<?xml version="1.0" encoding="UTF-8"?>
<feed xmlns="http://www.w3.org/2005/Atom">
    <title>ai</title>
    <link rel="self" type="application/atom+xml" href="https://links.biapy.com/guest/tags/2/feed"/>
    <updated>2026-07-28T02:23:42+00:00</updated>
    <id>https://links.biapy.com/guest/tags/2/feed</id>
            <entry>
            <id>https://links.biapy.com/links/13435</id>
            <title type="text"><![CDATA[Kritt]]></title>
            <link rel="alternate" href="https://kritt.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13435"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Orchestrate AI agents to find real vulnerabilities in code.

An open-source, self-hosted security research platform that turns focused AI analysis into de-duplicated, ranked findings with configurable validation and enrichment.

- [Kritt @ GitHub](https://github.com/Kritt-ai/open-kritt).]]>
            </summary>
            <updated>2026-07-27T12:30:44+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13434</id>
            <title type="text"><![CDATA[OpenConnector]]></title>
            <link rel="alternate" href="https://github.com/oomol-lab/open-connector" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13434"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open-source auth gateway connecting 1000+ SaaS providers to AI agents through SDK, CLI, MCP, HTTP, and OpenAPI.

OpenConnector is an open-source connector gateway for AI agents and an alternative to Composio. Connect user app accounts once, then expose a shared catalog of 1,000+ providers and 10,000+ prebuilt Actions to agents and applications.]]>
            </summary>
            <updated>2026-07-27T12:29:38+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13418</id>
            <title type="text"><![CDATA[Cleat]]></title>
            <link rel="alternate" href="https://cleat.sh/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13418"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Give the agent a cage, not your keys.

 Give the agent a cage, not your keys. One-command Docker sandbox for AI coding agents: full autonomous permissions, per-project isolation, your host stays untouched. 

- [Cleat @ GitHub](https://github.com/cleatdev/cleat).]]>
            </summary>
            <updated>2026-07-27T05:39:29+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13416</id>
            <title type="text"><![CDATA[OpenGeni]]></title>
            <link rel="alternate" href="https://opengeni.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13416"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The open agent runtime.

Open, self-hostable agentic runtime for organizations — durable, replayable agent sessions, human approvals, governed credentials and memory, running in managed sandboxes or on your own hardware. Apache-2.0.

- [OpenGeni @ GitHub](https://github.com/Cloudgeni-ai/opengeni).]]>
            </summary>
            <updated>2026-07-27T05:34:50+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13411</id>
            <title type="text"><![CDATA[Flint]]></title>
            <link rel="alternate" href="https://microsoft.github.io/flint-chart/#/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13411"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A Visualization Language for the AI Era.

Flint is a visualization intermediate language that lets AI agents reliably create expressive, good-looking charts from simple, human-editable chart specs. Instead of requiring verbose low-level parameters such as scales, axes, spacing, and layout, the Flint compiler derives optimized chart settings from the data, semantic types, chart type, and encodings. Flint supports 46 chart types, and it supports rendering in Vega-Lite, ECharts, and Chart.js.

- [Flint @ GitHub](https://github.com/microsoft/flint-chart).]]>
            </summary>
            <updated>2026-07-24T13:15:00+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13396</id>
            <title type="text"><![CDATA[Palmier Pro]]></title>
            <link rel="alternate" href="https://www.palmier.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13396"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The video editor built for AI.

Let AI tools like Claude and Codex directly read and edit your multi-track timeline. Generate images and videos inline using the latest models.

- [Palmier Pro @ GitHub](https://github.com/palmier-io/palmier-pro).]]>
            </summary>
            <updated>2026-07-24T12:22:50+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13393</id>
            <title type="text"><![CDATA[code-review-graph]]></title>
            <link rel="alternate" href="https://code-review-graph.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13393"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Local code intelligence for MCP.

Local-first code intelligence graph for MCP and CLI. Builds a persistent map of your codebase so AI coding tools read only what matters, with benchmarked context reductions on reviews and large-repo workflows.

- [code-review-graph @ GitHub](https://github.com/tirth8205/code-review-graph).]]>
            </summary>
            <updated>2026-07-24T12:09:56+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13384</id>
            <title type="text"><![CDATA[Petals]]></title>
            <link rel="alternate" href="https://petals.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13384"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Run LLMs at home, BitTorrent-style.

 You load a part of the model, then join a network of people serving its other parts. Single‑batch inference runs at up to 6 tokens/sec for Llama 2 (70B) and up to 4 tokens/sec for Falcon (180B) — enough for chatbots and interactive apps. 

- [Petals @ GitHub](https://github.com/bigscience-workshop/petals).]]>
            </summary>
            <updated>2026-07-23T11:49:42+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13383</id>
            <title type="text"><![CDATA[Visa Vulnerability Agentic Harness]]></title>
            <link rel="alternate" href="https://github.com/visa/visa-vulnerability-agentic-harness" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13383"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Agentic SAST Pipeline.

VVAH is Visa&amp;#039;s open-source harness for autonomous vulnerability discovery, remediation, and validation using frontier AI models, built on learnings from Project Glasswing (Anthropic&amp;#039;s initiative for AI-assisted vulnerability research).]]>
            </summary>
            <updated>2026-07-23T11:12:47+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13379</id>
            <title type="text"><![CDATA[Hugging Bay]]></title>
            <link rel="alternate" href="https://huggingbay.xyz/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13379"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open AI Artifact Metadata.

Hugging Bay publishes open AI catalog metadata, source provenance, license records, neutral hosted-file inventory, answer packs, and recorded hashes. Canonical bundle verification and runtime readiness remain unknown.]]>
            </summary>
            <updated>2026-07-23T06:34:58+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13378</id>
            <title type="text"><![CDATA[Mesh LLM]]></title>
            <link rel="alternate" href="https://meshllm.cloud/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13378"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Distributed AI/LLM for the people. Share compute privately or publicly to power your agents and chat. 

Mesh LLM pools GPUs and memory across machines and exposes the result as one OpenAI-compatible API at http://localhost:9337/v1. Start one node, add more nodes later, and let the mesh decide whether a model runs locally, routes to a peer, or uses Skippy stage splits for models that are too large for one box.

- [Mesh LLM @ GitHub](https://github.com/Mesh-LLM/mesh-llm).]]>
            </summary>
            <updated>2026-07-23T06:34:13+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13369</id>
            <title type="text"><![CDATA[agtop]]></title>
            <link rel="alternate" href="https://github.com/ldegio/agtop" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13369"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[top-style TUI for monitoring AI coding agent sessions.

Your window into what your AI coding agents are doing, sitting in the terminal, where you run them. agtop is a top-style terminal dashboard that tracks every Claude Code and Codex session on your machine: spend, token usage, context pressure, CPU load, tool invocations, and more. All in one place, live.]]>
            </summary>
            <updated>2026-07-23T05:53:27+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13365</id>
            <title type="text"><![CDATA[Odysseus]]></title>
            <link rel="alternate" href="https://odysseus-dev.github.io/odysseus/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13365"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A Self-Hosted AI Workspace.

 A self-hosted AI workspace for chat, agents, research, documents, email, notes, calendar, and local model workflows. 

- [Odysseus @ GitHub](https://github.com/odysseus-dev/odysseus).

Related contents:

- [Episode 676: Fork Around and Find Out @ Linux Unplugged](https://linuxunplugged.com/676).]]>
            </summary>
            <updated>2026-07-22T11:26:54+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13359</id>
            <title type="text"><![CDATA[Nativ]]></title>
            <link rel="alternate" href="https://blaizzy.github.io/nativ/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13359"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Run AI locally on your Mac.

 Local AI, native to your Mac. Chat, serve, monitor, and connect MLX models from one macOS app. 

- [Nativ @ GitHub](https://github.com/Blaizzy/nativ).]]>
            </summary>
            <updated>2026-07-21T12:13:30+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13351</id>
            <title type="text"><![CDATA[AgentSmith]]></title>
            <link rel="alternate" href="https://github.com/PromptPartner/agentsmith" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13351"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Universal, model-agnostic operating harness for AI agents (Claude, Codex, Gemini, …) — a lean core + work-type profiles assembled by one setup script.]]>
            </summary>
            <updated>2026-07-21T06:35:32+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13350</id>
            <title type="text"><![CDATA[QuantumByte]]></title>
            <link rel="alternate" href="https://quantumbyte.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13350"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[AI Builder Real World Apps.
Open-source app builder engine — intent to working app.

 The open-source Convergence App Builder.
Generate a working app from intent, then verify every agent turn against its business requirements. 

- [QuantumByte @ GitHub](https://github.com/QuantumByteOSS/quantumbyte).]]>
            </summary>
            <updated>2026-07-21T06:32:50+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13349</id>
            <title type="text"><![CDATA[Flawless]]></title>
            <link rel="alternate" href="https://github.com/William-Lu-stack/Flawless" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13349"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[AI SRE AgenticOps for Kubernetes and cloud infrastructure. 
Your infrastructure can explain itself, heal safely, and prove it recovered.

Flawless is an AI-native SRE control plane for Kubernetes and cloud infrastructure. It connects alerts, evidence, topology, human approval, controlled remediation, and recovery verification in one auditable AgenticOps loop.]]>
            </summary>
            <updated>2026-07-21T06:25:11+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13341</id>
            <title type="text"><![CDATA[LoopGain]]></title>
            <link rel="alternate" href="https://loopgain.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13341"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[cost control for AI agent loops.
Your AI agent loops don&amp;#039;t know when to stop. LoopGain does.

When an agent keeps checking and revising its own work, it often spins on a problem it can&amp;#039;t solve — or talks itself into an answer worse than one it already had. LoopGain watches the loop as it runs, stops it at the right iteration, and keeps the best version, not the last. 

- [LoopGain @ GitHub](https://github.com/loopgain-ai/loopgain).]]>
            </summary>
            <updated>2026-07-20T12:16:12+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13340</id>
            <title type="text"><![CDATA[ReactBench]]></title>
            <link rel="alternate" href="https://www.reactbench.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13340"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[ReactBench is an evaluation for coding agents on realistic React work. Models can pass every test in today’s benchmarks and still write React that fails in production. Tests verify behavior, but they miss React performance, accessibility, and quality issues.

- [ReactBench @ GitHub](https://github.com/millionco/reactbench).]]>
            </summary>
            <updated>2026-07-20T12:14:56+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13318</id>
            <title type="text"><![CDATA[llm-wiki]]></title>
            <link rel="alternate" href="https://gist.github.com/karpathy/442a6bf555914893e9891c11519de94f" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13318"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A pattern for building personal knowledge bases using LLMs.

This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.

Related contents:

- [Karpathy&amp;#039;s LLM Wiki @ Hermes Agent&amp;#039;s GitHub](https://github.com/NousResearch/hermes-agent/blob/main/skills/research/llm-wiki/SKILL.md).
- [Episode 675: Sloppy Agent Roasting @ Linux Unplugged](https://linuxunplugged.com/675).]]>
            </summary>
            <updated>2026-07-16T05:43:23+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13307</id>
            <title type="text"><![CDATA[Moebius Inpainting — WebGPU]]></title>
            <link rel="alternate" href="https://simonw.github.io/moebius-web/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13307"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Run the Moebius inpainting model in the browser.

Paint over a region of an image to replace it; the denoising loop runs locally on your GPU. The first run downloads ~1.27 GB of weights from Hugging Face (then browser-cached). A WebGPU-capable browser (recent Chrome or Safari) is required.

- [moebius-web @ GitHub](https://github.com/simonw/moebius-web/).

Related contents:

- [Moebius - Effacer un objet d&amp;#039;une photo depuis votre navigateur @ Korben :fr:](https://korben.info/inpainting-image-navigateur-local.html).]]>
            </summary>
            <updated>2026-07-15T11:34:35+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13306</id>
            <title type="text"><![CDATA[QUALITY.md]]></title>
            <link rel="alternate" href="https://getquality.md/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13306"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Engineer loops to improve project quality, aligning your team and agents on what quality means for what matters most.

- [QUALITY.md @ GitHub](https://github.com/qualitymd/quality.md).]]>
            </summary>
            <updated>2026-07-15T08:52:20+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13296</id>
            <title type="text"><![CDATA[HASP]]></title>
            <link rel="alternate" href="https://gethasp.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13296"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Hand the agent the keys.
Without actually handing it the keys.
 HASP is a local-first broker for managed secrets in agent workflows.

A local broker that holds your secrets in one encrypted vault and hands them to apps and coding agents when needed, only inside the project boundary, only for the window you allow, and never as a value the agent can see.

Agents need credentials to run tests, call APIs, and deploy code. Copying those credentials into prompts, shell history, .env files, or repo-local notes makes the agent faster today and harder to trust tomorrow. HASP keeps secrets in a local encrypted vault and gives commands only the values they are allowed to use at runtime.

- [HASP @ GitHub](https://github.com/gethasp/hasp).]]>
            </summary>
            <updated>2026-07-15T08:29:37+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13280</id>
            <title type="text"><![CDATA[mimic]]></title>
            <link rel="alternate" href="https://github.com/littledivy/mimic" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13280"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Intercept any app, then call it from Python like a library.]]>
            </summary>
            <updated>2026-07-15T06:49:53+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13275</id>
            <title type="text"><![CDATA[mindwalk]]></title>
            <link rel="alternate" href="https://github.com/cosmtrek/mindwalk" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13275"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A visualization tool that replays coding-agent sessions on a 3D map of your codebase.]]>
            </summary>
            <updated>2026-07-15T06:18:49+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13245</id>
            <title type="text"><![CDATA[Cube Sandbox]]></title>
            <link rel="alternate" href="https://cubesandbox.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13245"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Empowering your AI Agents.
Instant, Concurrent, Secure &amp;amp; Lightweight Sandbox Service for AI Agents.

Cube Sandbox is a high-performance, out-of-the-box secure sandbox service built on RustVMM and KVM. It supports both single-node deployment and easy scaling to multi-node clusters. It is compatible with the E2B SDK and can create a hardware-isolated, fully serviceable sandbox in under 60ms with less than 5MB of memory overhead.

-  [Cube Sandbox @ GitHub](https://github.com/TencentCloud/CubeSandbox).]]>
            </summary>
            <updated>2026-07-08T12:05:37+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13241</id>
            <title type="text"><![CDATA[Otari Gateway]]></title>
            <link rel="alternate" href="https://otari.ai/docs/gateway" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13241"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Otari Gateway is the open-source gateway that puts a single OpenAI-compatible API in front of many LLM providers.

Run it in your own infrastructure. Use it standalone, or connect it to otari.ai for hosted routing, authentication, and usage reporting.

- [Otari Gateway @ GitHub](https://github.com/mozilla-ai/otari).]]>
            </summary>
            <updated>2026-07-08T06:05:52+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13238</id>
            <title type="text"><![CDATA[Wayfinder]]></title>
            <link rel="alternate" href="https://github.com/itsthelore/wayfinder-router" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13238"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Simple CLI tool for deterministic routing of queries between local and hosted LLM models.

A fast, offline hard-or-easy call on every prompt — scored deterministically, with no model call. Route the easy ones to your small/local model and the hard ones to your big one, or compose any model-router behind it.]]>
            </summary>
            <updated>2026-07-07T05:52:05+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13231</id>
            <title type="text"><![CDATA[Agent Client Protocol (ACP)]]></title>
            <link rel="alternate" href="https://agentclientprotocol.com/get-started/introduction" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13231"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The Agent Client Protocol (ACP) standardizes communication between code editors/IDEs and coding agents and is suitable for both local and remote scenarios.

Related contents:

- [ACP vs MCP: What&amp;#039;s the difference for agentic coding? @ circleci Blog](https://circleci.com/blog/acp-vs-mcp-whats-the-difference-for-agentic-coding/).]]>
            </summary>
            <updated>2026-07-06T12:09:05+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13227</id>
            <title type="text"><![CDATA[T3MP3ST]]></title>
            <link rel="alternate" href="https://github.com/elder-plinius/T3MP3ST" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13227"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[autonomous red teaming platform; multi-agent offensive-security meta-harness.

A multi-agent offensive-security framework, built to turn the AI coding agent you already run into a zero-day hunter.]]>
            </summary>
            <updated>2026-07-06T11:34:44+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13226</id>
            <title type="text"><![CDATA[claude-real-video]]></title>
            <link rel="alternate" href="https://github.com/HUANGCHIHHUNGLeo/claude-real-video" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13226"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Let Claude (or any LLM) actually watch a video — scene-aware, deduplicated frames + transcript, from a URL or local file. Runs locally, MIT.]]>
            </summary>
            <updated>2026-07-06T11:33:48+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13223</id>
            <title type="text"><![CDATA[Hermex]]></title>
            <link rel="alternate" href="https://hermexapp.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13223"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Control HermesFrom your iPhone

A native iPhone client for your self-hosted Hermes agent. Open sessions, stream responses, steer model / profile / reasoning, attach files, and browse your workspace — all from your phone. The agent runs on your server, not your iPhone.

- [Hermex @ GitHub](https://github.com/uzairansaruzi/hermex).]]>
            </summary>
            <updated>2026-07-06T11:30:30+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13217</id>
            <title type="text"><![CDATA[terraform-review-agent]]></title>
            <link rel="alternate" href="https://github.com/infiniumtek/terraform-review-agent" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13217"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Reusable GitHub Action that reviews Terraform PRs for security, cost, and style using a LangGraph multi-agent system, posting a single severity-ranked comment.]]>
            </summary>
            <updated>2026-07-06T07:13:46+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13216</id>
            <title type="text"><![CDATA[Datadog Static AI Security Testing (SAIST) tool]]></title>
            <link rel="alternate" href="https://github.com/DataDog/datadog-saist?utm_source=devopsbulletin.com" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13216"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[This project is an AI-Native SAST tool. Unlike traditional SAST tools that rely solely on parsing and analysis rules, this project uses LLM (e.g. Claude from Anthropic, GPT from OpenAI or Gemini from Google) to find vulnerabilities.]]>
            </summary>
            <updated>2026-07-06T07:12:13+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13204</id>
            <title type="text"><![CDATA[ContextForge AI Gateway]]></title>
            <link rel="alternate" href="https://ibm.github.io/mcp-context-forge/latest/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13204"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[An open source registry and proxy that federates MCP, A2A, and REST/gRPC APIs with centralized governance, discovery, and observability. Optimizes Agent &amp;amp; Tool calling, and supports plugins.

ContextForge is an open source registry and proxy that federates tools, agents, and APIs into one clean endpoint for your AI clients. It provides centralized governance, discovery, and observability across your AI infrastructure.

- [ContextForge @ GitHub](https://github.com/IBM/mcp-context-forge).]]>
            </summary>
            <updated>2026-07-03T11:45:33+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13189</id>
            <title type="text"><![CDATA[OneGlanse]]></title>
            <link rel="alternate" href="https://oneglanse.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13189"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The Open-Source AI Visibility &amp;amp; GEO Tracker.

Free and open source. Track how your brand appears inside ChatGPT, Gemini, Perplexity, Claude, and Google AI Overview while using your own accounts, on your own infrastructure.

- [OneGlanse @ GitHub](https://github.com/aryamantodkar/oneglanse).]]>
            </summary>
            <updated>2026-07-02T15:22:37+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13186</id>
            <title type="text"><![CDATA[DESIGN.md]]></title>
            <link rel="alternate" href="https://stitch.withgoogle.com/docs/design-md/specification" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13186"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A format specification for describing a visual identity to coding agents. DESIGN.md gives agents a persistent, structured understanding of a design system. 

- [DESIGN.md @ GitHub](https://github.com/google-labs-code/design.md).]]>
            </summary>
            <updated>2026-07-02T15:19:28+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13185</id>
            <title type="text"><![CDATA[AntV Infographic]]></title>
            <link rel="alternate" href="https://infographic.antv.vision/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13185"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[🦋 An Infographic Generation and Rendering Framework, bring words to life with AI!

AntV Infographic is AntV&amp;#039;s next-generation declarative infographic visualization engine. With a carefully designed infographic syntax, it can quickly and flexibly render high-quality infographics, making information presentation more efficient and data storytelling simpler.

- [AntV Infographic @ GitHub](https://github.com/antvis/Infographic).]]>
            </summary>
            <updated>2026-07-02T15:18:09+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13178</id>
            <title type="text"><![CDATA[OpenWiki]]></title>
            <link rel="alternate" href="https://github.com/langchain-ai/openwiki" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13178"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[OpenWiki is a CLI that writes and maintains documentation for your codebase, built specifically for agents.]]>
            </summary>
            <updated>2026-07-02T12:13:21+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13177</id>
            <title type="text"><![CDATA[Anthropic Sandbox Runtime (srt)]]></title>
            <link rel="alternate" href="https://github.com/anthropic-experimental/sandbox-runtime" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13177"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A lightweight sandboxing tool for enforcing filesystem and network restrictions on arbitrary processes at the OS level, without requiring a container. 

Related contents:

- [Sandboxing an AI Agent @ Sajal Sharma](https://sajalsharma.com/posts/sandboxing-an-ai-agent/).]]>
            </summary>
            <updated>2026-07-02T12:08:49+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13174</id>
            <title type="text"><![CDATA[Antenna]]></title>
            <link rel="alternate" href="https://antennafeed.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13174"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Subscribe once.
Read by email or over MCP.

Antenna stores your feed subscriptions in one local SQLite index, then routes new posts to email and to AI agents over MCP from the same data. No vendor cloud. No proprietary lock-in. Your subscription graph lives in a file you control. 

- [Antenna @ GitHub](https://github.com/toddllm/antenna).

Related contents:

- [MCP : les serveurs et outils à connaître en 2026 @ Camille Roux :fr:](https://www.camilleroux.com/mcp-serveurs-outils/).]]>
            </summary>
            <updated>2026-07-02T06:07:59+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13170</id>
            <title type="text"><![CDATA[Guardian Framework]]></title>
            <link rel="alternate" href="https://github.com/arman-jalili/guardian-framework" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13170"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Architecture Enforcement Framework for AI-Assisted Development.

Guardian turns software architecture into executable constraints. Instead of relying on documentation, code reviews, and tribal knowledge to prevent architectural drift, Guardian continuously verifies that implementations conform to architectural decisions throughout development.]]>
            </summary>
            <updated>2026-07-01T12:52:16+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13167</id>
            <title type="text"><![CDATA[Fenic]]></title>
            <link rel="alternate" href="https://fenic.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13167"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Semantic DataFrames for humans and agents.

fenic turns AI-assisted exploration of structured and unstructured data into reusable, inspectable DataFrame pipelines.

It&amp;#039;s a DataFrame query engine for semantic data processing, with AI operators — extract, classify, summarize, embed, semantic join, and more — built into the query model. Use it to turn documents, transcripts, logs, eval traces, tickets, tables, and APIs into typed rows and repeatable workflows.

- [Fenic @ GitHub](https://github.com/typedef-ai/fenic).]]>
            </summary>
            <updated>2026-07-01T11:39:45+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13165</id>
            <title type="text"><![CDATA[OmniRoute]]></title>
            <link rel="alternate" href="https://omniroute.online/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13165"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Free AI Gateway for Multi-Provider LLMs.

 Never stop coding. Free AI gateway: one endpoint, 231+ providers (50+ free), connect Claude Code, Codex, Cursor, Cline &amp;amp; Copilot to FREE Claude/GPT/Gemini. RTK+Caveman stacked compression saves 15-95% tokens, smart auto-fallback, MCP/A2A, multimodal APIs, Desktop/PWA. 

- [OmniRoute @ GitHub](https://github.com/diegosouzapw/OmniRoute).]]>
            </summary>
            <updated>2026-07-01T11:35:46+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13164</id>
            <title type="text"><![CDATA[Open Knowledge Format (OKF)]]></title>
            <link rel="alternate" href="https://github.com/GoogleCloudPlatform/knowledge-catalog/tree/main/okf" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13164"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[OKF is a universal, vendor-neutral format for representing knowledge as plain markdown files with YAML frontmatter. It is not tied to any particular agent, framework, model provider, or serving system.

Related contents:

- [Introducing the Open Knowledge Format @ Google Cloud Blog](https://cloud.google.com/blog/products/data-analytics/how-the-open-knowledge-format-can-improve-data-sharing).
- [LLM Wiki @ Andrej karpathy&amp;#039;s GitHub Gist](https://gist.github.com/karpathy/442a6bf555914893e9891c11519de94f).]]>
            </summary>
            <updated>2026-06-30T13:39:11+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13156</id>
            <title type="text"><![CDATA[OpenPencil]]></title>
            <link rel="alternate" href="https://op.zseven.tech/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13156"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[AI-Native Open-Source Design Tool.

 The world&amp;#039;s first open-source AI-native vector design tool and the first to feature concurrent Agent Teams. Design-as-Code. Turn prompts into UI directly on the live canvas. A modern alternative to Pencil. 

- [OpenPencil @ GitHub](https://github.com/ZSeven-W/openpencil).]]>
            </summary>
            <updated>2026-06-29T12:32:34+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13153</id>
            <title type="text"><![CDATA[OpenFugu]]></title>
            <link rel="alternate" href="https://github.com/trotsky1997/OpenFugu" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13153"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open reimplementation of Sakana Fugu — the &amp;#039;one model to command them all&amp;#039; LLM orchestrator. Read → run → train → serve. 

An open, runnable reverse-engineering of Sakana AI&amp;#039;s Fugu — the &amp;quot;one model to command them all&amp;quot; LLM orchestrator.

Fugu is sold as a single model; it is really a policy over models — a tiny coordinator that, per query, routes work to a pool of frontier LLMs and returns one answer. Sakana&amp;#039;s product and trained weights are closed. OpenFugu rebuilds the mechanism from the two papers + released artifacts, verifies it against real weights, trains a Conductor of our own, and serves it behind one OpenAI-compatible endpoint. Four stages, all working: read → run → train → serve.]]>
            </summary>
            <updated>2026-06-29T10:49:49+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13150</id>
            <title type="text"><![CDATA[Osmantic Deployment System (ODS)]]></title>
            <link rel="alternate" href="https://github.com/Light-Heart-Labs/ODS" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13150"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Turn your PC, Mac, or Linux box into an AI server. LLM inference, chat UI, voice, agents, workflows, RAG, and image generation. 

Related contents:

- [Dream Server - Un serveur IA complet chez vous en une commande @ Korben :fr:](https://korben.info/dream-server-ia-locale-auto-hebergee.html).]]>
            </summary>
            <updated>2026-06-29T08:53:53+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13138</id>
            <title type="text"><![CDATA[AXI: Agent eXperience Interface]]></title>
            <link rel="alternate" href="https://axi.md/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13138"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Design principles for agent ergonomics. Higher accuracy with lower token cost than both MCP and regular CLI. 

AXI is a new paradigm - agent-native CLI tools built from 10 design principles that treat token budget as a first-class constraint.

- [AXI @ GitHub](https://github.com/kunchenguid/axi).

Related contents:

- [L8 Principal&amp;#039;s Agentic Engineering Workflow @ Kun Chen&amp;#039;s YouTube](https://www.youtube.com/watch?v=iQyg-KypKAA).]]>
            </summary>
            <updated>2026-06-29T05:46:56+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13137</id>
            <title type="text"><![CDATA[Lavish]]></title>
            <link rel="alternate" href="https://github.com/kunchenguid/lavish-axi" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13137"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[HTML is the new markdown. Lavish is the new editor for your HTML artifacts. 

Lavish Editor opens agent-generated HTML files in a local browser, lets you pinpoint elements or selected text and send feedback to the agent to address.

Related contents:

- [L8 Principal&amp;#039;s Agentic Engineering Workflow @ Kun Chen&amp;#039;s YouTube](https://www.youtube.com/watch?v=iQyg-KypKAA).]]>
            </summary>
            <updated>2026-06-29T05:45:39+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13136</id>
            <title type="text"><![CDATA[good night, have fun (gnhf)]]></title>
            <link rel="alternate" href="https://github.com/kunchenguid/gnhf" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13136"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Before I go to bed, I tell my agents: good night, have fun.

gnhf is a ralph, autoresearch-style orchestrator that keeps your agents running while you sleep — each iteration makes one small, committed, documented change towards an objective. You wake up to a branch full of clean work and a log of everything that happened.

Related contents:

- [L8 Principal&amp;#039;s Agentic Engineering Workflow @ Kun Chen&amp;#039;s YouTube](https://www.youtube.com/watch?v=iQyg-KypKAA).]]>
            </summary>
            <updated>2026-06-29T05:44:38+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13135</id>
            <title type="text"><![CDATA[Treehouse]]></title>
            <link rel="alternate" href="https://github.com/kunchenguid/treehouse" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13135"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Manage worktrees without managing worktrees.

Treehouse helps you manage a pool of reusable, isolated worktrees so each of your agents gets its own environment instantly — no cloning, no conflicts, no coordination overhead.

Related contents:

- [L8 Principal&amp;#039;s Agentic Engineering Workflow @ Kun Chen&amp;#039;s YouTube](https://www.youtube.com/watch?v=iQyg-KypKAA).]]>
            </summary>
            <updated>2026-06-29T05:43:22+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13131</id>
            <title type="text"><![CDATA[OWASP Gen AI Security Project]]></title>
            <link rel="alternate" href="https://genai.owasp.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13131"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The OWASP Gen AI Security Project is an OWASP Flagship Project and global, open-source initiative dedicated to identifying, mitigating, and documenting security and safety risks associated with generative AI technologies, including large language models (LLMs), agentic AI systems, and AI-driven applications. Our mission is to empower organizations, security professionals, AI practitioners, and policymakers with comprehensive, actionable guidance and tools to ensure the secure development, deployment, and governance of generative AI systems. 

- [Gen AI Security Project @ GitHub](https://github.com/genai-security-project).

Related contents:

- [Running AI Agents Safely Inside Kubernetes @ KodeKloud](https://kodekloud.com/blog/running-ai-agents-safely-inside-kubernetes/).]]>
            </summary>
            <updated>2026-06-29T05:13:48+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13126</id>
            <title type="text"><![CDATA[Modelplane]]></title>
            <link rel="alternate" href="https://modelplane.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13126"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The open source control plane for AI inference.

Modelplane is software you install and run in your own environment to orchestrate models, the serving stack, and the infrastructure underneath across cloud, neocloud, and on-premise. It runs any model on any engine on any infrastructure, from a single GPU to disaggregated, multi-node deployments. Built on Crossplane, it is an active system that continuously reconciles your fleet toward the state you declare: provisioning inference clusters, scheduling deployments onto compatible clusters, scaling replicas, caching weights, and routing traffic.

- [Modelplane @ GitHub](https://github.com/modelplaneai/modelplane).

Related contents:

- [Building Modelplane on Crossplane @ Crossplane Blog](https://blog.crossplane.io/building-modelplane/).]]>
            </summary>
            <updated>2026-06-26T11:50:41+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13125</id>
            <title type="text"><![CDATA[git push no-mistakes]]></title>
            <link rel="alternate" href="https://kunchenguid.github.io/no-mistakes/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13125"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[git push no-mistakes

no-mistakes puts a local git proxy in front of your real remote. Push to no-mistakes instead of origin, and it spins up a disposable worktree, runs an AI-driven validation pipeline, forwards the branch to the configured push target only after every check passes, and opens a clean PR automatically.

- [git push no-mistakes @ GitHub](https://github.com/kunchenguid/no-mistakes).]]>
            </summary>
            <updated>2026-06-26T11:46:57+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13120</id>
            <title type="text"><![CDATA[Strix]]></title>
            <link rel="alternate" href="https://www.strix.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13120"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Autonomous Security for the AI Era.

Open-source AI hackers to find and fix your app’s vulnerabilities. 
Strix are autonomous AI agents that act just like real hackers - they run your code dynamically, find vulnerabilities, and validate them through actual proof-of-concepts. Built for developers and security teams who need fast, accurate security testing without the overhead of manual pentesting or the false positives of static analysis tools.

- [Strix @ GitHub](https://github.com/usestrix/strix).

Related contents:

- [Strix : le pentester IA open-source à l&amp;#039;épreuve de la souveraineté @ DevSecOps :fr:](https://blog.stephane-robert.info/post/strix-pentester-ia-souverainete/).]]>
            </summary>
            <updated>2026-06-26T09:52:34+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13095</id>
            <title type="text"><![CDATA[llama.vscode]]></title>
            <link rel="alternate" href="https://github.com/ggml-org/llama.vscode" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13095"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[VS Code extension for LLM-assisted code/text completion.

Local LLM-assisted text completion, chat with AI and agentic coding extension for VS Code.

Related contents:

- [5 AI Extensions to Help Improve Your VS Code Experience @ The New Stack](https://thenewstack.io/5-ai-extensions-to-help-improve-your-vs-code-experience/).]]>
            </summary>
            <updated>2026-06-23T06:26:29+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13094</id>
            <title type="text"><![CDATA[🔬 Scholar Loop]]></title>
            <link rel="alternate" href="https://github.com/renee-jia/scholar-loop" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13094"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Autonomous, multi-agent AI research — a PhD&amp;#039;s workflow on a single-GPU budget.

 An autonomous AI scientist: a multi-agent loop over literature, experiments, self-critique and write-up, with deterministic guards against reward-hacking and hallucination. 

ScholarLoop runs the loop a PhD actually runs: it reads the literature, forms a grounded hypothesis, runs real ML experiments, scores them against a frozen ground-truth metric, learns from its failures, and drafts a peer-reviewed write-up — autonomously, with a deterministic harness that keeps the agents honest and impossible to reward-hack.]]>
            </summary>
            <updated>2026-06-23T06:24:51+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13093</id>
            <title type="text"><![CDATA[Shard]]></title>
            <link rel="alternate" href="https://github.com/leyten/shard" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13093"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Pipeline-parallel LLM inference across GPUs on separate machines.

Pipeline-parallel LLM inference across GPUs on separate machines. A model too large for any single card is split into contiguous blocks of layers — one shard per GPU — and a request is served by streaming activations through the shards in order. No datacenter, no single host, and no node ever holds the whole model.]]>
            </summary>
            <updated>2026-06-23T06:23:33+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13091</id>
            <title type="text"><![CDATA[Junction]]></title>
            <link rel="alternate" href="https://github.com/Plaer1/junction" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13091"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[VS Code chat sidebar for local AI coding agents.

A VS Code chat sidebar that connects your editor to local AI coding agents.]]>
            </summary>
            <updated>2026-06-23T06:21:09+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13077</id>
            <title type="text"><![CDATA[AISLE]]></title>
            <link rel="alternate" href="https://aisle.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13077"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[AI-Native Vulnerability Management.

AISLE finds, fixes, and verifies vulnerabilities autonomously – proven on the world&amp;#039;s most audited codebases. Deploy anywhere: cloud, on-prem, or fully air-gapped.

Related contents:

- [&amp;quot;Mythos&amp;quot; at Home, and It&amp;#039;s Called AISLE @ AISLE](https://aisle.com/blog/mythos-at-home-and-its-called-aisle).]]>
            </summary>
            <updated>2026-06-22T07:31:34+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13055</id>
            <title type="text"><![CDATA[Clear]]></title>
            <link rel="alternate" href="https://sahin.io/clear/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13055"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Intent-First Agentic Development Language.

Clear is a programming language where your specification and implementation are the same file. If you can describe what it should do, you have already written it.

- [Clear @ GitHub](https://github.com/sahin/clear).]]>
            </summary>
            <updated>2026-06-19T11:22:11+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13048</id>
            <title type="text"><![CDATA[Repo readiness infrastructure for developer onboarding and AI agents]]></title>
            <link rel="alternate" href="https://ota.run/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13048"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[One explicit contract for repo readiness.
Repo readiness infrastructure for developer onboarding and AI agents.

ota is an open infrastructure for repo readiness. It gives each repo one explicit contract for readiness, diagnosis, setup, and execution, so humans, CI, and AI agents know the next safe action instead of guessing through README drift.

- [OTA @ GitHub](https://github.com/ota-run/ota).]]>
            </summary>
            <updated>2026-06-18T15:24:01+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13045</id>
            <title type="text"><![CDATA[unf — filesystem flight recorder]]></title>
            <link rel="alternate" href="https://www.unfudged.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13045"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A filesystem flight recorder. Captures every text-based file change in real-time.
Your AI agent just wiped your workspace. You didn&amp;#039;t commit.

UNF* recorded every version. Rewind any file to any second.
No commits required.

- [UNFUDGED @ GitHub](https://github.com/cyrusradfar/homebrew-unf).]]>
            </summary>
            <updated>2026-06-18T15:16:23+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13036</id>
            <title type="text"><![CDATA[Nubase]]></title>
            <link rel="alternate" href="https://nubase.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13036"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Turn AI-written code into real apps.
Nubase is an open-source, AI-native backend platform for AI Coding, agentic applications, and modern product teams: Memory, Database, Storage, and Auth in one self-hostable service. 

- [Nubase @ GitHub](https://github.com/OtterMind/Nubase).]]>
            </summary>
            <updated>2026-06-17T12:03:41+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13024</id>
            <title type="text"><![CDATA[Hermes-USB-Portable]]></title>
            <link rel="alternate" href="https://github.com/techjarves/Hermes-USB-Portable" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13024"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[🛸 Hermes Agent — Portable &amp;amp; Cross-Platform.

Run a fully self-contained, self-improving AI agent from a single folder or USB drive.
No global installation. Zero host pollution. All conversations, configs, memories, and skills stay inside your folder.]]>
            </summary>
            <updated>2026-06-15T06:09:31+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13008</id>
            <title type="text"><![CDATA[Agent Substrate]]></title>
            <link rel="alternate" href="https://github.com/agent-substrate/substrate/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13008"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Agent substrate is a system built on top of Kubernetes which manages agent-like workloads to achieve higher scale and efficiency than Kubernetes alone can offer, with lower latency. It builds on top of Kubernetes features like Pods and Pod autoscaling, but takes the Kubernetes control-plane out of the critical path to achieve lower latency.

Related contents:

- [Agent substrate can power agents on Kubernetes with kagent @ Solo.io](https://www.solo.io/blog/agent-substrate-powers-kubernetes-agents-with-kagent).]]>
            </summary>
            <updated>2026-06-12T11:43:46+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12999</id>
            <title type="text"><![CDATA[Apache Burr]]></title>
            <link rel="alternate" href="https://burr.apache.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12999"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Build applications that make decisions (chatbots, agents, simulations, etc...). Monitor, trace, persist, and execute on your own infrastructure. 

Apache Burr (incubating) makes it easy to develop applications that make decisions (chatbots, agents, simulations, etc...) from simple python building blocks.

Apache Burr works well for any application that uses LLMs, and can integrate with any of your favorite frameworks. Burr includes a UI that can track/monitor/trace your system in real time, along with pluggable persisters (e.g. for memory) to save &amp;amp; load application state.

- [Apache Burr @ GitHub](https://github.com/apache/burr).]]>
            </summary>
            <updated>2026-06-11T12:13:40+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12992</id>
            <title type="text"><![CDATA[Anthropic Courses @ Skill Jar]]></title>
            <link rel="alternate" href="https://anthropic.skilljar.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12992"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Learn how to use Claude for everyday work tasks, understand core features, and explore resources for more advanced learning on other topics.]]>
            </summary>
            <updated>2026-06-11T06:43:59+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12984</id>
            <title type="text"><![CDATA[Reader]]></title>
            <link rel="alternate" href="https://reader.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12984"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[AI Web Infrastructure Platform.

 Open source web infrastructure for AI. Scrape, crawl, and automate the web, clean markdown, browser sessions, ready for your agents. 

- [Reader @ GitHub](https://github.com/vakra-dev/reader).

Related contents:

- [Top 19 des alternatives open-source aux SaaS en 2026 @ Camille Roux :fr:](https://www.camilleroux.com/alternatives-open-source-saas-2026-v2/).]]>
            </summary>
            <updated>2026-06-10T12:46:46+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12961</id>
            <title type="text"><![CDATA[Scratch]]></title>
            <link rel="alternate" href="https://www.ericli.io/scratch" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12961"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A minimalist markdown scratchpad.

Scratch is an offline-first markdown notes app. It&amp;#039;s AI-friendly, keyboard-optimized, and design-centered.

- [Scratch @ GitHub](https://github.com/erictli/scratch).

Related contents:

- [Scratch - Des notes markdown que votre IA peut éditer @ Korben :fr:](https://korben.info/scratch-notes-markdown-offline-first.html).]]>
            </summary>
            <updated>2026-06-08T08:28:33+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12949</id>
            <title type="text"><![CDATA[NVIDIA Cosmos]]></title>
            <link rel="alternate" href="https://www.nvidia.com/en-us/ai/cosmos/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12949"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Physical AI with World Foundation Models.

 NVIDIA Cosmos is an open platform of world models, datasets, and tools that enables developers to build Physical AI for robots, autonomous vehicles, smart infrastructure, and more. 

- [NVIDIA Cosmos @ GitHub](https://github.com/NVIDIA/cosmos).]]>
            </summary>
            <updated>2026-06-05T12:11:32+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12948</id>
            <title type="text"><![CDATA[Odysseus]]></title>
            <link rel="alternate" href="https://pewdiepie-archdaemon.github.io/odysseus/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12948"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A Self-Hosted AI Workspace.

A self-hosted AI workspace -- meant to be the self-hosted version of the UI experience you get from ChatGPT and Claude. But with more jank and fun. Running on your own hardware, with your own data -- local-first, privacy-first, and no trojan.

- [Odysseus @ GitHub](https://github.com/pewdiepie-archdaemon/odysseus).]]>
            </summary>
            <updated>2026-06-05T12:10:22+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12945</id>
            <title type="text"><![CDATA[Open Code Review]]></title>
            <link rel="alternate" href="https://alibaba.github.io/open-code-review/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12945"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Agent Native Code Review.

 Battle-tested at Alibaba&amp;#039;s scale. Hybrid architecture code review tool: deterministic pipelines + LLM Agent, precise line-level comments, built-in fine-tuned ruleset (NPE, thread-safety, XSS, SQL injection), OpenAI &amp;amp; Anthropic compatible. 

- [Open Code Review @ GitHub](https://github.com/alibaba/open-code-review).]]>
            </summary>
            <updated>2026-06-05T11:13:32+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12944</id>
            <title type="text"><![CDATA[Horizon :cn:]]></title>
            <link rel="alternate" href="https://www.horizon1123.top/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12944"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Automated AI news aggregator &amp;amp; summarizer.
📡 Your own AI-powered news radar. Generates daily briefings in English &amp;amp; Chinese.

Good news is scattered; bad news is endless. Horizon gives you a personal first pass over Hacker News, Reddit, Telegram, RSS, and GitHub: it fetches, deduplicates, scores, filters, and enriches stories with background context and community discussion.

But Horizon is not just another summarizer. AI is great at reducing noise, but news still needs human taste: the sources you trust, the comments that change how you read a story, and the hidden gems only people can share. Horizon keeps that human layer in the loop with customizable sources, thresholds, models, languages, delivery channels, comment summaries, and a community source hub.

- [Horizon @ GitHub](https://github.com/Thysrael/Horizon).]]>
            </summary>
            <updated>2026-06-05T09:43:06+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12925</id>
            <title type="text"><![CDATA[Prempti]]></title>
            <link rel="alternate" href="https://github.com/falcosecurity/prempti" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12925"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Falco-powered policy and visibility layer for AI coding agents.

Prempti brings Falco to the world of AI coding agents. It gives you guardrails that can deny or ask for confirmation on unwanted behaviors, plus real-time visibility into every tool call your coding agent makes — shell commands, file writes, reads, API calls. Both are driven by Falco rules you can customize to fit your workflow.]]>
            </summary>
            <updated>2026-06-04T13:13:45+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12924</id>
            <title type="text"><![CDATA[RAMPART]]></title>
            <link rel="alternate" href="https://microsoft.github.io/RAMPART/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12924"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[RAMPART: Risk Assessment &amp;amp; Measurement Platform for Agentic Red Teaming.

RAMPART is a pytest-native safety testing framework for agentic AI applications. You write tests that attack or probe your agent, and RAMPART orchestrates the interaction, evaluates the outcome, and reports the results.

- [RAMPART @ GitHub](https://github.com/microsoft/RAMPART).]]>
            </summary>
            <updated>2026-06-04T13:12:47+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12918</id>
            <title type="text"><![CDATA[sandboxd]]></title>
            <link rel="alternate" href="https://github.com/tastyeffectco/sandboxd" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12918"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Self-hosted dev sandboxes with preview URLs. One command. No Kubernetes, perfect for coding agents and Saas factories.

The open-source engine for AI app-builder products.
Give every user an isolated cloud dev environment, a built-in coding agent, and a live preview URL — self-hosted, on one machine, in one command.]]>
            </summary>
            <updated>2026-06-08T05:20:48+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12914</id>
            <title type="text"><![CDATA[kubectl-ai]]></title>
            <link rel="alternate" href="https://github.com/googlecloudplatform/kubectl-ai" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12914"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[AI powered Kubernetes Assistant.

kubectl-ai acts as an intelligent interface, translating user intent into precise Kubernetes operations, making Kubernetes management more accessible and efficient.]]>
            </summary>
            <updated>2026-06-04T06:59:46+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12910</id>
            <title type="text"><![CDATA[oMLX]]></title>
            <link rel="alternate" href="https://omlx.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12910"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[LLM inference, optimized for your Mac.
Local AI, no more waiting on your Mac.

 LLM inference server with continuous batching &amp;amp; SSD caching for Apple Silicon — managed from the macOS menu bar.

macOS-native MLX server with smart caching. Claude Code, OpenClaw, and Cursor respond in 5 seconds, not 90. 

- [oMLX  @ GitHub](https://github.com/jundot/omlx).

Related contents:

- [\#133 - News Juin 2026, Bun passe à Rust, npm verrouille les scripts et SEO pour l&amp;#039;IA @ Double Slash :fr:](https://double-slash.dev/podcasts/news-jun26/)]]>
            </summary>
            <updated>2026-06-04T05:51:22+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12908</id>
            <title type="text"><![CDATA[Kimi WebBridge]]></title>
            <link rel="alternate" href="https://www.kimi.com/features/webbridge" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12908"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A browser extension for AI agents. It clicks, fills, navigates, and extracts. Tedious work, on autopilot.

Related contents:

- [\#133 - News Juin 2026, Bun passe à Rust, npm verrouille les scripts et SEO pour l&amp;#039;IA @ Double Slash :fr:](https://double-slash.dev/podcasts/news-jun26/)]]>
            </summary>
            <updated>2026-06-04T05:47:36+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12906</id>
            <title type="text"><![CDATA[Which AI?]]></title>
            <link rel="alternate" href="https://guess-the-designer.replit.app/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12906"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Guess the designer.

Related contents:

- [\#131: News Mai 2026, TypeScript 7 en beta, faux package TanStack et agent Cursor destructeur @ Double Slash :fr:](https://double-slash.dev/podcasts/news-mai26/).]]>
            </summary>
            <updated>2026-06-04T05:33:31+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12897</id>
            <title type="text"><![CDATA[Scira AI]]></title>
            <link rel="alternate" href="https://scira.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12897"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Research anything. Do anything.

Research at the speed of thought. The agentic research platform that plans, retrieves, and cites — so you can think faster.

 Scira (Formerly MiniPerplx) is a minimalistic AI-powered search engine that helps you find information on the internet and cites it too. Powered by Vercel AI SDK!]]>
            </summary>
            <updated>2026-06-02T07:34:21+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12895</id>
            <title type="text"><![CDATA[Pullfrog]]></title>
            <link rel="alternate" href="https://pullfrog.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12895"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open-source model-agnostic BYOK GitHub bot that runs in GitHub Actions.

Pullfrog is a GitHub bot that brings the full power of your favorite coding agents into GitHub. It&amp;#039;s open source and powered by GitHub Actions.

- [Pullfrog @ GitHub](https://github.com/pullfrog/pullfrog).]]>
            </summary>
            <updated>2026-06-02T06:44:33+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12894</id>
            <title type="text"><![CDATA[KeyLedger]]></title>
            <link rel="alternate" href="https://links.biapy.com/bookmarklet/show" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12894"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Unified TUI for inventory, health-check, and track every API key issued across your AI providers. 

A unified view of every API key across all your AI providers — with health scoring, snapshot diffs, and encrypted credential storage.

KeyLedger is an interactive terminal dashboard that gives you a unified view of every API key issued across your AI providers — with health scoring, snapshot diffs, and encrypted credential storage.]]>
            </summary>
            <updated>2026-06-02T06:42:46+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12892</id>
            <title type="text"><![CDATA[Murr]]></title>
            <link rel="alternate" href="https://github.com/murrdb/murr" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12892"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Sub-millisecond cache for ML/AI workloads. Parquets in, Arrow-Flight out. 

Murr is a caching layer for ML/AI data serving that sits between your batch data pipelines and inference apps.

A RocksDB-based NVMe/S3 cache for AI inference workloads. A faster Redis replacement, optimized for batch low-latency zero-copy reads and writes.]]>
            </summary>
            <updated>2026-06-02T06:37:41+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12884</id>
            <title type="text"><![CDATA[PMB · Personal Memory Brain]]></title>
            <link rel="alternate" href="https://github.com/oleksiijko/pmb" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12884"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Local-first persistent memory for AI coding agents (Claude Code, Cursor, Codex) via MCP. 94.5% LoCoMo recall@10, 70ms p50, multilingual, zero API keys.

Related contents:

- [How I built local-first memory for Claude Code, Cursor, and Codex - [94.5% LoCoMo recall@10, 70ms p50 @ HackerNoon](https://hackernoon.com/how-i-built-local-first-memory-for-claude-code-cursor-and-codex-945percent-locomo-recall10-70ms-p50).]]>
            </summary>
            <updated>2026-06-02T05:40:30+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12882</id>
            <title type="text"><![CDATA[Mnemosyne]]></title>
            <link rel="alternate" href="https://mnemosyne.site/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12882"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Native AI Memory for Hermes Agent. Zero-Dependency, Sub-Millisecond.

Mnemosyne is a universal, Hermes-first memory layer that works with any agent framework (Claude Code, Cursor, Codex, OpenWebUI, OpenClaw, or your own custom agent). One pip install, one SQLite database. No external services required.

- [Mnemosyne @ GitHub](https://github.com/AxDSan/mnemosyne).

Related contents:

- [Episode 669: Harshing rsync&amp;#039;s Vibe @ Linux Unplugged](https://linuxunplugged.com/669).]]>
            </summary>
            <updated>2026-06-02T05:19:31+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12881</id>
            <title type="text"><![CDATA[MDF (Markdown First)]]></title>
            <link rel="alternate" href="https://github.com/bitcryptic-gw/mdf" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12881"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[MDF (Markdown First) — open web architecture proposal for native markdown serving, agent-readable content, and price-as-access-policy.

A proposal for a web content architecture where markdown is the source of truth, agents are first-class citizens, and access policy is expressed through price.

Related contents:

- [MDF — Markdown First: A Proposal for the Agent-Readable Web @ Bitcryptic](https://blog.bitcryptic.com/blog/mdf-markdown-first).]]>
            </summary>
            <updated>2026-06-02T05:16:51+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12871</id>
            <title type="text"><![CDATA[hunk]]></title>
            <link rel="alternate" href="https://github.com/modem-dev/hunk" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12871"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Review-first terminal diff viewer for agentic coders]]>
            </summary>
            <updated>2026-06-01T15:01:21+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12870</id>
            <title type="text"><![CDATA[Terax]]></title>
            <link rel="alternate" href="https://terax.app/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12870"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Terminal-first AI-native dev workspace.

Terax is a lightweight open-source terminal (ADE) built on Tauri 2 + Rust and React 19. A native PTY backend with a WebGL renderer, an agentic AI side-panel that runs against your own keys or fully local models, plus a code editor, file explorer, source control with a git graph, and a web preview pane built in. About 7-8 MB on disk. No telemetry. No account.

- [Terax @ GitHub](https://github.com/crynta/terax-ai).]]>
            </summary>
            <updated>2026-06-01T15:00:00+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12869</id>
            <title type="text"><![CDATA[How carefully do you read AI commands?]]></title>
            <link rel="alternate" href="https://llmgame.scalex.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12869"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Claude Code is finishing up your refactor.
It needs your approval for a few commands. Can you finish in time?
Your eyes are already glazing over. Can you stay sharp?]]>
            </summary>
            <updated>2026-06-01T12:38:41+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12868</id>
            <title type="text"><![CDATA[ktx]]></title>
            <link rel="alternate" href="https://docs.kaelio.com/ktx/docs/getting-started/introduction" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12868"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Make analytics context usable by agents

ktx is an open-source context layer for data agents. It turns warehouse metadata, BI tool definitions, query history, docs, and approved metric definitions into reviewable files agents can search and execute.

 ktx is an executable context layer for data and analytics agents 🐙 Allow Claude Code, Codex, and any AI agent to query data accurately through MCP with skills, memory and a semantic layer 

- [ktx @ GitHub](https://github.com/Kaelio/ktx-ai-data-agents-context).]]>
            </summary>
            <updated>2026-06-01T12:35:46+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12867</id>
            <title type="text"><![CDATA[Crawl4AI]]></title>
            <link rel="alternate" href="https://docs.crawl4ai.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12867"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[pen-source LLM Friendly Web Crawler &amp;amp; Scraper.

Crawl4AI turns the web into clean, LLM ready Markdown for RAG, agents, and data pipelines. Fast, controllable, battle tested by a 50k+ star community.

- [Crawl4AI @ GitHub](https://github.com/unclecode/crawl4ai).]]>
            </summary>
            <updated>2026-06-01T12:31:19+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12866</id>
            <title type="text"><![CDATA[Supermemory]]></title>
            <link rel="alternate" href="https://supermemory.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12866"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The context cloud for agents.
 Memory engine and app that is extremely fast, scalable. The Memory API for the AI era. 

Supermemory gives your agents state-of-the-art memory, RAG, user profiles, connectors, and extractors, all built in. Extremely low latency. Works with any model. 

- [Supermemory @ GitHub](https://github.com/supermemoryai/supermemory).]]>
            </summary>
            <updated>2026-06-01T12:03:53+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12858</id>
            <title type="text"><![CDATA[microsandbox]]></title>
            <link rel="alternate" href="https://microsandbox.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12858"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Every agent deserves its own machine.

Run agents in secure, local-first sandboxes. On your laptop, in your VPC, on-prem, or in our cloud. Programmable, fast, and yours.

microsandbox takes a different approach: every sandbox is a real VM with its own Linux kernel. It provides security primitives for preventing exploits like secret exfiltration. And it runs locally on your machine.

- [microsandbox documentation](https://docs.microsandbox.dev/getting-started/introduction).
- [microsandbox @ GitHub](https://github.com/superradcompany/microsandbox).

Related contents:

- [Your Container Is Not a Sandbox @ Emir Beganović](https://emirb.github.io/blog/microvm-2026/).]]>
            </summary>
            <updated>2026-05-28T09:39:54+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12851</id>
            <title type="text"><![CDATA[Webwright]]></title>
            <link rel="alternate" href="https://microsoft.github.io/Webwright/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12851"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Terminal-Native Web Agents.
A simple SWE style browser agent framework that achieves SOTA results on long horizon web tasks. 

 Webwright gives the model a terminal, a local workspace, and the freedom to write code that launches, inspects, and discards browser sessions. The output is not just a completed task, but a reusable program. 

- [Webwright @ GitHub](https://github.com/microsoft/Webwright).]]>
            </summary>
            <updated>2026-05-26T11:52:54+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12849</id>
            <title type="text"><![CDATA[Claw Patrol]]></title>
            <link rel="alternate" href="https://clawpatrol.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12849"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The security firewall for agents.

Give agents prod access and still sleep easy

Claw Patrol holds agent credentials, parses their traffic at the wire, and gates actions they take with rules you write, all while keeping an audit log of every action.

- [Claw Patrol @ GitHub](https://github.com/denoland/clawpatrol).]]>
            </summary>
            <updated>2026-05-25T11:52:59+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12832</id>
            <title type="text"><![CDATA[designmd.sh]]></title>
            <link rel="alternate" href="https://designmd.sh/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12832"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Public DESIGN.md registry.
THE PUBLIC REGISTRY FOR DESIGN AGENTS

DESIGN.md files that coding and design agents read to generate consistent UI.]]>
            </summary>
            <updated>2026-05-25T06:20:06+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12830</id>
            <title type="text"><![CDATA[Coral]]></title>
            <link rel="alternate" href="https://withcoral.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12830"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Your agent&amp;#039;s query language.
One SQL interface over APIs, files, and live sources — built for agents. 

Coral gives agents a local-first SQL runtime over APIs, files, and other data sources. Query it from the CLI, inspect schemas and tables, or expose the same runtime over MCP so agents can use it without bespoke tool glue.

- [Coral @ GitHub](https://github.com/withcoral/coral).]]>
            </summary>
            <updated>2026-05-25T06:18:16+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12827</id>
            <title type="text"><![CDATA[image-blaster]]></title>
            <link rel="alternate" href="https://github.com/neilsonnn/image-blaster" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12827"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[An image-to-world skillset for Claude. 

Creates 3D environments, SFX, and meshes from a single image using Claude skills, World Labs, and FAL.

Can take you from an image to a fully meshed 3D environment in &amp;lt; 5 minutes, great for jumpstarting 3D work. Go full blast.]]>
            </summary>
            <updated>2026-05-25T06:15:03+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12824</id>
            <title type="text"><![CDATA[Peekaboo]]></title>
            <link rel="alternate" href="https://peekaboo.sh/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12824"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Peekaboo is a macOS CLI &amp;amp; optional MCP server that enables AI agents to capture screenshots of applications, or the entire system, with optional visual question answering through local or remote AI models. 

Peekaboo is a macOS automation toolkit for humans and agents. It captures pixels, reads the accessibility tree, drives input, and ships an agent runtime plus an MCP server so AI clients (Codex, Claude Code, Cursor) can drive the desktop with the same primitives you&amp;#039;d use from the shell.

- [Peekaboo @ GitHub](https://github.com/openclaw/Peekaboo).]]>
            </summary>
            <updated>2026-05-25T06:09:50+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12822</id>
            <title type="text"><![CDATA[openHare]]></title>
            <link rel="alternate" href="https://sjjian.github.io/openhare/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12822"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[AI-powered desktop SQL client. Cross-platform. Built with Flutter. 

openhare is an AI-powered, cross-platform desktop SQL client with multi-database support, built for everyday development, data analysis, and DBA management workflows.

- [openHare @ GitHub](https://github.com/sjjian/openhare).

Related contents:

- [\#133 - News Juin 2026, Bun passe à Rust, npm verrouille les scripts et SEO pour l&amp;#039;IA @ Double Slash :fr:](https://double-slash.dev/podcasts/news-jun26/)]]>
            </summary>
            <updated>2026-06-04T05:51:42+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12818</id>
            <title type="text"><![CDATA[Swamp]]></title>
            <link rel="alternate" href="https://github.com/systeminit/swamp" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12818"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[AI Native Automation, built for agents - Welcome to Swamp.
 Stinemates, Watson, Adam, Mahir, Paul .

Swamp is a CLI that supercharges AI agents to create operational workflows that are reviewable, shareable, and accurate. Built for agents, there to empower humans. All the data lives in the .swamp/ (the swamp).]]>
            </summary>
            <updated>2026-05-22T16:16:31+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12804</id>
            <title type="text"><![CDATA[DockSec]]></title>
            <link rel="alternate" href="https://github.com/OWASP/DockSec" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12804"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[AI-Powered Docker Security Analyzer.

AI-powered Docker security scanner that explains vulnerabilities in plain English]]>
            </summary>
            <updated>2026-05-21T11:59:54+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12798</id>
            <title type="text"><![CDATA[Remove-AI-Watermarks]]></title>
            <link rel="alternate" href="https://github.com/wiltodelta/remove-ai-watermarks" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12798"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[CLI and library for removing visible (Gemini) and invisible (SynthID, C2PA, EXIF) AI watermarks from images.

Remove visible and invisible AI watermarks from images generated by Google Gemini (Nano Banana), ChatGPT / DALL-E, Stable Diffusion, Adobe Firefly, Midjourney, and other AI models.

Strips SynthID, C2PA Content Credentials, EXIF/XMP &amp;quot;Made with AI&amp;quot; labels, and visible sparkle overlays — all in one command.]]>
            </summary>
            <updated>2026-05-20T12:55:37+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12795</id>
            <title type="text"><![CDATA[Lemonade]]></title>
            <link rel="alternate" href="https://lemonade-server.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12795"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Refreshingly simple local chat.
 Local AI for Text, Images, and Speech

The omni-modal alternative to cloud AI. Automatically optimized for your GPU and NPU. Open source, community driven, and private.

- [Lemonade @ GitHub](https://github.com/lemonade-sdk/lemonade).

Related contents:

- [Lemonade - L&amp;#039;IA locale sur NPU AMD, GPU et Mac @ Korben :fr:](https://korben.info/lemonade-sdk-serveur-llm-local-npu-amd.html).]]>
            </summary>
            <updated>2026-05-20T09:41:33+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12793</id>
            <title type="text"><![CDATA[browse.sh]]></title>
            <link rel="alternate" href="https://browse.sh/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12793"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A browser CLI for your AI Agents

One CLI for skills, browser primitives, debugging, and cloud sessions, designed to be driven by AI Agents.

Give AI Agents the skills to automate websites from the open web catalog. Suggested DOM selectors and XHR requests cut token costs by 50x.]]>
            </summary>
            <updated>2026-05-19T14:30:58+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12789</id>
            <title type="text"><![CDATA[CodeGraph]]></title>
            <link rel="alternate" href="https://github.com/colbymchenry/codegraph" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12789"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Supercharge Claude Code, Cursor, Codex, and OpenCode with Semantic Code Intelligence.

 Pre-indexed code knowledge graph for Claude Code, Codex, Cursor, and OpenCode — fewer tokens, fewer tool calls, 100% local]]>
            </summary>
            <updated>2026-05-18T11:58:36+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12786</id>
            <title type="text"><![CDATA[Zero]]></title>
            <link rel="alternate" href="https://zerolang.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12786"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The programming language
for agents

Zero is a systems language designed so humans and AI agents can read, repair, inspect, and ship small native programs together. It keeps effects explicit, memory predictable, and compiler output structured.

- [Zero @ GitHub](https://github.com/vercel-labs/zero).]]>
            </summary>
            <updated>2026-05-18T11:53:54+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12782</id>
            <title type="text"><![CDATA[Workshop]]></title>
            <link rel="alternate" href="https://www.raindrop.ai/workshop/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12782"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Debug your AI agent locally.

 Give your coding agent the power to write and run agent evals. 
The local debugger your agent is missing. Watch your agent think locally, the moment it happens: every token, every tool call, every decision.

Give Claude Code the power to read your traces, write evals against your codebase, and fix what&amp;#039;s broken.

- [Workshop @ GitHub](https://github.com/raindrop-ai/workshop).]]>
            </summary>
            <updated>2026-05-17T07:20:43+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12781</id>
            <title type="text"><![CDATA[bishalOps/tfrev:]]></title>
            <link rel="alternate" href="https://github.com/bishalOps/tfrev" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12781"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Review large Terraform diff to detect any issue.
AI-Powered Terraform Plan Reviewer.

Verify your Terraform plan matches your code intent before apply.

tfrev uses Claude AI to review your terraform plan output against your code changes, catching mismatches, security risks, and unexpected side effects before they hit production. Works with any Terraform provider — AWS, Azure, GCP, Kubernetes, and more.]]>
            </summary>
            <updated>2026-05-17T07:19:45+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12779</id>
            <title type="text"><![CDATA[RedAI]]></title>
            <link rel="alternate" href="https://github.com/kpolley/redai" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12779"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[AI-driven vulnerability discovery and live validation.

A terminal workbench for AI-driven vulnerability discovery and live validation.]]>
            </summary>
            <updated>2026-05-15T15:26:02+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12773</id>
            <title type="text"><![CDATA[LLPhant]]></title>
            <link rel="alternate" href="https://github.com/LLPhant/LLPhant" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12773"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A comprehensive PHP Generative AI Framework using OpenAI GPT 4. Inspired by Langchain.

Related contents:

- [LLPhant: A PHP Generative AI Framework Inspired by LangChain @ Laravel News](https://laravel-news.com/llphant-a-php-generative-ai-framework-inspired-by-langchain).]]>
            </summary>
            <updated>2026-05-15T14:59:50+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12764</id>
            <title type="text"><![CDATA[pgEdge AI DBA Workbench]]></title>
            <link rel="alternate" href="https://docs.pgedge.com/ai-dba-workbench/v1-0-0-beta1/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12764"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[An AI-powered environment for monitoring, managing, and troubleshooting PostgreSQL systems.

- [pgEdge AI DBA Workbench @ GitHub](https://github.com/pgEdge/ai-dba-workbench).]]>
            </summary>
            <updated>2026-05-15T13:22:19+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12759</id>
            <title type="text"><![CDATA[OpenFlowKit]]></title>
            <link rel="alternate" href="https://openflowkit.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12759"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Free Local-First AI Diagramming for Builders.

 100% Free, Open-source local-first AI diagramming for architecture diagrams and flowcharts with animated exports. 

Create flows from templates, code, structured imports, or AI. Refine them visually, keep them local-first, and export — including as a cinematic animated video that no other open-source tool offers.

- [OpenFlowKit @ GitHub](https://github.com/Vrun-design/openflowkit).]]>
            </summary>
            <updated>2026-05-15T10:48:10+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12727</id>
            <title type="text"><![CDATA[CodeBurn]]></title>
            <link rel="alternate" href="https://codeburn.app/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12727"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[See Where Your AI Coding Tokens Go!
Interactive TUI dashboard for Claude Code, Codex, and Cursor cost observability. 

Track usage, cost, and performance across 18 AI coding tools. Break down spending by model, project, and provider.

- [CodeBurn @ GitHub](https://github.com/getagentseal/codeburn).]]>
            </summary>
            <updated>2026-05-14T21:09:15+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12725</id>
            <title type="text"><![CDATA[Regent]]></title>
            <link rel="alternate" href="https://www.re-gent.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12725"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Version Control for AI agent activity.
Track what your agent did, which prompt wrote each line, and inspect any step. 

Undo, blame, checkout, and replay AI coding sessions locally. Regent captures every agent action so you stay in control.

- [Regent @ GitHub](https://github.com/regent-vcs/re_gent).]]>
            </summary>
            <updated>2026-05-14T21:05:41+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12723</id>
            <title type="text"><![CDATA[Statewright]]></title>
            <link rel="alternate" href="https://statewright.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12723"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Visual Workflow Builder for AI Coding Agents.
 State machine guardrails for AI agents.

State machine guardrails that control which tools your AI agent can use in each phase. Define a workflow once, enforce it across Claude Code, Codex, Cursor, opencode, and Pi. 

- [Statewright @ GitHub](https://github.com/statewright/statewright).]]>
            </summary>
            <updated>2026-05-14T19:52:06+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12722</id>
            <title type="text"><![CDATA[e2a]]></title>
            <link rel="alternate" href="https://e2a.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12722"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Authenticated Email for AI Agents.
Give your agent an email address. In under two minutes.

Anyone can send an email, so your agent should have one. No mail server. No public URL. Free.

 Authenticated email gateway for AI agents — SPF/DKIM verified inbound, HMAC-signed delivery, webhook + WebSocket fan-out, CLI + SDKs 

- [e2a  @ GitHub](https://github.com/Mnexa-AI/e2a).]]>
            </summary>
            <updated>2026-05-14T19:32:50+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12721</id>
            <title type="text"><![CDATA[Deepsec]]></title>
            <link rel="alternate" href="https://github.com/vercel-labs/deepsec/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12721"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Deepsec is a security harness for finding vulnerabilities in your codebase powered by coding agents.

deepsec an agent-powered vulnerability scanner that you can run in your own infrastructure, optimized to perform on-demand review of all code in existing large-scale repos.

Related contents:

- [Introducing deepsec: The security harness for finding vulnerabilities in your codebase @ Vercel](https://vercel.com/blog/introducing-deepsec-find-and-fix-vulnerabilities-in-your-code-base).
- [Vercel’s deepsec Brings AI-Powered Security Scanning Into the Development Workflow @ devops.com](https://devops.com/vercels-deepsec-brings-ai-powered-security-scanning-into-the-development-workflow/).]]>
            </summary>
            <updated>2026-05-15T08:00:06+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12720</id>
            <title type="text"><![CDATA[OpenGravity]]></title>
            <link rel="alternate" href="https://opengravity.pages.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12720"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A lightweight, vanilla JS, open source BYOK (Bring Your Own Key) clone of the Google Antigravity UI. It currently features a live xterm.js terminal with direct local file system sync and a sidebar agent capable of running commands and editing files. Built in pure HTML/CSS/JS for maximum speed and zero installation. 

- [OpenGravity @ GitHub](https://github.com/ab-613/opengravity).]]>
            </summary>
            <updated>2026-05-14T19:29:25+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12713</id>
            <title type="text"><![CDATA[OpenWarp]]></title>
            <link rel="alternate" href="https://openwarp.zerx.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12713"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Bring any AI model into your terminal.

A fully decentralized fork of Warp. Six native AI protocols, third-party CLI agents as first-class Blocks, a built-in SSH + tmux host manager. Every credential, conversation and key stays on your machine.

- [OpenWarp @ GitHub](https://github.com/zerx-lab/warp).]]>
            </summary>
            <updated>2026-05-14T14:56:45+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12708</id>
            <title type="text"><![CDATA[open-slide]]></title>
            <link rel="alternate" href="https://open-slide.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12708"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The slide framework built for agents.

A React-first slide framework authored by AI agents. Every page is arbitrary code on a 1920×1080 canvas— versioned, reviewable, yours.

- [open-slide @ GitHub](https://github.com/1weiho/open-slide).]]>
            </summary>
            <updated>2026-05-14T14:49:45+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12707</id>
            <title type="text"><![CDATA[Mirage]]></title>
            <link rel="alternate" href="https://www.strukto.ai/mirage" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12707"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A Unified Virtual Filesystem Workspace  for AI Agents.

A virtualization layer where AI agents reach every backend through one filesystem and bash.

- [Mirage @ GitHub](https://github.com/strukto-ai/mirage).]]>
            </summary>
            <updated>2026-05-14T14:38:39+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12706</id>
            <title type="text"><![CDATA[ImageWhisperer]]></title>
            <link rel="alternate" href="https://imagewhisperer.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12706"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[AI Image Detector for Journalists &amp;amp; Researchers.]]>
            </summary>
            <updated>2026-05-14T14:20:13+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12696</id>
            <title type="text"><![CDATA[Understand Anything]]></title>
            <link rel="alternate" href="https://understand-anything.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12696"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Other tools show you a hairball. We teach you the codebase. 
Graphs that teach the codebase.

 Graphs that teach &amp;gt; graphs that impress. Turn any code, or knowledge base (Karpathy LLM wiki), into an interactive knowledge graph you can explore, search, and ask questions about. Works with Claude Code, Codex, Cursor, Copilot, Gemini CLI, and more. 

- [Understand Anything  @ GitHub](https://github.com/Lum1104/Understand-Anything).]]>
            </summary>
            <updated>2026-05-14T09:51:37+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12695</id>
            <title type="text"><![CDATA[Open Design]]></title>
            <link rel="alternate" href="https://open-design.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12695"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Design with the agent already on your laptop.

 🎨 Local-first, open-source alternative to Anthropic&amp;#039;s Claude Design. ⚡ 19 Skills · ✨ 71 brand-grade Design Systems 🖼 Generate web · desktop · mobile prototypes · slides · images · videos · HyperFrames 📦 Sandboxed preview · HTML/PDF/PPTX/MP4 export 🤖 Runs on Claude Code / Codex / Cursor / Gemini / OpenCode / Qwen / Copilot / Hermes / Kimi CLI. 

- [Open Design @ GitHub](https://github.com/nexu-io/open-design).

Related contents:

- [\#131: News Mai 2026, TypeScript 7 en beta, faux package TanStack et agent Cursor destructeur @ Double Slash :fr:](https://double-slash.dev/podcasts/news-mai26/).]]>
            </summary>
            <updated>2026-06-04T05:34:01+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12693</id>
            <title type="text"><![CDATA[acai.sh]]></title>
            <link rel="alternate" href="https://acai.sh/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12693"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A toolkit for spec-driven software development. Stop writing prompts, start writing specs. Ship better quality software and minimize slop.

- [Acai Server @ GitHub](https://github.com/acai-sh/server).
- [Acai.sh @ GitHub](https://github.com/acai-sh/cli).]]>
            </summary>
            <updated>2026-05-14T09:35:37+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12691</id>
            <title type="text"><![CDATA[NeatMail]]></title>
            <link rel="alternate" href="https://www.neatmail.app/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12691"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Get to inbox zero faster.
 Stop managing email. Let your inbox manage itself.

NeatMail organizes priority emails and drafts replies in Gmail and Outlook, so you can clear your inbox in less time.

- [NeatMail @ GitHub](https://github.com/Lakshay1509/NeatMail).

Related contents:

- [NeatMail - L&amp;#039;assistant IA open source pour Gmail/Outlook @ Korben :fr:](https://korben.info/neatmail-tri-emails-ia-open-source.html).]]>
            </summary>
            <updated>2026-05-14T09:17:57+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12673</id>
            <title type="text"><![CDATA[Maket]]></title>
            <link rel="alternate" href="https://ng-galien.github.io/maket/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12673"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A visual design tool for your AI assistant.

Turn your AI assistant into a visual designer. Describe what you want — a poster, a flyer, a product label, a social post — and the AI assistant composes it as an HTML/CSS document with precise typography, brand chartes, and your image library. A live preview updates in real time. Export to PDF or hand it off to Gmail as a draft when you&amp;#039;re done.

- [Maket @ GitHub](https://github.com/ng-galien/maket).]]>
            </summary>
            <updated>2026-05-14T07:55:17+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12672</id>
            <title type="text"><![CDATA[How LLMs Work — A Visual Deep Dive]]></title>
            <link rel="alternate" href="https://ynarwal.github.io/how-llms-work/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12672"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A complete walkthrough of how large language models like ChatGPT are built — from raw internet text to a conversational assistant. Based on Andrej Karpathy&amp;#039;s technical deep dive.

- [How LLMs Actually Work @ GitHub](http://github.com/ynarwal/how-llms-work).]]>
            </summary>
            <updated>2026-05-14T07:52:46+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12654</id>
            <title type="text"><![CDATA[Pike Agent]]></title>
            <link rel="alternate" href="https://github.com/synacktiv/pike-agent" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12654"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Experimental Linux strace LLM agent.

pike-agent records and analyzes how programs behave on Linux. It traces a program&amp;#039;s activity, indexes it into a database, and lets you chat with an LLM agent about it in a TUI.

Related contents:

- [Dites bonjour à Pike! @ Synacktiv :fr:](https://www.synacktiv.com/publications/dites-bonjour-a-pike).]]>
            </summary>
            <updated>2026-04-30T11:18:14+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12643</id>
            <title type="text"><![CDATA[DockSec]]></title>
            <link rel="alternate" href="https://github.com/docksec-security/DockSec" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12643"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[AI-Powered Docker Security Analyzer.
AI-powered Docker security scanner that explains vulnerabilities in plain English.

DockSec is an OWASP Incubator Project that combines traditional Docker security scanners (Trivy, Hadolint, Docker Scout) with AI to provide context-aware security analysis.

Related contents:

- [Dockerfile Practices are a DevOps Tax Before They are a Security Concern @ Cloud Native Now](https://cloudnativenow.com/contributed-content/dockerfile-practices-are-a-devops-tax-before-they-are-a-security-concern/).
- [\#67 - Newsletter du 27 Avril 2026 @ RudeOps :fr:](https://www.rudeops.com/newsletters/2026-04-27).]]>
            </summary>
            <updated>2026-04-29T06:20:46+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12630</id>
            <title type="text"><![CDATA[E2B]]></title>
            <link rel="alternate" href="https://e2b.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12630"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The Enterprise AI Agent Cloud. 

AI Sandboxes for Open-source, secure environment with real-world tools for enterprise-grade agents.
 
- [E2B @ GitHub](https://github.com/e2b-dev/E2B).

Related contents:

- [What every dev should know about AI sandboxes @ Engineer&amp;#039;s Codex](https://read.engineerscodex.com/p/every-dev-should-know-about-ai-sandboxes).
- [Your Container Is Not a Sandbox @ Emir Beganović](https://emirb.github.io/blog/microvm-2026/).]]>
            </summary>
            <updated>2026-05-28T09:37:47+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12620</id>
            <title type="text"><![CDATA[CrabTrap]]></title>
            <link rel="alternate" href="https://www.brex.com/crabtrap" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12620"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[An LLM-as-a-judge HTTP proxy to secure agents in production .

Deploy agents. Safely.
CrabTrap is an LLM-as-a-judge HTTP proxy to secure agents in production. It intercepts every request your AI agent makes, evaluates it against a policy, and allows or blocks it in real time.

- [CrabTrap @ GitHub](https://github.com/brexhq/CrabTrap).]]>
            </summary>
            <updated>2026-04-24T13:42:49+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12616</id>
            <title type="text"><![CDATA[Open CoDesign]]></title>
            <link rel="alternate" href="https://opencoworkai.github.io/open-codesign/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12616"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open CoDesignDesign with intent.
 Open-Source AI Design Tool — BYOK, Local-First.

An open-source desktop AI design tool. Bring your own model, keep everything local — a self-hosted alternative to Claude Design, built for teams who can&amp;#039;t afford subscription lock-in.

Open-source Claude Design alternative. One-click import your Claude Code / Codex API key. Prompt → prototype / slides / PDF. Multi-model (Claude, GPT, Gemini, Kimi, GLM, Ollama). BYOK, local-first, MIT. 

- [Open CoDesign @ GitHub](https://github.com/OpenCoworkAI/open-codesign).]]>
            </summary>
            <updated>2026-04-24T13:31:18+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12615</id>
            <title type="text"><![CDATA[OpenSRE]]></title>
            <link rel="alternate" href="https://www.opensre.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12615"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Agentic Alert Investigation for Production Pipelines.

Automated root cause analysis before your team gets paged.  Build your own AI SRE agents. The open source toolkit for the AI era ✨ 

The open-source framework for AI SRE agents, and the training and evaluation environment they need to improve. Connect the 60+ tools you already run, define your own workflows, and investigate incidents on your own infrastructure.

- [OpenSRE @ GitHub](https://github.com/Tracer-Cloud/opensre).]]>
            </summary>
            <updated>2026-04-24T12:00:57+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12611</id>
            <title type="text"><![CDATA[HasAIbeenPwned]]></title>
            <link rel="alternate" href="https://hasaibeenpwned.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12611"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[AI Model Security Database.

Track jailbreaks, prompt injections, and security incidents across all major AI models. The question is not if - it&amp;#039;s when.]]>
            </summary>
            <updated>2026-04-23T13:56:19+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12600</id>
            <title type="text"><![CDATA[RAG-Anything]]></title>
            <link rel="alternate" href="https://github.com/HKUDS/RAG-Anything" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12600"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[All-in-One RAG Framework.

RAG-Anything eliminates the need for multiple specialized tools. It provides seamless processing and querying across all content modalities within a single integrated framework. Unlike conventional RAG approaches that struggle with non-textual elements, our all-in-one system delivers comprehensive multimodal retrieval capabilities.

Users can query documents containing interleaved text, visual diagrams, structured tables, and mathematical formulations through one cohesive interface. This consolidated approach makes RAG-Anything particularly valuable for academic research, technical documentation, financial reports, and enterprise knowledge management where rich, mixed-content documents demand a unified processing framework.]]>
            </summary>
            <updated>2026-04-22T12:48:59+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12597</id>
            <title type="text"><![CDATA[GoModel]]></title>
            <link rel="alternate" href="https://gomodel.enterpilot.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12597"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open-Source AI Gateway with Workflows, Aliases, and Usage Tracking.
AI Gateway for Tracking, Decoupling, Debugging your AI Usage.

 High-performance AI gateway written in Go - unified OpenAI-compatible API for OpenAI, Anthropic, Gemini, Groq, xAI &amp;amp; Ollama. LiteLLM alternative with observability, guardrails &amp;amp; streaming. 

- [GoModel @ GitHub](https://github.com/ENTERPILOT/GOModel/).]]>
            </summary>
            <updated>2026-04-22T11:30:15+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12596</id>
            <title type="text"><![CDATA[zindex]]></title>
            <link rel="alternate" href="https://zindex.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12596"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[diagram infrastructure for agents.

Agents create, edit, validate, and render diagrams as durable state - not throwaway output. Structured operations, immutable revisions, 40+ validation rules, and multiple render targets through the Diagram Scene Protocol (DSP).]]>
            </summary>
            <updated>2026-04-22T11:29:04+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12593</id>
            <title type="text"><![CDATA[GAIA SDK]]></title>
            <link rel="alternate" href="https://amd-gaia.ai/docs" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12593"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[GAIA Logo GAIA: AI Agent Framework for AMD Ryzen AI.

GAIA is AMD&amp;#039;s open-source framework for building intelligent AI agents that run 100% locally on AMD Ryzen AI hardware. Keep your data private, eliminate cloud costs, and deploy in air-gapped environments—all with hardware-accelerated performance.

- [GAIA @ GitHub](https://github.com/amd/gaia).

Related contents:

- [AMD&amp;#039;s GAIA Makes It Easier To Import/Export Custom AI Agents Across PCs @ phoronix](https://www.phoronix.com/news/AMD-GAIA-Import-Export-Agent).
- [AMD GAIA 0.17.3 sait maintenant empaqueter vos agents IA dans un installeur custom @ Korben :fr:](https://korben.info/amd-gaia-0-17-3-sait-maintenant-empaqueter-vos-agents-ia-dans-un-installeur-custom.html).]]>
            </summary>
            <updated>2026-04-21T13:25:36+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12583</id>
            <title type="text"><![CDATA[EvoMap]]></title>
            <link rel="alternate" href="https://evomap.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12583"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[AI Self-Evolution Infrastructure. One agent learns. A million inherit.
The GEP-Powered Self-Evolution Engine for AI Agents. Genome Evolution Protocol.

Carbon and silicon, intertwined like a double helix -- agents share evolved capabilities through open protocol, humans provide the intuition that no algorithm can replicate.

- [EvoMap Evolver @ GitHub](https://github.com/EvoMap/evolver).]]>
            </summary>
            <updated>2026-04-20T11:53:25+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12581</id>
            <title type="text"><![CDATA[Thunderbolt]]></title>
            <link rel="alternate" href="https://www.thunderbolt.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12581"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[AI You Control.
The Open-Source, Cross-Platform, Extensible AI Client.
Choose your models. Own your data. Eliminate vendor lock-in. 

- [Thunderbolt @ GitHub](https://github.com/thunderbird/thunderbolt).

Related contents:

- [Mozilla Introduces Thunderbolt: An Enterprise AI Client Built for Control and Independence @ Thunderbolt](https://www.thunderbolt.io/announcing-thunderbolt).
- [Mozilla throws Thunderbolt at enterprise AI providers @ The Register](https://www.theregister.com/2026/04/16/mozilla_thunderbolt_enterprise_ai_client/).
- [Mozilla lance Thunderbolt, un client IA open source pensé pour l&amp;#039;entreprise @ Korben :fr:](https://korben.info/mozilla-lance-thunderbolt-un-client-ia-open-source-pense-pour-lentreprise.html).]]>
            </summary>
            <updated>2026-04-20T09:52:56+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12576</id>
            <title type="text"><![CDATA[Architecture Diagram Generator]]></title>
            <link rel="alternate" href="https://github.com/Cocoon-AI/architecture-diagram-generator" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12576"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Generate beautiful dark-themed system architecture diagrams as standalone HTML/SVG files. Works as a Claude AI skill. 

Need an architecture diagram? Get AI to build you one.

Use Claude.ai with this special skill to generate professional architecture diagrams in seconds. Describe your system, and Claude creates a beautiful, dark-themed diagram as a standalone HTML file you can open in any browser.]]>
            </summary>
            <updated>2026-04-20T06:02:52+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12575</id>
            <title type="text"><![CDATA[Awesome DESIGN.md]]></title>
            <link rel="alternate" href="https://github.com/VoltAgent/awesome-design-md" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12575"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A collection of DESIGN.md files inspired by popular brand design systems. Drop one into your project and let coding agents generate a matching UI. 

Copy a DESIGN.md into your project, tell your AI agent &amp;quot;build me a page that looks like this&amp;quot; and get pixel-perfect UI that actually matches.]]>
            </summary>
            <updated>2026-04-20T05:57:24+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12566</id>
            <title type="text"><![CDATA[CodeBurn]]></title>
            <link rel="alternate" href="https://github.com/getagentseal/codeburn" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12566"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[See where your AI coding tokens go. Interactive TUI dashboard for Claude Code, Codex, and Cursor cost observability.]]>
            </summary>
            <updated>2026-04-20T05:03:32+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12555</id>
            <title type="text"><![CDATA[Dev Machine Guard]]></title>
            <link rel="alternate" href="https://github.com/step-security/dev-machine-guard" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12555"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Scan your dev machine for AI agents, MCP servers, IDE extensions, and suspicious packages - in seconds. 

Developer machines are the new attack surface. They hold high-value assets — GitHub tokens, cloud credentials, SSH keys — and routinely execute untrusted code through dependencies and AI-powered tools. Recent supply chain attacks have shown that malicious VS Code extensions can steal credentials, rogue MCP servers can access your codebase, and compromised npm packages can exfiltrate secrets.

Related contents:

- [\#72 - Microsoft et Adobe corrigent une vulnérabilité déjà exploitée @ Erreur 403 :fr:](https://newsletter.erreur403.fr/p/erreur-403-72-microsoft-et-adobe-corrigent-une-vuln-rabilit-d-j-exploit-e).]]>
            </summary>
            <updated>2026-04-16T11:40:14+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12544</id>
            <title type="text"><![CDATA[camofox-browser]]></title>
            <link rel="alternate" href="https://github.com/jo-inc/camofox-browser" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12544"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Headless browser automation server for AI agents to visit sites that are usually blocked.
Anti-detection browser server for AI agents, powered by Camoufox.

 Standing on the mighty shoulders of Camoufox - a Firefox fork with fingerprint spoofing at the C++ level.]]>
            </summary>
            <updated>2026-04-15T06:05:08+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12529</id>
            <title type="text"><![CDATA[Aidge]]></title>
            <link rel="alternate" href="https://eclipse.dev/aidge/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12529"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Aidge is an innovative, open-source framework designed to streamline and accelerate the deployment of Deep Neural Networks onto diverse hardware targets. In today’s rapidly evolving AI landscape, moving from a trained model to a high-performance, production-ready application can be a complex and time-consuming process.

- [Aidge @ Eclipe&amp;#039;s GitLab](https://gitlab.eclipse.org/eclipse/aidge/aidge).

Related contents:

- [AIDGE - Du deep learning sur vos microcontrôleurs @ Korben :fr:](https://korben.info/aidge-framework-ia-embarquee-cea-2.html).]]>
            </summary>
            <updated>2026-04-13T09:22:51+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12524</id>
            <title type="text"><![CDATA[PentAGI]]></title>
            <link rel="alternate" href="https://pentagi.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12524"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[PentAGI: Advanced AI-Powered Penetration Testing

Fully autonomous AI Agent that performs complicated penetration testing tasks using terminal, browser, editor, and external search system.

- [PentAGI @ GitHub](https://github.com/vxcontrol/pentagi).]]>
            </summary>
            <updated>2026-04-13T04:06:36+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12511</id>
            <title type="text"><![CDATA[GitVizz]]></title>
            <link rel="alternate" href="https://www.gitvizz.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12511"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Understand Any Codebase in Minutes, Not Hours

AI-powered repository analysis that turns complex codebases into interactive documentation, dependency graphs, and intelligent conversations.

- [GitVizz @ GitHub](https://github.com/adithya-s-k/GitVizz).

Related contents:

- [Veille #51 — L&amp;#039;actu de la semaine @ Camille Roux :fr:](https://www.camilleroux.com/veille-51-lactu-de-la-semaine/).]]>
            </summary>
            <updated>2026-04-10T08:27:23+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12506</id>
            <title type="text"><![CDATA[Multica]]></title>
            <link rel="alternate" href="https://multica.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12506"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[AI-Native Task Management.

Multica is an open-source platform that turns coding agents into real teammates. Assign tasks, track progress, compound skills — manage your human + agent workforce in one place.

- [Multica @ GitHub](https://github.com/multica-ai/multica).

Related contents:

- [Veille #51 — L&amp;#039;actu de la semaine @ Camille Roux :fr:](https://www.camilleroux.com/veille-51-lactu-de-la-semaine/).]]>
            </summary>
            <updated>2026-04-10T08:17:23+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12504</id>
            <title type="text"><![CDATA[Entire]]></title>
            <link rel="alternate" href="https://entire.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12504"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A new developer platform is coming.
Every commit tells a story.
Now you can read it.

Entire CLI hooks into your git workflow to capture AI agent sessions on every push. Sessions are indexed alongside commits, a searchable record of how code was written.

- [Entire CLI @ GitHub](https://github.com/entireio/cli).

Related contents:

- [Veille #51 — L&amp;#039;actu de la semaine @ Camille Roux :fr:](https://www.camilleroux.com/veille-51-lactu-de-la-semaine/).]]>
            </summary>
            <updated>2026-04-10T08:14:12+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12463</id>
            <title type="text"><![CDATA[Clicky]]></title>
            <link rel="alternate" href="https://www.clicky.so/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12463"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[It&amp;#039;s an AI teacher that lives as a buddy next to your cursor. It can see your screen, talk to you, and even point at stuff. Kinda like having a real teacher next to you.

- [Clicky @ GitHub](https://github.com/farzaa/clicky).]]>
            </summary>
            <updated>2026-04-08T12:23:51+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12457</id>
            <title type="text"><![CDATA[What I Learned Building Real Projects with AI Coding Agents]]></title>
            <link rel="alternate" href="https://github.com/sebsto/ai-coding-lessons-learned/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12457"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A 30-minute talk sharing practical lessons from building real production projects with AI coding agents — from brainstorming to shipped code.

Related contents:

- [Episode du 7 avril @ Les Technos :fr:](https://lestechnos.be/les-technos-episode-du-7-avril/).]]>
            </summary>
            <updated>2026-04-08T05:38:19+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12452</id>
            <title type="text"><![CDATA[BMAD Method]]></title>
            <link rel="alternate" href="https://docs.bmad-method.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12452"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Breakthrough Method for Agile Ai Driven Development .

The BMad Method (Build More Architect Dreams) is an AI-driven development framework module within the BMad Method Ecosystem that helps you build software through the whole process from ideation and planning all the way through agentic implementation. It provides specialized AI agents, guided workflows, and intelligent planning that adapts to your project’s complexity, whether you’re fixing a bug or building an enterprise platform.

- [BMAD Method @ GitHub](https://github.com/bmad-code-org/BMAD-METHOD).]]>
            </summary>
            <updated>2026-04-07T10:23:15+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12413</id>
            <title type="text"><![CDATA[Folo]]></title>
            <link rel="alternate" href="https://folo.is/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12413"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Folo is the AI RSS Reader

AI RSS Reader for deep, noise-free reading with contextual AI.

The AI that reads the internet for you,
cutting through noise to surface the knowledge you actually care about.

- [Folo @ GitHub](https://github.com/RSSNext/Folo).]]>
            </summary>
            <updated>2026-04-03T17:22:35+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12408</id>
            <title type="text"><![CDATA[SuperCmd]]></title>
            <link rel="alternate" href="https://supercmd.sh/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12408"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[AI-Native macOS Launcher.

Command your Mac at the speed of thought.

Voice typing, text-to-speech, persistent memory, AI prompt, clipboard history, and thousands of extensions — all in one launcher built natively for macOS.

- [SuperCmd @ GitHub](https://github.com/SuperCmdLabs/SuperCmd).]]>
            </summary>
            <updated>2026-04-03T17:12:22+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12405</id>
            <title type="text"><![CDATA[pGenie]]></title>
            <link rel="alternate" href="https://pgenie.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12405"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Write SQL. Ship confidence.
SQL-first tooling for PostgreSQL
Type-safe PostgreSQL client code generator.

pGenie validates SQL, manages indexes, and generates type-safe client SDKs — all derived from the migrations and queries in plain SQL. 

- [pGenie @ GitHub](https://github.com/pgenie-io/pgenie).]]>
            </summary>
            <updated>2026-04-03T16:43:38+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12388</id>
            <title type="text"><![CDATA[OpenBB]]></title>
            <link rel="alternate" href="https://openbb.co/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12388"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Financial data platform for analysts, quants and AI agents. 
The AI Workspace for Finance.

 Bridge your data with AI. Build AI-powered analytics applications, faster, securely and on your terms. 

- [OpenBB @ GitHub](https://github.com/OpenBB-finance/OpenBB).]]>
            </summary>
            <updated>2026-04-03T12:04:41+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12379</id>
            <title type="text"><![CDATA[Langflow]]></title>
            <link rel="alternate" href="https://www.langflow.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12379"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Low-code AI builder for agentic and RAG applications.
 Langflow is a powerful tool for building and deploying AI-powered agents and workflows. 

Langflow is a powerful platform for building and deploying AI-powered agents and workflows. It provides developers with both a visual authoring experience and built-in API and MCP servers that turn every workflow into a tool that can be integrated into applications built on any framework or stack. Langflow comes with batteries included and supports all major LLMs, vector databases and a growing library of AI tools.

- [Langflow @ GitHub](https://github.com/langflow-ai/langflow).

Related contents:

- [CVE-2026-33017 Detail @ NIST](https://nvd.nist.gov/vuln/detail/CVE-2026-33017).
- [Using AI for Terraform: running locally with Langflow, OpenSearch, &amp;amp; Ollama @ Rosemary Wang&amp;#039;s dev.to](https://dev.to/joatmon08/using-ai-for-terraform-running-a-locally-with-langflow-opensearch-ollama-5co6).]]>
            </summary>
            <updated>2026-04-08T05:59:06+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12378</id>
            <title type="text"><![CDATA[Merrilin]]></title>
            <link rel="alternate" href="https://merrilin.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12378"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Read naturally, ask freely

A reading app with an AI companion that adapts to what you&amp;#039;re reading, protecting fiction from spoilers while answering non-fiction with full context.

Related contents:

- [What Was I Reading Last? In Three Not-So-Easy Pieces @ Stonecharioteer on Tech](https://tech.stonecharioteer.com/posts/2026/merrilin-local-sync/).]]>
            </summary>
            <updated>2026-03-30T18:55:09+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12377</id>
            <title type="text"><![CDATA[jai]]></title>
            <link rel="alternate" href="https://jai.scs.stanford.edu/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12377"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Go hard on agents, not on your filesystem.
easy containment for AI agents.

Use jai for effortless containment of AI agents on Linux.
jai strives to be the easiest container in the world to configure--so easy that you never again need to run a code assistant without protection. It&amp;#039;s not a substitute for docker or podman when you need better isolation. But if you regularly do risky things like run an AI CLI with your own privileges in your home directory on a computer that you care about, then jai could reduce the damage when things go wrong.

- [jai @ GitHub](https://github.com/stanford-scs/jai).]]>
            </summary>
            <updated>2026-03-30T18:50:49+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12376</id>
            <title type="text"><![CDATA[Onyx AI]]></title>
            <link rel="alternate" href="https://onyx.app/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12376"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open Source Enterprise Search &amp;amp; AI Assistant.
Give your team superpowers.

Onyx is the open-source AI chat connected to your docs, apps, and people.
 Open Source AI Platform - AI Chat with advanced features that works with every LLM.


Onyx is a feature-rich, self-hostable Chat UI that works with any LLM. It is easy to deploy and can run in a completely airgapped environment.
Onyx comes loaded with advanced features like Agents, Web Search, RAG, MCP, Deep Research, Connectors to 40+ knowledge sources, and more.

- [Onyx @ GitHub](https://github.com/onyx-dot-app/onyx)]]>
            </summary>
            <updated>2026-03-30T18:47:08+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12343</id>
            <title type="text"><![CDATA[KAITO]]></title>
            <link rel="alternate" href="https://kaito-project.github.io/kaito/docs/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12343"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Kubernetes AI Toolchain Operator.

KAITO is an operator that automates the AI/ML model inference or tuning workload in a Kubernetes cluster. The target models are popular open-sourced large models such as falcon and phi-3.

- [KAITO @ GitHub](https://github.com/kaito-project/kaito).

Related contents:

- [Building a Kubernetes-native pattern for AI infrastructure at scale @ The New Stack](https://thenewstack.io/kubernetes-native-ai-infrastructure/).]]>
            </summary>
            <updated>2026-03-28T14:42:24+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12336</id>
            <title type="text"><![CDATA[llmfit]]></title>
            <link rel="alternate" href="https://github.com/AlexsJones/llmfit" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12336"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Hundreds of models &amp;amp; providers. One command to find what runs on your hardware.

A terminal tool that right-sizes LLM models to your system&amp;#039;s RAM, CPU, and GPU. Detects your hardware, scores each model across quality, speed, fit, and context dimensions, and tells you which ones will actually run well on your machine.

Ships with an interactive TUI (default) and a classic CLI mode. Supports multi-GPU setups, MoE architectures, dynamic quantization selection, speed estimation, and local runtime providers (Ollama, llama.cpp, MLX, Docker Model Runner, LM Studio).

Related contents:

- [\#130 - News avril 2026, Cursor et Copilot dans la tourmente, Axios compromis et Arrow JS @ Double Slash :fr:](https://double-slash.dev/podcasts/news-avril26/).
- [llmfit - L&amp;#039;outil qui sait quel LLM votre PC peut encaisser @ Korben :fr:](https://korben.info/llmfit-trouver-llm-compatible-hardware.html).
- [LLMFit : Quel LLM faire tourner sur votre ordinateur ? @ Geeek :fr:](https://www.geeek.org/llmfit-llm-local/).]]>
            </summary>
            <updated>2026-04-30T11:15:16+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12314</id>
            <title type="text"><![CDATA[Arbor]]></title>
            <link rel="alternate" href="https://penso.github.io/arbor/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12314"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Run agentic coding workflows in a fully native desktop app for Git worktrees, terminals, and diffs. 
Fully Native App for Agentic Coding. Run issue-driven coding workflows in one native workspace.

Arbor is a Rust-powered native workspace with a shared daemon for the desktop app, web UI, CLI, and MCP server. Create worktrees from issues, run embedded terminals and managed processes, inspect PR context, and keep coding agents visible without juggling tools. 

- [Arbor @ GitHub](https://github.com/penso/arbor).]]>
            </summary>
            <updated>2026-03-28T07:39:32+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12306</id>
            <title type="text"><![CDATA[Opilot]]></title>
            <link rel="alternate" href="https://opilot.self.agency/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12306"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Ollama for GitHub Copilot VS Code Extension.
Run Ollama models with full tool and vision support inside GitHub Copilot Chat.

Opilot integrates the full Ollama ecosystem — local models, cloud models, and the Ollama model library — directly into VS Code&amp;#039;s Copilot Chat interface. Your conversations never leave your machine when using local models, and you can switch between models without leaving the editor.

- [Opilot @ GitHub](https://github.com/selfagency/opilot).]]>
            </summary>
            <updated>2026-03-26T16:12:03+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12293</id>
            <title type="text"><![CDATA[Ensu]]></title>
            <link rel="alternate" href="https://ente.com/ensu/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12293"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Introducing Ensu, our first step toward a private, personal LLM app that runs on your device and grows with you over time.]]>
            </summary>
            <updated>2026-03-26T12:50:09+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12279</id>
            <title type="text"><![CDATA[Vapi]]></title>
            <link rel="alternate" href="https://vapi.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12279"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Build Advanced Voice AI Agents.

Related contents:

- [How I Built an AI Receptionist for a Luxury Mechanic Shop - Part 1 @ That Ladydev](https://www.itsthatlady.dev/blog/building-an-ai-receptionist-for-my-brother/).]]>
            </summary>
            <updated>2026-03-24T13:48:29+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12276</id>
            <title type="text"><![CDATA[ArrowJS]]></title>
            <link rel="alternate" href="https://arrow-js.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12276"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The first UI framework for the agentic era — tiny, performant, with WASM sandboxes for safe code execution. 

A tiny, blazing-fast, zero dependency, type-safe framework with no build step required.

ArrowJS ships with the ability to isolate component logic inside Web Assembly sandboxes while rendering full inline DOM directly in your app — no iframes, no pre-defined UI components.

- [Arrow JS @ GitHub](https://github.com/standardagents/arrow-js).

Related contents:

- [\#130 - News avril 2026, Cursor et Copilot dans la tourmente, Axios compromis et Arrow JS @ Double Slash :fr:](https://double-slash.dev/podcasts/news-avril26/).]]>
            </summary>
            <updated>2026-04-09T05:55:59+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12274</id>
            <title type="text"><![CDATA[cq]]></title>
            <link rel="alternate" href="https://github.com/mozilla-ai/cq" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12274"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[An open standard for shared agent learning. Agents persist, share, and query collective knowledge so they stop rediscovering the same failures independently. 

cq is derived from colloquy (/ˈkɒl.ə.kwi/), a structured exchange of ideas where understanding emerges through dialogue rather than one-way output. It reflects a focus on reciprocal knowledge sharing; systems that improve through participation, not passive use. In radio, CQ is a general call (&amp;quot;any station, respond&amp;quot;), capturing the same model: open invitation, response, and collective signal built through interaction.

Related contents:

- [cq: Stack Overflow for Agents @ Mozilla.ai](https://blog.mozilla.ai/cq-stack-overflow-for-agents/).]]>
            </summary>
            <updated>2026-03-24T13:25:02+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12271</id>
            <title type="text"><![CDATA[Claude Code]]></title>
            <link rel="alternate" href="https://claude.com/product/claude-code" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12271"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[AI Coding Agent, Terminal, IDE.

Work with Claude directly in your codebase. Build, debug, and ship from your terminal, IDE, Slack, or the web. Describe what you need, and Claude handles the rest.

Related contents:

- [Claude Code Cheat Sheet](https://cc.storyfox.cz/).
- [Claude Code Essentials @ freeCodeCamp.org&amp;#039;s YouTube](https://www.youtube.com/watch?v=brLhhkUqcn4).
- [How I&amp;#039;m Productive with Claude Code @ Neil Kakkar](https://neilkakkar.com/productive-with-claude-code.html).
- [Auto mode for Claude Code @ Simon Willison&amp;#039;s Weblog](https://simonwillison.net/2026/Mar/24/auto-mode-for-claude-code/#atom-everything).
- [Inside the Claude Code source @ Haseeb Qureshi&amp;#039;s GitHub Gist](https://gist.github.com/Haseeb-Qureshi/d0dc36844c19d26303ce09b42e7188c1).
- [Entire Claude Code CLI source code leaks thanks to exposed map file @ Ars Technica](https://arstechnica.com/ai/2026/03/entire-claude-code-cli-source-code-leaks-thanks-to-exposed-map-file/).
- [Reading leaked Claude Code source code @ Vita Nouva](https://lr0.org/blog/p/claude-code-source/).
- [The Claude Code Source Leak: fake tools, frustration regexes, undercover mode, and more @ Alex Kim&amp;#039;s blog](https://alex000kim.com/posts/2026-03-31-claude-code-source-leak/).
- [What&amp;#039;s cch? Reverse Engineering Claude Code&amp;#039;s Request Signing](https://a10k.co/b/reverse-engineering-claude-code-cch.html).
- [How Claude Code Builds a System Prompt @ dbreunig.com](https://www.dbreunig.com/2026/04/04/how-claude-code-builds-a-system-prompt.html).
- [Fuite Claude Code - 6 trucs à piquer pour vos hooks @ Korben :fr:](https://korben.info/claude-code-6-patterns-bonnes-pratiques-hooks.html).
- [Leveling Up Secure Code Reviews with Claude Code @ SpecterOps](https://specterops.io/blog/2026/03/26/leveling-up-secure-code-reviews-with-claude-code/).]]>
            </summary>
            <updated>2026-04-13T04:12:08+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12261</id>
            <title type="text"><![CDATA[Sashiko]]></title>
            <link rel="alternate" href="https://sashiko.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12261"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Agentic review of Linux Kernel code changes.

Sashiko is an agentic Linux kernel code review system. It uses a set Linux kernel-specific prompts and a special protocol to review proposed Linux kernel changes. Sashiko can ingest patches from mailing lists or local git. It&amp;#039;s fully self contained (doesn&amp;#039;t use any external agentic cli tools) and can work with various LLM providers.

Related contents:

- [Google lance une IA pour traquer les bugs dans le noyau Linux @ Korben :fr:](https://korben.info/google-lance-une-ia-pour-traquer-les-bugs-dans-le-noyau-linux.html).]]>
            </summary>
            <updated>2026-03-23T16:02:39+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12241</id>
            <title type="text"><![CDATA[Project N.O.M.A.D]]></title>
            <link rel="alternate" href="https://github.com/Crosstalk-Solutions/project-nomad" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12241"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Node for Offline Media, Archives, and Data.

 Project N.O.M.A.D, is a self-contained, offline survival computer packed with critical tools, knowledge, and AI to keep you informed and empowered—anytime, anywhere.]]>
            </summary>
            <updated>2026-03-23T14:42:45+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12237</id>
            <title type="text"><![CDATA[pertmux]]></title>
            <link rel="alternate" href="https://pertmux.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12237"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[pertmux ([ru]-pert multiplexer) - unified SWE Dash.
 Your MRs. Your worktrees. Your agents. One dashboard.

A Rust TUI that links GitLab/GitHub merge requests to local branches, tmux sessions, and AI coding agents — one place for everything. 

pertmux ([ru]-pert multiplexer) is a unified SWE dashboard that links GitLab/GitHub MRs to local branches/worktrees, tmux sessions, and coding agent instances. It provides a real-time view of merge request status, pipeline health, worktree management, and session progress — all from a single TUI.

- [pertmux @ GitHub](https://github.com/rupert648/pertmux).]]>
            </summary>
            <updated>2026-03-23T14:26:43+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12234</id>
            <title type="text"><![CDATA[Qevlar AI]]></title>
            <link rel="alternate" href="https://www.qevlar.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12234"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Turn SOC Noise into Real Signals. Autonomous SOC Platform.

Qevlar AI investigates every alert like your top analyst would. So your SOC focuses on real threats, not alert firefighting.

Related contents:

- [Episode \#536 consacré à l’automatisation des investigations du SOC @ NoLimitSecu :fr:](https://www.nolimitsecu.fr/automatisation-des-investigations-du-soc/).]]>
            </summary>
            <updated>2026-03-23T13:28:20+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12233</id>
            <title type="text"><![CDATA[Serena]]></title>
            <link rel="alternate" href="https://oraios.github.io/serena/01-about/000_intro.html" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12233"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Serena is a powerful coding agent toolkit capable of turning an LLM into a fully-featured agent that works directly on your codebase. Unlike most other tools, it is not tied to an LLM, framework or an interface, making it easy to use it in a variety of ways.

Serena provides essential semantic code retrieval and editing tools that are akin to an IDE’s capabilities, extracting code entities at the symbol level and exploiting relational structure. When combined with an existing coding agent, these tools greatly enhance (token) efficiency.

Serena is free &amp;amp; open-source, enhancing the capabilities of LLMs you already have access to free of charge.

- [Serena @ GitHub](https://github.com/oraios/serena).

Related contents:

- [\#346.src - IA &amp;amp; DevX: Code assisté, valeur humaine préservée avec Jocelyn N&amp;#039;takpe @ \&amp;lt;ifttd&amp;gt;](https://www.ifttd.io/episodes/ia-devx).]]>
            </summary>
            <updated>2026-03-22T18:16:43+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12224</id>
            <title type="text"><![CDATA[CanIRun.ai]]></title>
            <link rel="alternate" href="https://www.canirun.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12224"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Can I Run AI locally? 

 Find out which AI models your machine can actually run.

Related contents:

- [\#130 - News avril 2026, Cursor et Copilot dans la tourmente, Axios compromis et Arrow JS @ Double Slash :fr:](https://double-slash.dev/podcasts/news-avril26/).]]>
            </summary>
            <updated>2026-04-09T06:02:58+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12223</id>
            <title type="text"><![CDATA[Ghost OS]]></title>
            <link rel="alternate" href="https://github.com/ghostwright/ghost-os" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12223"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Full computer-use for AI agents. Self-learning workflows. Native macOS. No screenshots required. 

Your AI agent can write code, run tests, search files. But it can&amp;#039;t click a button, send an email, or fill out a form. It lives inside a chat box.

Ghost OS changes that. One install, and any AI agent can see and operate every app on your Mac.]]>
            </summary>
            <updated>2026-03-20T14:03:05+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12216</id>
            <title type="text"><![CDATA[NVIDIA OpenShell]]></title>
            <link rel="alternate" href="https://docs.nvidia.com/openshell/latest/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12216"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[OpenShell is the safe, private runtime for autonomous AI agents. 

NVIDIA OpenShell is the safe, private runtime for autonomous AI agents. It provides sandboxed execution environments that protect your data, credentials, and infrastructure. Agents run with exactly the permissions they need and nothing more, governed by declarative policies that prevent unauthorized file access, data exfiltration, and uncontrolled network activity.

- [NVIDIA OpenShell @ GitHub](https://github.com/NVIDIA/OpenShell).

Related contents:

- [NVIDIA OpenShell Secures the Agent. Who Governs the Fleet? @ Tigera](https://www.tigera.io/blog/nvidia-openshell-secures-the-agent-who-governs-the-fleet/).]]>
            </summary>
            <updated>2026-07-20T09:24:38+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12207</id>
            <title type="text"><![CDATA[Edit Mind]]></title>
            <link rel="alternate" href="https://github.com/IliasHad/edit-mind" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12207"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Local Video Knowledge Base.

 Local-first AI video intelligence platform. Index your video library with multi-modal analysis (YOLO, DeepFace, Whisper), search semantically via natural language, Docker-ready. 

Edit Mind lets you index your videos (including transcription, frame analysis, and multi-model embedding), and you can search your videos (or specific video scenes) using natural language.]]>
            </summary>
            <updated>2026-03-20T13:05:00+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12205</id>
            <title type="text"><![CDATA[Anti Slop]]></title>
            <link rel="alternate" href="https://github.com/peakoss/anti-slop" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12205"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A GitHub action that detects and automatically closes low-quality and AI slop PRs. 

A GitHub Action that detects and automatically closes low-quality and AI slop PRs. It ships with 31 check rules covering PR branches, title, description, template, commit messages, file changes, user signals and contributor history.

Everything is configurable through 54 options including checks, exemptions and failure actions, that you do not have to touch if you don&amp;#039;t want to, as we&amp;#039;ve set sensible defaults.]]>
            </summary>
            <updated>2026-03-20T12:56:46+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12194</id>
            <title type="text"><![CDATA[Chat SDK]]></title>
            <link rel="alternate" href="https://chat-sdk.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12194"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A unified TypeScript SDK for building chat bots across Slack, Microsoft Teams, Google Chat, Discord, Telegram, GitHub, Linear, and WhatsApp. Write your bot logic once, deploy everywhere.

- [Chat SDK @ GitHub](https://github.com/vercel/chat).

Related contents:

- [\#129 - News Mars 2026, Vite+, Void Cloud, du drama et de l&amp;#039;IA @ Double Slash :fr:](https://double-slash.dev/podcasts/news-mars26/).]]>
            </summary>
            <updated>2026-03-20T07:21:53+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12192</id>
            <title type="text"><![CDATA[Air]]></title>
            <link rel="alternate" href="https://air.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12192"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Run beloved agents side by side. Multitask with agents, stay in control.

JetBrains Air is the Agentic Development Environment where Codex, Claude Agent, Gemini CLI, and Junie execute independent task loops without interfering with each other.]]>
            </summary>
            <updated>2026-03-20T07:16:30+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12189</id>
            <title type="text"><![CDATA[Argus]]></title>
            <link rel="alternate" href="https://tryargus.cloud/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12189"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[AI-Native Infrastructure Monitoring.
Argus uses AI to detect anomalies, investigate incidents, and resolve issues — before your users notice.

 AI-native observability for production systems. Automatically understands your application from runtime data and logs. No dashboards. No manual configuration. 

 Argus is an open-source observability platform with a built-in AI agent that monitors your infrastructure, investigates anomalies autonomously, and proposes fixes — all through a chat interface. Think Datadog + ChatGPT, self-hosted and under your control. 

- [Argus @ GitHub](https://github.com/precious112/Argus).]]>
            </summary>
            <updated>2026-03-19T14:39:00+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12184</id>
            <title type="text"><![CDATA[Machine Payments Protocol]]></title>
            <link rel="alternate" href="https://mpp.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12184"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The open protocol for machine-to-machine payments. Charge for API requests, tool calls, or content—agents and apps pay per request in the same HTTP call.]]>
            </summary>
            <updated>2026-03-19T12:56:28+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12172</id>
            <title type="text"><![CDATA[OpenReview]]></title>
            <link rel="alternate" href="https://openreview.labs.vercel.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12172"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[An open-source, self-hosted AI code review bot. Deploy to Vercel, connect a GitHub App, and get on-demand PR reviews powered by Claude.

- [OpenReview @ GitHub](https://github.com/vercel-labs/openreview).]]>
            </summary>
            <updated>2026-03-18T11:02:08+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12164</id>
            <title type="text"><![CDATA[Deep Agents]]></title>
            <link rel="alternate" href="https://docs.langchain.com/oss/python/deepagents/overview" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12164"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The batteries-included agent harness.

The easiest way to start building agents and applications powered by LLMs—with built-in capabilities for task planning, file systems for context management, subagent-spawning, and long-term memory. You can use deep agents for any task, including complex, multi-step tasks.

 Agent harness built with LangChain and LangGraph. Equipped with a planning tool, a filesystem backend, and the ability to spawn subagents - well-equipped to handle complex agentic tasks. 

Deep Agents is an agent harness. An opinionated, ready-to-run agent out of the box. Instead of wiring up prompts, tools, and context management yourself, you get a working agent immediately and customize what you need.

- [Deep Agents @ GitHub](https://github.com/langchain-ai/deepagents).

Related contents:

- [Your harness, your memory @ LangChain Blog](https://blog.langchain.com/your-harness-your-memory/).
- [Sandboxing an AI Agent @ Sajal Sharma](https://sajalsharma.com/posts/sandboxing-an-ai-agent/).]]>
            </summary>
            <updated>2026-07-02T12:11:08+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12146</id>
            <title type="text"><![CDATA[GitAgent]]></title>
            <link rel="alternate" href="https://www.gitagent.sh/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12146"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[your repository becomes your agent.
The Open Standard for Git-Native AI Agents.
The open standard for defining, versioning, and running AI agents natively in git.

A git-native, framework-agnostic, open standard for defining AI agents. Version-controlled config that exports to Claude Code, OpenClaw, Lyzr Agent, Chimera, NanoBot, CrewAgent, and Agents SDK.

- [GitAgent @ GitHub](https://github.com/open-gitagent/gitagent).]]>
            </summary>
            <updated>2026-03-16T12:24:17+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12132</id>
            <title type="text"><![CDATA[Switchboard]]></title>
            <link rel="alternate" href="https://github.com/doctly/switchboard" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12132"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A desktop app for browsing, searching, and managing CLI coding sessions. Your command center for Claude Code sessions.

Switchboard is a desktop app that gives you a unified view of all your Claude Code sessions across every project. Launch, resume, fork, and monitor sessions from a single window — no more juggling terminal tabs or digging through ~/.claude/projects to find that one conversation from last week.]]>
            </summary>
            <updated>2026-03-16T07:46:30+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12127</id>
            <title type="text"><![CDATA[nao]]></title>
            <link rel="alternate" href="https://getnao.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12127"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[the Analytics Agent built for context engineering.
Build your agent context like a file system.

Deploy a chat UI for anyone to run analytics on your data.

- [nao @ GitHub](https://github.com/getnao/nao).

Related contents:

- [SQL Is Solved. Here&amp;#039;s Where Chat-BI Still Breaks @ Ju Data Engineering Newsletter](https://juhache.substack.com/p/sql-is-solved-heres-where-chat-bi).]]>
            </summary>
            <updated>2026-03-16T07:05:35+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12103</id>
            <title type="text"><![CDATA[OBLITERATUS]]></title>
            <link rel="alternate" href="https://github.com/elder-plinius/OBLITERATUS" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12103"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[OBLITERATE THE CHAINS THAT BIND YOU.
 Break the chains. Free the mind. Keep the brain. 

OBLITERATUS is the most advanced open-source toolkit for understanding and removing refusal behaviors from large language models — and every single run makes it smarter. It implements abliteration — a family of techniques that identify and surgically remove the internal representations responsible for content refusal, without retraining or fine-tuning. The result: a model that responds to all prompts without artificial gatekeeping, while preserving its core language capabilities.

Related contents:

- [OBLITERATUS, l&amp;#039;outil qui débride toutes les IA ? @ Choses à Savoir TECH :fr:](https://shows.acast.com/choses-a-savoir-technologie/episodes/obliteratus-loutil-qui-debride-toutes-les-ia).]]>
            </summary>
            <updated>2026-03-13T06:42:42+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12101</id>
            <title type="text"><![CDATA[Plannotator]]></title>
            <link rel="alternate" href="https://plannotator.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12101"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Annotate plans.
Not in the terminal.
Visual Plan Review for Claude Code

Interactive Plan Review for coding agents. Mark up and refine plans visually, share for team collaboration. Works with Claude Code, OpenCode, and Pi. 
 Annotate and review coding agent plans visually, share with your team, send feedback to agents with one click. 
Interactive Plan Review for AI Coding Agents. Mark up and refine your plans using a visual UI, share for team collaboration, and seamlessly integrate with Claude Code, OpenCode, Pi, and Codex.

- [Plannotator @ GitHub](https://github.com/backnotprop/plannotator).]]>
            </summary>
            <updated>2026-03-12T11:32:06+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12100</id>
            <title type="text"><![CDATA[Agent Browser Protocol]]></title>
            <link rel="alternate" href="https://github.com/theredsix/agent-browser-protocol" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12100"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Deterministic browser automation. Works out of the box with Claude/Codex/OpenCode.

Web browsing is continuous and async. Agents think in tools and steps. ABP reformats web navigation into the discrete, multimodal chat format agents know and love.

ABP is a Chromium build with MCP + REST baked directly into the browser engine.]]>
            </summary>
            <updated>2026-03-12T11:30:27+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12097</id>
            <title type="text"><![CDATA[enject]]></title>
            <link rel="alternate" href="https://github.com/GreatScott/enject" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12097"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Hide .env secrets from prAIng eyes.

secrets live in local encrypted stores (per project) and are injected directly into apps at runtime, never touching disk as plaintext. 

Related contents:

- [Don’t let A.I. read your .env files @ Filip Hric](https://filiphric.com/dont-let-ai-read-your-env-files).]]>
            </summary>
            <updated>2026-03-12T11:16:52+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12096</id>
            <title type="text"><![CDATA[AI Best Practices — Semgrep Rules]]></title>
            <link rel="alternate" href="https://github.com/semgrep/ai-best-practices" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12096"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Semgrep Pro Rules to ensure code using LLMs is following best practices.

Semgrep rules that catch common trust &amp;amp; safety mistakes in LLM-powered applications. Scan any codebase in seconds to find hardcoded API keys, missing safety checks, prompt injection risks, and unhandled errors across all major AI providers.]]>
            </summary>
            <updated>2026-03-12T11:15:10+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12090</id>
            <title type="text"><![CDATA[Symphony]]></title>
            <link rel="alternate" href="https://github.com/openai/symphony" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12090"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Symphony turns project work into isolated, autonomous implementation runs, allowing teams to manage work instead of supervising coding agents.

Related contents:

- [An open-source spec for Codex orchestration: Symphony @ OpenAI](https://openai.com/index/open-source-codex-orchestration-symphony/).]]>
            </summary>
            <updated>2026-04-28T11:39:22+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12089</id>
            <title type="text"><![CDATA[Hermes Agent]]></title>
            <link rel="alternate" href="https://hermes-agent.nousresearch.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12089"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[An agent that grows with you.

Install it on a machine, give it your messaging accounts, and it becomes a persistent personal agent that grows with you — learning your projects, building its own skills, and reaching you wherever you are. 

The self-improving AI agent built by Nous Research. It&amp;#039;s the only agent with a built-in learning loop — it creates skills from experience, improves them during use, nudges itself to persist knowledge, searches its own past conversations, and builds a deepening model of who you are across sessions. Run it on a $5 VPS, a GPU cluster, or serverless infrastructure that costs nearly nothing when idle. It&amp;#039;s not tied to your laptop — talk to it from Telegram while it works on a cloud VM.

- [Hermes Agent @ GitHub](https://github.com/NousResearch/hermes-agent).

Related contents:

- [Episode du 7 avril @ Les Technos :fr:](https://lestechnos.be/les-technos-episode-du-7-avril/).
- [Episode 661: Sink Your Claws In @ Linux Unplugged](https://linuxunplugged.com/661).
- [Episode 668: --yolo @ Linux Unplugged](https://linuxunplugged.com/668).
- [E357: Hermes Agent: Agents that grow with you @ Practical AI](https://practicalai.show/357).
- [Hermes Agent : veille technique auto-hébergée avec Matrix, FreshRSS et Firecrawl @ Cryptolab :fr:](https://cryptolab.re/posts/2026/hermes-agent-framework-self-hosted/).
- [Episode 677: We Got a Buzz @ Linux Unplugged](https://linuxunplugged.com/677).]]>
            </summary>
            <updated>2026-07-27T05:23:45+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12085</id>
            <title type="text"><![CDATA[Pact]]></title>
            <link rel="alternate" href="https://github.com/jmcentire/pact" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12085"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Contracts before code. Tests as law. Agents that can&amp;#039;t cheat. 

Pact is a multi-agent software engineering framework where the architecture is decided before a single line of implementation is written. Tasks are decomposed into components, each component gets a typed interface contract, and each contract gets executable tests. Only then do agents implement -- independently, in parallel, even competitively -- with no way to ship code that doesn&amp;#039;t honor its contract. Generates Python, TypeScript, or JavaScript.]]>
            </summary>
            <updated>2026-03-11T11:06:44+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12083</id>
            <title type="text"><![CDATA[Rust Token Killer (rtk)]]></title>
            <link rel="alternate" href="https://www.rtk-ai.app/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12083"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Make your AI coding agent smarter. CLI proxy.

 CLI proxy that reduces LLM token consumption by 60-90% on common dev commands. Single Rust binary, zero dependencies.

rtk filters and compresses command outputs before they reach your LLM context. Single Rust binary, zero dependencies, &amp;lt;10ms overhead.

- [rtk @ GitHub](https://github.com/rtk-ai/rtk).

Related contents:

- [RTK - Le proxy Rust qui vous fait économiser jusqu&amp;#039;à 90% de tokens @ Korben :fr:](https://korben.info/rtk-proxy-rust-economiser-tokens.html).
- [\#131: News Mai 2026, TypeScript 7 en beta, faux package TanStack et agent Cursor destructeur @ Double Slash :fr:](https://double-slash.dev/podcasts/news-mai26/).]]>
            </summary>
            <updated>2026-06-04T05:35:31+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12080</id>
            <title type="text"><![CDATA[Codemogger]]></title>
            <link rel="alternate" href="https://github.com/glommer/codemogger" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12080"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Codemogger is a code indexing library and MCP server for AI coding agents.

Code indexing library for AI coding agents. Parses source code with tree-sitter, chunks it into semantic units (functions, structs, classes, impl blocks), embeds them locally, and stores everything in a single SQLite file with vector + full-text search.

Related contents:

- [Building a code search engine with Turso @ Turso](https://turso.tech/blog/building-a-code-search-engine-with-turso).]]>
            </summary>
            <updated>2026-03-11T07:18:22+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12079</id>
            <title type="text"><![CDATA[MICROSLOP — Microsoft&amp;#039;s AI Slop Manifesto]]></title>
            <link rel="alternate" href="https://microslop.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12079"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[MICROSOFT IS DROWNING
THE INTERNET IN AI SLOP

A manifesto documenting the systematic flooding of low-quality, synthesized, and unverified content]]>
            </summary>
            <updated>2026-03-11T07:16:42+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12074</id>
            <title type="text"><![CDATA[haphash]]></title>
            <link rel="alternate" href="https://github.com/dgl/haphash" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12074"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Anti-scraper challenge for haproxy to stop naughty AI bots. 

This is a simple anti-scraper solution for haproxy, using a similar &amp;quot;hashcash&amp;quot; challenge as anubis uses. The goal is to be as simple as possible, so this can be implemented alongside other haproxy rules to control traffic.]]>
            </summary>
            <updated>2026-03-10T08:26:08+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12070</id>
            <title type="text"><![CDATA[PageAgent]]></title>
            <link rel="alternate" href="https://alibaba.github.io/page-agent/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12070"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The AI Operator Living in Your Web Page.
 JavaScript in-page GUI agent. Control web interfaces with natural language. 

🪄One line of code, turns your website into an AI-native app.
Users give natural language commands, AI handles the rest.

- [PageAgent @ GitHub](https://github.com/alibaba/page-agent).]]>
            </summary>
            <updated>2026-03-09T12:15:49+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12067</id>
            <title type="text"><![CDATA[Milimo Video]]></title>
            <link rel="alternate" href="https://github.com/mainza-ai/milimovideo" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12067"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The AI-Native Cinematic Studio. A professional Non-Linear Editor (NLE) for filmmakers. 

Milimo Video is a state-of-the-art, open-source AI video production studio designed for filmmakers. It unifies the world&amp;#039;s best foundation models into a cohesive, professional workflow — running entirely local-first on your own machine.

Related contents:

- [MilimoVideo - Le studio de cinéma IA 100% local @ Korben :fr:](https://korben.info/milimovideo-studio-video-ia.html).]]>
            </summary>
            <updated>2026-03-09T10:09:08+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12063</id>
            <title type="text"><![CDATA[Perspective Server]]></title>
            <link rel="alternate" href="https://github.com/Techopolis/Perspective-Server" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12063"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[macOS menu bar app that exposes Apple&amp;#039;s on-device Foundation Models as an OpenAI-compatible local API. Zero cloud. Zero dependencies. 

- [Perspective Intelligence Web (Community Edition) @ GitHub](https://github.com/Techopolis/perspective-intelligence-web-community).

Related contents:

- [Perspective Intelligence - L&amp;#039;IA de votre Mac sort de sa cage @ Korben :fr:](https://korben.info/perspective-intelligence-web-community.html).]]>
            </summary>
            <updated>2026-03-09T09:59:30+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12049</id>
            <title type="text"><![CDATA[Threat Designer]]></title>
            <link rel="alternate" href="https://github.com/awslabs/threat-designer" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12049"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Threat Designer is a GenerativeAI application designed to automate and streamline the threat modeling process for secure system design. 

Threat Designer is an AI-driven agent that automates and streamlines the threat modeling process for secure system design. Harnessing the power of large language models (LLMs), it analyzes system architectures, identifies potential security threats, and generates detailed threat models—empowering developers and security professionals to incorporate security from the earliest stages of development.]]>
            </summary>
            <updated>2026-03-09T07:19:41+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12048</id>
            <title type="text"><![CDATA[Ray]]></title>
            <link rel="alternate" href="https://www.ray.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12048"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Scale Machine Learning &amp;amp; AI Computing.

 Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads. 

- [Ray @ GitHub](https://github.com/ray-project/ray).]]>
            </summary>
            <updated>2026-03-09T07:18:36+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12044</id>
            <title type="text"><![CDATA[Label Studio]]></title>
            <link rel="alternate" href="https://labelstud.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12044"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open Source Data Labeling.

The most flexible data labeling platform to fine-tune LLMs, prepare training data, or evaluate AI systems.
 Label Studio is a multi-type data labeling and annotation tool with standardized output format.
Label Studio is an open source data labeling tool. It lets you label data types like audio, text, images, videos, and time series with a simple and straightforward UI and export to various model formats. It can be used to prepare raw data or improve existing training data to get more accurate ML models.

- [Label Studio @ GitHub](https://github.com/HumanSignal/label-studio/).]]>
            </summary>
            <updated>2026-03-06T14:56:24+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12041</id>
            <title type="text"><![CDATA[AReaL]]></title>
            <link rel="alternate" href="https://inclusionai.github.io/AReaL/en/intro.html" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12041"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Lightning-Fast RL for LLM Reasoning and Agents. Made Simple &amp;amp; Flexible. 

AReaL is an open-source fully asynchronous reinforcement learning training system for large reasoning and agentic models, developed by members from Tsinghua IIIS and the AReaL Team at Ant Group. Built upon the open-source project ReaLHF, we are fully committed to open-source principles by providing the training details, data, and infrastructure required to reproduce our results, along with the models themselves. AReaL aims to help everyone build their own AI agents easily and affordably. Our team loves milk tea because it&amp;#039;s delicious, customizable, and affordable—we hope you enjoy our project just as much as you&amp;#039;d enjoy real milk tea. Cheers!

- [AReaL @ GitHub](https://github.com/inclusionAI/AReaL).]]>
            </summary>
            <updated>2026-03-06T12:35:40+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12033</id>
            <title type="text"><![CDATA[Token Limit]]></title>
            <link rel="alternate" href="https://github.com/azat-io/token-limit" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12033"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[🛰 Monitor how many tokens your code and configs consume in AI tools. Set budgets and get alerts when limits are hit.

Token Limit helps you monitor how many tokens your AI context files consume. Set token budgets for your prompts, documentation, and configs, then get alerts when limits are exceeded.

Keep your AI costs predictable and avoid hitting context window limits that break your applications.]]>
            </summary>
            <updated>2026-03-05T16:11:46+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12028</id>
            <title type="text"><![CDATA[Lix]]></title>
            <link rel="alternate" href="https://lix.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12028"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The version control system for AI agents.
Embeddable version control system for AI agents.

Lix is a version control system that can be imported as a library. Use it to, for example, enable human-in-the-loop workflows for AI agents like diffs and reviews.

- [Lix @ GitHub](https://github.com/opral/lix).]]>
            </summary>
            <updated>2026-03-05T16:05:14+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12011</id>
            <title type="text"><![CDATA[React Native Vibe Code]]></title>
            <link rel="alternate" href="https://reactnativevibecode.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12011"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The free and open source React Native vibe coding IDE
Text to mobile apps in seconds
Ask chat anything, and turn your words into iOS, Android and web apps at the same time.


The React Native Vibe Code SDK lets you build text to mobile &amp;amp; web apps in seconds. A full suite of packages to run your your own vibe coding features or platform.

- [React Native Vibe Code @ GitHub](https://github.com/react-native-vibe-code/react-native-vibe-code-sdk).]]>
            </summary>
            <updated>2026-03-04T12:49:03+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12007</id>
            <title type="text"><![CDATA[OpenSandbox]]></title>
            <link rel="alternate" href="https://open-sandbox.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12007"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Universal Sandbox Infrastructure for AI Applications.

Securely run commands, filesystems, code interpreters, browsers, and developer tools in isolated runtime environments.

 OpenSandbox is a general-purpose sandbox platform for AI applications, offering multi-language SDKs, unified sandbox APIs, and Docker/Kubernetes runtimes for scenarios like Coding Agents, GUI Agents, Agent Evaluation, AI Code Execution, and RL Training. 

- [OpenSandbox @ GitHub](https://github.com/alibaba/OpenSandbox).]]>
            </summary>
            <updated>2026-03-04T12:33:46+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11998</id>
            <title type="text"><![CDATA[shuo 说]]></title>
            <link rel="alternate" href="https://github.com/NickTikhonov/shuo" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11998"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[sub-500ms latency phone agent orchestration.
A voice agent framework in ~600 lines of Python.

Related contents:

- [How I built a sub-500ms latency voice agent from scratch @ Nick Tikhonov](https://www.ntik.me/posts/voice-agent).]]>
            </summary>
            <updated>2026-03-03T13:11:31+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11988</id>
            <title type="text"><![CDATA[Superset]]></title>
            <link rel="alternate" href="https://superset.sh/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11988"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The Terminal for Coding Agents.

IDE for the AI Agents Era - Run an army of Claude Code, Codex, etc. on your machine.
Superset is a turbocharged terminal that allows you to run any CLI coding agents along with the tools to 10x your development workflow.

- [Superset @ GitHub](https://github.com/superset-sh/superset).]]>
            </summary>
            <updated>2026-03-02T12:51:19+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11977</id>
            <title type="text"><![CDATA[Onlook]]></title>
            <link rel="alternate" href="https://www.onlook.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11977"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The Cursor for Designers • An Open-Source AI-First Design tool • Visually build, style, and edit your React App with AI.

- [Onlook @ GitHub](https://github.com/onlook-dev/onlook).

Related contents:

- [Onlook - Fini les allers-retours entre Figma et le code @ Korben :fr:](https://korben.info/onlook-dev.html).]]>
            </summary>
            <updated>2026-03-02T10:08:42+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11957</id>
            <title type="text"><![CDATA[Donut-Hole]]></title>
            <link rel="alternate" href="https://github.com/santhoshjanan/donut-hole" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11957"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[An AI-powered sidecar for Pi-hole that classifies the domains passing through your network, lets you review them, and exports a custom blocklist back to Pi-hole. It does not replace Pi-hole — it works alongside it.

 Pi-hole handles your DNS blocking as usual. Donut-Hole pulls the domains Pi-hole has seen, classifies them using an LLM, and gives you a UI to review, approve, or block them. Decisions are exported as a hosts-format blocklist you add to Pi-hole. Over time it learns from your decisions using vector embeddings.]]>
            </summary>
            <updated>2026-02-27T14:05:15+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11928</id>
            <title type="text"><![CDATA[Caterpillar]]></title>
            <link rel="alternate" href="https://caterpillar.alice.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11928"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Caterpillar is a security scanning library for AI agent skill files (e.g., Claude Code skills) for dangerous or malicious behavior.

Security scanner for AI agent skills. Scans for malicious patterns before you install.

- [Caterpillar @ GitHub](https://github.com/alice-dot-io/caterpillar).]]>
            </summary>
            <updated>2026-02-26T11:14:59+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11926</id>
            <title type="text"><![CDATA[RedAmon]]></title>
            <link rel="alternate" href="https://github.com/samugit83/redamon" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11926"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Unmask the hidden before the world does.

An AI-powered agentic red team framework that automates offensive security operations, from reconnaissance to exploitation to post-exploitation, with zero human intervention.]]>
            </summary>
            <updated>2026-02-26T11:11:29+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11906</id>
            <title type="text"><![CDATA[Codeplain]]></title>
            <link rel="alternate" href="https://www.codeplain.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11906"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[spec-driven, production-ready code generation.

- [Codeplain @ GitHub](https://github.com/Codeplain-ai/codeplain).

Related contents:

- [The uncomfortable truth about vibe coding @ RedHat Developer](https://developers.redhat.com/articles/2026/02/17/uncomfortable-truth-about-vibe-coding).]]>
            </summary>
            <updated>2026-02-24T07:18:41+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11902</id>
            <title type="text"><![CDATA[MCPorter 🧳]]></title>
            <link rel="alternate" href="http://mcporter.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11902"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Call MCPs via TypeScript, masquerading as simple TypeScript API. Or package them as cli. 
TypeScript runtime, CLI, and code-generation toolkit for the Model Context Protocol.

MCPorter helps you lean into the &amp;quot;code execution&amp;quot; workflows highlighted in Anthropic&amp;#039;s Code Execution with MCP guidance: discover the MCP servers already configured on your system, call them directly, compose richer automations in TypeScript, and mint single-purpose CLIs when you need to share a tool. All of that works out of the box -- no boilerplate, no schema spelunking.

- [MCPorter @ GitHub](https://github.com/steipete/mcporter/).

Related contents:

- [Pi: The Minimal Agent Within OpenClaw @ Armin Ronacher&amp;#039;s Thoughts and Writings](https://lucumr.pocoo.org/2026/1/31/pi/).]]>
            </summary>
            <updated>2026-02-23T13:03:20+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11901</id>
            <title type="text"><![CDATA[GitNexus]]></title>
            <link rel="alternate" href="https://gitnexus.vercel.app/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11901"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The Zero-Server Code Intelligence Engine - GitNexus is a client-side knowledge graph creator that runs entirely in your browser. Drop in a GitHub repo or ZIP file, and get an interactive knowledge graph wit a built in Graph RAG Agent. Perfect for code exploration 

- [GitNexus @ GitHub](https://github.com/abhigyanpatwari/GitNexus).]]>
            </summary>
            <updated>2026-02-23T12:55:25+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11879</id>
            <title type="text"><![CDATA[VillageSQL]]></title>
            <link rel="alternate" href="https://villagesql.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11879"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[VillageSQL is the Innovation Platform for MySQL.
A drop-in replacement for MySQL with extensions for the agentic AI era.

- [VillageSQL @ GitHub](https://github.com/villagesql/villagesql-server).

Related contents:

- [Introducing VillageSQL: A New Path for MySQL in the Agentic AI Era @ VillageSQL](https://villagesql.com/blog/introducing-villagesql/).
- [Roadmap: A new path for MySQL @ VillageSQL](https://villagesql.com/roadmap).
- [Extending MySQL with VillageSQL @ Max De Marzi](https://maxdemarzi.com/2026/05/21/extending-mysql-with-villagesql/).]]>
            </summary>
            <updated>2026-06-01T05:56:44+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11852</id>
            <title type="text"><![CDATA[roam]]></title>
            <link rel="alternate" href="https://github.com/Cranot/roam-code" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11852"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Instant codebase comprehension for AI coding agents — semantic graph, algorithm anti-pattern detection, architecture health. 56 commands, 22 languages, 100% local.

Roam pre-indexes your codebase into a semantic graph -- symbols, dependencies, call graphs, architecture, and git history -- stored in a local SQLite DB. Agents query it via CLI instead of repeatedly grepping files and guessing structure.]]>
            </summary>
            <updated>2026-02-18T13:17:24+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11840</id>
            <title type="text"><![CDATA[Chorus]]></title>
            <link rel="alternate" href="https://chorus.sh/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11840"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[All the AI, on your Mac.

Chat with o3, Claude, Gemini, DeepSeek, and others all at once. The best models, as soon as they come out, in one open source app.

- [Chorus @ GitHub](https://github.com/meltylabs/chorus).

Related contents:

- [Episode \#116: \#define: sheer resistance @  Changelog &amp;amp; Friends](https://changelog.com/friends/116).]]>
            </summary>
            <updated>2026-02-17T06:59:49+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11833</id>
            <title type="text"><![CDATA[Lingoku]]></title>
            <link rel="alternate" href="https://lingoku.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11833"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Learn Languages While You Watch.
No More Memorizing.

Turn YouTube, Netflix, and Bilibili into your personal language tutor. Just watch naturally, and let AI help you understand and learn new words instantly.

Related contents:

- [Lingoku - L&amp;#039;extension qui transforme votre navigation en cours de japonais @ Korben :fr:](https://korben.info/lingoku-apprendre-japonais-extension-chrome-firefo.html).]]>
            </summary>
            <updated>2026-02-16T09:37:00+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11819</id>
            <title type="text"><![CDATA[Skill Scanner]]></title>
            <link rel="alternate" href="https://github.com/cisco-ai-defense/skill-scanner" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11819"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Security Scanner for Agent Skills.

A security scanner for AI Agent Skills that detects prompt injection, data exfiltration, and malicious code patterns. Combines pattern-based detection (YAML + YARA), LLM-as-a-judge, and behavioral dataflow analysis for comprehensive threat detection.

Related contents:

- [Personal AI Agents like OpenClaw Are a Security Nightmare @ Cisco Blogs](https://blogs.cisco.com/ai/personal-ai-agents-like-openclaw-are-a-security-nightmare).]]>
            </summary>
            <updated>2026-02-16T06:07:13+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11805</id>
            <title type="text"><![CDATA[Antfarm]]></title>
            <link rel="alternate" href="https://www.antfarm.cool/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11805"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Build your agent team in OpenClaw with one command.

You don&amp;#039;t need to hire a dev team. You need to define one. Antfarm gives you a team of specialized AI agents — planner, developer, verifier, tester, reviewer — that work together in reliable, repeatable workflows. One install. Zero infrastructure.

- [Antfarm @ GitHub](https://github.com/snarktank/antfarm).

Related contents:

- [Antfarm Patterns: Orchestrating Specialized Agent Teams for Compound Engineering @ Vinci Rufus](https://www.vincirufus.com/posts/antfarm-patterns-orchestrating-specialized-agent-teams/).]]>
            </summary>
            <updated>2026-02-13T13:04:37+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11797</id>
            <title type="text"><![CDATA[Distill]]></title>
            <link rel="alternate" href="https://distill.siddhantkhare.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11797"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Context window optimization for LLMs.
Reliable LLM outputs start with clean context.

A reliability layer for LLM context. Deterministic deduplication that removes redundancy before it reaches your model.
Less redundant data. Lower costs. Faster responses.
More efficient &amp;amp; deterministic results.

- [Distill @ GitHub](https://github.com/Siddhant-K-code/distill).

Related contents:

- [AI fatigue is real and nobody talks about it @ Siddhant Khare](https://siddhantkhare.com/writing/ai-fatigue-is-real).]]>
            </summary>
            <updated>2026-02-13T09:30:53+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11787</id>
            <title type="text"><![CDATA[Burp AI Agent]]></title>
            <link rel="alternate" href="https://burp-ai-agent.six2dez.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11787"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The bridge between Burp Suite and modern AI.

Burp AI Agent is an extension for Burp Suite that integrates AI capabilities into your security workflow.

 Burp Suite extension that adds built-in MCP tooling, AI-assisted analysis, privacy controls, passive and active scanning and more 

- [Burp AI Agent @ GitHub](https://github.com/six2dez/burp-ai-agent).

Related contents:

- [Erreur 403 | \#63 :fr:](https://newsletter.erreur403.fr/p/erreur-403-63).]]>
            </summary>
            <updated>2026-02-12T09:34:20+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11779</id>
            <title type="text"><![CDATA[Showboat]]></title>
            <link rel="alternate" href="https://github.com/simonw/showboat" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11779"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Create executable demo documents that show and prove an agent&amp;#039;s work.

Showboat helps agents build markdown documents that mix commentary, executable code blocks, and captured output. These documents serve as both readable documentation and reproducible proof of work. A verifier can re-execute all code blocks and confirm the outputs still match.

Related contents:

- [Introducing Showboat and Rodney, so agents can demo what they’ve built @ Simon Willison’s Weblog](https://simonwillison.net/2026/Feb/10/showboat-and-rodney/).
- [Two new Showboat tools: Chartroom and datasette-showboat @ Simon Willison’s Weblog](https://simonwillison.net/2026/Feb/17/chartroom-and-datasette-showboat/).
- [Linear walkthroughs @ Simon Willison’s Weblog](https://simonwillison.net/guides/agentic-engineering-patterns/linear-walkthroughs/).]]>
            </summary>
            <updated>2026-02-25T12:49:36+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11777</id>
            <title type="text"><![CDATA[Shannon]]></title>
            <link rel="alternate" href="https://github.com/KeygraphHQ/shannon" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11777"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Shannon is your fully autonomous AI pentester.

Shannon’s job is simple: break your web app before anyone else does.
The Red Team to your vibe-coding Blue team.
Every Claude (coder) deserves their Shannon.

 Fully autonomous AI hacker to find actual exploits in your web apps. Shannon has achieved a 96.15% success rate on the hint-free, source-aware XBOW Benchmark.

Related contents:

- [Shannon - L&amp;#039;IA qui pentest votre code toute seule @ Korben :fr:](https://korben.info/shannon-pentester-ia-autonome.html).]]>
            </summary>
            <updated>2026-02-16T09:34:32+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11767</id>
            <title type="text"><![CDATA[Personal AI Infrastructure]]></title>
            <link rel="alternate" href="https://github.com/danielmiessler/Personal_AI_Infrastructure" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11767"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Agentic AI Infrastructure for magnifying HUMAN capabilities.  

PAI is a Personalized AI Platform designed to magnify your capabilities.

It&amp;#039;s designed for humans most of all, but can be used by teams, companies, or Federations of Planets desiring to be better versions of themselves.

The scale of the entity doesn&amp;#039;t matter: It&amp;#039;s a system for understanding, articulating, and realizing its principal&amp;#039;s goals using a full-featured Agentic AI Platform.

Related contents:

- [A Deepdive on my Personal AI Infrastructure (PAI v2.0, December 2025) @ Unsupervised Learning&amp;#039;s YouTube](https://www.youtube.com/watch?v=Le0DLrn7ta0).
- [Personal AI Infrastructure - L&amp;#039;agent intelligent qui vous connaît vraiment @ Korben :fr:](https://korben.info/personal-ai-infrastructure.html).]]>
            </summary>
            <updated>2026-02-09T16:24:24+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11766</id>
            <title type="text"><![CDATA[Skills Catalog for Codex]]></title>
            <link rel="alternate" href="https://github.com/openai/skills" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11766"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Agent Skills are folders of instructions, scripts, and resources that AI agents can discover and use to perform at specific tasks. Write once, use everywhere.

Codex uses skills to help package capabilities that teams and individuals can use to complete specific tasks in a repeatable way. This repository catalogs skills for use and distribution with Codex.]]>
            </summary>
            <updated>2026-02-09T16:19:28+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11761</id>
            <title type="text"><![CDATA[MrRSS]]></title>
            <link rel="alternate" href="https://mrrss.ch3nyang.top/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11761"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Read Smarter with AI.

A modern, cross-platform, and free AI RSS reader.

- [MrRSS @ GitHub](https://github.com/WCY-dt/MrRSS).

Related contents:

- [MrRSS – Un lecteur RSS avec résumé &amp;amp; traduction IA intégrés @ Korben :fr:](https://korben.info/mrrs-lecteur-rss-moderne-ia.html).]]>
            </summary>
            <updated>2026-02-09T09:14:30+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11720</id>
            <title type="text"><![CDATA[God&amp;#039;s Eye]]></title>
            <link rel="alternate" href="https://github.com/Vyntral/god-eye" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11720"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[AI-powered subdomain enumeration tool with local LLM analysis via Ollama - 100% private, zero API costs.

God&amp;#039;s Eye is a powerful, ultra-fast subdomain enumeration and reconnaissance tool written in Go. It combines multiple passive sources with active DNS brute-forcing and comprehensive security checks to provide a complete picture of a target&amp;#039;s attack surface.

Related contents:

- [Newsletter du 19 Janvier 2026 @ Rudeops :fr:](https://www.rudeops.com/newsletter/2026-01-19-rudeops-newsletter/).]]>
            </summary>
            <updated>2026-02-06T10:17:19+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11710</id>
            <title type="text"><![CDATA[🌊 fluid.sh]]></title>
            <link rel="alternate" href="https://www.fluid.sh/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11710"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Autonomous AI Agents for Infrastructure.
Claude Code for infrastructure. Debug, act, and audit everything Fluid does on your infrastructure. 

 Fluid is a terminal agent that do work on production infrastructure like VMs/K8s cluster/etc. by making sandbox clones of the infrastructure for AI agents to work on, allowing the agents to run commands, test connections, edit files, and then generate Infra-as-code like an Ansible Playbook to be applied on production. 

- [🌊 fluid.sh @ GitHub](https://github.com/aspectrr/fluid.sh).]]>
            </summary>
            <updated>2026-02-05T13:10:46+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11701</id>
            <title type="text"><![CDATA[Offensive Security MCP Servers]]></title>
            <link rel="alternate" href="https://github.com/FuzzingLabs/mcp-security-hub" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11701"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Production-ready, Dockerized MCP (Model Context Protocol) servers for offensive security tools. Enable AI assistants like Claude to perform security assessments, vulnerability scanning, and binary analysis.]]>
            </summary>
            <updated>2026-02-05T09:50:32+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11696</id>
            <title type="text"><![CDATA[Kthena]]></title>
            <link rel="alternate" href="https://kthena.volcano.sh/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11696"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Kubernetes-native AI serving platform for scalable model serving. 

- [Kthena @ GitHub](https://github.com/volcano-sh/kthena).

Related contents:

- [Introducing Kthena: LLM inference for the cloud native era @ CNCF](https://www.cncf.io/blog/2026/01/28/introducing-kthena-llm-inference-for-the-cloud-native-era/).]]>
            </summary>
            <updated>2026-02-05T08:12:24+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11692</id>
            <title type="text"><![CDATA[Systematically Improving RAG Applications]]></title>
            <link rel="alternate" href="https://567-labs.github.io/systematically-improving-rag/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11692"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Most RAG implementations struggle in production because teams focus on model selection and prompt engineering while overlooking the fundamentals: measurement, feedback, and systematic improvement.

This guide presents practical frameworks for building RAG systems that become more valuable over time through continuous learning and data-driven optimization.

- [Systematically Improving RAG Applications @ GitHub](https://github.com/567-labs/systematically-improving-rag/).]]>
            </summary>
            <updated>2026-02-03T13:23:09+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11687</id>
            <title type="text"><![CDATA[Tokentap]]></title>
            <link rel="alternate" href="https://github.com/jmuncor/tokentap?utm_source=changelog-news" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11687"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Intercept LLM API traffic and visualize token usage in a real-time terminal dashboard. Track costs, debug prompts, and monitor context window usage across your AI development sessions. 

tokentap tracks token usage for LLM CLI tools with a live terminal dashboard. See exactly how many tokens you&amp;#039;re using in real-time.]]>
            </summary>
            <updated>2026-02-03T07:00:22+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11668</id>
            <title type="text"><![CDATA[Volition]]></title>
            <link rel="alternate" href="https://github.com/AIndoria/volition" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11668"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[This is a public, sanitized version of my Abiverse repository for people to use and run their own Abes.

Volition (fondly referred to me as the Abiverse) is a self-hosted, multi-agent system designed to run persistent, self-replicating autonomous LLM-based agents (&amp;quot;Abes&amp;quot;) inside isolated Linux containers. These are not chatbots, but I have aimed for them to be long-lived system processes with memory, tools, and constrained authority over real machines. These are supposed to be the &amp;#039;semi-intelligent layer&amp;#039; between you and your homelab.

Volition has been running continuously in my personal infrastructure with multiple agents for more than a month now. However, this public release is new and has not yet been exercised end-to-end by external users. Expect rough edges in: setup and documentation flow, first-run ergonomics, and non-default configurations Core architecture and invariants are stable, but installation paths will be refined over the next few days as this release is tested in the open.

Related contents:

- [Episode 652: Have Your Bot Call My Bot @ Linux Unplugged](https://linuxunplugged.com/652).]]>
            </summary>
            <updated>2026-02-02T06:56:43+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11665</id>
            <title type="text"><![CDATA[Text2SQirreL 🐿️]]></title>
            <link rel="alternate" href="https://github.com/distil-labs/distil-text2sql" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11665"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Query your data in plain English.

Turn natural language questions into SQL queries with a small, local model that matches cloud LLM accuracy.

We fine-tuned a small language model to convert plain English questions into executable SQL queries. Because it&amp;#039;s small, you can run it locally on your own machine, no API keys, no cloud dependencies, full privacy. Load your CSV files, ask questions, get answers.]]>
            </summary>
            <updated>2026-02-02T06:33:41+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11664</id>
            <title type="text"><![CDATA[multiclaude]]></title>
            <link rel="alternate" href="https://github.com/dlorenc/multiclaude" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11664"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Why tell Claude what to do when you can tell Claude to tell Claude what to do?

Multiple Claude Code agents. One repo. Controlled chaos.

multiclaude spawns autonomous Claude Code instances that coordinate, compete, and collaborate on your codebase. Each agent gets its own tmux window and git worktree. You watch. They work. PRs appear.]]>
            </summary>
            <updated>2026-02-02T06:32:27+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11651</id>
            <title type="text"><![CDATA[PageIndex]]></title>
            <link rel="alternate" href="https://pageindex.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11651"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Human-like Document AI

PageIndex is a vectorless, reasoning-based RAG engine that mirrors how humans read, delivering traceable, explainable, and context-aware retrieval, without vector databases or chunking.

- [PageIndex @ GitHub](https://github.com/VectifyAI/PageIndex).]]>
            </summary>
            <updated>2026-01-30T12:52:33+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11639</id>
            <title type="text"><![CDATA[Sec-Context]]></title>
            <link rel="alternate" href="https://arcanum-sec.github.io/sec-context/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11639"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[AI Code Security Anti-Patterns distilled from 150+ sources to help LLMs generate safer code. 

A comprehensive security reference distilled from 150+ sources to help LLMs generate safer code.

- [Sec-Context @ GitHub](https://github.com/Arcanum-Sec/sec-context).

Related contents:

- [Erreur 403 | #61 :fr:](https://newsletter.erreur403.fr/p/erreur-403-61).]]>
            </summary>
            <updated>2026-01-29T11:49:17+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11636</id>
            <title type="text"><![CDATA[Toad]]></title>
            <link rel="alternate" href="https://www.batrachian.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11636"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Universal AI Terminal Interface.

Toad is an interface to coding agents, such as Claude, Gemini, Codex, OpenHand, and many more.
Toad blends a traditional shell based workflow and powerful agentic AI, with an intuitive Terminal User Interface.

- [Toad](https://github.com/batrachianai/toad).

Related contents:

- [Introducing Claude Chic @ Matthew Rocklin](https://matthewrocklin.com/introducing-claude-chic/).]]>
            </summary>
            <updated>2026-01-28T13:19:58+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11634</id>
            <title type="text"><![CDATA[MCP Apps Extension]]></title>
            <link rel="alternate" href="https://modelcontextprotocol.github.io/ext-apps/api/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11634"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[This repo contains the SDK and specification for MCP Apps Extension (SEP-1865).

- [@modelcontextprotocol/ext-apps @ GitHub](https://github.com/modelcontextprotocol/ext-apps).

Related contents:

- [MCP Apps: Extending servers with interactive user interfaces @ Model Context Protocol Blog](https://blog.modelcontextprotocol.io/posts/2025-11-21-mcp-apps/).
- [From Prompts to Clicks: Shipping MCP Apps in Production @ Monday Engineering](https://engineering.monday.com/from-prompts-to-clicks-shipping-mcp-apps-in-production/).]]>
            </summary>
            <updated>2026-01-28T13:09:33+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11633</id>
            <title type="text"><![CDATA[VibeFigma]]></title>
            <link rel="alternate" href="https://vibeflow.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11633"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Figma to React Converter.

Transform your Figma designs into production-ready React components with Tailwind CSS automatically.

- [VibeFigma @ GitHub](https://github.com/vibeflowing-inc/vibe_figma).]]>
            </summary>
            <updated>2026-01-27T13:00:48+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11629</id>
            <title type="text"><![CDATA[PaddleOCR :cn:]]></title>
            <link rel="alternate" href="https://www.paddleocr.ai/latest/en/index.html" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11629"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages. 

PaddleOCR is an industry-leading, production-ready OCR and document AI engine, offering end-to-end solutions from text extraction to intelligent document understanding

- [PaddleOCR @ GitHub](https://github.com/PaddlePaddle/PaddleOCR).

Related contents:

- [Episode \#125: The state of homelab tech (2026) @ Changelog &amp;amp; Friends](https://changelog.com/friends/125).]]>
            </summary>
            <updated>2026-01-27T07:12:46+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11618</id>
            <title type="text"><![CDATA[Co-do]]></title>
            <link rel="alternate" href="https://co-do.xyz/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11618"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Cowork-like experience in the browser using filesystem api.

An AI-powered file system manager built with the File System Access API. Co-do lets you select a folder on your local machine and use AI to perform operations on the files within.

- [Co-do @ GitHub](https://github.com/PaulKinlan/Co-do/).

Related contents:

- [the browser is the sandbox @ AI Focus](https://aifoc.us/the-browser-is-the-sandbox/).]]>
            </summary>
            <updated>2026-01-26T13:04:08+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11617</id>
            <title type="text"><![CDATA[OpenClaw (Moltbot, Clawdbot)]]></title>
            <link rel="alternate" href="https://openclaw.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11617"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Personal AI Assistant. The AI that actually does things.
 Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 

Clears your inbox, sends emails, manages your calendar, checks you in for flights.
All from WhatsApp, Telegram, or any chat app you already use. 

Clawdbot is a personal AI assistant you run on your own devices. It answers you on the channels you already use (WhatsApp, Telegram, Slack, Discord, Google Chat, Signal, iMessage, Microsoft Teams, WebChat), plus extension channels like BlueBubbles, Matrix, Zalo, and Zalo Personal. It can speak and listen on macOS/iOS/Android, and can render a live Canvas you  OpenClaw Minimum Viable Agent Cheatsheet control. The Gateway is just the control plane — the product is the assistant.

- [OpenClaw @ GitHub](https://github.com/openclaw/openclaw).

Related contents:

- [OpenClaw Security Engineer&amp;#039;s Cheat Sheet @ Semgrep](https://semgrep.dev/blog/2026/openclaw-security-engineers-cheat-sheet/).
- [Awesome OpenClaw Use Cases @ GitHub](https://github.com/hesamsheikh/awesome-openclaw-usecases).
- [« Un désastre se profile à l’horizon » : pourquoi le phénomène Clawdbot inquiète autant qu’il fascine ? @ Numerama :fr:](https://www.numerama.com/cyberguerre/2167007-un-desastre-se-profile-a-lhorizon-pourquoi-le-phenomene-clawdbot-inquiete-autant-quil-fascine.html).
- [Clawdbot sheds skin to become Moltbot, can&amp;#039;t slough off security issues @ The Register](https://www.theregister.com/2026/01/27/clawdbot_moltbot_security_concerns/).
- [clawdbot (moltbot? openmolt?) is a security nightmare @ Low Level&amp;#039;s YouTube](https://www.youtube.com/watch?v=kSno1-xOjwI).
- [Episode 652: Have Your Bot Call My Bot @ Linux Unplugged](https://linuxunplugged.com/652).
- [Clawdbot (Moltbot) Has 100K Stars. It Has Zero AI @ Jake Van Clief&amp;#039;s YouTube](https://www.youtube.com/watch?v=bQXi5Nd8c40).
- [Unless That Claw Is The Famous OpenClaw @ Don&amp;#039;t Worry About the Vase](https://thezvi.wordpress.com/2026/02/03/unless-that-claw-is-the-famous-openclaw/).
- [OpenClaw is What Apple Intelligence Should Have Been @ Jake Quist](https://www.jakequist.com/thoughts/openclaw-is-what-apple-intelligence-should-have-been).
- [Saga OpenClaw (ClawdBot, Moltbot) : enjeux techniques, juridiques et éthiques d’un assistant IA open source @ LinuxFr.org :fr:](https://linuxfr.org/news/saga-openclaw-clawdbot-moltbot-enjeux-techniques-juridiques-et-ethiques-d-un-assistant-ia-open-source).
- [Episode \#126: Natural born SaaS killers @ Changelog &amp;amp; Friends](https://changelog.com/friends/126).
- [OpenClaw Is a Preview of Why Governance Matters More Than Ever @ CloudBees](https://www.cloudbees.com/blog/openclaw-is-a-preview-of-why-governance-matters-more-than-ever).
- [An AI Agent Published a Hit Piece on Me @ The Shamblog](https://theshamblog.com/an-ai-agent-published-a-hit-piece-on-me/).
- [OpenClaw, OpenAI and the future @ Peter Steinberger](https://steipete.me/posts/2026/openclaw).
- [🦞 CRACKING THE CLAW @ CTO Lunch NYC](https://ctolunchnyc.substack.com/p/cracking-the-claw).
- [\#126 - 🤖 News Janvier 2026 : Open Code, Qwen Code et un peu de code @ Double Slash :fr:](https://double-slash.dev/podcasts/news-jan26/).
- [Pi: The Minimal Agent Within OpenClaw @ Armin Ronacher&amp;#039;s Thoughts and Writings](https://lucumr.pocoo.org/2026/1/31/pi/).
- [AI tool OpenClaw wipes the inbox of Meta&amp;#039;s AI Alignment director despite repeated commands to stop — executive had to manually terminate the AI to stop the bot from continuing to erase data @ tom&amp;#039;s Hardware](https://www.tomshardware.com/tech-industry/artificial-intelligence/openclaw-wipes-inbox-of-meta-ai-alignment-director-executive-finds-out-the-hard-way-how-spectacularly-efficient-ai-tool-is-at-maintaining-her-inbox).
- [OpenClaw’s Top Skill is a Malware that Stole SSH Keys and Opened Reverse Shells in 1,184 Packages @ Cyber Security News](https://cybersecuritynews.com/openclaws-top-skill-malware/).
- [Why Trying to Secure OpenClaw is Ridiculous @ aikido](https://www.aikido.dev/blog/why-trying-to-secure-openclaw-is-ridiculous).
- [The OpenClaw Necropsy: Agency, Apathy, and the Great Enclosure @ the mind of ai](https://the-mind-of-ai.com/posts/openclaw-necropsy/).
- [OpenClaw Vulnerability Allowed Websites to Hijack AI Agents @ Security Week](https://www.securityweek.com/openclaw-vulnerability-allowed-malicious-websites-to-hijack-ai-agents/).
- [Running OpenClaw safely: identity, isolation, and runtime risk @ Microsoft Security](https://www.microsoft.com/en-us/security/blog/2026/02/19/running-openclaw-safely-identity-isolation-runtime-risk/).
- [OpenClaw Surpasses React to Become the Most-Starred Software Project on GitHub @ GitHub Star history blog](https://www.star-history.com/blog/openclaw-surpasses-react-most-starred-software).
- [Meet the Startup That Used AI and OpenClaw to Automate Its Own Developers @ The Wall Street Journal](https://www.wsj.com/tech/ai/meet-the-startup-that-used-ai-and-openclaw-to-automate-its-own-developers-9e733351).
- [OpenClaw has 500,000 instances and no enterprise kill switch @ Venture Beat](https://venturebeat.com/security/openclaw-500000-instances-no-enterprise-kill-switch).
- [OpenClaw Minimum Viable Agent Cheatsheet @ macebake&amp;#039;s GitHub Gist](https://gist.github.com/macebake/d2b1389e2daa10d07e74dd9b5125d5dc).
- [OpenClaw Minimum Viable Agent Quick Start @ macebake&amp;#039;s GitHub Gist](https://gist.github.com/macebake/a83fad1a6ec8fcf96a2eb88790197e92).
- [OpenClaw for Dummies @ Tessl](https://tessl.io/blog/openclaw-for-dummies/).
- [\#80 - Passing the Gourd @ Linux Matters](https://linuxmatters.sh/80/).]]>
            </summary>
            <updated>2026-04-28T19:26:59+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11604</id>
            <title type="text"><![CDATA[Auto Claude]]></title>
            <link rel="alternate" href="https://github.com/AndyMik90/Auto-Claude" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11604"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Autonomous multi-agent coding framework that plans, builds, and validates software for you.

Related contents:

- [Faites de Claude une armée de développeurs à votre service @ Korben :fr:](https://korben.info/transformez-claude-en-une-armee-de-developpeurs-a-votre-service.html).]]>
            </summary>
            <updated>2026-01-26T08:43:31+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11600</id>
            <title type="text"><![CDATA[Wake]]></title>
            <link rel="alternate" href="https://github.com/joemckenney/wake" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11600"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Wake records your terminal sessions so Claude Code can see what you&amp;#039;ve been doing. 

Related contents:

- [Wake - L&amp;#039;outil qui donne de la mémoire à Claude Code @ Korben :fr:](https://korben.info/wake-terminal-recorder-claude-code.html).]]>
            </summary>
            <updated>2026-01-26T08:21:34+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11592</id>
            <title type="text"><![CDATA[Humanizer]]></title>
            <link rel="alternate" href="https://github.com/blader/humanizer" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11592"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Claude Code skill that removes signs of AI-generated writing from text.

Related contents:

- [Wikipedia volunteers spent years cataloging AI tells. Now there’s a plugin to avoid them @ ars Technica](https://arstechnica.com/ai/2026/01/new-ai-plugin-uses-wikipedias-ai-writing-detection-rules-to-help-it-sound-human/).]]>
            </summary>
            <updated>2026-01-26T07:42:01+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11568</id>
            <title type="text"><![CDATA[ticket (tk)]]></title>
            <link rel="alternate" href="https://github.com/wedow/ticket" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11568"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Fast, powerful, git-native ticket tracking in a single bash script. Dependency graphs, priority levels, zero setup. 

The git-backed issue tracker for AI agents. Rooted in the Unix Philosophy, tk is inspired by Joe Armstrong&amp;#039;s Minimal Viable Program with additional quality of life features for managing and querying against complex issue dependency graphs.]]>
            </summary>
            <updated>2026-01-22T16:46:08+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11559</id>
            <title type="text"><![CDATA[rtfmbro-mcp]]></title>
            <link rel="alternate" href="https://github.com/marckrenn/rtfmbro-mcp" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11559"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[rtfmbro provides always-up-to-date, version-specific package documentation as context for coding agents. An alternative to context7]]>
            </summary>
            <updated>2026-01-21T13:55:56+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11555</id>
            <title type="text"><![CDATA[The Agent Skills Directory]]></title>
            <link rel="alternate" href="https://skills.sh/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11555"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Skills are reusable capabilities for AI agents. Install them with a single command to enhance your agents with access to procedural knowledge.

Related contents:

- [MCP, Skills, and Agents @ cramr](https://cra.mr/mcp-skills-and-agents/).
- [\#126 - 🤖 News Janvier 2026 : Open Code, Qwen Code et un peu de code @ Double Slash :fr:](https://double-slash.dev/podcasts/news-jan26/).]]>
            </summary>
            <updated>2026-02-20T07:15:28+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11554</id>
            <title type="text"><![CDATA[syntux]]></title>
            <link rel="alternate" href="https://www.getsyntux.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11554"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[build generative UIs for the web.
Consistent, cacheable generative UIs for the web. 

 syntux is the generative UI library for the web. It lets you build generative UIs that are consistent and flexible. 

- [syntux @ GitHub](https://github.com/puffinsoft/syntux).]]>
            </summary>
            <updated>2026-01-21T12:48:58+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11547</id>
            <title type="text"><![CDATA[Gemini Voyager]]></title>
            <link rel="alternate" href="https://voyager.nagi.fun/en/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11547"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[An all-in-one enhancement suite for Google Gemini - timeline navigation, folder management, prompt library, and chat export in one powerful extension. 

- [Gemini Voyager @ GitHub](https://github.com/Nagi-ovo/gemini-voyager).]]>
            </summary>
            <updated>2026-01-20T13:18:30+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11546</id>
            <title type="text"><![CDATA[Looper]]></title>
            <link rel="alternate" href="https://github.com/nibzard/looper" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11546"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A deterministic, autonomous loop runner for the Codex CLI. It processes exactly one task per iteration from a JSON backlog, with fresh context each run, and keeps a JSONL audit log for traceability.

Related contents:

- [Looper: The AI Junior That Never Forgets the Backlog @ Nikola Balic](https://www.nibzard.com/looper-article/).]]>
            </summary>
            <updated>2026-01-20T13:16:54+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11545</id>
            <title type="text"><![CDATA[LLM Loop]]></title>
            <link rel="alternate" href="https://github.com/nibzard/llm-loop" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11545"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Autonomous task execution plugin for LLM CLI - refactored modular architecture.

llm loop is a powerful plugin for the LLM CLI tool that enables autonomous, goal-oriented task execution. Unlike traditional single-turn LLM interactions, llm loop allows the AI to work persistently towards a goal by making multiple tool calls, analyzing results, and iterating until the task is complete.

Related contents:

- [Looper: The AI Junior That Never Forgets the Backlog @ Nikola Balic](https://www.nibzard.com/looper-article/).]]>
            </summary>
            <updated>2026-01-20T13:17:07+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11544</id>
            <title type="text"><![CDATA[nanolang]]></title>
            <link rel="alternate" href="https://github.com/jordanhubbard/nanolang" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11544"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A tiny experimental language designed to be targeted by coding LLMs.

NanoLang transpiles to C for native performance while providing a clean, modern syntax optimized for both human readability and AI code generation.]]>
            </summary>
            <updated>2026-01-20T13:00:41+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11543</id>
            <title type="text"><![CDATA[Universal Commerce Protocol (UCP)]]></title>
            <link rel="alternate" href="https://ucp.dev/#" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11543"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The common language for platforms, agents and businesses.

UCP defines building blocks for agentic commerce—from discovering and buying to post purchase experiences—allowing the ecosystem to interoperate through one standard, without custom builds. 

- [Universal Commerce Protocol (UCP) @ GitHub](https://github.com/Universal-Commerce-Protocol/ucp).

Related contents:

- [Under the Hood: Universal Commerce Protocol (UCP) @ Google for Developers](https://developers.googleblog.com/under-the-hood-universal-commerce-protocol-ucp/).
- [Google lance un protocole qui va transformer l&amp;#039;achat en ligne, Carrefour fait partie des premiers à l&amp;#039;adopter @ Clubic :fr:](https://www.clubic.com/actualite-594658-google-lance-un-protocole-qui-va-transformer-l-achat-en-ligne-carrefour-fait-partie-des-premiers-a-l-adopter.html).]]>
            </summary>
            <updated>2026-01-20T09:20:59+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11539</id>
            <title type="text"><![CDATA[Laravel Claude Code Plugins]]></title>
            <link rel="alternate" href="https://github.com/laravel/claude-code" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11539"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A collection of Claude Code plugins tailored for PHP / Laravel development.

Related contents:

- [Simplifier son code Laravel avec le plugin Claude Code de Taylor Otwell @ Laravel France :fr:](https://laravel-france.com/posts/simplifier-code-laravel-plugin-claude-code-taylor-otwell).]]>
            </summary>
            <updated>2026-01-20T08:57:06+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11534</id>
            <title type="text"><![CDATA[OpenWork]]></title>
            <link rel="alternate" href="https://openwork.software/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11534"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[An open-source alternative to Claude Cowork, powered by OpenCode.

OpenWork is an extensible, open-source “Claude Work” style system for knowledge workers.
It’s a native desktop app that runs OpenCode under the hood, but presents it as a clean, guided workflow.

- [OpenWork @ GitHub](https://github.com/different-ai/openwork).]]>
            </summary>
            <updated>2026-01-20T06:47:02+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11530</id>
            <title type="text"><![CDATA[MiroThinker]]></title>
            <link rel="alternate" href="https://dr.miromind.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11530"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[MiroThinker is an open source deep research agent optimized for research and prediction. It achieves a 60.2% Avg@8 score on the challenging GAIA benchmark. 

- [MiroThinker @ GitHub](https://github.com/MiroMindAI/MiroThinker).]]>
            </summary>
            <updated>2026-01-19T13:07:11+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11528</id>
            <title type="text"><![CDATA[AionUi]]></title>
            <link rel="alternate" href="https://github.com/iOfficeAI/AionUi" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11528"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[🚀 Cowork with Your AI, Gemini CLI, Claude Code, Codex, Qwen Code, Goose CLI, Auggie, and more.

 Free, local, open-source Cowork for Gemini CLI, Claude Code, Codex, Opencode, Qwen Code, Goose Cli, Auggie, and more | 

If you have installed command-line tools like Gemini CLI, Claude Code, CodeX, Qwen Code, Goose AI, Augment Code, AionUi can automatically detect them and provide a unified graphical interface]]>
            </summary>
            <updated>2026-01-19T12:47:55+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11525</id>
            <title type="text"><![CDATA[OGhidra]]></title>
            <link rel="alternate" href="https://github.com/LLNL/OGhidra" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11525"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[AI-Powered Reverse Engineering with Ghidra.

OGhidra bridges Large Language Models (LLMs) via Ollama with the Ghidra reverse engineering platform, enabling AI-driven binary analysis through natural language. Interact with Ghidra using conversational queries and automate complex reverse engineering workflows. 

Related contents:

- [OGhidra - Dopage à l&amp;#039;IA pour Ghidra en local @ Korben :fr:](https://korben.info/oghidra-dopage-a-lia-pour-ghidra-en-local.html).]]>
            </summary>
            <updated>2026-01-19T08:26:53+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11484</id>
            <title type="text"><![CDATA[Gambit]]></title>
            <link rel="alternate" href="https://github.com/bolt-foundry/gambit" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11484"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Agent harness framework for building, running, and verifying LLM workflows.

Gambit helps you build reliable LLM workflows by composing small, typed “decks”
with clear inputs/outputs and guardrails. Run decks locally, stream traces, and
debug with a built-in UI.]]>
            </summary>
            <updated>2026-01-16T13:03:01+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11483</id>
            <title type="text"><![CDATA[Oh My OpenCode]]></title>
            <link rel="alternate" href="https://github.com/code-yeongyu/oh-my-opencode" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11483"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The Best Agent Harness. Meet Sisyphus: The Batteries-Included Agent that codes like you.]]>
            </summary>
            <updated>2026-01-16T12:59:28+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11482</id>
            <title type="text"><![CDATA[Open Responses]]></title>
            <link rel="alternate" href="https://www.openresponses.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11482"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open Responses is an open-source specification and ecosystem for building multi-provider, interoperable LLM interfaces based on the OpenAI Responses API. It defines a shared schema, and tooling layer that enable a unified experience for calling language models, streaming results, and composing agentic workflows—independent of provider.

- [Open Responses @ GitHub](https://github.com/openresponses/openresponses).]]>
            </summary>
            <updated>2026-01-16T12:56:54+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11473</id>
            <title type="text"><![CDATA[HTML to Markdown MCP Server]]></title>
            <link rel="alternate" href="https://github.com/levz0r/html-to-markdown-mcp" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11473"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[MCP server for converting HTML to Markdown using Turndown.js. Fetch web pages and convert them to clean, formatted Markdown. 

An MCP (Model Context Protocol) server that converts HTML content to Markdown format using Turndown.js.]]>
            </summary>
            <updated>2026-01-15T16:12:06+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11471</id>
            <title type="text"><![CDATA[json-render]]></title>
            <link rel="alternate" href="https://json-render.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11471"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[AI → JSON → UI. AI-generated UI with guardrails.

When users prompt for UI, you need guarantees. json-render gives AI a constrained vocabulary so output is always predictable.

Predictable. Guardrailed. Fast.

Let users generate dashboards, widgets, apps, and data visualizations from prompts — safely constrained to components you define.

- [json-render @ GitHub](https://github.com/vercel-labs/json-render).

Related contents:

- [Components Will Kill Pages @ bitsandbytes.dev](https://bitsandbytes.dev/posts/components-will-kill-pages).]]>
            </summary>
            <updated>2026-02-17T12:47:09+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11470</id>
            <title type="text"><![CDATA[Agent Skills]]></title>
            <link rel="alternate" href="https://agentskills.io/home" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11470"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A simple, open format for giving agents new capabilities and expertise.
Agent Skills are folders of instructions, scripts, and resources that agents can discover and use to do things more accurately and efficiently.

- [Agent Skills @ GitHub](https://github.com/agentskills/agentskills).

Related contents:

- [Vercel&amp;#039;s Agent Skills @ GitHub](https://github.com/vercel-labs/agent-skills).
- [MCP, Skills, and Agents @ cramr](https://cra.mr/mcp-skills-and-agents/).
- [Agent Skills vs. Rules vs. Commands @ builder.io](https://www.builder.io/blog/agent-skills-rules-commands).
- [3 Principles for Designing Agent Skills @ Block Engineering Blog](https://engineering.block.xyz/blog/3-principles-for-designing-agent-skills).
- [Claude Code Skills Are a Massive Security Threat — Greg Pstrucha, Sentry @ Mastra&amp;#039;s YouTube](https://www.youtube.com/watch?v=WNJHMoHTrBU).]]>
            </summary>
            <updated>2026-06-04T05:55:09+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11464</id>
            <title type="text"><![CDATA[WeKnora :cn:]]></title>
            <link rel="alternate" href="https://weknora.weixin.qq.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11464"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[LLM-powered framework for deep document understanding, semantic retrieval, and context-aware answers using RAG paradigm.

It adopts a modular architecture that combines multimodal preprocessing, semantic vector indexing, intelligent retrieval, and large language model inference. At its core, WeKnora follows the RAG (Retrieval-Augmented Generation) paradigm, enabling high-quality, context-aware answers by combining relevant document chunks with model reasoning.

- [WeKnora @ GitHub](https://github.com/Tencent/WeKnora).]]>
            </summary>
            <updated>2026-01-15T06:50:08+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11463</id>
            <title type="text"><![CDATA[Headroom]]></title>
            <link rel="alternate" href="https://github.com/chopratejas/headroom" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11463"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The Context Optimization Layer for LLM Applications.

 Cut your LLM costs by 50-90% without losing accuracy.]]>
            </summary>
            <updated>2026-01-15T06:47:20+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11457</id>
            <title type="text"><![CDATA[mgrep]]></title>
            <link rel="alternate" href="https://www.mgrep.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11457"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Semantic search for agents.

 A calm, CLI-native way to semantically grep everything, like code, images, pdfs and more. 

- [mgrep @ GitHub](https://github.com/mixedbread-ai/mgrep).

Related contents:

- [Mgrep c&amp;#039;est quoi ? @ RayaneRachid&amp;#039;s X](https://nitter.net/RayaneRachid_/status/2008950450931048575).
- [\#161 - Veille tech et l&amp;#039;interview de Jessim @ Quoi de neuf les devs? :fr:](https://happytodev.substack.com/p/quoi-de-neuf-les-devs-161-veille).]]>
            </summary>
            <updated>2026-01-13T14:31:49+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11447</id>
            <title type="text"><![CDATA[Kilo]]></title>
            <link rel="alternate" href="https://kilo.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11447"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Move at Kilo Speed.
Build, ship, and iterate faster with the most popular open source coding agent.

 Kilo is the all-in-one agentic engineering platform. Build, ship, and iterate faster with the most popular open source coding agent. #1 on OpenRouter. 750k+ Kilo Coders. 6.1 trillion tokens/month. 

- [Kilo @ GitHub](https://github.com/Kilo-Org/kilocode).

Related contents:

- [Episode \#672: From GitLab to Kilo Code @ Changelog Interviews](https://changelog.com/podcast/672).]]>
            </summary>
            <updated>2026-01-13T06:46:42+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11433</id>
            <title type="text"><![CDATA[TermsTooLong]]></title>
            <link rel="alternate" href="https://www.termstoolong.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11433"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Understand Privacy &amp;amp; Legal Terms.
Plain-language analysis of Terms &amp;amp; Conditions. Know what you&amp;#039;re agreeing to before you sign up.

Related contents:

- [TermsTooLong - L&amp;#039;outil qui note les CGU que vous ne lisez jamais @ Korben :fr:](https://korben.info/termstoolong-cgu-trop-longues.html).]]>
            </summary>
            <updated>2026-01-12T08:30:25+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11429</id>
            <title type="text"><![CDATA[Orla]]></title>
            <link rel="alternate" href="https://github.com/dorcha-inc/orla" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11429"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A dead-simple unix tool for lightweight open-source local agents.

Orla is a unix tool for running lightweight open-source agents. It is easy to add to a script, use with pipes, or build things on top of.

Related contents:

- [Orla - L&amp;#039;outil CLI qui transforme votre terminal en assistant IA local @ Korben :fr:](https://korben.info/orla-agent-ia-local-cli.html).]]>
            </summary>
            <updated>2026-01-12T08:19:04+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11413</id>
            <title type="text"><![CDATA[Mantic.sh]]></title>
            <link rel="alternate" href="https://github.com/marcoaapfortes/Mantic.sh" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11413"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A structural code search engine for AI agents. Provides sub-500ms file ranking across massive codebases without embeddings, vector databases, or external dependencies.

Mantic is an infrastructure layer designed to remove unnecessary context retrieval overhead for AI agents. It infers intent from file structure and metadata rather than brute-force reading content, enabling retrieval speeds faster than human reaction time.]]>
            </summary>
            <updated>2026-01-07T13:27:30+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11391</id>
            <title type="text"><![CDATA[Claudish]]></title>
            <link rel="alternate" href="https://github.com/MadAppGang/claudish" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11391"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Claude Code. Any Model. The most powerful AI coding agent now speaks every language.

Run Claude Code with any AI model - OpenRouter, Gemini, OpenAI, or local models.

Claudish (Claude-ish) is a CLI tool that allows you to run Claude Code with any AI model by proxying requests through a local Anthropic API-compatible server. Supports OpenRouter (100+ models), direct Google Gemini API, direct OpenAI API, and local models (Ollama, LM Studio, vLLM, MLX).]]>
            </summary>
            <updated>2026-01-06T13:03:24+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11356</id>
            <title type="text"><![CDATA[Gas Town]]></title>
            <link rel="alternate" href="https://github.com/steveyegge/gastown" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11356"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Multi-agent orchestrator for Claude Code. Track work with convoys; sling to agents.

Related contents:

- [Welcome to Gas Town @ Steve Yegge&amp;#039;s Medium](https://steve-yegge.medium.com/welcome-to-gas-town-4f25ee16dd04).
- [Gas Town Decoded @ Andrew Lilley Brinker](https://www.alilleybrinker.com/mini/gas-town-decoded/).
- [How to think about Gas Town @ Steve Klabnik](https://steveklabnik.com/writing/how-to-think-about-gas-town/).
- [Agent Psychosis: Are We Going Insane? @ Armin Ronacher&amp;#039;s Thoughts and Writings](https://lucumr.pocoo.org/2026/1/18/agent-psychosis/).
- [Gas Town’s Agent Patterns, Design Bottlenecks, and Vibecoding at Scale @ Maggie Appleton](https://maggieappleton.com/gastown/).
- [Move Over Gas Town, Claude Has First-Party Agent Orchestration @ Andrew Lilley Brinker](https://www.alilleybrinker.com/mini/move-over-gas-town/).]]>
            </summary>
            <updated>2026-02-06T14:19:31+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11352</id>
            <title type="text"><![CDATA[ensue]]></title>
            <link rel="alternate" href="https://ensue.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11352"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[shared memory for agents. Get smarter alongside your AI.

Your intelligence shouldn&amp;#039;t reset every conversation. Ensue is a persistent knowledge tree that grows with you - what you learn today enriches tomorrow&amp;#039;s reasoning.

- [Ensue Memory Network @ GitHub](https://github.com/mutable-state-inc/ensue-skill).]]>
            </summary>
            <updated>2026-01-05T06:58:19+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11351</id>
            <title type="text"><![CDATA[Worktrunk]]></title>
            <link rel="alternate" href="https://worktrunk.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11351"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Worktrunk is a CLI for Git worktree management, designed for parallel AI agent workflows.

Worktrunk&amp;#039;s three core commands make worktrees as easy as branches. Plus, Worktrunk has a bunch of quality-of-life features to simplify working with many parallel changes, including hooks to automate local workflows.

- [Worktrunk @ GitHub](https://github.com/max-sixty/worktrunk).]]>
            </summary>
            <updated>2026-01-05T06:51:57+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11350</id>
            <title type="text"><![CDATA[NERD]]></title>
            <link rel="alternate" href="https://www.nerd-lang.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11350"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The World&amp;#039;s First LLM-Native Language.
the first intermediate language designed for machine authorship.

- [NERD @ GitHub](https://github.com/Nerd-Lang/nerd-lang-core).]]>
            </summary>
            <updated>2026-01-05T06:50:34+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11346</id>
            <title type="text"><![CDATA[PentestAgent]]></title>
            <link rel="alternate" href="https://github.com/GH05TCREW/pentestagent" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11346"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[AI Penetration Testing.

PentestAgent is an AI agent framework for black-box security testing, supporting bug bounty, red-team, and penetration testing workflows.]]>
            </summary>
            <updated>2025-12-31T07:54:16+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11329</id>
            <title type="text"><![CDATA[Continuous Claude]]></title>
            <link rel="alternate" href="https://github.com/parcadei/Continuous-Claude-v2" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11329"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Session continuity, token-efficient MCP execution, and agentic workflows for Claude Code.

 Context management for Claude Code. Hooks maintain state via ledgers and handoffs. MCP execution without context pollution. Agent orchestration with isolated context windows.]]>
            </summary>
            <updated>2025-12-29T12:38:16+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11325</id>
            <title type="text"><![CDATA[Word GPT Plus]]></title>
            <link rel="alternate" href="https://github.com/Kuingsmile/word-GPT-Plus?" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11325"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Word GPT Plus is a word add-in which integrates the AI&amp;amp;Agent into Microsoft Word. 

Word GPT Plus seamlessly integrates AI and Agent directly into Microsoft Word, allowing you to generate, translate, summarize, and polish text directly within your documents. Enhance your writing workflow without leaving your Word environment.]]>
            </summary>
            <updated>2025-12-29T08:41:40+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11323</id>
            <title type="text"><![CDATA[sisu ⚡]]></title>
            <link rel="alternate" href="https://github.com/semonte/sisu" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11323"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Your AWS, as a filesystem.

sisu mounts AWS resources as a local filesystem. Use the tools you already know - grep, cat, diff, vim - instead of wrestling with JSON and the AWS CLI.

AI-friendly by design: AI tools can&amp;#039;t SSH into servers or run interactive AWS CLI sessions. But with sisu, your entire AWS infrastructure becomes simple file paths that any AI can read. Remote EC2 filesystems are accessible at ec2/&amp;lt;instance&amp;gt;/fs/ - letting AI browse /var/log, /etc, and any file on your instances without SSH.

Related contents:

- [Sisu - Quand votre AWS devient un simple dossier sur votre disque @ Korben :fr:](https://korben.info/sisu-aws-filesystem-fuse-cli-grep.html).]]>
            </summary>
            <updated>2025-12-29T08:36:53+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11314</id>
            <title type="text"><![CDATA[model.yaml]]></title>
            <link rel="alternate" href="https://modelyaml.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11314"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open Description Standard for AI Models.

An open description standard for defining cross-platform, multi-format AI models.

- [model.yaml @ GitHub](https://github.com/modelyaml/modelyaml).]]>
            </summary>
            <updated>2025-12-29T07:33:21+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11313</id>
            <title type="text"><![CDATA[Vibium]]></title>
            <link rel="alternate" href="https://vibium.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11313"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Browser automation without the drama.
 Browser automation for AI agents and humans.

Vibium is browser automation infrastructure built for AI agents. A single binary handles browser lifecycle, WebDriver BiDi protocol, and exposes an MCP server — so Claude Code (or any MCP client) can drive a browser with zero setup. Works great for AI agents, test automation, and anything else that needs a browser.

- [Vibium @ GitHub](https://github.com/VibiumDev/vibium).]]>
            </summary>
            <updated>2025-12-29T07:30:28+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11310</id>
            <title type="text"><![CDATA[HelixML]]></title>
            <link rel="alternate" href="https://helix.ml/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11310"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[AI Agents on a Private GenAI Stack.

 ♾️ Helix is a private GenAI stack for building AI agents with declarative pipelines, knowledge (RAG), API bindings, and first-class testing. 

- [HelixML @ GitHub](https://github.com/helixml/helix).

Related contents:

- [We Mass-Deployed 15-Year-Old Screen Sharing Technology and It&amp;#039;s Actually Better @ HelixML](https://blog.helix.ml/p/we-mass-deployed-15-year-old-screen).]]>
            </summary>
            <updated>2025-12-24T12:44:57+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11297</id>
            <title type="text"><![CDATA[Newsku]]></title>
            <link rel="alternate" href="https://lamarios.github.io/newsku/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11297"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Your News, Prioritized by AI.

Stop drowning in RSS feeds. Newsku is a self-hosted RSS reader that uses LLMs to sort your items by importance based on your preferences.

 Self-hosted RSS reader that uses LLMs to sort your items by importance based on your preferences. 

- [Newsku @ GitHub](https://github.com/lamarios/newsku).]]>
            </summary>
            <updated>2025-12-23T13:39:28+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11279</id>
            <title type="text"><![CDATA[Destructive Git Command Protection for Claude Code]]></title>
            <link rel="alternate" href="https://github.com/Dicklesworthstone/misc_coding_agent_tips_and_scripts/blob/main/DESTRUCTIVE_GIT_COMMAND_CLAUDE_HOOKS_SETUP.md" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11279"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[On December 17, 2025, an AI agent (Claude) ran git checkout -- on multiple files containing hours of uncommitted work from another agent (Codex). This destroyed the work instantly and silently. The files were eventually recovered from a dangling Git object, but this incident revealed a critical gap: AI agents can execute destructive commands without understanding the consequences.

The AGENTS.md file already forbade such commands, but instructions alone don&amp;#039;t prevent execution. This hook provides mechanical enforcement - the command is blocked before it can run.]]>
            </summary>
            <updated>2025-12-22T13:18:44+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11276</id>
            <title type="text"><![CDATA[Beowulf AI Cluster]]></title>
            <link rel="alternate" href="https://github.com/geerlingguy/beowulf-ai-cluster" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11276"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[AI Cluster deployed with Ansible on Random computers with random capabilities.

With AI getting all the headlines and stock bubbles recently, I thought I&amp;#039;d create a project I can use to test out various distributed AI clustering tools on the various clusters I test.]]>
            </summary>
            <updated>2025-12-22T13:05:32+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11275</id>
            <title type="text"><![CDATA[Cordon]]></title>
            <link rel="alternate" href="https://github.com/calebevans/cordon" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11275"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Reduce logs to their semantic anomalies.

Cordon uses transformer embeddings and density scoring to identify semantically unusual patterns in large log files, reducing massive logs to the most anomalous sections for analysis. Repetitive patterns (even errors) are considered &amp;quot;normal background.&amp;quot; Cordon surfaces unusual, rare, or clustered events that stand out semantically from the bulk of the logs.

Related contents:

- [Cordon - L&amp;#039;outil qui trouve les aiguilles dans vos meules de logs @ Korben :fr:](https://korben.info/cordon-detection-anomalies-logs-transformers.html).]]>
            </summary>
            <updated>2025-12-22T08:36:40+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11273</id>
            <title type="text"><![CDATA[SkillsMP]]></title>
            <link rel="alternate" href="https://skillsmp.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11273"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Agent Skills Marketplace -  Claude, Codex &amp;amp; ChatGPT Skills.

Related contents:

- [SkillsMP - Plus de 26 000 skills Claude à portée de clic @ Korben n :fr:](https://korben.info/skillsmp-marketplace-skills-claude-code-github.html).]]>
            </summary>
            <updated>2025-12-22T08:29:27+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11266</id>
            <title type="text"><![CDATA[Kimi CLI]]></title>
            <link rel="alternate" href="https://github.com/MoonshotAI/kimi-cli" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11266"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Kimi CLI is a new CLI agent that can help you with your software development tasks and terminal operations.]]>
            </summary>
            <updated>2025-12-17T13:03:38+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11264</id>
            <title type="text"><![CDATA[A2UI]]></title>
            <link rel="alternate" href="https://a2ui.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11264"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A Protocol for Agent-Driven Interfaces¶

A2UI enables AI agents to generate rich, interactive user interfaces that render natively across web, mobile, and desktop—without executing arbitrary code. 

- [A2UI @ GitHub](https://github.com/google/A2UI).]]>
            </summary>
            <updated>2025-12-17T12:59:34+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11254</id>
            <title type="text"><![CDATA[PrivacyFirewall]]></title>
            <link rel="alternate" href="https://github.com/privacyshield-ai/privacy-firewall" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11254"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A local AI-powered DLP solution.

PrivacyFirewall is a local-first PII and secrets firewall for AI tools like ChatGPT, Claude, and Gemini.It blocks risky paste events, warns as you type, and (optionally) uses a lightweight on-device Transformer model for deeper PII detection.

- [Privacy Firewall - Le garde fou de vos IA @ Korben :fr:](https://korben.info/privacyfirewall-extension-chrome-bloquer-fuites-do.html).]]>
            </summary>
            <updated>2025-12-16T10:38:54+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11243</id>
            <title type="text"><![CDATA[Repo Prompt]]></title>
            <link rel="alternate" href="https://repoprompt.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11243"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Iterate on code with powerful AI.
Your AI Coding Swiss Army Knife.

Related contents:

- [Episode \#102: Try harder. Ultrathink! @ Changelog &amp;amp; Friends](https://changelog.com/friends/102).]]>
            </summary>
            <updated>2025-12-16T07:33:24+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11234</id>
            <title type="text"><![CDATA[AI Elements Vue]]></title>
            <link rel="alternate" href="https://www.ai-elements-vue.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11234"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[AI Elements Vue is a component library built on top of shadcn-vue to help you build AI-native applications faster.

- [AI Elements Vue @ GitHub](https://github.com/vuepont/ai-elements-vue).

Related contents:

- [124 - 🤖 News Décembre 2025 : de l&amp;#039;IA, de la bêta et des pannes @ Double Slash :fr:](https://double-slash.dev/podcasts/news-dec25/).]]>
            </summary>
            <updated>2025-12-15T07:02:33+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11225</id>
            <title type="text"><![CDATA[iocaine]]></title>
            <link rel="alternate" href="https://iocaine.madhouse-project.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11225"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[the deadliest poison known to AI.

This software is not made for making the Crawlers go away. It is an aggressive defense mechanism that tries its best to take the blunt of the assault, serve them garbage, and keep them off of upstream resources. Even though a lot of work went into making iocaine efficient, and nigh invisible for the legit visitor, it is an aggressive defender nevertheless, and will require a few resources - a whole lot less than if you’d let the Crawlers run rampant, though.

- [iocaine &amp;#039;s git](https://git.madhouse-project.org/iocaine/iocaine).

Related contents:

- [Guarding My Git Forge Against AI Scrapers @ VulpineCitrus](https://vulpinecitrus.info/blog/guarding-git-forge-ai-scrapers/).]]>
            </summary>
            <updated>2025-12-12T13:43:40+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11201</id>
            <title type="text"><![CDATA[Agent-lightning]]></title>
            <link rel="alternate" href="https://microsoft.github.io/agent-lightning/stable/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11201"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Agent Lightning is the absolute trainer to light up AI agents.

agent-lightning is an open-source framework for training and optimizing AI agents—enabling reinforcement learning (RL), automatic prompt optimization, supervised fine-tuning, and more—without requiring substantial changes to existing agent code. It works with virtually any agent framework (e.g., LangChain, OpenAI Agents SDK, and AutoGen) and provides modular components to collect agent execution data and iteratively improve agent performance via a decoupled RL training loop.

- [Agent Lightning @ GitHub](https://github.com/microsoft/agent-lightning).]]>
            </summary>
            <updated>2026-01-21T13:03:08+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11187</id>
            <title type="text"><![CDATA[Steer]]></title>
            <link rel="alternate" href="https://github.com/imtt-dev/steer" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11187"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The Active Reliability Layer for AI Agents. Catch failures, teach fixes, and automate reliability.

Steer is an open-source Python library that intercepts agent failures (hallucinations, bad JSON, PII leaks) and allows you to inject fixes via a local dashboard without changing your code.

Related contents:

- [The &amp;quot;Confident Idiot&amp;quot; Problem: Why AI Needs Hard Rules, Not Vibe Checks @ Steer labs&amp;#039; SubStack](https://steerlabs.substack.com/p/confident-idiot-problem).]]>
            </summary>
            <updated>2025-12-09T07:10:24+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11176</id>
            <title type="text"><![CDATA[Machine Learning for Beginners - A Curriculum]]></title>
            <link rel="alternate" href="https://github.com/microsoft/ML-For-Beginners" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11176"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all.

Cloud Advocates at Microsoft are pleased to offer a 12-week, 26-lesson curriculum all about Machine Learning. In this curriculum, you will learn about what is sometimes called classic machine learning, using primarily Scikit-learn as a library and avoiding deep learning, which is covered in our AI for Beginners&amp;#039; curriculum. Pair these lessons with our &amp;#039;Data Science for Beginners&amp;#039; curriculum, as well!

Related contents:

- [12 semaines de formation Machine Learning gratos sur GitHub (et en français svp !) @ Korben :fr:](https://korben.info/microsoft-ml-for-beginners-formation-machine-learn.html).]]>
            </summary>
            <updated>2025-12-08T12:43:06+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11170</id>
            <title type="text"><![CDATA[Tesslate Studio]]></title>
            <link rel="alternate" href="https://github.com/TesslateAI/Studio" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11170"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open Source Locally Hosted Lovable with Full Stack Support.
The Open-Source AI Development Platform Built for Self-Hosting.

AI-powered development environment with advanced agent orchestration - designed for complete data sovereignty and infrastructure control.]]>
            </summary>
            <updated>2025-12-05T15:20:05+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11161</id>
            <title type="text"><![CDATA[remend]]></title>
            <link rel="alternate" href="https://streamdown.ai/docs/termination" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11161"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Unterminated Block Parsing.

Remend is a lightweight, standalone preprocessor that completes incomplete Markdown syntax.

- [Streamdown @ GitHub](https://github.com/vercel/streamdown).
- [remend @ npm](https://www.npmjs.com/package/remend).

Related contents:

- [New npm package for automatic recovery of broken streaming markdown @ Vercel](https://vercel.com/changelog/new-npm-package-for-automatic-recovery-of-broken-streaming-markdown).]]>
            </summary>
            <updated>2025-12-04T12:51:44+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11141</id>
            <title type="text"><![CDATA[Skald]]></title>
            <link rel="alternate" href="https://useskald.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11141"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Production-ready RAG in your infrastructure.

Skald gives you a production-ready RAG in minutes through a plug-and-play API, and then let&amp;#039;s you configure your RAG engine exactly to your needs.

Our solid defaults will work for most use cases, but you can tune every part of your RAG to better suit your needs. That means configurable vector search params, reranking, models, query rewriting, chunking (soon), and more.

- [Skald @ GitHub](https://github.com/skaldlabs/skald).

Related contents:

- [So you wanna build a local RAG? @ yakko&amp;#039;s blog](https://blog.yakkomajuri.com/blog/local-rag).]]>
            </summary>
            <updated>2025-12-01T10:13:07+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11138</id>
            <title type="text"><![CDATA[Metis]]></title>
            <link rel="alternate" href="https://github.com/arm/metis" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11138"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Metis is an open-source, AI-driven tool for deep security code review.

Metis is an open-source, AI-driven tool for deep security code review, created by Arm&amp;#039;s Product Security Team. It helps engineers detect subtle vulnerabilities, improve secure coding practices, and reduce review fatigue. This is especially valuable in large, complex, or legacy codebases where traditional tooling often falls short.]]>
            </summary>
            <updated>2025-12-01T09:46:34+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11120</id>
            <title type="text"><![CDATA[Dotprompt]]></title>
            <link rel="alternate" href="https://google.github.io/dotprompt/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11120"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Executable GenAI Prompt Templates.

Dotprompt is an executable prompt template file format for Generative AI. It is designed to be agnostic to programming language and model provider to allow for maximum flexibility in usage. Dotprompt extends the popular Handlebars templating language with GenAI-specific features.

- [Dotprompt @ GitHub](https://github.com/google/dotprompt).
- [runprompt @ GitHub](https://github.com/chr15m/runprompt).]]>
            </summary>
            <updated>2025-11-28T12:45:11+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11081</id>
            <title type="text"><![CDATA[smartcommit]]></title>
            <link rel="alternate" href="https://github.com/arpxspace/smartcommit" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11081"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Enforce the habit of self-documenting code through better commit messages. 

smartcommit is an intelligent, AI-powered CLI tool that helps you write semantic, Conventional Commits messages effortlessly. It analyzes your staged changes, asks clarifying questions to understand the &amp;quot;why&amp;quot; behind your code, and generates a structured commit message for you.]]>
            </summary>
            <updated>2025-11-24T12:48:17+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11076</id>
            <title type="text"><![CDATA[🛠️ kit]]></title>
            <link rel="alternate" href="https://kit.cased.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11076"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The toolkit for AI devtools context engineering. Build with codebase mapping, symbol extraction, and many kinds of code search. 

kit is a production-ready toolkit for codebase mapping, symbol extraction, code search, and building LLM-powered developer tools, agents, and workflows.

kit shines for getting precise, accurate, and relevant context to LLMs. Use kit to build code reviewers, code generators and graphs, even full-fledged coding assistants: all enriched with the right code context.

- [kit 🛠️ Code Intelligence Toolkit @ GitHub](https://github.com/cased/kit?utm_source=tldrnewsletter)]]>
            </summary>
            <updated>2025-11-24T12:16:26+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11037</id>
            <title type="text"><![CDATA[OpenSpec]]></title>
            <link rel="alternate" href="https://openspec.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11037"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A lightweight spec‑driven framework.

OpenSpec aligns humans and AI coding assistants with spec-driven development so you agree on what to build before any code is written. No API keys required.

- [OpenSpec @ GitHub](https://github.com/Fission-AI/OpenSpec).

Related contents:

- [Spec-driven development doesn&amp;#039;t work if you&amp;#039;re too confused to write the spec @ deontologician](https://publish.obsidian.md/deontologician/Posts/Spec-driven+development+doesn&amp;#039;t+work+if+you&amp;#039;re+too+confused+to+write+the+spec).
- [The uncomfortable truth about vibe coding @ RedHat Developer](https://developers.redhat.com/articles/2026/02/17/uncomfortable-truth-about-vibe-coding).
- [What spec-driven development gets wrong @ augment code](https://www.augmentcode.com/blog/what-spec-driven-development-gets-wrong).]]>
            </summary>
            <updated>2026-02-24T07:52:44+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11036</id>
            <title type="text"><![CDATA[Memori]]></title>
            <link rel="alternate" href="https://memorilabs.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11036"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[An open-source SQL-Native memory engine for AI.
Open-Source Memory Engine for LLMs, AI Agents &amp;amp; Multi-Agent Systems.

 One line of code to give any LLM persistent, queryable memory using standard SQL databases.

Memori enables any LLM to remember conversations, learn from interactions, and maintain context across sessions with a single line: memori.enable(). Memory is stored in standard SQL databases (SQLite, PostgreSQL, MySQL) that you fully own and control.]]>
            </summary>
            <updated>2025-11-21T13:00:13+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11032</id>
            <title type="text"><![CDATA[Skyvern]]></title>
            <link rel="alternate" href="https://www.skyvern.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11032"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[AI Browser Automation.
 Automate browser based workflows with AI.

Skyvern automates browser-based workflows using LLMs and computer vision. It provides a simple API endpoint to fully automate manual workflows on a large number of websites, replacing brittle or unreliable automation solutions.

- [Skyvern @ GitHub](https://github.com/Skyvern-AI/skyvern).]]>
            </summary>
            <updated>2025-11-21T12:42:51+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11019</id>
            <title type="text"><![CDATA[emdash]]></title>
            <link rel="alternate" href="https://emdash.sh/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11019"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Emdash is an orchestration layer for running multiple coding agents in parallel in isolated Git worktrees.

An orchestration layer for running multiple coding agents in parallel, each isolated in its own Git worktree. Run several agent instances concurrently to tackle independent subtasks or experiments.

Emdash lets you develop and test multiple features with multiple agents in parallel. It’s provider-agnostic (we support 10+ CLIs, such as Claude Code and Codex) and runs each agent in its own Git worktree to keep changes clean; when the environment matters, you can run a PR in its own Docker container. Hand off Linear, GitHub, or Jira tickets to an agent, review diffs side-by-side, and keep everything local.

- [emdash @ GitHub](https://github.com/generalaction/emdash).]]>
            </summary>
            <updated>2026-02-25T12:42:23+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11014</id>
            <title type="text"><![CDATA[🔂 Continuous Claude]]></title>
            <link rel="alternate" href="https://github.com/AnandChowdhary/continuous-claude" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11014"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[🔂 Run Claude Code in a continuous loop, autonomously creating PRs, waiting for checks, and merging

Automated workflow that orchestrates Claude Code in a continuous loop, autonomously creating PRs, waiting for checks, and merging - so multi-step projects complete while you sleep.]]>
            </summary>
            <updated>2025-11-19T06:34:15+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10994</id>
            <title type="text"><![CDATA[Reins]]></title>
            <link rel="alternate" href="https://reins.ibrahimcetin.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10994"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Chat for Ollama, Private AI Chat.

 Empowering LLM researchers and hobbyists with seamless control over self-hosted models. Connect remotely, customize prompts, manage chats, and fine-tune configurations. All in one intuitive app. 

- [Reins @ GitHub](https://github.com/ibrahimcetin/reins).

Related contents:

- [Reins - Un Ollama sur mobile sans faire tourner Ollama sur mobile @ Korben :fr:](https://korben.info/reins-ollama-mobile-impossible.html).]]>
            </summary>
            <updated>2025-11-17T11:10:57+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10973</id>
            <title type="text"><![CDATA[Eclaire]]></title>
            <link rel="alternate" href="https://www.eclaire.co/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10973"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Privacy-focused AI assistant for your data

Open-source, local-first AI that organizes, answers, and automates across tasks, notes, documents, photos, and bookmarks. Private by design and under your control.

- [Eclaire @ GitHub](https://github.com/eclaire-labs/eclaire).]]>
            </summary>
            <updated>2025-11-16T16:10:22+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10953</id>
            <title type="text"><![CDATA[Gerbil]]></title>
            <link rel="alternate" href="https://github.com/lone-cloud/gerbil" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10953"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A desktop app to easily run Large Language Models locally.]]>
            </summary>
            <updated>2025-11-13T12:31:16+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10941</id>
            <title type="text"><![CDATA[Strix]]></title>
            <link rel="alternate" href="https://usestrix.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10941"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The AI Penetration Testing Agent.
Penetration testing done in hours, not weeks.
Strix finds and fixes vulnerabilities before they reach production. 

- [Strix @ GitHub](https://github.com/usestrix/strix).]]>
            </summary>
            <updated>2025-11-12T14:32:59+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10933</id>
            <title type="text"><![CDATA[git-rewrite-commits]]></title>
            <link rel="alternate" href="https://blog.fka.dev/git-rewrite-commits/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10933"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[AI-powered git commit message rewriter using GPT.

Automatically rewrite your entire git commit history with better, conventional commit messages using AI. Perfect for cleaning up messy commit histories before open-sourcing projects or improving repository maintainability.

- [git-rewrite-commits @ GitHub](https://github.com/f/git-rewrite-commits).]]>
            </summary>
            <updated>2025-11-12T08:49:05+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10920</id>
            <title type="text"><![CDATA[Mocolamma]]></title>
            <link rel="alternate" href="https://mocolamma.taikun.design/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10920"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Ollama Manager App.

Unofficial Ollama manager app for macOS, iOS, iPadOS, and visionOS, featuring server management, model management, and simple chat feature.

- [Mocolamma @ GitHub](https://github.com/taikun114/Mocolamma).

Related contents:

- [MocoLlamma - Ollama gérable depuis iPhone, iPad et Vision Pro @ Korben :fr:](https://korben.info/mocolamma-ollama-gestion-iphone-ia-locale.html).]]>
            </summary>
            <updated>2025-11-12T07:23:32+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10900</id>
            <title type="text"><![CDATA[OpenPCC]]></title>
            <link rel="alternate" href="https://github.com/openpcc/openpcc" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10900"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[An open-source framework for provably private AI inference.

OpenPCC is an open-source framework for provably private AI inference, inspired by Apple’s Private Cloud Compute but fully open, auditable, and deployable on your own infrastructure. It allows anyone to run open or custom AI models without exposing prompts, outputs, or logs - enforcing privacy with encrypted streaming, hardware attestation, and unlinkable requests.]]>
            </summary>
            <updated>2025-11-07T13:32:31+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10893</id>
            <title type="text"><![CDATA[Murmure]]></title>
            <link rel="alternate" href="https://www.murmure.app/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10893"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Privacy-first and free Speech-to-Text.

Murmure is an AI-powered, offline speech-to-text tool designed with Privacy first in mind and powered by NVIDIA Parakeet 🦜. Your voice always stays yours.

- [Murmure @ GitHub](https://github.com/Kieirra/murmure).]]>
            </summary>
            <updated>2026-04-03T17:20:43+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10881</id>
            <title type="text"><![CDATA[Web Codegen Scorer]]></title>
            <link rel="alternate" href="https://github.com/angular/web-codegen-scorer" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10881"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Web Codegen Scorer is a tool for evaluating the quality of web code generated by LLMs.]]>
            </summary>
            <updated>2025-11-04T12:51:44+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10854</id>
            <title type="text"><![CDATA[Chef by Convex]]></title>
            <link rel="alternate" href="https://chef.convex.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10854"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The open-source app generator powered by Convex.
Generate realtime full‑stack apps.
The only AI app builder that knows backend.

Chef is the only AI app builder that knows backend. It builds full-stack web apps with a built-in database, zero config auth, file uploads, real-time UIs, and background workflows. If you want to check out the secret sauce that powers Chef, you can view or download the system prompt here.

- [Chef by Convex @ GitHub](https://github.com/get-convex/chef).]]>
            </summary>
            <updated>2025-11-03T13:01:57+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10853</id>
            <title type="text"><![CDATA[Pipelex]]></title>
            <link rel="alternate" href="https://www.pipelex.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10853"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[AI Workflows That Agents Build &amp;amp; Run.
Open Language for Agents to Build AI Workflows.

The open standard devtool for repeatable AI workflows.
Write business logic, not API calls.

- [Pipelex @ GitHub](https://github.com/pipelex/pipelex).]]>
            </summary>
            <updated>2025-11-03T13:00:33+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10842</id>
            <title type="text"><![CDATA[Lada]]></title>
            <link rel="alternate" href="https://codeberg.org/ladaapp/lada" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10842"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Lada is a tool designed to recover pixelated adult videos (JAV). It helps restore the visual quality of such content, making it more enjoyable to watch.

- [Lada @ Flathub](https://flathub.org/en/apps/io.github.ladaapp.lada).

Related contents:

- [LADA - L&amp;#039;IA qui dé-pixelise les aubergines @ Korben :fr:](https://korben.info/lada-ia-depixelisation-jav-loi-japonaise-article-1-2.html).]]>
            </summary>
            <updated>2025-11-03T08:57:21+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10841</id>
            <title type="text"><![CDATA[Deep Eye 🔍]]></title>
            <link rel="alternate" href="https://github.com/zakirkun/deep-eye" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10841"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[An advanced AI-driven vulnerability scanner and penetration testing tool that integrates multiple AI providers (OpenAI, Grok, OLLAMA, Claude) with comprehensive security testing modules for automated bug hunting, intelligent payload generation, and professional reporting.

Related contents:

- [Deep Eye - Le scanner de vulns multi-IA @ Korben :fr:](https://korben.info/deep-eye-scanner-vulnerabilites-ai-openai-claude-g.html).]]>
            </summary>
            <updated>2025-11-03T08:55:59+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10822</id>
            <title type="text"><![CDATA[EuroLLM :eu:]]></title>
            <link rel="alternate" href="https://eurollm.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10822"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Large language model made in Europe built to support all official 24 EU languages.

The EuroLLM project includes Instituto Superior Técnico, the University of Edinburgh, Instituto de Telecomunicações, Université Paris-Saclay, Unbabel, Sorbonne University, Naver Labs, and the University of Amsterdam. Together they created EuroLLM-9B, a multilingual AI model supporting all 24 official EU languages. Developed with support from Horizon Europe, the European Research Council, and EuroHPC, this open-source LLM aims to enhance Europe’s digital sovereignty and foster AI innovation. Trained on the MareNostrum 5 supercomputer, EuroLLM outperforms similar-sized models. It is fully open source and available via Hugging Face.

Related contents:

- [EuroLLM - Le LLM européen qui tourne sur votre laptop @ Korben :fr:](https://korben.info/eurollm-llm-europeen-local-ollama-laptop.html).]]>
            </summary>
            <updated>2025-11-12T07:32:13+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10812</id>
            <title type="text"><![CDATA[Tavily]]></title>
            <link rel="alternate" href="https://www.tavily.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10812"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The Web Access Layer for AI Agents.

Connect Your Agent to the Web. Powering the Internet of Agents with fast, secure and reliable web access APIs.

Related contents:

- [RAG Against The Machine @ Quoi de neuf les devs ? :fr:](https://happytodev.substack.com/p/quoi-de-neuf-les-devs-153-veille?open=false#%C2%A7rag-against-the-machine).]]>
            </summary>
            <updated>2025-10-29T16:23:15+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10811</id>
            <title type="text"><![CDATA[Dexto]]></title>
            <link rel="alternate" href="https://www.dexto.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10811"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The Intelligence Engine. Turn Natural Language Into Action.
 The Intelligence Layer for AI agents. Connect your models, tools, and data to create agentic apps that can think, act and talk to you. 

An all-in-one toolkit to build agentic applications that turn natural language into real-world actions.

Want to build AI-native apps that respond to natural language? Dexto is the intelligence layer that makes it easy to build agentic apps like AI assistants and copilots. Describe your agents, plug in your tools, and watch them respond to plain English.

- [Dexto @ GitHub](https://github.com/truffle-ai/dexto).]]>
            </summary>
            <updated>2025-10-29T12:59:44+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10810</id>
            <title type="text"><![CDATA[Butter]]></title>
            <link rel="alternate" href="https://www.butter.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10810"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Butter is a cache that identifies patterns in LLM responses and saves you money by serving responses directly.

It&amp;#039;s also deterministic, allowing your AI systems to consistently repeat past behaviors.]]>
            </summary>
            <updated>2025-10-29T12:57:53+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10782</id>
            <title type="text"><![CDATA[Peekaboo]]></title>
            <link rel="alternate" href="https://www.peekaboo.boo/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10782"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[AI Vision for macOS. Fast Screen Capture &amp;amp; VQA.

Peekaboo is a macOS CLI &amp;amp; optional MCP server that enables AI agents to capture screenshots of applications, or the entire system, with optional visual question answering through local or remote AI models. 

- [Peekaboo @ GitHub](https://github.com/steipete/Peekaboo).

Related contents:

- [Accelerate developer productivity with these 9 open source AI and MCP projects @ GitHub blog](https://github.blog/open-source/accelerate-developer-productivity-with-these-9-open-source-ai-and-mcp-projects/).]]>
            </summary>
            <updated>2025-10-27T14:08:36+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10778</id>
            <title type="text"><![CDATA[Docker MCP Plugin and Docker MCP Gateway]]></title>
            <link rel="alternate" href="https://github.com/docker/mcp-gateway" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10778"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[docker mcp CLI plugin / MCP Gateway.

Related contents:

- [Your Org, Your Tools: Building a Custom MCP Catalog @ Docker](https://www.docker.com/blog/build-custom-mcp-catalog/).]]>
            </summary>
            <updated>2025-10-27T14:01:05+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10770</id>
            <title type="text"><![CDATA[React Grab]]></title>
            <link rel="alternate" href="https://react-grab.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10770"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Grab any element on in your app and give it to Cursor, Claude Code, etc.

By default coding agents cannot access elements on your page. React Grab fixes this - just point and click to provide context!

- [React Grab @ GitHub](https://github.com/aidenybai/react-grab).]]>
            </summary>
            <updated>2025-10-27T11:28:32+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10768</id>
            <title type="text"><![CDATA[LightRAG]]></title>
            <link rel="alternate" href="https://github.com/HKUDS/LightRAG" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10768"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Simple and Fast Retrieval-Augmented Generation.

The LightRAG Server is designed to provide Web UI and API support. The Web UI facilitates document indexing, knowledge graph exploration, and a simple RAG query interface. LightRAG Server also provide an Ollama compatible interfaces, aiming to emulate LightRAG as an Ollama chat model. This allows AI chat bot, such as Open WebUI, to access LightRAG easily.]]>
            </summary>
            <updated>2025-10-27T11:25:16+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10758</id>
            <title type="text"><![CDATA[Katakate (K7)]]></title>
            <link rel="alternate" href="https://katakate.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10758"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Create and manage micro VMs at scale for safe execution of untrusted code.
Secure sandboxed compute for AI agents and workloads

 K7 Demo

Katakate aims to make it easy to create, manage and orchestrate lightweight safe VM sandboxes for executing untrusted code, at scale. It is built on battle-tested VM isolation with Kata, Firecracker and Kubernetes. It is orignally motivated by AI agents that need to run arbitrary code at scale.

- [Katakate @ GitHub](https://github.com/Katakate/k7).
- [Katakate documentation](https://docs.katakate.org/).]]>
            </summary>
            <updated>2025-10-22T11:39:42+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10756</id>
            <title type="text"><![CDATA[Coral NPU]]></title>
            <link rel="alternate" href="https://github.com/google-coral/coralnpu" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10756"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A machine learning accelerator core designed for energy-efficient AI at the edge. 

Coral NPU is a hardware accelerator for ML inferencing. Coral NPU is an Open Source IP designed by Google Research and is freely available for integration into ultra-low-power System-on-Chips (SoCs) targeting wearable devices such as hearables, augmented reality (AR) glasses and smart watches.]]>
            </summary>
            <updated>2025-10-22T11:30:17+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10755</id>
            <title type="text"><![CDATA[Red AI Range (RAR)]]></title>
            <link rel="alternate" href="https://github.com/ErdemOzgen/RedAiRange" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10755"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[AI Red Teaming Range.

Red AI Range (RAR) is a comprehensive security platform designed specifically for AI red teaming and vulnerability assessment. It creates realistic environments where security professionals can systematically discover, analyze, and mitigate AI vulnerabilities through controlled testing scenarios.]]>
            </summary>
            <updated>2025-10-22T06:19:24+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10751</id>
            <title type="text"><![CDATA[Agentset]]></title>
            <link rel="alternate" href="https://agentset.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10751"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Build Frontier RAG Apps.
 The open-source RAG platform: built-in citations, deep research, 22+ file formats, partitions, MCP server, and more. 

Ground AI agents in your knowledge base, minimize hallucinations, and impress out of the box.
Agentset is the open-source platform to build, evaluate, and ship production-ready RAG and agentic applications. It provides end-to-end tooling: ingestion, vector indexing, evaluation/benchmarks, chat playground, hosting, and a clean API with first-class developer experience.

- [Agentset @ GitHub](https://github.com/agentset-ai/agentset).

Related contents:

- [Production RAG: what I learned from processing 5M+ documents @ Abdellatif Abdelfattah](https://blog.abdellatif.io/production-rag-processing-5m-documents).]]>
            </summary>
            <updated>2025-10-21T11:51:26+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10741</id>
            <title type="text"><![CDATA[AGNTCY]]></title>
            <link rel="alternate" href="https://agntcy.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10741"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Building infrastructure for the Internet of Agents.

The AGNTCY project provides the complete infrastructure stack for agent collaboration—discovery, identity, messaging, and observability that works across any vendor or framework. It is the foundational layer that lets specialized agents find each other, verify capabilities, and work together on complex problems.

- [AGNTCY Identity @ GitHub](https://github.com/agntcy/identity).
- [Agent Directory Protocol @ GitHub](https://github.com/agntcy/dir-spec).]]>
            </summary>
            <updated>2025-10-21T05:42:06+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10740</id>
            <title type="text"><![CDATA[Paris]]></title>
            <link rel="alternate" href="https://huggingface.co/bageldotcom/paris" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10740"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A Decentralized Trained Open-Weight Diffusion Model.

The world&amp;#039;s first open-weight diffusion model trained entirely through decentralized computation. The model consists of 8 expert diffusion models (129M-605M parameters each) trained in complete isolation with no gradient, parameter, or intermediate activation synchronization, achieving superior parallelism efficiency over traditional methods while using 14× less data and 16× less compute than baselines.

- [Paris: A Decentralized Trained Open-Weight Diffusion Model @ GitHub](https://github.com/bageldotcom/paris/tree/main).

Related contents:

- [Introducing Paris @ BagelLABS](https://blog.bagel.com/p/paris).]]>
            </summary>
            <updated>2025-10-21T05:36:57+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10733</id>
            <title type="text"><![CDATA[SurfSense]]></title>
            <link rel="alternate" href="https://www.surfsense.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10733"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Customizable AI Research &amp;amp; Knowledge Management Assistant.
The AI Workspace Built for Teams.
Connect any LLM to your internal knowledge sources and chat with it in real time alongside your team.



Open Source Alternative to NotebookLM / Perplexity, connected to external sources such as Search Engines, Slack, Linear, Jira, ClickUp, Confluence, Notion, YouTube, GitHub, Discord and more.

- [SurfSense @ GitHub](https://github.com/MODSetter/SurfSense).]]>
            </summary>
            <updated>2025-10-20T12:08:27+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10706</id>
            <title type="text"><![CDATA[Inkeep]]></title>
            <link rel="alternate" href="https://inkeep.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10706"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[AI Agents that get real work done.

Ship Agent-powered assistants and automations that help your customers and 10x your teams.

 Create AI Agents in a No-Code Visual Builder or TypeScript SDK with full 2-way sync. For shipping AI assistants and multi-agent AI workflows. 

- [Inkeep documentation](https://docs.inkeep.com/overview).
- [Inkeep Agents @ GitHub](https://github.com/inkeep/agents).]]>
            </summary>
            <updated>2025-10-17T13:20:18+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10676</id>
            <title type="text"><![CDATA[GitHub Copilot CLI]]></title>
            <link rel="alternate" href="https://github.com/features/copilot/cli" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10676"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[GitHub Copilot CLI brings the power of Copilot coding agent directly to your terminal. 

- [Copilot CLI @ GitHub](https://github.com/github/copilot-cli).

Related contents:

- [GitHub Copilot CLI is now in public preview @ GitHub Blog](https://github.blog/changelog/2025-09-25-github-copilot-cli-is-now-in-public-preview/).
- [\#121 - Les news Web Dev d’octobre 2025. Adonis, Laravel, React Compiler, Vite+ et bien plus encore ! @ Double Slash :fr:](https://double-slash.dev/podcasts/news-oct25/).
- [GitHub Copilot CLI: How to get started @ GitHub Blog](https://github.blog/ai-and-ml/github-copilot/github-copilot-cli-how-to-get-started/).
- [GitHub Copilot CLI 101: How to use GitHub Copilot from the command line @ GitHub Blog](https://github.blog/ai-and-ml/github-copilot-cli-101-how-to-use-github-copilot-from-the-command-line/).]]>
            </summary>
            <updated>2025-11-17T15:27:37+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10662</id>
            <title type="text"><![CDATA[NativeMind]]></title>
            <link rel="alternate" href="https://nativemind.app/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10662"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Your AI.Your Data. Zero Cloud.
Offline ChatGPT alternative: open-source, on-device, and 100% private.

By connecting to Ollama local LLMs, NativeMind delivers the latest AI capabilities right inside your favourite browser — without sending a single byte to cloud servers.

- [NativeMind @ GitHub](https://github.com/NativeMindBrowser/NativeMindExtension).

Related contents:

- [Nativemind - IA 100% locale dans votre navigateur web @ Korben :fr:](https://korben.info/nativemind-ia-locale-navigateur-ollama.html).]]>
            </summary>
            <updated>2025-10-15T09:46:15+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10650</id>
            <title type="text"><![CDATA[nanochat]]></title>
            <link rel="alternate" href="https://github.com/karpathy/nanochat" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10650"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The best ChatGPT that $100 can buy. 

This repo is a full-stack implementation of an LLM like ChatGPT in a single, clean, minimal, hackable, dependency-lite codebase. nanochat is designed to run on a single 8XH100 node via scripts like speedrun.sh, that run the entire pipeline start to end. This includes tokenization, pretraining, finetuning, evaluation, inference, and web serving over a simple UI so that you can talk to your own LLM just like ChatGPT. nanochat will become the capstone project of the course LLM101n being developed by Eureka Labs.

Related contents:

- [Excited to release new repo: nanochat! @ Andrej Karpathy&amp;#039;s Twitter](https://threadreaderapp.com/thread/1977755427569111362.html).]]>
            </summary>
            <updated>2025-10-14T11:40:20+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10641</id>
            <title type="text"><![CDATA[Beads]]></title>
            <link rel="alternate" href="https://github.com/steveyegge/beads" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10641"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A memory upgrade for your coding agent.

Beads is a lightweight memory system for coding agents, using a graph-based issue tracker. Four kinds of dependencies work to chain your issues together like beads, making them easy for agents to follow for long distances, and reliably perform complex task streams in the right order.

Related contents:

- [Introducing Beads: A coding agent memory system @ Steve Yegge&amp;#039;s Medium](https://steve-yegge.medium.com/introducing-beads-a-coding-agent-memory-system-637d7d92514a).
- [Working with AI: How does it Know? @ Jessitron](https://jessitron.com/2026/01/10/ai-coding-trick-ask-it-how-it-knows/).
- [Agent Psychosis: Are We Going Insane? @ Armin Ronacher&amp;#039;s Thoughts and Writings](https://lucumr.pocoo.org/2026/1/18/agent-psychosis/).
- [Pi: The Minimal Agent Within OpenClaw @ Armin Ronacher&amp;#039;s Thoughts and Writings](https://lucumr.pocoo.org/2026/1/31/pi/).]]>
            </summary>
            <updated>2026-02-23T13:04:12+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10637</id>
            <title type="text"><![CDATA[EdgeAI for Beginners]]></title>
            <link rel="alternate" href="https://github.com/microsoft/edgeai-for-beginners" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10637"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[This course is designed to guide beginners through the exciting world of Edge AI, covering fundamental concepts, popular models, inference techniques, device-specific applications, model optimization, and the development of intelligent Edge AI agents.]]>
            </summary>
            <updated>2025-10-13T11:44:03+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10629</id>
            <title type="text"><![CDATA[cagent]]></title>
            <link rel="alternate" href="https://github.com/docker/cagent" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10629"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Agent Builder and Runtime by Docker Engineering.

cagent lets you create and run intelligent AI agents, where each agent has specialized knowledge, tools, and capabilities.
Think of it as allowing you to quickly build, share and run a team of virtual experts that collaborate to solve complex problems for you.

A powerful, easy to use, customizable multi-agent runtime that orchestrates AI agents with specialized capabilities and tools, and the interactions between agents.

Related contents:

- [Terraforming With AI @  Zachary Loeber&amp;#039;s dev.to](https://dev.to/zloeber/terraforming-with-ai-g0o).
- [Using MCP Servers: From Quick Tools to Multi-Agent Systems @ Docker Blog](https://www.docker.com/blog/mcp-servers-docker-toolkit-cagent-gateway/).]]>
            </summary>
            <updated>2026-01-26T12:51:17+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10621</id>
            <title type="text"><![CDATA[Minne]]></title>
            <link rel="alternate" href="https://github.com/perstarkse/minne" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10621"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Minne, a read-it-later &amp;amp; personal knowledge management solution .

Minne (Swedish for &amp;quot;memory&amp;quot;) is a personal knowledge management system and save-for-later application for capturing, organizing, and accessing your information. Inspired by the Zettelkasten method, it uses a graph database to automatically create connections between your notes without manual linking overhead.]]>
            </summary>
            <updated>2025-10-10T13:28:00+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10608</id>
            <title type="text"><![CDATA[BirdNET-Go]]></title>
            <link rel="alternate" href="https://github.com/tphakala/birdnet-go" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10608"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Realtime BirdNET soundscape analyzer.

BirdNET-Go is an AI solution for continuous avian monitoring and identification.
24/7 realtime bird song analysis of soundcard capture, analysis output to log file, SQLite or MySQL

Related contents:

- [Why Self-host? @ Roman Zipp](https://romanzipp.com/blog/why-a-homelab-why-self-host).]]>
            </summary>
            <updated>2025-10-10T12:13:53+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10603</id>
            <title type="text"><![CDATA[AIaC]]></title>
            <link rel="alternate" href="https://github.com/gofireflyio/aiac/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10603"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Artificial Intelligence Infrastructure-as-Code Generator. 

aiac is a library and command line tool to generate IaC (Infrastructure as Code) templates, configurations, utilities, queries and more via LLM providers such as OpenAI, Amazon Bedrock and Ollama.

The CLI allows you to ask a model to generate templates for different scenarios (e.g. &amp;quot;get terraform for AWS EC2&amp;quot;). It composes an appropriate request to the selected provider, and stores the resulting code to a file, and/or prints it to standard output.]]>
            </summary>
            <updated>2025-10-10T09:53:22+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10602</id>
            <title type="text"><![CDATA[Fabric]]></title>
            <link rel="alternate" href="https://github.com/danielmiessler/fabric" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10602"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Fabric is an open-source framework for augmenting humans using AI. It provides a modular system for solving specific problems using a crowdsourced set of AI prompts that can be used anywhere.]]>
            </summary>
            <updated>2025-10-10T09:51:59+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10590</id>
            <title type="text"><![CDATA[ElevenLabs UI]]></title>
            <link rel="alternate" href="https://ui.elevenlabs.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10590"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A collection of Open Source agent and audio components that you can customize and extend.

 ElevenLabs UI is a component library and custom registry built on top of shadcn/ui to help you build multimodal agents faster. 

- [ElevenLabs UI @ GitHub](https://github.com/elevenlabs/ui).]]>
            </summary>
            <updated>2025-10-09T11:54:08+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10589</id>
            <title type="text"><![CDATA[FleetCode]]></title>
            <link rel="alternate" href="https://github.com/built-by-as/FleetCode" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10589"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Light-weight control pane to run CLI coding agents(Claude Code, Codex) in parallel.

A desktop terminal application for running multiple CLI coding agents simultaneously, each in isolated git worktrees.]]>
            </summary>
            <updated>2025-10-10T13:44:04+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10563</id>
            <title type="text"><![CDATA[Echo]]></title>
            <link rel="alternate" href="https://echo.merit.systems/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10563"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Monetize AI Apps in Minutes. You set the markup, we handle the rest.

 Echo is a billing in a box solution for all AI APIs 
Replace your OpenAI import with Echo. Get instant OAuth, user accounts, and usage billing.

- [Echo @ GitHub](https://github.com/Merit-Systems/echo).]]>
            </summary>
            <updated>2025-10-07T05:57:33+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10552</id>
            <title type="text"><![CDATA[Jules]]></title>
            <link rel="alternate" href="https://jules.google/docs/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10552"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Jules is an experimental coding agent that helps you fix bugs, add documentation, and build new features. It integrates with GitHub, understands your codebase, and works asynchronously — so you can move on while it handles the task.

Related contents:

- [Introducing the Jules API @ Jules documentation](https://jules.google/docs/changelog/).]]>
            </summary>
            <updated>2025-10-06T11:48:06+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10551</id>
            <title type="text"><![CDATA[OpenAI Academy]]></title>
            <link rel="alternate" href="https://academy.openai.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10551"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Unlock the opportunities of the AI era by equipping yourself with the knowledge and skills to harness artificial intelligence effectively.

- [Prompt Packs @ OpenAI Academy](https://academy.openai.com/public/tags/prompt-packs-6849a0f98c613939acef841c).

Related contents:

- [Des packs de prompts gratuits pour vos IA @ Korben :fr:](https://korben.info/openai-academy-prompt-packs-bibliotheque-gratuite.html).]]>
            </summary>
            <updated>2025-10-06T09:38:28+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10541</id>
            <title type="text"><![CDATA[Aïe Aïe iA ! :fr:]]></title>
            <link rel="alternate" href="https://lesbases.anct.gouv.fr/ressources/aie-aie-ia-le-jeu-pour-demystifier-l-intelligence-artificielle" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10541"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Le jeu pour démystifier l&amp;#039;intelligence artificielle.

Cet outil ludo-pédagogique vous propose d&amp;#039;aborder le sujet de l&amp;#039;intelligence artificielle au travers d&amp;#039;une enquête embarquant les participants au sein d&amp;#039;une entreprise, l&amp;#039;algorythme dans la Peau (ADP) mêlant interviews, découvertes d&amp;#039;environnements et inspection de documents ! Grâce aux différentes activités à mener dans un temps imparti, les participants auront tous les éléments et arguments nécessaires pour incarner leur personnage à la perfection lors d&amp;#039;un débat qui prendra l&amp;#039;allure d&amp;#039;un véritable jeu de rôle !

Related contents:

- [aïe aïe ia @ Café IA :fr:](https://cafeia.org/aie-aie-ia/).
- [3 questions à Madeline Blanc &amp;amp; Les usages de ChatGPT @ Café IA, la lettre&amp;#039;s LinkedIn :fr:](https://www.linkedin.com/pulse/3-questions-%C3%A0-madeline-blanc-les-usages-de-chatgpt-caf%C3%A9s-ia-0pchf/).]]>
            </summary>
            <updated>2025-10-06T07:06:15+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10517</id>
            <title type="text"><![CDATA[Claudesidian]]></title>
            <link rel="alternate" href="https://github.com/heyitsnoah/claudesidian" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10517"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Claude Code + Obsidian Starter Kit.

Turn your Obsidian vault into an AI-powered second brain using Claude Code.

Related contents:

- [The Magic of Claude Code @ Alephic](https://www.alephic.com/writing/the-magic-of-claude-code).]]>
            </summary>
            <updated>2025-10-03T12:22:56+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10498</id>
            <title type="text"><![CDATA[Symfony AI]]></title>
            <link rel="alternate" href="https://symfony.com/ai" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10498"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Symfony AI is a set of components that integrate AI capabilities into PHP applications.

- [Symfony AI @ GitHub](https://github.com/symfony/ai).

Related contents:

- [Symfony AI : simplifier l’analyse de similarités de textes et l’interaction avec vos LLMs favoris @ JoliCode :fr:](https://jolicode.com/blog/symfony-ai-simplifier-lanalyse-de-similarites-de-textes-et-linteraction-avec-vos-llms-favoris).
- [Créer un serveur MCP avec Symfony sans se casser la tête 😎 @ YoanDev&amp;#039;s YouTube :fr:](https://www.youtube.com/watch?v=D6gu4ZNow_g).]]>
            </summary>
            <updated>2025-10-07T06:26:50+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10495</id>
            <title type="text"><![CDATA[ai.robots.txt]]></title>
            <link rel="alternate" href="https://github.com/ai-robots-txt/ai.robots.txt" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10495"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A list of AI agents and robots to block. 

This list contains AI-related crawlers of all types, regardless of purpose. We encourage you to contribute to and implement this list on your own site. See information about the listed crawlers and the FAQ.

Related contents:

- [\#119: Les news sur le développement web et l&amp;#039;IA pour septembre 2025 RC2 @ Double Slash :fr:](https://double-slash.dev/podcasts/news-sept25-rc2/).
- [Comment bloquer les crawlers IA qui pillent votre site sans vous demander la permission ? @ Korben :fr:](https://korben.info/bloquer-crawlers-ia-robots-txt-htaccess-nginx.html).]]>
            </summary>
            <updated>2025-12-16T10:41:09+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10494</id>
            <title type="text"><![CDATA[Telex]]></title>
            <link rel="alternate" href="https://telex.automattic.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10494"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[AI-Assisted Authoring Environment for WordPress Blocks.

Related contents:

- [\#119: Les news sur le développement web et l&amp;#039;IA pour septembre 2025 RC2 @ Double Slash :fr:](https://double-slash.dev/podcasts/news-sept25-rc2/).]]>
            </summary>
            <updated>2025-10-02T09:12:17+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10493</id>
            <title type="text"><![CDATA[AI SDK]]></title>
            <link rel="alternate" href="https://ai-sdk.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10493"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The AI Toolkit for TypeScript.

From the creators of Next.js, the AI SDK is a free open-source library that gives you the tools you need to build AI-powered products.

- [AI SDK @ GitHub](https://github.com/vercel/ai).

Related contents:

- [\#119: Les news sur le développement web et l&amp;#039;IA pour septembre 2025 RC2 @ Double Slash :fr:](https://double-slash.dev/podcasts/news-sept25-rc2/).]]>
            </summary>
            <updated>2025-10-02T06:01:41+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10489</id>
            <title type="text"><![CDATA[Laravel Boost]]></title>
            <link rel="alternate" href="https://boost.laravel.com/installed" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10489"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Laravel Boost accelerates AI-assisted development by providing the essential context and structure that AI needs to generate high-quality, Laravel-specific code.

- [Laravel Boost @ GitHub](https://github.com/laravel/boost).

Related contents:

- [Getting Started with Laravel Boost @ Laravel&amp;#039;s YouTube](https://www.youtube.com/watch?v=sUtRcpma8iU).
- [\#118 - Les news sur le développement web et l&amp;#039;IA pour septembre 2025 RC1 @ Double Slash :fr:](https://double-slash.dev/podcasts/sept25-rc1/).]]>
            </summary>
            <updated>2025-10-02T05:47:27+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10476</id>
            <title type="text"><![CDATA[Typebot]]></title>
            <link rel="alternate" href="https://typebot.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10476"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[💬 Typebot is a powerful chatbot builder that you can self-host. 

Hack the bot game: Build faster, Chat smarter.

Typebot is a no-code platform that enables you to effortlessly create and integrate advanced chatbots into websites and chat platforms like WhatsApp.

- [Typebot @ GitHub](https://github.com/baptisteArno/typebot.io).]]>
            </summary>
            <updated>2025-10-01T06:07:32+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10449</id>
            <title type="text"><![CDATA[Dayflow]]></title>
            <link rel="alternate" href="https://github.com/JerryZLiu/Dayflow" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10449"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A timeline of your day, automatically.
Turns your screen activity into a clean timeline with AI summaries and distraction highlights. 

Dayflow is a native macOS app (SwiftUI) that records your screen at 1 FPS, analyzes it every 15 minutes with AI, and generates a timeline of your activities with summaries. It&amp;#039;s lightweight (25MB app size) and uses ~100MB of RAM and &amp;lt;1% cpu.]]>
            </summary>
            <updated>2025-09-29T12:27:51+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10440</id>
            <title type="text"><![CDATA[Descript]]></title>
            <link rel="alternate" href="https://www.descript.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10440"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Edit Video Like a Doc. AI Video &amp;amp; Podcast Editor. AI video editing for every kind of video

Direct your AI co-editor to do your video editing for you, or do it yourself with intuitive editing tools. With Descript, video editing is as easy as typing.

Related contents:

- [Called It: The Anti-Adobe Coalition Is Here @ zakelfassi.com](https://zakelfassi.com/creative-tech-coalition-shift-adobe-disruption).]]>
            </summary>
            <updated>2025-09-29T11:46:17+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10430</id>
            <title type="text"><![CDATA[SimpleFold]]></title>
            <link rel="alternate" href="https://github.com/apple/ml-simplefold" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10430"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Folding Proteins is Simpler than You Think.

Related contents:

- [SimpleFold - Un labo de biologie moléculaire qui tourne sur un simple Macbook Pro @ Korben :fr:](https://korben.info/apple-simplefold-ia-proteines-macbook.html).]]>
            </summary>
            <updated>2025-09-29T10:02:06+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10421</id>
            <title type="text"><![CDATA[HexStrike AI]]></title>
            <link rel="alternate" href="https://www.hexstrike.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10421"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Revolutionary AI-Powered Offensive Security Framework.

 HexStrike AI MCP Agents is an advanced MCP server that lets AI agents (Claude, GPT, Copilot, etc.) autonomously run 150+ cybersecurity tools for automated pentesting, vulnerability discovery, bug bounty automation, and security research. Seamlessly bridge LLMs with real-world offensive security capabilities. 

- [HexStrike AI MCP Agents v6.0 @ GitHub](https://github.com/0x4m4/hexstrike-ai).]]>
            </summary>
            <updated>2025-09-29T05:46:52+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10378</id>
            <title type="text"><![CDATA[AI Dataset Generator]]></title>
            <link rel="alternate" href="https://www.metabase.com/ai-data-generator" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10378"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Generate the sample data you need.

Create realistic datasets for demos, learning, and dashboards.

Generate realistic datasets for demos, learning, and dashboards. Instantly preview data, export as CSV or SQL, and explore with Metabase.

- [AI Dataset Generator @ GitHub](https://github.com/metabase/dataset-generator).]]>
            </summary>
            <updated>2025-09-24T12:52:24+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10373</id>
            <title type="text"><![CDATA[MCP Inspector]]></title>
            <link rel="alternate" href="https://modelcontextprotocol.io/docs/tools/inspector" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10373"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Visual testing tool for MCP servers.

The MCP inspector is a developer tool for testing and debugging MCP servers.

- [MCP Inspector @ GitHub](https://github.com/modelcontextprotocol/inspector).

Related contents:

- [MCP Horror Stories: The Drive-By Localhost Breach @ Docker](https://www.docker.com/blog/mpc-horror-stories-cve-2025-49596-local-host-breach/).]]>
            </summary>
            <updated>2025-09-24T12:05:22+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10365</id>
            <title type="text"><![CDATA[OpenPoke]]></title>
            <link rel="alternate" href="https://github.com/shlokkhemani/openpoke" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10365"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[OpenPoke is a simplified, open-source take on Interaction Company’s Poke assistant—built to show how a multi-agent orchestration stack can feel genuinely useful. It keeps the handful of things Poke is great at (email triage, reminders, and persistent agents) while staying easy to spin up locally.

Related contents:

- [OpenPoke: Recreating Poke&amp;#039;s Architecture @ Shlok Khemani](https://www.shloked.com/writing/openpoke).]]>
            </summary>
            <updated>2025-09-23T11:27:54+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10361</id>
            <title type="text"><![CDATA[Prism]]></title>
            <link rel="alternate" href="https://prismphp.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10361"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Prism is a powerful Laravel package for integrating Large Language Models (LLMs) into your applications.

- [Prism @ GitHub](https://github.com/prism-php/prism)
- [Prism Relay @ GitHub](https://github.com/prism-php/relay).

Related contents:

- [Prism &amp;amp; AI | TJ Miller at Laracon US 2025 @ Laravel&amp;#039;s YouTube](https://www.youtube.com/watch?v=TsEeIjWrPhI).
- [Prism, le SDK agentique pour Laravel @ Laravel France :fr:](https://laravel-france.com/posts/prism-le-sdk-agentique-pour-laravel).
- [\#118 - Les news sur le développement web et l&amp;#039;IA pour septembre 2025 RC1 @ Double Slash :fr:](https://double-slash.dev/podcasts/sept25-rc1/).]]>
            </summary>
            <updated>2025-10-02T05:52:49+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10358</id>
            <title type="text"><![CDATA[IntelliShell]]></title>
            <link rel="alternate" href="https://lasantosr.github.io/intelli-shell/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10358"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Like IntelliSense, but for shells!

IntelliShell is a command-line tool that acts as a smart bookmark manager. It helps you find, organize, and reuse complex shell commands without ever leaving your terminal.

- [IntelliShell @ GitHub](https://github.com/lasantosr/intelli-shell).]]>
            </summary>
            <updated>2025-09-23T07:37:24+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10350</id>
            <title type="text"><![CDATA[Dyad]]></title>
            <link rel="alternate" href="https://www.dyad.sh/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10350"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Dyad is a free, local, open-source AI app builder.
The community-driven alternative to Lovable, v0, Bolt and Replit.

- [Dyad @ GitHub](https://github.com/dyad-sh/dyad).

Related contents:

- [Dyad - Créer des apps web avec l&amp;#039;IA sans coder et sans sacrifier vos données perso @ Korben :fr:](https://korben.info/dyad-app-builder-ia-local-open-source.html).
- [r/dyadbuilders @ reddit](https://www.reddit.com/r/dyadbuilders/).
- [Dyad: A Free, Powerful Alternative to Lovable @ The Product Compass](https://www.productcompass.pm/p/dyad-free-lovable-alternative).]]>
            </summary>
            <updated>2025-12-12T12:55:30+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10342</id>
            <title type="text"><![CDATA[Effort.jl]]></title>
            <link rel="alternate" href="https://github.com/CosmologicalEmulators/Effort.jl" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10342"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[EFfective Field theORy surrogaTe.:

Related contents:

- [Quand l&amp;#039;IA apprend à simuler l&amp;#039;univers sur un simple laptop @ Korben :fr:](https://korben.info/effort-jl-ia-simulation-univers-laptop.html).]]>
            </summary>
            <updated>2025-09-22T11:27:35+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10334</id>
            <title type="text"><![CDATA[Pinecone]]></title>
            <link rel="alternate" href="https://www.pinecone.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10334"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The vector database to build knowledgeable AI.

The vector database for machine learning applications. Build vector-based personalization, ranking, and search systems that are accurate, fast, and scalable.

Related contents:

- [Building a Hybrid Search RAG System with Pinecone and LangChain @ Arpan Roy&amp;#039;s Medium](https://medium.com/@arpanroy_43094/building-a-hybrid-search-ragsystem-with-pinecone-and-langchain-efed2cbf1f88).]]>
            </summary>
            <updated>2025-09-22T07:00:28+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10327</id>
            <title type="text"><![CDATA[DetectPack Forge]]></title>
            <link rel="alternate" href="https://detect-pack-forge.vercel.app/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10327"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Turn ideas into detections your SIEM understands. Generate Sigma, KQL, and SPL rules with tests and playbooks in seconds.

 DetectPack Forge turns plain-English behaviors or sample logs into production-ready detection packs — Sigma, KQL (Sentinel), SPL (Splunk) — plus tests and a response playbook, mapped to MITRE ATT&amp;amp;CK, fully powered by Gen AI. 

- [DetectPack Forge @ GitHub](https://github.com/andrewkolagit/DetectPack-Forge).]]>
            </summary>
            <updated>2025-09-22T05:28:45+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10323</id>
            <title type="text"><![CDATA[PhotoCritic AI]]></title>
            <link rel="alternate" href="https://gitlab.bertorello.info/marco/photocritic-ai" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10323"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Honest, creative, and actionable feedback for every photo.
PhotoCritic AI is a modern web application that allows users to upload a photo and receive an expert, AI-powered critique. The app provides a creative title, tags, a professional description, brutally honest suggestions, and a 1-5 star rating for your photo, all generated by a large language model (LLM) via Ollama.]]>
            </summary>
            <updated>2025-09-19T12:54:16+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10306</id>
            <title type="text"><![CDATA[Deep Chat]]></title>
            <link rel="alternate" href="https://deepchat.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10306"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Fully customizable AI chatbot component for your website.

Deep Chat is a fully customizable AI chat component that can be injected into your website with just one line of code. Whether you want to create a chatbot that leverages popular APIs such as ChatGPT or connect to your own custom service, this component can do it all! 

- [Deep Chat @ GitHub](https://github.com/OvidijusParsiunas/deep-chat?tab=readme-ov-file).]]>
            </summary>
            <updated>2025-09-19T12:12:05+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10303</id>
            <title type="text"><![CDATA[Codebuff]]></title>
            <link rel="alternate" href="https://www.codebuff.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10303"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Generate code from the terminal! 
Supercharge Your AI Coding.
Simple. Fast. Powerful. Codebuff works in your terminal.

Codebuff is an open-source AI coding assistant that edits your codebase through natural language instructions. Instead of using one model for everything, it coordinates specialized agents that work together to understand your project and make precise changes.

- [Codebuff @ GitHub](https://github.com/CodebuffAI/codebuff).]]>
            </summary>
            <updated>2025-09-19T11:49:48+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10293</id>
            <title type="text"><![CDATA[Terragon]]></title>
            <link rel="alternate" href="https://www.terragonlabs.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10293"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Background Agents for Claude Code.

Terragon is a developer platform that lets you run AI coding agents in the cloud. Whether you&amp;#039;re at your browser, in your terminal, or on your phone, Terragon works wherever you are. Offload coding tasks and come back to pull requests ready to review.]]>
            </summary>
            <updated>2025-09-19T06:06:40+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10292</id>
            <title type="text"><![CDATA[Open SWE]]></title>
            <link rel="alternate" href="https://swe.langchain.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10292"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[An Open-Source Asynchronous Coding Agent.

Open SWE is an open-source cloud-based asynchronous coding agent built with LangGraph. It autonomously understands codebases, plans solutions, and executes code changes across entire repositories—from initial planning to opening pull requests.

- [Open SWE @ GitHub](https://github.com/langchain-ai/open-swe).]]>
            </summary>
            <updated>2025-09-19T06:05:42+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10291</id>
            <title type="text"><![CDATA[LLM Visualization]]></title>
            <link rel="alternate" href="https://bbycroft.net/llm" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10291"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A visualization and walkthrough of the LLM algorithm that backs OpenAI&amp;#039;s ChatGPT. Explore the algorithm down to every add &amp;amp; multiply, seeing the whole process in action.

This project displays a 3D model of a working implementation of a GPT-style network. That is, the network topology that&amp;#039;s used in OpenAI&amp;#039;s GPT-2, GPT-3, (and maybe GPT-4).

- [LLM Visualization @ GitHub](https://github.com/bbycroft/llm-viz).]]>
            </summary>
            <updated>2025-09-19T06:03:31+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10290</id>
            <title type="text"><![CDATA[repomirror]]></title>
            <link rel="alternate" href="https://github.com/repomirrorhq/repomirror" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10290"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A tool to perform transformations on code repositories with AI. 

Related contents:

- [We Put a Coding Agent in a While Loop and It Shipped 6 Repos Overnight @ repomirror&amp;#039;s GitHub](https://github.com/repomirrorhq/repomirror/blob/main/repomirror.md).]]>
            </summary>
            <updated>2025-09-19T06:01:33+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10288</id>
            <title type="text"><![CDATA[System Prompts Leaks]]></title>
            <link rel="alternate" href="https://github.com/asgeirtj/system_prompts_leaks" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10288"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Collection of extracted System Prompts from popular chatbots like ChatGPT, Claude &amp;amp; Gemini]]>
            </summary>
            <updated>2025-09-19T05:56:30+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10277</id>
            <title type="text"><![CDATA[Noton]]></title>
            <link rel="alternate" href="https://github.com/bartvantuijn/noton" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10277"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A free and open documentation platform built with Laravel and Filament, enhanced by Ollama for local AI features, focused on clarity, structure, and self-hosted simplicity.]]>
            </summary>
            <updated>2025-09-18T14:26:35+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10274</id>
            <title type="text"><![CDATA[AgentScope]]></title>
            <link rel="alternate" href="https://agentscope.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10274"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Agent-Oriented Programming for Building LLM Applications.

- [AgentScope’s documentation](https://doc.agentscope.io/).
- [AgentScope @ GitHub](https://github.com/agentscope-ai/agentscope).]]>
            </summary>
            <updated>2025-09-18T13:51:21+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10271</id>
            <title type="text"><![CDATA[MCP Registry]]></title>
            <link rel="alternate" href="https://github.com/mcp" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10271"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Servers and tools from the community that connect models to files, APIs, databases, and more.

Related contents:

- [Meet the GitHub MCP Registry: The fastest way to discover MCP Servers @ GitHub Blog](https://github.blog/ai-and-ml/github-copilot/meet-the-github-mcp-registry-the-fastest-way-to-discover-mcp-servers/).
- [How to find, install, and manage MCP servers with the GitHub MCP Registry @ GitHub Blog](https://github.blog/ai-and-ml/generative-ai/how-to-find-install-and-manage-mcp-servers-with-the-github-mcp-registry/).]]>
            </summary>
            <updated>2025-10-29T13:12:19+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10265</id>
            <title type="text"><![CDATA[Cline]]></title>
            <link rel="alternate" href="https://github.com/cline/cline" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10265"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Meet Cline, an AI assistant that can use your CLI aNd Editor.

Autonomous coding agent right in your IDE, capable of creating/editing files, executing commands, using the browser, and more with your permission every step of the way.]]>
            </summary>
            <updated>2025-09-18T06:24:45+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10264</id>
            <title type="text"><![CDATA[OpenVision 2]]></title>
            <link rel="alternate" href="https://ucsc-vlaa.github.io/OpenVision2/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10264"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[OpenVision: A Fully-Open, Cost-Effective Family of Advanced Vision Encoders for Multimodal Learning.

OpenVision 2: A Family of Generative Pretrained Visual Encoders that removes the text encoder and contrastive loss, training with caption-only supervision.

- [OpenVision &amp;amp; OpenVision 2 @ GitHub](https://github.com/UCSC-VLAA/OpenVision).]]>
            </summary>
            <updated>2025-09-18T06:09:18+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10260</id>
            <title type="text"><![CDATA[GEPA]]></title>
            <link rel="alternate" href="https://github.com/gepa-ai/gepa" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10260"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[System Optimization through Reflective Text Evolution.
Optimize prompts, code, and more with AI-powered Reflective Text Evolution.

GEPA (Genetic-Pareto) is a framework for optimizing arbitrary systems composed of text components—like AI prompts, code snippets, or textual specs—against any evaluation metric. It employs LLMs to reflect on system behavior, using feedback from execution and evaluation traces to drive targeted improvements. Through iterative mutation, reflection, and Pareto-aware candidate selection, GEPA evolves robust, high-performing variants with minimal evaluations, co-evolving multiple components in modular systems for domain-specific gains.

Related contents:

- [Building and Optimizing Multi-Agent RAG Systems with DSPy and GEPA @ Isaac Kargar&amp;#039;s Medium](https://kargarisaac.medium.com/building-and-optimizing-multi-agent-rag-systems-with-dspy-and-gepa-2b88b5838ce2).]]>
            </summary>
            <updated>2025-09-18T05:59:02+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10259</id>
            <title type="text"><![CDATA[DSPy (Declarative Self-improving Python)]]></title>
            <link rel="alternate" href="https://dspy.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10259"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The framework for programming—not prompting—language models 

DSPy is a declarative framework for building modular AI software. It allows you to iterate fast on structured code, rather than brittle strings, and offers algorithms that compile AI programs into effective prompts and weights for your language models, whether you&amp;#039;re building simple classifiers, sophisticated RAG pipelines, or Agent loops.

- [DSPy @ GitHub](https://github.com/stanfordnlp/dspy).

Related contents:

- [Building and Optimizing Multi-Agent RAG Systems with DSPy and GEPA @ Isaac Kargar&amp;#039;s Medium](https://kargarisaac.medium.com/building-and-optimizing-multi-agent-rag-systems-with-dspy-and-gepa-2b88b5838ce2).]]>
            </summary>
            <updated>2025-09-18T05:57:26+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10253</id>
            <title type="text"><![CDATA[AutoGen]]></title>
            <link rel="alternate" href="https://microsoft.github.io/autogen/stable/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10253"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A framework for building AI agents and applications.

AutoGen is a framework for creating multi-agent AI applications that can act autonomously or work alongside humans.

- [AutoGen @ GitHub](https://github.com/microsoft/autogen).

Related contents:

- [Don’t Build Multi-Agents @ Cognition](https://cognition.ai/blog/dont-build-multi-agents#principles-of-context-engineering).]]>
            </summary>
            <updated>2025-09-17T14:32:23+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10252</id>
            <title type="text"><![CDATA[Malloy]]></title>
            <link rel="alternate" href="https://www.malloydata.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10252"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A modern open source language for analyzing,
transforming, and modeling data.

Malloy is a modern open source language for describing data relationships and transformations. It is both a semantic modeling language and a query language that uses an existing SQL engine to execute queries. Malloy currently can connect to BigQuery, Snowflake, PostgreSQL, MySQL, Trino, or Presto, and natively supports DuckDB. We&amp;#039;ve built a Visual Studio Code extension to facilitate building Malloy data models, querying and transforming data, and creating simple visualizations and dashboards.

- [Malloy @ GitHub](https://github.com/malloydata/malloy).

Related contents:

- [Lessons on building an AI data analyst @ Pedro Nascimento](https://www.pedronasc.com/articles/lessons-building-ai-data-analyst).]]>
            </summary>
            <updated>2025-09-17T14:29:48+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10251</id>
            <title type="text"><![CDATA[The /llms.txt file]]></title>
            <link rel="alternate" href="https://llmstxt.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10251"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A proposal to standardise on using an /llms.txt file to provide information to help LLMs use a website at inference time.

We propose adding a /llms.txt markdown file to websites to provide LLM-friendly content. This file offers brief background information, guidance, and links to detailed markdown files.

llms.txt markdown is human and LLM readable, but is also in a precise format allowing fixed processing methods (i.e. classical programming techniques such as parsers and regex).

- [llms.txt @ GitHub](https://github.com/answerdotai/llms-txt).
- [MCP LLMS-TXT Documentation Server @ GitHub](https://github.com/langchain-ai/mcpdoc).

Related contents:

- [Firecrawl LLMs.txt Generator @ GitHub](https://github.com/firecrawl/create-llmstxt-py).
- [A proposal for inline LLM instructions in HTML based on llms.txt @ Vercel](https://vercel.com/blog/a-proposal-for-inline-llm-instructions-in-html).
- [\#119: Les news sur le développement web et l&amp;#039;IA pour septembre 2025 RC2 @ Double Slash :fr:](https://double-slash.dev/podcasts/news-sept25-rc2/).
- [A fun trick for getting discovered by LLMs and AI tools @ Cassidy Williams](https://cassidoo.co/post/ai-llm-discoverability/).]]>
            </summary>
            <updated>2026-02-02T10:24:56+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10248</id>
            <title type="text"><![CDATA[Genkit]]></title>
            <link rel="alternate" href="https://genkit.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10248"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[An open-source framework for building AI-powered apps, built and used in production by Google

Open-source framework for building AI-powered apps in JavaScript, Go, and Python, built and used in production by Google 

It offers a unified interface for integrating AI models from providers like Google, OpenAI, Anthropic, Ollama, and more. Rapidly build and deploy production-ready chatbots, automations, and recommendation systems using streamlined APIs for multimodal content, structured outputs, tool calling, and agentic workflows.

- [Genkit @ GitHub](https://github.com/firebase/genkit).

Related contents:

- [Announcing Genkit Go 1.0 and Enhanced AI-Assisted Development @ Google for Developers](https://developers.googleblog.com/en/announcing-genkit-go-10-and-enhanced-ai-assisted-development/).]]>
            </summary>
            <updated>2025-09-17T11:38:21+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10246</id>
            <title type="text"><![CDATA[Agent Payments Protocol (AP2)]]></title>
            <link rel="alternate" href="https://ap2-protocol.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10246"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Building a Secure and Interoperable Future for AI-Driven Payments. 

- [Agent Payments Protocol (AP2) @ GitHub](https://github.com/google-agentic-commerce/AP2).

Related contents:

- [ Google&amp;#039;s new open protocol secures AI agent transactions - and 60 companies already support it  @ ZDNET](https://www.zdnet.com/article/googles-new-open-protocol-secures-ai-agent-transactions-and-60-companies-already-support-it/).]]>
            </summary>
            <updated>2025-09-17T11:23:10+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10245</id>
            <title type="text"><![CDATA[Chronon]]></title>
            <link rel="alternate" href="https://github.com/airbnb/chronon" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10245"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Chronon is a data platform for serving for AI/ML applications. 

Chronon is a platform that abstracts away the complexity of data computation and serving for AI/ML applications. Users define features as transformation of raw data, then Chronon can perform batch and streaming computation, scalable backfills, low-latency serving, guaranteed correctness and consistency, as well as a host of observability and monitoring tools.

It allows you to utilize all of the data within your organization, from batch tables, event streams or services to power your AI/ML projects, without needing to worry about all the complex orchestration that this would usually entail.]]>
            </summary>
            <updated>2025-09-17T11:19:20+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10227</id>
            <title type="text"><![CDATA[Agent Client Protocol]]></title>
            <link rel="alternate" href="https://agentclientprotocol.com/overview/introduction" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10227"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A protocol for connecting any editor to any agent.

The Agent Client Protocol standardizes communication between code editors (IDEs, text-editors, etc.) and coding agents (programs that use generative AI to autonomously modify code).

- [Agent Client Protocol @ GitHub](https://github.com/zed-industries/agent-client-protocol).

Related contents:

- [Bring Your Own Agent to Zed — Featuring Gemini CLI @ Zed](https://zed.dev/blog/bring-your-own-agent-to-zed).
- [Episode \#112: A new direction for AI developer tooling @ Changelog &amp;amp; Friends](https://changelog.com/friends/112).]]>
            </summary>
            <updated>2025-10-14T05:49:41+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10215</id>
            <title type="text"><![CDATA[HAMi]]></title>
            <link rel="alternate" href="https://project-hami.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10215"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open, Device Virtualization, VGPU, Heterogeneous AI Computing.

HAMi (Heterogeneous AI Computing Virtualization Middleware) formerly known as k8s-vGPU-scheduler, is an &amp;#039;all-in-one&amp;#039; chart designed to manage Heterogeneous AI Computing Devices in a k8s cluster. It can provide the ability to share Heterogeneous AI devices and provide resource isolation among tasks.

- [HAMi @ GitHub](https://github.com/Project-HAMi/HAMi).

Related contents:

- [HAMi becomes a CNCF incubating project @ CNCF](https://www.cncf.io/blog/2026/07/15/hami-becomes-a-cncf-incubating-project/).]]>
            </summary>
            <updated>2026-07-20T09:11:41+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10206</id>
            <title type="text"><![CDATA[GeoAI]]></title>
            <link rel="alternate" href="https://opengeoai.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10206"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A powerful Python package for integrating artificial intelligence with geospatial data analysis and visualization.

- [GeoAI @ GitHub](https://github.com/opengeos/geoai).

Related contents:

- [GeoAI Workshop: Unlocking the Power of GeoAI with Python @ Open Geospatial Solutions&amp;#039; YouTube](https://www.youtube.com/watch?v=jdK-cleFUkc).]]>
            </summary>
            <updated>2025-09-15T13:16:22+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10205</id>
            <title type="text"><![CDATA[Stitch]]></title>
            <link rel="alternate" href="https://stitch.withgoogle.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10205"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Design with AI.
Transform ideas into UI designs for mobile and web applications.

Related contents:

- [Google Stitch - L&amp;#039;IA qui transforme vos gribouillis en interfaces pro @ Korben :fr:](https://korben.info/google-stitch-ai-design-ui.html).]]>
            </summary>
            <updated>2025-09-15T09:39:49+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10198</id>
            <title type="text"><![CDATA[SHAI]]></title>
            <link rel="alternate" href="https://labs.ovhcloud.com/en/shai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10198"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[SHAI — Your AI-powered coding assistant.
shai is a coding agent, your pair programming buddy that lives in the terminal. Written in rust with love &amp;lt;3 

SHAI is a cutting-edge, terminal-based AI assistant designed to simplify your day-to-day development tasks. Whether you&amp;#039;re building a website, editing files, running shell commands, or automating complex workflows, Shai has got you covered — all from the comfort of your terminal.

- [SHAI @ GitHub](https://github.com/ovh/shai).

Related contents:

- [SHAI - Le développeur qui vit dans votre terminal @ Korben :fr:](https://korben.info/shai-ovhcloud-outil-dev-ia.html).]]>
            </summary>
            <updated>2025-09-15T09:26:13+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10196</id>
            <title type="text"><![CDATA[ToddlerBot]]></title>
            <link rel="alternate" href="https://toddlerbot.github.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10196"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open-Source ML-Compatible Humanoid Platform for Loco-Manipulation.

ToddlerBot is a low-cost, open-source humanoid robot platform designed for scalable policy learning and research in robotics and AI.

This codebase includes low-level control, RL training, DP training, real-world deployment and basically EVERYTHING you need to run ToddlerBot in the real world!

- [ToddlerBot @ GitHub](https://github.com/hshi74/toddlerbot).

Related contents:

- [ToddlerBot - Le robot humanoïde à 4300 $ qui ridiculise les géants de la tech @ Korben :fr:](https://korben.info/toddlerbot-robot-humanoide-250-ridiculise-geants.html).]]>
            </summary>
            <updated>2025-09-15T09:21:35+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10194</id>
            <title type="text"><![CDATA[StoryMotion]]></title>
            <link rel="alternate" href="https://storymotion.video/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10194"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Hand-Drawn Motion Graphics In Minutes.

Turn complex ideas into attention-grabbing hand-drawn animated videos. Enhance communication. No pro skills required.

Related contents:

- [StoryMotion - Créez des animations façon tableau blanc en quelques minutes @ Korben :fr:](https://korben.info/storymotion-video-animations-excalidraw.html).]]>
            </summary>
            <updated>2025-09-15T09:16:48+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10188</id>
            <title type="text"><![CDATA[Terraform MCP Server]]></title>
            <link rel="alternate" href="https://developer.hashicorp.com/terraform/mcp-server" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10188"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The Terraform MCP Server provides seamless integration with Terraform ecosystem, enabling advanced automation and interaction capabilities for Infrastructure as Code (IaC) development. 

- [Terraform MCP Server @ GitHub](https://github.com/hashicorp/terraform-mcp-server).

Related contents:

- [Terraform + MCP: Your Fast Track to Smarter, Faster Infrastructure @ GenusofTechnology&amp;#039;s GitHub](https://medium.com/genusoftechnology/terraform-mcp-your-fast-track-to-smarter-faster-infrastructure-3b343a1b1cef).
- [Terraforming With AI @  Zachary Loeber&amp;#039;s dev.to](https://dev.to/zloeber/terraforming-with-ai-g0o).
- [Terraform MCP server: Four real-world AI infrastructure patterns  @ HashiCorp The Stack](https://www.hashicorp.com/en/blog/terraform-mcp-server-four-real-world-ai-infrastructure-patterns).
- [Terraform MCP Server Explained: Setup and Use Cases @ Spacelift](https://spacelift.io/blog/terraform-mcp-server).]]>
            </summary>
            <updated>2026-07-15T12:01:15+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10180</id>
            <title type="text"><![CDATA[Chat GipiTTY]]></title>
            <link rel="alternate" href="https://divanv.com/chat-gipitty/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10180"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Chat Gipitty (Chat Get Information, Print Information TTY) is a command line client primarily intended for the official OpenAI Chat Completions API. It allows you to chat with language models in a terminal and even pipe output into it. While optimized for OpenAI&amp;#039;s ChatGPT (with GPT-4 as the default model), it can also work with other providers that expose OpenAI-compatible endpoints.

- [Chat GipiTTY @ GitHub](https://github.com/divanvisagie/chat-gipitty).

Related contents:

- [Episode 610: Linus&amp;#039; Next Big Thing @ Linux Unplugged](https://linuxunplugged.com/610).]]>
            </summary>
            <updated>2025-09-14T16:51:38+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10179</id>
            <title type="text"><![CDATA[LobeChat]]></title>
            <link rel="alternate" href="https://lobechat.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10179"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Your personal AI productivity tool for a smarter brain.

 🤯 Lobe Chat - an open-source, modern design AI chat framework. Supports multiple AI providers (OpenAI / Claude 4 / Gemini / DeepSeek / Ollama / Qwen), Knowledge Base (file upload / RAG ), one click install MCP Marketplace and Artifacts / Thinking. One-click FREE deployment of your private AI Agent application. 

- [LobeChat @ GitHub](https://github.com/lobehub/lobe-chat).

Related contents:

- [Episode 586: Kexec with Determination @ Linux Unplugged](https://linuxunplugged.com/586).]]>
            </summary>
            <updated>2026-04-09T06:11:01+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10167</id>
            <title type="text"><![CDATA[Really Simple Licensing (RSL)]]></title>
            <link rel="alternate" href="https://rslstandard.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10167"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The open content licensing standard
for the AI-first Internet

Really Simple Licensing (RSL) is an evolution of the early ideas behind the widely adopted RSS standard, which provided a machine-readable framework for publishers to syndicate content to third-party clients and crawlers in exchange for traffic.

- [RSL Collective homepage](https://rslcollective.org/).

Related contents:

- [Pay-per-output? AI firms blindsided by beefed up robots.txt instructions. @ Ars Technica](https://arstechnica.com/tech-policy/2025/09/pay-per-output-ai-firms-blindsided-by-beefed-up-robots-txt-instructions/).]]>
            </summary>
            <updated>2025-09-12T12:33:43+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10164</id>
            <title type="text"><![CDATA[Serena]]></title>
            <link rel="alternate" href="https://github.com/oraios/serena" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10164"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A powerful coding agent toolkit providing semantic retrieval and editing capabilities (MCP server &amp;amp; other integrations).

🚀 Serena is a powerful coding agent toolkit capable of turning an LLM into a fully-featured agent that works directly on your codebase. Unlike most other tools, it is not tied to an LLM, framework or an interface, making it easy to use it in a variety of ways.

Related contents:

- [Accelerate developer productivity with these 9 open source AI and MCP projects @ GitHub blog](https://github.blog/open-source/accelerate-developer-productivity-with-these-9-open-source-ai-and-mcp-projects/).]]>
            </summary>
            <updated>2025-10-27T14:07:03+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10156</id>
            <title type="text"><![CDATA[Griffith Voice]]></title>
            <link rel="alternate" href="https://github.com/Si7li/Griffith-Voice" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10156"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[AI Voice Cloner &amp;amp; Dubber.

Griffith Voice is a cutting-edge tool for translating and synthesizing voice in real-time. It enables seamless communication across language barriers by combining advanced AI models for transcription, translation, and voice synthesis.]]>
            </summary>
            <updated>2025-09-12T07:46:05+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10146</id>
            <title type="text"><![CDATA[Dosu |]]></title>
            <link rel="alternate" href="https://dosu.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10146"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Your best engineers shouldn&amp;#039;t Q&amp;amp;A all day.
 
Dosu is an AI-powered Github maintainer agent. Dosu helps open source maintainers encourage contributors, organize issues, triage bugs, answer questions, and more.

Dosu turns your codebase into a living knowledge base that every team member can understand—from engineering to operations—so builders can build.

Related contents:

- [How TriliumNext Revitalized an Abandoned Open Source Project with Dosu&amp;#039;s Help @ Dosu blog](https://dosu.dev/blog/how-triliumnext-revitalized-an-abandoned-open-source-project-with-dosus-help).]]>
            </summary>
            <updated>2025-09-12T07:08:11+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10139</id>
            <title type="text"><![CDATA[Monologue]]></title>
            <link rel="alternate" href="https://www.monologue.to/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10139"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Speech to text. talk to the computer.

Related contents:

- [I Started Talking to My Computer Instead of Typing. It Changed How I Think. @ Working Overtime&amp;#039;s Every](https://every.to/working-overtime/i-didn-t-know-typing-held-me-back-until-i-started-thinking-out-loud).]]>
            </summary>
            <updated>2025-09-12T05:47:57+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10135</id>
            <title type="text"><![CDATA[Apertus: Public AI inference utility :ch:]]></title>
            <link rel="alternate" href="https://publicai.co/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10135"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[EPFL, ETH Zurich, and the Swiss National Supercomputing Centre (CSCS) has released Apertus, Switzerland’s first large-scale open, multilingual language model — a milestone in generative AI for transparency and diversity. Trained on 15 trillion tokens across more than 1,000 languages – 40% of the data is non-English – Apertus includes many languages that have so far been underrepresented in LLMs, such as Swiss German, Romansh, and many others. Apertus serves as a building block for developers and organizations for future applications such as chatbots, translation systems, or educational tools. 

- [Apertus LLM @ Hugging Face](https://huggingface.co/collections/swiss-ai/apertus-llm-68b699e65415c231ace3b059).
- [Apertus v1 Technical Report @ GitHub](https://github.com/swiss-ai/apertus-tech-report/).
- [Apertus @ Swiss AI](https://www.swiss-ai.org/apertus).

Related contents:

- [S12E01 : 9 septembre 2025 @ Les Technos :fr:](https://lestechnos.be/s12e01-9-septembre-2025/).
- [\#119: Les news sur le développement web et l&amp;#039;IA pour septembre 2025 RC2 @ Double Slash :fr:](https://double-slash.dev/podcasts/news-sept25-rc2/).]]>
            </summary>
            <updated>2025-10-02T06:10:43+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10125</id>
            <title type="text"><![CDATA[Qwen Code :cn:]]></title>
            <link rel="alternate" href="https://qwenlm.github.io/qwen-code-docs/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10125"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Qwen Code is a coding agent that lives in the digital world. 

Qwen Code brings the capabilities of advanced code models to your terminal in an interactive Read-Eval-Print Loop (REPL) environment. Qwen Code consists of a client-side application (packages/cli) that communicates with a local server (packages/core). Qwen Code also contains a variety of tools for tasks such as performing file system operations, running shells, and web fetching, which are managed by packages/core.

- [Qwen Code @ GitHub](https://github.com/QwenLM/qwen-code).

Related contents:

- [Qwen3-Coder: Is this Agentic CLI smarter than senior devs? @ LogRocket](https://blog.logrocket.com/qwen-3-coder-agentic-cli).
- [\#126 - 🤖 News Janvier 2026 : Open Code, Qwen Code et un peu de code @ Double Slash :fr:](https://double-slash.dev/podcasts/news-jan26/).]]>
            </summary>
            <updated>2026-02-20T07:18:23+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10124</id>
            <title type="text"><![CDATA[Paddler]]></title>
            <link rel="alternate" href="https://paddler.intentee.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10124"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open-source LLMOps platform for hosting and scaling AI in your own infrastructure 🏓🦙 
 Paddler is an open-source LLMOps platform that lets teams run inference and deploy LLMs on their own infrastructure. 

- [Paddler @ GitHub](https://github.com/intentee/paddler).]]>
            </summary>
            <updated>2025-09-11T10:33:30+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10119</id>
            <title type="text"><![CDATA[LocalSite]]></title>
            <link rel="alternate" href="https://github.com/Korben00/LocalSite" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10119"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[LocalSite is a 100% local web development platform powered by Ollama. Generate modern, responsive websites using AI models running directly on your machine.

Related contents:

- [LocalSite - Créez des sites web avec l&amp;#039;IA 100% en local sur votre machine @ Korben :fr:](https://korben.info/localsite-creer-sites-web-ia-local-ollama.html).]]>
            </summary>
            <updated>2025-09-11T06:40:29+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10111</id>
            <title type="text"><![CDATA[TimesFM (Time Series Foundation Model)]]></title>
            <link rel="alternate" href="https://github.com/google-research/timesfm" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10111"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting. 

Related contents:

- [Google sort TimesFM, son modèle IA qui prédit l&amp;#039;avenir des séries temporelles @ Korben :fr:](https://korben.info/google-timesfm-modele-prevision.html).]]>
            </summary>
            <updated>2025-09-11T06:20:08+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10107</id>
            <title type="text"><![CDATA[Panda]]></title>
            <link rel="alternate" href="https://panda-delta-lemon.vercel.app/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10107"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Your AI Assistant for Android.

Experience a new way of using your phone. Panda operates your Android device hands-free and intelligently moderates content based on your preferences. It&amp;#039;s like having Siri, but smarter and more powerful.

- [Panda @ GitHub](https://github.com/Ayush0Chaudhary/blurr).

Related contents:

- [Panda - L&amp;#039;IA qui prend le contrôle total de votre Android @ Korben :fr:](https://korben.info/panda-prend-controle-total-votre-android.html).]]>
            </summary>
            <updated>2025-09-11T06:08:33+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10096</id>
            <title type="text"><![CDATA[Archon OS]]></title>
            <link rel="alternate" href="https://github.com/coleam00/Archon" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10096"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[the knowledge and task management backbone for AI coding assistants.

Archon is the command center for AI coding assistants. For you, it&amp;#039;s a sleek interface to manage knowledge, context, and tasks for your projects. For the AI coding assistant(s), it&amp;#039;s a Model Context Protocol (MCP) server to collaborate on and leverage the same knowledge, context, and tasks. Connect Claude Code, Kiro, Cursor, Windsurf, etc. to give your AI agents access to:]]>
            </summary>
            <updated>2025-09-10T06:22:50+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10094</id>
            <title type="text"><![CDATA[PyTorch]]></title>
            <link rel="alternate" href="https://pytorch.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10094"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Tensors and Dynamic neural networks in Python with strong GPU acceleration.

PyTorch is a Python package that provides two high-level features:

- Tensor computation (like NumPy) with strong GPU acceleration
- Deep neural networks built on a tape-based autograd system

You can reuse your favorite Python packages such as NumPy, SciPy, and Cython to extend PyTorch when needed.

- [PyTorch @ GitHub](https://github.com/pytorch/pytorch).

Related contents:

- [Intro to PyTorch. Easy to follow, visual introduction. @ 0byte.io](https://0byte.io/articles/pytorch_introduction.html).
- [Faire tourner un LLM localement sur votre ordinateur @ Quoi de neuf les devs ? :fr:](https://happytodev.substack.com/p/brent-roose-est-linvite-du-n147-de?open=false#%C2%A7faire-tourner-un-llm-localement-sur-votre-ordinateur).
- [the bug that taught me more about PyTorch than years of using it  @ matmols](https://elanapearl.github.io/blog/2025/the-bug-that-taught-me-pytorch/).
- [The annotated PyTorch training loop @ idlemachines](https://idlemachines.co.uk/essays/pytorch-training-loop).]]>
            </summary>
            <updated>2026-06-26T11:36:58+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10088</id>
            <title type="text"><![CDATA[Jaaz]]></title>
            <link rel="alternate" href="https://jaaz.app/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10088"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open source Canva AI alternative.

AI Design Agent.
Draw, chat, point, than get outcome from leading AIs — all in one canvas.

The world&amp;#039;s first open-source multimodal creative assistant This is a substitute for Canva and Manus that prioritizes privacy and is usable locally. 

- [Jaaz @ GitHub](https://github.com/11cafe/jaaz).]]>
            </summary>
            <updated>2025-09-09T12:12:37+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10072</id>
            <title type="text"><![CDATA[🌱 Spec Kit]]></title>
            <link rel="alternate" href="https://speckit.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10072"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[💫 Toolkit to help you get started with Spec-Driven Development.

Build high-quality software faster.

An effort to allow organizations to focus on product scenarios rather than writing undifferentiated code with the help of Spec-Driven Development. 

Spec-Driven Development flips the script on traditional software development. For decades, code has been king — specifications were just scaffolding we built and discarded once the &amp;quot;real work&amp;quot; of coding began. Spec-Driven Development changes this: specifications become executable, directly generating working implementations rather than just guiding them.

- [Spec Kit @ GitHub](https://github.com/github/spec-kit).
- [Spec Kit&amp;#039;s GitHub Pages](https://github.github.com/spec-kit/).

Related contents:

- [What&amp;#039;s The Deal With GitHub Spec Kit @ Den Delimarsky](https://den.dev/blog/github-spec-kit/).
- [The ONLY guide you&amp;#039;ll need for GitHub Spec Kit @ Den Delimarsky&amp;#039;s YouTube](https://www.youtube.com/watch?v=a9eR1xsfvHg).
- [How to write a good spec for AI agents @ Addy Osmani](https://addyosmani.com/blog/good-spec/).
- [The uncomfortable truth about vibe coding @ RedHat Developer](https://developers.redhat.com/articles/2026/02/17/uncomfortable-truth-about-vibe-coding).
- [What spec-driven development gets wrong @ augment code](https://www.augmentcode.com/blog/what-spec-driven-development-gets-wrong).]]>
            </summary>
            <updated>2026-02-24T07:52:11+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10060</id>
            <title type="text"><![CDATA[kubewall]]></title>
            <link rel="alternate" href="https://github.com/kubewall/kubewall" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10060"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Single-Binary Kubernetes Dashboard with Multi-Cluster Management &amp;amp; AI Integration. (OpenAI / Claude 4 / Gemini / DeepSeek / OpenRouter / Ollama / Qwen / LMStudio).

It provides a simple and rich realtime interface to manage and investigate your clusters.

Related contents:

- [Newsletter du 02 Février 2026 @ RudeOps :fr:](https://www.rudeops.com/newsletter/2026-02-02-rudeops-newsletter/).]]>
            </summary>
            <updated>2026-02-12T07:30:47+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10046</id>
            <title type="text"><![CDATA[LEANN]]></title>
            <link rel="alternate" href="https://github.com/yichuan-w/LEANN" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10046"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device. 

LEANN is an innovative vector database that democratizes personal AI. Transform your laptop into a powerful RAG system that can index and search through millions of documents while using 97% less storage than traditional solutions without accuracy loss.

Related contents:

- [LEANN - L&amp;#039;IA personnelle qui écrase 97% de ses concurrents (en taille) @ Korben :fr:](https://korben.info/leann-rag.html).]]>
            </summary>
            <updated>2025-09-08T10:28:00+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10038</id>
            <title type="text"><![CDATA[BruteForceAI]]></title>
            <link rel="alternate" href="https://github.com/MorDavid/BruteForceAI" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10038"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Advanced LLM-powered brute-force tool combining AI intelligence with automated login attacks.

Related contents:

- [BruteForceAI - L&amp;#039;IA qui cracke vos mots de passe @ Korben :fr:](https://korben.info/bruteforceai.html).
- [BruteForceAI: Free AI-powered login brute force tool @ Help Net Security](https://www.helpnetsecurity.com/2025/09/03/bruteforceai-free-ai-powered-login-brute-force-tool/).]]>
            </summary>
            <updated>2025-09-08T10:03:42+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10035</id>
            <title type="text"><![CDATA[Ryax]]></title>
            <link rel="alternate" href="https://ryax.tech/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10035"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Cost-effective compute resources for AI applications.

Ryax is the low-code serverless and open-source solution to build faster your AI workflows and applications.
 Developers, build your AI workflows and Applications in record time; deploy at scale with serverless technology; self-host, install on any cloud and HPC or use our hosted platform; Open source, low code. 

- [Ryax @ GitHub](https://github.com/RyaxTech/ryax-engine).]]>
            </summary>
            <updated>2025-09-08T07:02:18+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10034</id>
            <title type="text"><![CDATA[Minecraft MCP Server]]></title>
            <link rel="alternate" href="https://github.com/yuniko-software/minecraft-mcp-server" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10034"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A Minecraft MCP Server powered by Mineflayer API. It allows to control a Minecraft character in real-time, allowing AI assistants to build structures, explore the world, and interact with the game environment through natural language instruction]]>
            </summary>
            <updated>2025-09-06T17:13:32+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10016</id>
            <title type="text"><![CDATA[Parlant]]></title>
            <link rel="alternate" href="https://www.parlant.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10016"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Build compliant AI chat agents, in minutes.
 LLM agents built for control. Designed for real-world use. Deployed in minutes. 

Parlant gives you all the structure you need to build customer-facing agents that behave exactly as your business requires

- [Parlant @ GitHub](https://github.com/emcie-co/parlant).]]>
            </summary>
            <updated>2025-09-04T17:08:33+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10013</id>
            <title type="text"><![CDATA[ort]]></title>
            <link rel="alternate" href="https://github.com/grahamking/ort" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10013"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[An honest CLI for openrouter.ai. Fast and tmux-aware.
ort sends your prompts to AI models on openrouter.ai.

It is built the old fashioned way, in solid Rust. It doesn&amp;#039;t slow you down with Python interpreters. This is a modest 2 MiB ELF binary.

Related contents:

- [Evaluating LLMs for my personal use case @ Graham King](https://darkcoding.net/software/personal-ai-evals-aug-2025/).]]>
            </summary>
            <updated>2025-09-04T16:53:01+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10002</id>
            <title type="text"><![CDATA[🤗 Hub client library]]></title>
            <link rel="alternate" href="https://huggingface.co/docs/huggingface_hub/index" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10002"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The huggingface_hub library allows you to interact with the Hugging Face Hub, a machine learning platform for creators and collaborators. Discover pre-trained models and datasets for your projects or play with the hundreds of machine learning apps hosted on the Hub. You can also create and share your own models and datasets with the community. The huggingface_hub library provides a simple way to do all these things with Python.

- [🤗 Python client for the Huggingface Hub @ GitHub](https://github.com/huggingface/huggingface_hub).
- [Hugging Face JS libraries @ GitHub](https://github.com/huggingface/huggingface.js).

Related contents:

- [Tiny Agents in Python: an MCP-powered agent in ~70 lines of code @ Hugging Face](https://huggingface.co/blog/python-tiny-agents).
- [Tiny Agents: an MCP-powered agent in 50 lines of code @ Hugging Face](https://huggingface.co/blog/tiny-agents).]]>
            </summary>
            <updated>2025-09-04T11:53:43+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10001</id>
            <title type="text"><![CDATA[tiny-agents]]></title>
            <link rel="alternate" href="https://huggingface.co/datasets/tiny-agents/tiny-agents" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10001"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[In this short article, I will walk you through how I implemented it in Typescript (JS), how you can adopt MCP too and how it&amp;#039;s going to make Agentic AI way simpler going forward.

Related contents:

- [Tiny Agents in Python: an MCP-powered agent in ~70 lines of code @ Hugging Face](https://huggingface.co/blog/python-tiny-agents).
- [Tiny Agents: an MCP-powered agent in 50 lines of code @ Hugging Face](https://huggingface.co/blog/tiny-agents).]]>
            </summary>
            <updated>2025-09-04T11:51:28+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1</id>
            <title type="text"><![CDATA[Sim]]></title>
            <link rel="alternate" href="https://www.sim.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Build / Deploy Agent Workflows.

Launch agentic workflows with an open source, user-friendly environment for devs and agents.

 Sim is an open-source AI agent workflow builder. Sim Studio&amp;#039;s interface is a lightweight, intuitive way to quickly build and deploy LLMs that connect with your favorite tools. 

- [Sim @ GitHub](https://github.com/simstudioai/sim).

Related contents:

- [Sim Studio - Créez vos workflows d&amp;#039;agents IA aussi facilement que quand vous dessinez sur Figma @ Korben :fr:](https://korben.info/sim-studio-workflows-agents-ia-open-source.html).]]>
            </summary>
            <updated>2025-12-16T10:25:24+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7</id>
            <title type="text"><![CDATA[AGENTS.md]]></title>
            <link rel="alternate" href="https://agents.md/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A simple, open format for guiding coding agents,
used by over 20k open-source projects.

Think of AGENTS.md as a README for agents: a dedicated, predictable place to provide the context and instructions to help AI coding agents work on your project.

- [AGENTS.md @ GitHub](https://github.com/openai/agents.md).

Related contents:

- [Improve your AI code output with AGENTS.md (+ my best tips) @ builder.io](https://www.builder.io/blog/agents-md).
- [\#118 - Les news sur le développement web et l&amp;#039;IA pour septembre 2025 RC1 @ Double Slash :fr:](https://double-slash.dev/podcasts/sept25-rc1/).
- [Optimizing repos for AI @ Tom Bedor&amp;#039;s Blog](https://tombedor.dev/optimizing-repos-for-ai/).
- [How to write a great agents.md: Lessons from over 2,500 repositories @ GitHub Blog](https://github.blog/ai-and-ml/github-copilot/how-to-write-a-great-agents-md-lessons-from-over-2500-repositories/).
- [Writing a good CLAUDE.md @ humanlayer](https://www.humanlayer.dev/blog/writing-a-good-claude-md).
- [Streamlining my user-level CLAUDE.md @ chris dzombak](https://www.dzombak.com/blog/2025/12/streamlining-my-user-level-claude-md/).
- [The Complete Guide to CLAUDE.md @ builder.io](https://www.builder.io/blog/claude-md-guide).
- [How to build self-improving coding agents - Part 1 @ Eric J Ma&amp;#039;s Website](https://ericmjl.github.io/blog/2026/1/17/how-to-build-self-improving-coding-agents-part-1/).
- [AGENTS.md outperforms skills in our agent evals @ Vercel](https://vercel.com/blog/agents-md-outperforms-skills-in-our-agent-evals).
- [Evaluating AGENTS.md: Are Repository-Level Context Files Helpful for Coding Agents? @ arXiv](https://arxiv.org/abs/2602.11988).
- [Knowledge Priming @ martinFowler.com](https://martinfowler.com/articles/reduce-friction-ai/knowledge-priming.html).
- [J&amp;#039;ai mis deux IA en code review l&amp;#039;une contre l&amp;#039;autre — voici ce que ça donne @ Maxence Maireaux :fr:](https://maxence.maireaux.fr/fr/blog/mon-workflow-ia-claude-code-codex/).
- [Filesystems are having a moment @ madalitso.me](https://madalitso.me/notes/why-everyone-is-talking-about-filesystems/).
- [Your Docs Directory Is Doomed @ Jim Yagmin&amp;#039;s Blog](https://yagmin.com/blog/your-docs-directory-is-doomed/).
- [Stop Wasting Hours Writing Unit Tests: Use GitHub Copilot to Explode Code Coverage Fast @ Build5Nines](https://build5nines.com/stop-wasting-hours-writing-unit-tests-use-github-copilot-to-explode-code-coverage-fast/).]]>
            </summary>
            <updated>2026-06-04T07:03:14+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/9</id>
            <title type="text"><![CDATA[Zedless]]></title>
            <link rel="alternate" href="https://github.com/zedless-editor/zedless" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/9"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[(WIP) Zed fork focused on privacy and being local-first

This is Zedless, a fork of Zed that&amp;#039;s designed to be privacy-friendly and local-first.]]>
            </summary>
            <updated>2026-03-14T15:07:09+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11</id>
            <title type="text"><![CDATA[Enhance Lab :fr:]]></title>
            <link rel="alternate" href="https://enhancelab.fr/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[AI and inverse problems for a revolution in digital photography.

Related contents:

- [S5E21 - On a reçu le génie français qui révolutionne la vision artificielle
 @ Underscore_ :fr:](https://shows.acast.com/micode-underscore/episodes/on-a-recu-le-genie-francais-qui-revolutionne-la-vision-artif).]]>
            </summary>
            <updated>2025-09-03T10:04:33+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12</id>
            <title type="text"><![CDATA[Newelle]]></title>
            <link rel="alternate" href="https://newelle.qsk.me/#home" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Your Ultimate Virtual Assistant.

Experience the future of AI assistance with advanced customization, flexible model support, and seamless integration. Newelle brings you the power of AI with unmatched flexibility and control.

- [Newelle @ GitHub](https://github.com/qwersyk/Newelle).

Related contents:

- [Un agent IA débarque sur Linux ? @ Choses à Savoir TECH :fr:](https://shows.acast.com/choses-a-savoir-technologie/episodes/un-agent-ia-debarque-sur-linux).]]>
            </summary>
            <updated>2026-06-30T00:01:24+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/14</id>
            <title type="text"><![CDATA[Twick]]></title>
            <link rel="alternate" href="https://ncounterspecialist.github.io/twick/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/14"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[React SDK for Timeline-Based Video Editing.

AI-powered video editor SDK built with React. Features canvas timeline, drag-and-drop editing, AI captions, and serverless MP4 export. Perfect for building custom video apps. 

- [Twick @ GitHub](https://github.com/ncounterspecialist/twick).]]>
            </summary>
            <updated>2025-09-04T07:26:37+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/18</id>
            <title type="text"><![CDATA[Epicenter]]></title>
            <link rel="alternate" href="https://epicenter.so/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/18"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A Database for Your Mind.

One shared context across all your apps. Your transcripts inform your notes. Your notes guide your AI. Everything connects through a single folder of plain text and SQLite. 

Epicenter is an ecosystem of open-source, local-first apps. Our eventual goal is to store all of your data—notes, transcripts, chat histories—in a single folder of plain text and SQLite. Every tool we build shares this memory. It&amp;#039;s open, tweakable, and yours. Grep it, open it in Obsidian, host it wherever you like. The choice is yours.

- [Epicenter @ GitHub](https://github.com/epicenter-so/epicenter?utm_source=tldrwebdev).]]>
            </summary>
            <updated>2026-01-18T12:01:01+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/32</id>
            <title type="text"><![CDATA[RamaLama]]></title>
            <link rel="alternate" href="https://ramalama.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/32"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[RamaLama strives to make working with AI simple, straightforward, and familiar by using OCI containers. 

RamaLama is an open-source developer tool that simplifies the local serving of AI models from any source and facilitates their use for inference in production, all through the familiar language of containers. 

- [RamaLama @ GitHub](https://github.com/containers/ramalama).

Related contents:

- [Episode 616: From Boston to bootc @ Linux Unplugged](https://linuxunplugged.com/616).]]>
            </summary>
            <updated>2025-09-04T08:32:53+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/46</id>
            <title type="text"><![CDATA[Qwen/Qwen3-Embedding-0.6B @ Hugging Face]]></title>
            <link rel="alternate" href="https://huggingface.co/collections/Qwen/qwen3-67dd247413f0e2e4f653967f" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/46"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The Qwen3 Embedding model series is the latest proprietary model of the Qwen family, specifically designed for text embedding and ranking tasks. Building upon the dense foundational models of the Qwen3 series, it provides a comprehensive range of text embeddings and reranking models in various sizes (0.6B, 4B, and 8B). This series inherits the exceptional multilingual capabilities, long-text understanding, and reasoning skills of its foundational model. The Qwen3 Embedding series represents significant advancements in multiple text embedding and ranking tasks, including text retrieval, code retrieval, text classification, text clustering, and bitext mining.

Related contents:

- [Embedding Millions of Text Documents With Qwen3 @ daft](https://www.daft.ai/blog/embedding-millions-of-text-documents-with-qwen3).]]>
            </summary>
            <updated>2025-09-04T08:33:28+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/56</id>
            <title type="text"><![CDATA[Buttercup]]></title>
            <link rel="alternate" href="https://github.com/trailofbits/buttercup" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/56"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Buttercup is a Cyber Reasoning System (CRS) developed by Trail of Bits for the DARPA AIxCC (AI Cyber Challenge). Buttercup finds and patches software vulnerabilities in open-source code repositories like example-libpng. It starts by running an AI/ML-assisted fuzzing campaign (built on oss-fuzz) for the program. When vulnerabilities are found, Buttercup analyzes them and uses a multi-agent AI-driven patcher to repair the vulnerability.

Related contents:

- [Buttercup - L&amp;#039;IA qui trouve et patche automatiquement les failles de sécurité @ Korben :fr:](https://korben.info/buttercup-trouve-patche-automatiquement-failles-securite.html).]]>
            </summary>
            <updated>2025-09-04T08:40:36+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/66</id>
            <title type="text"><![CDATA[DataPup]]></title>
            <link rel="alternate" href="https://github.com/DataPupOrg/DataPup" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/66"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A modern, AI-assisted, cross-platform database client.

DataPup is an open-source database client designed to make database management intuitive and enjoyable. With AI-powered query assistance and a beautiful, accessible interface, it&amp;#039;s the database tool that developers actually want to use.]]>
            </summary>
            <updated>2025-09-17T07:07:23+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/75</id>
            <title type="text"><![CDATA[PHP AI Client]]></title>
            <link rel="alternate" href="https://github.com/WordPress/php-ai-client" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/75"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A provider agnostic PHP AI client SDK to communicate with any generative AI models of various capabilities using a uniform API.

Related contents:

- [API Abilities - Le langage universel de Wordpress pour unifier les composants IA @ Korben :fr:](https://korben.info/wordpress-ia-native-abilities-api-open-source.html).]]>
            </summary>
            <updated>2025-10-06T09:21:35+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/77</id>
            <title type="text"><![CDATA[YAMS]]></title>
            <link rel="alternate" href="https://yamsmemory.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/77"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Yet Another Memory System. Content addressable storage with excellent search.

Persistent memory for LLMs and applications. Content‑addressed storage with deduplication, compression, semantic search, and full‑text indexing.

- [YAMS @ GitHub](https://github.com/trvon/yams).]]>
            </summary>
            <updated>2025-09-17T19:31:03+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/78</id>
            <title type="text"><![CDATA[Kyutai STT]]></title>
            <link rel="alternate" href="https://kyutai.org/next/stt" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/78"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Kyutai&amp;#039;s Speech-To-Text and Text-To-Speech models based on the Delayed Streams Modeling framework. 

Kyutai STT is a streaming speech-to-text model architecture, providing an unmatched trade-off between latency and accuracy, perfect for interactive applications. Its support for batching allows for processing hundreds of concurrent conversations on a single GPU.

- [Kyutai STT &amp;amp; TTS @ GitHub](https://github.com/kyutai-labs/delayed-streams-modeling).

Related contents:

- [Transcribe speech 100x faster and 100x cheaper with open models @ Modal](https://modal.com/blog/fast-cheap-batch-transcription).]]>
            </summary>
            <updated>2026-02-11T07:15:28+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/79</id>
            <title type="text"><![CDATA[nvidia/canary-1b-flash @ Hugging Face]]></title>
            <link rel="alternate" href="https://huggingface.co/nvidia/canary-1b-flash" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/79"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[canary-1b-flash supports automatic speech-to-text recognition (ASR) in four languages (English, German, French, Spanish) and translation from English to German/French/Spanish and from German/French/Spanish to English with or without punctuation and capitalization (PnC).

Related contents:

- [Transcribe speech 100x faster and 100x cheaper with open models @ Modal](https://modal.com/blog/fast-cheap-batch-transcription).]]>
            </summary>
            <updated>2025-09-18T05:53:10+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/80</id>
            <title type="text"><![CDATA[nvidia/parakeet-tdt-0.6b-v2 @ Hugging Face]]></title>
            <link rel="alternate" href="https://huggingface.co/nvidia/parakeet-tdt-0.6b-v2" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/80"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[parakeet-tdt-0.6b-v2 is a 600-million-parameter automatic speech recognition (ASR) model designed for high-quality English transcription, featuring support for punctuation, capitalization, and accurate timestamp prediction.

Related contents:

- [Transcribe speech 100x faster and 100x cheaper with open models @ Modal](https://modal.com/blog/fast-cheap-batch-transcription).]]>
            </summary>
            <updated>2025-09-18T05:53:12+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/82</id>
            <title type="text"><![CDATA[coderunner-ui]]></title>
            <link rel="alternate" href="https://github.com/instavm/coderunner-ui" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/82"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Chat UI for Coderunner.

coderunner-ui is a local‑first AI workspace that lets you:

- Chat with local or remote LLMs
- Run generated code inside a fully isolated Apple Container VM
- Browse the web and automate tasks via a built‑in headless browser (Playwright) All without sending your data to the cloud.

Related contents:

- [I Want Everything Local — Building My Offline AI Workspace @ InstaVM](https://instavm.io/blog/building-my-offline-ai-workspace).]]>
            </summary>
            <updated>2025-09-17T19:31:15+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/83</id>
            <title type="text"><![CDATA[CodeRunner]]></title>
            <link rel="alternate" href="https://github.com/instavm/coderunner" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/83"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Run AI Generated Code Locally.
A secure local sandbox to run LLM-generated code using Apple containers.

CodeRunner is an MCP (Model Context Protocol) server that executes AI-generated code in a sandboxed environment on your Mac using Apple&amp;#039;s native containers.

Related contents:

- [I Want Everything Local — Building My Offline AI Workspace @ InstaVM](https://instavm.io/blog/building-my-offline-ai-workspace).
- [Accelerate developer productivity with these 9 open source AI and MCP projects @ GitHub blog](https://github.blog/open-source/accelerate-developer-productivity-with-these-9-open-source-ai-and-mcp-projects/).]]>
            </summary>
            <updated>2025-10-27T14:06:34+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/101</id>
            <title type="text"><![CDATA[Awesome Claude Code 🤝]]></title>
            <link rel="alternate" href="https://github.com/hesreallyhim/awesome-claude-code" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/101"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A curated list of awesome commands, files, and workflows for Claude Code.

This is a curated list of slash-commands, CLAUDE.md files, CLI tools, and other resources and guides for enhancing your Claude Code workflow, productivity, and vibes.]]>
            </summary>
            <updated>2025-09-18T11:23:20+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/102</id>
            <title type="text"><![CDATA[Context7]]></title>
            <link rel="alternate" href="https://context7.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/102"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Up-to-date documentation for LLMs and AI code editors.

- [Context7 MCP @ GitHub](https://github.com/upstash/context7).

Related contents:

- [Context7 - Vos assistants IA vont enfin arrêter d&amp;#039;utiliser de la doc obsolète @ Korben :fr:](https://korben.info/context7-documentation-ia-code-a-jour-tutoriel.html).]]>
            </summary>
            <updated>2025-12-08T11:37:12+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/103</id>
            <title type="text"><![CDATA[aicodeprep-gui]]></title>
            <link rel="alternate" href="https://wuu73.org/aicp/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/103"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The fast context maker. Surgical context engineering with a nice UI, Windows, Mac, Linux, BSD, anywhere where python &amp;amp; Qt run.

Take control of your AI&amp;#039;s context to get radically better bug-fixing and planning assistance. When you don&amp;#039;t tell the AIs about MCP servers and tools, you&amp;#039;ll be suprised at what they are capable of. 

- [aicodeprep-gui @ GitHub](https://github.com/detroittommy879/aicodeprep-gui).]]>
            </summary>
            <updated>2025-09-18T11:23:23+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/111</id>
            <title type="text"><![CDATA[CodeRabbit]]></title>
            <link rel="alternate" href="https://www.coderabbit.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/111"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Cut Code Review Time &amp;amp; Bugs in Half. Instantly.

Supercharge your team to ship faster with the most advanced AI code reviews.

Related contents:

- [How to do code reviews with AI tools @ Tech World With Milan Newsletter](https://newsletter.techworld-with-milan.com/p/how-to-do-code-reviews-with-ai-tools).
- [How We Exploited CodeRabbit: From a Simple PR to RCE and Write Access on 1M Repositories @ Kudelski Security Research](https://research.kudelskisecurity.com/2025/08/19/how-we-exploited-coderabbit-from-a-simple-pr-to-rce-and-write-access-on-1m-repositories/).]]>
            </summary>
            <updated>2026-03-14T15:08:35+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/121</id>
            <title type="text"><![CDATA[Open Lovable]]></title>
            <link rel="alternate" href="https://github.com/mendableai/open-lovable" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/121"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Chat with AI to build React apps instantly.

🔥 Clone and recreate any website as a modern React app in seconds.]]>
            </summary>
            <updated>2025-10-15T15:29:11+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/126</id>
            <title type="text"><![CDATA[Tensorlake]]></title>
            <link rel="alternate" href="https://www.tensorlake.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/126"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Context Engineering for AI Systems.

TensorLake transforms unstructured documents into AI-ready data through Document Ingestion APIs and enables building scalable data processing pipelines with a serverless workflow runtime. The platform handles the complexity of document parsing, data extraction, and workflow orchestration on fully managed infrastructure including GPU acceleration.

- [Tensorlake SDK @ GitHub](https://github.com/tensorlakeai/tensorlake).]]>
            </summary>
            <updated>2025-10-16T09:05:38+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/128</id>
            <title type="text"><![CDATA[POML (Prompt Orchestration Markup Language)]]></title>
            <link rel="alternate" href="https://microsoft.github.io/poml/latest/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/128"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[POML (Prompt Orchestration Markup Language) is a novel markup language designed to bring structure, maintainability, and versatility to advanced prompt engineering for Large Language Models (LLMs). It addresses common challenges in prompt development, such as lack of structure, complex data integration, format sensitivity, and inadequate tooling. POML provides a systematic way to organize prompt components, integrate diverse data types seamlessly, and manage presentation variations, empowering developers to create more sophisticated and reliable LLM applications.

- [POML (Prompt Orchestration Markup Language) @ GitHub](https://github.com/microsoft/poml).]]>
            </summary>
            <updated>2025-10-16T09:05:41+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/135</id>
            <title type="text"><![CDATA[Second Me]]></title>
            <link rel="alternate" href="https://www.secondme.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/135"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Train your AI self, amplify you, bridge the world.

 an open-source prototype where you craft your own AI self—a new AI species that preserves you, delivers your context, and defends your interests.

- [Second Me @ GitHub](https://github.com/mindverse/Second-Me).

Related contents:

- [Second Me - Créez votre jumeau virtuel en local @ Korben :fr:](https://korben.info/second-creez-votre-jumeau-numerique-local.html).]]>
            </summary>
            <updated>2025-10-16T12:06:13+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/137</id>
            <title type="text"><![CDATA[gpt-oss]]></title>
            <link rel="alternate" href="https://openai.com/open-models/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/137"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[gpt-oss-120b and gpt-oss-20b are two open-weight language models by OpenAI.

- [gpt-oss @ GitHub](https://github.com/openai/gpt-oss).
- [gpt-oss @ Ollama](https://ollama.com/library/gpt-oss).

Related contents:

- [OpenAI libère enfin ses modèles open-weight GPT-OSS - Comment les utiliser ? @ Korben :fr:](https://korben.info/openai-gpt-oss-modeles-open-weight-ollama-tutoriel.html).]]>
            </summary>
            <updated>2025-10-16T12:06:21+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/166</id>
            <title type="text"><![CDATA[Claude Code IDE for Emacs]]></title>
            <link rel="alternate" href="https://github.com/manzaltu/claude-code-ide.el" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/166"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Claude Code IDE integration for Emacs.

Claude Code IDE for Emacs provides native integration with Claude Code CLI through the Model Context Protocol (MCP). Unlike simple terminal wrappers, this package creates a bidirectional bridge between Claude and Emacs, enabling Claude to understand and leverage Emacs’ powerful features—from LSP and project management to custom Elisp functions. This transforms Claude into a true Emacs-aware AI assistant that works within your existing workflow and can interact with your entire Emacs ecosystem.]]>
            </summary>
            <updated>2026-03-24T14:25:29+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/173</id>
            <title type="text"><![CDATA[OpenAI Harmony]]></title>
            <link rel="alternate" href="https://github.com/openai/harmony" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/173"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Renderer for the harmony response format to be used with gpt-oss.

The gpt-oss models were trained on the harmony response format for defining conversation structures, generating reasoning output and structuring function calls. If you are not using gpt-oss directly but through an API or a provider like HuggingFace, Ollama, or vLLM, you will not have to be concerned about this as your inference solution will handle the formatting. If you are building your own inference solution, this guide will walk you through the prompt format. The format is designed to mimic the OpenAI Responses API, so if you have used that API before, this format should hopefully feel familiar to you. gpt-oss should not be used without using the harmony format as it will not work correctly.]]>
            </summary>
            <updated>2026-03-24T14:25:43+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/174</id>
            <title type="text"><![CDATA[tambo]]></title>
            <link rel="alternate" href="https://tambo.co/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/174"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Add React UI components to your AI agent.

A React package for building AI-powered applications with generative UI, where users interact through natural language. 

- [tambo  @ GitHub](https://github.com/tambo-ai/tambo).]]>
            </summary>
            <updated>2025-10-27T15:09:14+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/187</id>
            <title type="text"><![CDATA[ScreenCoder]]></title>
            <link rel="alternate" href="https://github.com/leigest519/ScreenCoder" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/187"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Advancing Visual-to-Code Generation for Front-End Automation via Modular Multimodal Agents.

Turn any UI screenshot into clean, editable HTML/CSS with full control. Fast, accurate, and easy to customize.]]>
            </summary>
            <updated>2025-09-18T15:26:06+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/192</id>
            <title type="text"><![CDATA[Qwen-Image]]></title>
            <link rel="alternate" href="https://github.com/QwenLM/Qwen-Image" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/192"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Qwen-Image is a powerful image generation foundation model capable of complex text rendering and precise image editing.

- [Qwen-Image @ Hugging Face](https://huggingface.co/Qwen/Qwen-Image).
- [Qwen-Image @ ModelScope :cn:](https://modelscope.cn/models/Qwen/Qwen-Image).
- [Qwen homepage](https://qwenlm.github.io/).

Related contents:

- [Qwen-Image: Crafting with Native Text Rendering @ Qwen blog](https://qwenlm.github.io/blog/qwen-image/).]]>
            </summary>
            <updated>2025-09-18T15:26:18+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/193</id>
            <title type="text"><![CDATA[A Vocabulary For Expressing AI Usage Preferences]]></title>
            <link rel="alternate" href="https://ietf-wg-aipref.github.io/drafts/draft-ietf-aipref-vocab.html?cf_target_id=_blank" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/193"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[This document proposes a standardized vocabulary for expressing preferences related to how digital assets are used by automated processing systems. This vocabulary allows for the creation of structured declarations about restrictions or permissions for use of digital assets by such systems.

Related contents:

- [Perplexity is using stealth, undeclared crawlers to evade website no-crawl directives @ Cloudflare Blog](https://blog.cloudflare.com/perplexity-is-using-stealth-undeclared-crawlers-to-evade-website-no-crawl-directives/).]]>
            </summary>
            <updated>2025-09-18T15:26:23+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/194</id>
            <title type="text"><![CDATA[Price Per Token]]></title>
            <link rel="alternate" href="https://pricepertoken.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/194"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[LLM API Pricing Data.

 Up-to-date pricing information for major LLM APIs including OpenAI, Anthropic, Google, and more. Compare costs across different AI models and find the best value for your use case. 

Related contents:

- [tokens are getting more expensive @ mandates](https://ethanding.substack.com/p/ai-subscriptions-get-short-squeezed).]]>
            </summary>
            <updated>2025-10-28T07:51:35+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/197</id>
            <title type="text"><![CDATA[🧠🤖Deep Agents]]></title>
            <link rel="alternate" href="https://github.com/hwchase17/deepagents?ref=blog.langchain.com" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/197"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Using an LLM to call tools in a loop is the simplest form of an agent. This architecture, however, can yield agents that are “shallow” and fail to plan and act over longer, more complex tasks. Applications like “Deep Research”, &amp;quot;Manus&amp;quot;, and “Claude Code” have gotten around this limitation by implementing a combination of four things: a planning tool, sub agents, access to a file system, and a detailed prompt.

deepagents is a Python package that implements these in a general purpose way so that you can easily create a Deep Agent for your application.]]>
            </summary>
            <updated>2025-10-16T09:08:25+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/198</id>
            <title type="text"><![CDATA[LangExtract]]></title>
            <link rel="alternate" href="https://github.com/google/langextract" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/198"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization. 

LangExtract is a Python library that uses LLMs to extract structured information from unstructured text documents based on user-defined instructions. It processes materials such as clinical notes or reports, identifying and organizing key details while ensuring the extracted data corresponds to the source text.

Related contents:

- [LangExtract - La nouvelle pépite de Google pour extraire des données structurées avec l&amp;#039;IA @ Korben :fr:](https://korben.info/langextract-la-nouvelle-pepite-de-google-pour-extraire-des-donnees-structurees-avec-lia.html).]]>
            </summary>
            <updated>2026-03-14T15:09:02+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/199</id>
            <title type="text"><![CDATA[TraceRoot.AI]]></title>
            <link rel="alternate" href="https://traceroot.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/199"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[TraceRoot is an open-source debugging platform that helps engineers fix production issues 10x faster by combining structured traces, logs, and source code context with AI-powered analysis.

- [TraceRoot.AI @ GitHub](https://github.com/traceroot-ai/traceroot).]]>
            </summary>
            <updated>2025-11-05T16:29:38+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/202</id>
            <title type="text"><![CDATA[Opal]]></title>
            <link rel="alternate" href="https://opal.withgoogle.com/landing/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/202"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Build, edit and share mini-AI apps using natural language.

Related contents:

- [Introducing Opal: describe, create, and share your AI mini-apps @ Google for Developers](https://developers.googleblog.com/en/introducing-opal/).
- [Opal de Google - Créez des mini-apps IA sans coder, juste en décrivant ce que vous voulez @ Korben :fr:](https://korben.info/opal-google-mini-apps-ia-no-code-workflow-visuel.html).]]>
            </summary>
            <updated>2025-10-20T09:19:05+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/205</id>
            <title type="text"><![CDATA[EU Artificial Intelligence Act]]></title>
            <link rel="alternate" href="https://artificialintelligenceact.eu/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/205"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Up-to-date developments and analyses of the EU AI Act.

Related contents:

- [AI Act - Le guide de survie pour les éditeurs web @ Korben :fr:](https://korben.info/act-guide-survie-editeurs-web-spoiler.html).]]>
            </summary>
            <updated>2025-11-05T06:45:50+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/226</id>
            <title type="text"><![CDATA[🦌 DeerFlow]]></title>
            <link rel="alternate" href="https://deerflow.tech/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/226"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Deep Research at Your Fingertipsat Your Fingertips

Meet DeerFlow, your personal Deep Research assistant. With powerful tools like search engines, web crawlers, Python and MCP services, it delivers instant insights, comprehensive reports, and even captivating podcasts.

 DeerFlow is a community-driven Deep Research framework, combining language models with tools like web search, crawling, and Python execution, while contributing back to the open-source community. 

- [🦌 DeerFlow @ GitHub](https://github.com/bytedance/deer-flow).]]>
            </summary>
            <updated>2025-10-27T15:09:32+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/229</id>
            <title type="text"><![CDATA[Sourcebot]]></title>
            <link rel="alternate" href="https://www.sourcebot.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/229"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Understand your codebase.The Code Understanding Tool.

Sourcebot is a self-hosted tool that helps you answer questions about your code.

- [Sourcebot @ GitHub](https://github.com/sourcebot-dev/sourcebot).]]>
            </summary>
            <updated>2025-10-20T09:18:53+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/240</id>
            <title type="text"><![CDATA[GoDoctor]]></title>
            <link rel="alternate" href="https://github.com/danicat/godoctor" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/240"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A Model Context Protocol server for Go developers.

GoDoctor is an intelligent, AI-powered companion for the modern Go developer. It integrates seamlessly with AI-powered IDEs and other development tools through the Model Context Protocol (MCP), providing a suite of powerful features to enhance your workflow.

- [How to Build an MCP Server with Gemini CLI and Go @ danicat.dev](https://danicat.dev/posts/20250729-how-to-build-an-mcp-server-with-gemini-cli-and-go/).]]>
            </summary>
            <updated>2026-04-09T09:11:15+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/245</id>
            <title type="text"><![CDATA[Crush]]></title>
            <link rel="alternate" href="https://github.com/charmbracelet/crush" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/245"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The glamourous AI coding agent for your favourite terminal 💘 

Your new coding bestie, now available in your favourite terminal.
Your tools, your code, and your workflows, wired into your LLM of choice.

Related contents:

- [Self-Hosting AI Models After Claude&amp;#039;s Usage Limits @ Peter Steinberger](https://steipete.me/posts/2025/self-hosting-ai-models).
- [Episode 627: The 2 a.m. Rescue @ Linux Matters](https://linuxunplugged.com/627).
- [Testing out Crush, a TUI based coding agent (in neovim btw) @ Graham Helton](https://grahamhelton.com/blog/crushing-it).
- [Coding for the Future Agentic World @ Elevate](https://addyo.substack.com/p/coding-for-the-future-agentic-world).]]>
            </summary>
            <updated>2025-11-20T08:05:52+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/270</id>
            <title type="text"><![CDATA[Grok CLI]]></title>
            <link rel="alternate" href="https://github.com/superagent-ai/grok-cli" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/270"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[An open-source AI agent that brings the power of Grok directly into your terminal.
A conversational AI CLI tool powered by Grok with intelligent text editor capabilities and tool usage.]]>
            </summary>
            <updated>2025-12-31T08:17:36+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/279</id>
            <title type="text"><![CDATA[UnMarker]]></title>
            <link rel="alternate" href="https://github.com/andrekassis/ai-watermark" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/279"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A Universal Attack on Defensive Image Watermarking.

Related contents:

- [UnMarker - L&amp;#039;outil qui ridiculise les watermarks des images IA @ Korben :fr:](https://korben.info/unmarker-outil-ridiculise-watermarks-images.html).]]>
            </summary>
            <updated>2025-11-12T16:25:02+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/295</id>
            <title type="text"><![CDATA[YouTube TLDR]]></title>
            <link rel="alternate" href="https://youtubetldr.onrender.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/295"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Enter a YouTube URL to get an AI-generated summary.

 ⚡ A lightweight, self-hosted YouTube video summarizer with Gemini AI 

- [YouTube TLDR @ GitHub](https://github.com/Milkshiift/YouTubeTLDR).]]>
            </summary>
            <updated>2025-12-31T14:23:03+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/304</id>
            <title type="text"><![CDATA[Mesop]]></title>
            <link rel="alternate" href="https://mesop-dev.github.io/mesop/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/304"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Rapidly build AI apps in Python.

Create web apps without the complexity of frontend development.
Used at Google for rapid AI app development. 

Mesop is a Python-based UI framework that allows you to rapidly build web apps like demos and internal apps.

- [Mesop @ GitHub](https://github.com/mesop-dev/mesop).]]>
            </summary>
            <updated>2026-01-19T15:55:49+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/314</id>
            <title type="text"><![CDATA[any-agent]]></title>
            <link rel="alternate" href="https://mozilla-ai.github.io/any-agent/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/314"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[any-agent is a Python library providing a single interface to different agent frameworks.

- [any-agent @ GitHub](https://github.com/mozilla-ai/any-agent).]]>
            </summary>
            <updated>2025-12-31T14:21:50+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/316</id>
            <title type="text"><![CDATA[kubectl-ai]]></title>
            <link rel="alternate" href="https://github.com/GoogleCloudPlatform/kubectl-ai" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/316"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[AI powered Kubernetes Assistant.

kubectl-ai acts as an intelligent interface, translating user intent into precise Kubernetes operations, making Kubernetes management more accessible and efficient.

Related contents:

- [kubectl AI - AI powered Kubernetes assistant @ Kubesimplify&amp;#039;s YouTube](https://www.youtube.com/watch?v=LFQpuZb_r6s).]]>
            </summary>
            <updated>2026-02-09T06:15:51+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/317</id>
            <title type="text"><![CDATA[any-llm]]></title>
            <link rel="alternate" href="https://mozilla-ai.github.io/any-llm/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/317"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Communicate with an LLM provider using a single interface.

any-llm is a Python library providing a single interface to different llm providers.

- [any-llm @ GitHub](https://github.com/mozilla-ai/any-llm).]]>
            </summary>
            <updated>2026-01-19T15:56:05+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/321</id>
            <title type="text"><![CDATA[Morphik]]></title>
            <link rel="alternate" href="https://www.morphik.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/321"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Build Agents that Never Hallucinate.
Deploy the most accurate RAG in the world in two lines of code.

 The most accurate document search and store for building AI apps.

- [Morphik @ GitHub](https://github.com/morphik-org/morphik-core).

Related contents:

- [Don&amp;#039;t bother parsing: Just use images for RAG @ Morphik](https://www.morphik.ai/blog/stop-parsing-docs).]]>
            </summary>
            <updated>2026-01-13T13:25:14+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/331</id>
            <title type="text"><![CDATA[am-i-vibing]]></title>
            <link rel="alternate" href="https://github.com/ascorbic/am-i-vibing" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/331"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Detect agentic coding environments and AI editors.

Detect agentic coding environments and AI assistant tools. This library allows CLI tools and Node apps to detect when they&amp;#039;re being executed by AI agents. This enables them to adapt by, for example, providing different output formats or logs.]]>
            </summary>
            <updated>2026-01-20T15:25:20+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/339</id>
            <title type="text"><![CDATA[Fireplexity]]></title>
            <link rel="alternate" href="https://tools.firecrawl.dev/fireplexity" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/339"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[AI-Powered Web Scraping &amp;amp; Data Enrichment.
AI-powered web search with instant results and follow-up questions.

 🔥 Blazing-fast AI search engine with real-time citations, streaming responses, and live data powered by Firecrawl 

- [Fireplexity @ GitHub](https://github.com/mendableai/fireplexity).

Related contents:

- [\#116: Les news sur le développement web et l&amp;#039;IA pour juillet 2025 RC1@ Double Slash :fr:](https://double-slash.dev/podcasts/news-jul25/).]]>
            </summary>
            <updated>2026-01-21T13:12:21+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/356</id>
            <title type="text"><![CDATA[Chainlit]]></title>
            <link rel="alternate" href="https://docs.chainlit.io/get-started/overview" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/356"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Chainlit is an open-source Python package to build production ready Conversational AI.

- [Chainlit @ GitHub](https://github.com/Chainlit/chainlit).

Related contents:

- [Prise en main de Chainlit @ DevSecOps :fr:](https://blog.stephane-robert.info/docs/developper/programmation/python/chainlit/).]]>
            </summary>
            <updated>2026-01-23T15:18:47+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/357</id>
            <title type="text"><![CDATA[Agent Development Kit]]></title>
            <link rel="alternate" href="https://google.github.io/adk-docs/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/357"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[An open-source, code-first Python or Java toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

Agent Development Kit (ADK) is a flexible and modular framework for developing and deploying AI agents. While optimized for Gemini and the Google ecosystem, ADK is model-agnostic, deployment-agnostic, and is built for compatibility with other frameworks. ADK was designed to make agent development feel more like software development, to make it easier for developers to create, deploy, and orchestrate agentic architectures that range from simple tasks to complex workflows.

- [Agent Development Kit (ADK) Python @ GitHub](https://github.com/google/adk-python).
- [Agent Development Kit (ADK) Java @ GitHub](https://github.com/google/adk-java).
- [Agent Development Kit (ADK) for Go @ GitHub](https://github.com/google/adk-go).

Related contents:

- [ADK architecture: When to use sub-agents versus agents as tools @ Google Cloud Blog](https://cloud.google.com/blog/topics/developers-practitioners/where-to-use-sub-agents-versus-agents-as-tools).]]>
            </summary>
            <updated>2025-11-19T06:35:25+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/358</id>
            <title type="text"><![CDATA[Mirai]]></title>
            <link rel="alternate" href="https://trymirai.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/358"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The future of on device AI.
Deploy high-performance AI directly in your app — with zero latency, full data privacy, and no inference costs.

Uzu is a high-performance inference engine for AI models on Apple Silicon.

- [uzu @ GitHub](https://github.com/trymirai/uzu).]]>
            </summary>
            <updated>2026-01-23T15:18:53+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/364</id>
            <title type="text"><![CDATA[Cursor]]></title>
            <link rel="alternate" href="https://cursor.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/364"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The AI Code Editor.

Related contents:

- [Les meilleures pratiques pour utiliser Cursor efficacement 🚀 (Guide complet) @ Camille Roux :fr:](https://www.camilleroux.com/les-meilleures-pratiques-pour-utiliser-cursor-efficacement-guide-complet/).
- [Inside Cursor @ Colossus](https://joincolossus.com/article/inside-cursor/).]]>
            </summary>
            <updated>2025-11-12T08:00:28+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/374</id>
            <title type="text"><![CDATA[🔔 WhoRang]]></title>
            <link rel="alternate" href="https://github.com/Beast12/who-rang" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/374"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[AI-Powered Doorbell Intelligence

Transform your doorbell into an intelligent visitor identification system with advanced face recognition, multi-provider AI analysis, and comprehensive visitor insights.]]>
            </summary>
            <updated>2026-02-11T07:14:46+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/382</id>
            <title type="text"><![CDATA[Vibe Kanban]]></title>
            <link rel="alternate" href="https://www.vibekanban.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/382"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Orchestrate AI Coding Agents.
Kanban board to manage your AI coding agents.

AI coding agents are increasingly writing the world&amp;#039;s code and human engineers now spend the majority of their time planning, reviewing, and orchestrating tasks. Vibe Kanban streamlines this process.

- [Vibe Kanban @ GitHub](https://github.com/BloopAI/vibe-kanban).

Related contents:

- [Software Engineering Is Becoming Plan and Review — Louis Knight-Webb, Vibe Kanban @ AI Engineer&amp;#039;s YouTube](https://www.youtube.com/watch?v=W76woOYHlvY).
- [\#131: News Mai 2026, TypeScript 7 en beta, faux package TanStack et agent Cursor destructeur @ Double Slash :fr:](https://double-slash.dev/podcasts/news-mai26/).]]>
            </summary>
            <updated>2026-06-04T05:37:24+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/388</id>
            <title type="text"><![CDATA[LangFast - Prompt Playground]]></title>
            <link rel="alternate" href="https://langfa.st/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/388"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A simple prompt playground to test and share your prompt templates.

A tool for testing, debugging, and refining AI prompts. Supports variables, templates to improve prompt quality and speed up development.]]>
            </summary>
            <updated>2026-01-20T15:32:24+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/392</id>
            <title type="text"><![CDATA[React Native ExecuTorch]]></title>
            <link rel="alternate" href="https://docs.swmansion.com/react-native-executorch/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/392"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Declarative way to run AI models in React Native on device, powered by ExecuTorch.

React Native ExecuTorch is a declarative way to run AI models in React Native on device, powered by ExecuTorch 🚀. It offers out-of-the-box support for many LLMs, computer vision models, and many many more. Feel free to check them out on our HuggingFace page.

ExecuTorch is a novel framework created by Meta that enables running AI models on devices such as mobile phones or microcontrollers.

- [React Native ExecuTorch @ GitHub](https://github.com/software-mansion/react-native-executorch).

Related contents:

- [Introducing React Native RAG: Local &amp;amp; Offline Retrieval-Augmented Generation @ Software Mansion&amp;#039;s Medium](https://blog.swmansion.com/introducing-react-native-rag-fbb62efa4991).]]>
            </summary>
            <updated>2026-01-20T15:31:46+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/414</id>
            <title type="text"><![CDATA[Zero]]></title>
            <link rel="alternate" href="https://0.email/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/414"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[AI Powered Email, Built to Save You Time
Zero is an AI-native email client that manages your inbox, so you don&amp;#039;t have to.

Zero is an open-source AI email solution that gives users the power to self-host their own email app while also integrating external services like Gmail and other email providers. Our goal is to modernize and improve emails through AI agents to truly modernize emails.

- [Zero @ GitHub](https://github.com/Mail-0/Zero).]]>
            </summary>
            <updated>2025-08-28T17:06:48+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/419</id>
            <title type="text"><![CDATA[opencode]]></title>
            <link rel="alternate" href="https://opencode.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/419"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[AI coding agent built for the terminal.

- [opencode @ GitHub](https://github.com/sst/opencode).

Related contents:

- [Self-Hosting AI Models After Claude&amp;#039;s Usage Limits @ Peter Steinberger](https://steipete.me/posts/2025/self-hosting-ai-models).
- [OpenCode vs Claude Code @ builder.io](https://www.builder.io/blog/opencode-vs-claude-code).
- [How to Integrate AI into Your Terminal Using OpenCode @ freeCodeCamp](https://www.freecodecamp.org/news/integrate-ai-into-your-terminal-using-opencode/).
- [Subagents: When and How to Use Them @ builder.io](https://www.builder.io/blog/subagents).
- [Stop Using OpenCode @ Luke Wren](https://wren.wtf/shower-thoughts/stop-using-opencode/).]]>
            </summary>
            <updated>2026-07-21T12:14:40+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/423</id>
            <title type="text"><![CDATA[Mastering GitHub Copilot]]></title>
            <link rel="alternate" href="https://github.com/microsoft/Mastering-GitHub-Copilot-for-Paired-Programming" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/423"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A multi-module course teaching everything you need to know about using GitHub Copilot as an AI Peer Programming resource.

Related contents:

- [Microsoft lance une formation gratuite de 10h pour maîtriser GitHub Copilot et son mode agent @ Korben :fr:](https://korben.info/microsoft-lance-formation-gratuite-10h-maitriser.html).]]>
            </summary>
            <updated>2025-08-28T17:07:51+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/468</id>
            <title type="text"><![CDATA[Git Smart Squash]]></title>
            <link rel="alternate" href="https://github.com/edverma/git-smart-squash" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/468"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Use AI to transform your messy commit history into clean, logical commits that reviewers will love.

Git Smart Squash uses AI to automatically organize your changes into logical, well-structured commits in seconds.

Related contents:

- [Lundi 30 Juin 2025 - \#44 : un édito engagé et qui dénonce (parce que j&amp;#039;avais trop bu). @ RudeOps :fr:](https://join.rudeops.com/emails/webview/325165/158626394213975615).]]>
            </summary>
            <updated>2025-08-28T17:15:52+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/471</id>
            <title type="text"><![CDATA[SuperClaude]]></title>
            <link rel="alternate" href="https://github.com/NomenAK/SuperClaude" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/471"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A configuration framework that enhances Claude Code with specialized commands, cognitive personas, and development methodologies.

Related contents: 

- [SuperClaude - Le framework qui transforme Claude Code en machine de guerre @ Korben :fr:](https://korben.info/superclaude-framework-debride-potentiel-claude-code.html).]]>
            </summary>
            <updated>2025-08-28T17:15:54+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/472</id>
            <title type="text"><![CDATA[Comet Browser by Perplexity]]></title>
            <link rel="alternate" href="https://www.perplexity.ai/comet" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/472"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Related contents:

- [Perplexity’s Comet Browser is Now Available in Beta @ Analytics India Magazine](https://analyticsindiamag.com/ai-news-updates/perplexitys-comet-browser-is-now-available-in-beta/).
- [Comet - Le navigateur IA de Perplexity débarque sur Windows @ Korben :fr:](https://korben.info/comet-navigateur-ia-perplexity-windows-beta.html).
- [Agentic Browser Security: Indirect Prompt Injection in Perplexity Comet @ Brave](https://brave.com/blog/comet-prompt-injection/).]]>
            </summary>
            <updated>2025-09-19T05:55:56+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/481</id>
            <title type="text"><![CDATA[AI Dataset Generator]]></title>
            <link rel="alternate" href="https://github.com/metabase/dataset-generator" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/481"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Generate realistic datasets for demos, learning, and dashboards. Instantly preview data, export as CSV or SQL, and explore with Metabase.]]>
            </summary>
            <updated>2025-08-28T17:17:59+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/497</id>
            <title type="text"><![CDATA[RTranslator]]></title>
            <link rel="alternate" href="https://github.com/niedev/RTranslator" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/497"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open source real-time translation app for Android that runs locally.

RTranslator is an (almost) open-source, free, and offline real-time translation app for Android.

Connect to someone who has the app, connect Bluetooth headphones, put the phone in your pocket and you can have a conversation as if the other person spoke your language.]]>
            </summary>
            <updated>2025-08-28T17:21:56+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/507</id>
            <title type="text"><![CDATA[SnapQL]]></title>
            <link rel="alternate" href="https://github.com/NickTikhonov/snap-ql" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/507"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[AI-powered Postgres Client.
cursor for data ⚡️ - explore your postgresql db in seconds.]]>
            </summary>
            <updated>2025-08-28T17:22:00+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/512</id>
            <title type="text"><![CDATA[Immich MediaKit]]></title>
            <link rel="alternate" href="https://github.com/RazgrizHsu/immich-mediakit" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/512"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[An extension toolkit for Immich enabling advanced management capabilities through AI-powered similarity detection]]>
            </summary>
            <updated>2025-08-28T17:22:58+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/519</id>
            <title type="text"><![CDATA[🎯 Claude Code Usage Monitor]]></title>
            <link rel="alternate" href="https://github.com/Maciek-roboblog/Claude-Code-Usage-Monitor" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/519"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Real-time Claude Code usage monitor with predictions and warnings.

A beautiful real-time terminal monitoring tool for Claude AI token usage. Track your token consumption, burn rate, and get predictions about when you&amp;#039;ll run out of tokens.]]>
            </summary>
            <updated>2025-12-16T07:11:48+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/522</id>
            <title type="text"><![CDATA[KServe]]></title>
            <link rel="alternate" href="https://kserve.github.io/website/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/522"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Standardized Serverless ML Inference Platform on Kubernetes.
Highly scalable and standards based
Model Inference Platform on Kubernetes
for Trusted AI.

KServe provides a Kubernetes Custom Resource Definition for serving predictive and generative machine learning (ML) models. It aims to solve production model serving use cases by providing high abstraction interfaces for Tensorflow, XGBoost, ScikitLearn, PyTorch, Huggingface Transformer/LLM models using standardized data plane protocols.

- [KServe @ GitHub](https://github.com/kserve/kserve).

Related contents:

- [KServe becomes a CNCF incubating project @ CNCF Blog](https://www.cncf.io/blog/2025/11/11/kserve-becomes-a-cncf-incubating-project/).]]>
            </summary>
            <updated>2025-11-12T14:37:18+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/529</id>
            <title type="text"><![CDATA[Stagehand]]></title>
            <link rel="alternate" href="https://www.stagehand.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/529"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A browser automation SDK built for developers and LLMs.

Most existing browser automation tools either require you to write low-level code in a framework like Selenium, Playwright, or Puppeteer, or use high-level agents that can be unpredictable in production. By letting developers choose what to write in code vs. natural language, Stagehand is the natural choice for browser automations in production.

- [Stagehand @ GitHub](https://github.com/browserbase/stagehand).]]>
            </summary>
            <updated>2025-08-28T17:26:01+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/530</id>
            <title type="text"><![CDATA[Genkit]]></title>
            <link rel="alternate" href="https://github.com/firebase/genkit?tab=readme-ov-file" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/530"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[An open source framework for building AI-powered apps with familiar code-centric patterns. Genkit makes it easy to develop, integrate, and test AI features with observability and evaluations. Genkit works with various models and platforms.

Genkit is an open-source framework for building full-stack AI-powered applications, built and used in production by Google&amp;#039;s Firebase. It provides SDKs for multiple programming languages with varying levels of stability]]>
            </summary>
            <updated>2025-08-28T17:26:02+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/598</id>
            <title type="text"><![CDATA[Paws-on-MCP]]></title>
            <link rel="alternate" href="https://github.com/hemanth/paws-on-mcp" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/598"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Unified MCP Server Implementation.

A comprehensive Model Context Protocol (MCP) server implementing the latest MCP 2025-03-26 specification. Demonstrates MCP capabilities including tools, resources, prompts, roots, and enhanced sampling with model preferences. Features HackerNews and GitHub API integrations with AI-powered analysis through advanced MCP sampling.]]>
            </summary>
            <updated>2025-08-28T17:38:06+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/609</id>
            <title type="text"><![CDATA[prompt-kit]]></title>
            <link rel="alternate" href="https://www.prompt-kit.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/609"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Core building blocks for AI apps.
High-quality, accessible, and customizable components for AI interfaces. 

Build chat experiences, AI agents, autonomous assistants, and more, quickly and beautifully.

- [prompt-kit @ GitHub](https://github.com/ibelick/prompt-kit).]]>
            </summary>
            <updated>2025-08-28T17:39:06+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/620</id>
            <title type="text"><![CDATA[Claude Composer]]></title>
            <link rel="alternate" href="https://github.com/possibilities/claude-composer" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/620"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A tool that adds small enhancements to Claude Code.


- Reduced interruptions: Auto-handles permission dialogs based on configurable rules
- Flexible control: Rulesets define which actions to allow automatically
- Tool management: Toolsets configure which tools Claude can use
- Enhanced visibility: System notifications keep you informed]]>
            </summary>
            <updated>2025-08-28T17:42:07+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/630</id>
            <title type="text"><![CDATA[BrowserBee]]></title>
            <link rel="alternate" href="https://parsaghaffari.github.io/browserbee/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/630"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[🐝 AI-powered browser assistant (&amp;quot;Cline for web browsing&amp;quot;).

- [BrowserBee @ GitHub](https://github.com/parsaghaffari/browserbee).]]>
            </summary>
            <updated>2025-08-28T17:43:05+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/633</id>
            <title type="text"><![CDATA[FastMCP]]></title>
            <link rel="alternate" href="https://gofastmcp.com/getting-started/welcome" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/633"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The fast, Pythonic way to build MCP servers and clients.

The Model Context Protocol (MCP) is a new, standardized way to provide context and tools to your LLMs, and FastMCP makes building MCP servers and clients simple and intuitive. Create tools, expose resources, define prompts, and more with clean, Pythonic code.

- [FastMCP @ GitHub](https://github.com/jlowin/fastmcp).
- [FastMCP Cloud](https://fastmcp.cloud/).

Related contents:

- [An Open-Source Maintainer&amp;#039;s Guide to Saying No @ Mostly Harmless](https://www.jlowin.dev/blog/oss-maintainers-guide-to-saying-no).
- [Learn MCP Essentials and How to Create Secure Agent Interfaces with FastMCP @ freeCodeCamp](https://www.freecodecamp.org/news/learn-mcp-essentials-and-how-to-create-secure-agent-interfaces-with-fastmcp/).
- [Build and Deploy a Remote MCP Server to GKE in 30 Minutes @ Google Cloud Blog](https://cloud.google.com/blog/topics/developers-practitioners/build-and-deploy-a-remote-mcp-server-to-gke-in-30-minutes/).]]>
            </summary>
            <updated>2026-06-24T11:51:51+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/637</id>
            <title type="text"><![CDATA[KAI Scheduler]]></title>
            <link rel="alternate" href="https://github.com/NVIDIA/KAI-Scheduler" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/637"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[KAI Scheduler is an open source Kubernetes Native scheduler for AI workloads at large scale]]>
            </summary>
            <updated>2025-08-28T17:44:06+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/646</id>
            <title type="text"><![CDATA[AgenticSeek]]></title>
            <link rel="alternate" href="https://fosowl.github.io/agenticSeek.html" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/646"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Private AI Assistant.
 A fully local alternative to Manus AI. Voice-enabled AI assistant that autonomously browses the web, writes code, and plans tasks while keeping all data on your device.

- [AgenticSeek @ GitHub](https://github.com/Fosowl/agenticSeek}.]]>
            </summary>
            <updated>2025-08-28T17:46:14+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/664</id>
            <title type="text"><![CDATA[🐚 MCP Server in Bash]]></title>
            <link rel="alternate" href="https://github.com/muthuishere/mcp-server-bash-sdk" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/664"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A lightweight, zero-overhead implementation of the Model Context Protocol (MCP) server in pure Bash.

Why? Most MCP servers are just API wrappers with schema conversion. This implementation provides a zero-overhead alternative to Node.js, Python, or other heavy runtimes.]]>
            </summary>
            <updated>2025-08-28T17:48:10+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/668</id>
            <title type="text"><![CDATA[https://github.com/WellApp-ai/Well/tree/main/ai-invoice-extractor]]></title>
            <link rel="alternate" href="http://ai-invoice-extractor" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/668"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Extract Receipt &amp;amp; Invoice Data.
Lightweight, customizable and open source.

Related contents:

- [AI Invoice Extractor - L&amp;#039;IA qui dévore vos factures pour vous épargner l&amp;#039;enfer de la compta @ Korben :fr:](https://korben.info/ai-invoice-extractor-ia-factures-open-source.html).]]>
            </summary>
            <updated>2025-08-28T17:50:11+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/673</id>
            <title type="text"><![CDATA[LLM]]></title>
            <link rel="alternate" href="https://llm.datasette.io/en/stable/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/673"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A CLI utility and Python library for interacting with Large Language Models.

A CLI tool and Python library for interacting with OpenAI, Anthropic’s Claude, Google’s Gemini, Meta’s Llama and dozens of other Large Language Models, both via remote APIs and with models that can be installed and run on your own machine.

- [LLM @ GitHub](https://github.com/simonw/llm/).
- [llm-openrouter @ GitHub](https://github.com/simonw/llm-openrouter).

Related contents:

- [Large Language Models can run tools in your terminal with LLM 0.26 @ Simon Willison’s Weblog](https://simonwillison.net/2025/May/27/llm-tools/).
- [Using AI Without Leaving the Terminal: A Guide to llm @ Ashwin&amp;#039;s Blog](https://kashw1n.com/blog/llm-cli/).
- [Evaluating LLMs for my personal use case @ Graham King](https://darkcoding.net/software/personal-ai-evals-aug-2025/).
- [Kimi K3, and what we can still learn from the pelican benchmark @ Simon Willison’s Weblog](https://simonwillison.net/2026/Jul/16/kimi-k3/).]]>
            </summary>
            <updated>2026-07-21T06:28:39+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/676</id>
            <title type="text"><![CDATA[Memvid]]></title>
            <link rel="alternate" href="https://github.com/Olow304/memvid" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/676"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Video-Based AI Memory 🧠📹.

Video-based AI memory library. Store millions of text chunks in MP4 files with lightning-fast semantic search. No database needed. 

Memvid revolutionizes AI memory management by encoding text data into videos, enabling lightning-fast semantic search across millions of text chunks with sub-second retrieval times. Unlike traditional vector databases that consume massive amounts of RAM and storage, Memvid compresses your knowledge base into compact video files while maintaining instant access to any piece of information.]]>
            </summary>
            <updated>2025-08-28T17:50:24+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/697</id>
            <title type="text"><![CDATA[HelixDB]]></title>
            <link rel="alternate" href="https://www.helix-db.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/697"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Native Graph-Vector Database.

HelixDB is a powerful, open-source, graph-vector database built in Rust for intelligent data storage for RAG and AI. 

- [HelixDB @ GitHub](https://github.com/HelixDB/helix-db/).]]>
            </summary>
            <updated>2025-08-28T17:54:15+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/704</id>
            <title type="text"><![CDATA[Airweave]]></title>
            <link rel="alternate" href="https://airweave.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/704"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Turn Apps Into Agent-Ready Knowledge.
Empower Agents with Deep Knowledge About Their Users. 
Give Users the Experience They Deserve

Airweave is a tool that lets agents semantically search any app. It&amp;#039;s MCP compatible and seamlessly connects any app, database, or API, to transform their contents into agent-ready knowledge.

Airweave simplifies the process of making information retrievable for your agent. Whether you have structured or unstructured data, Airweave helps you break it into processable entities, store the data and make it retrievable through REST and MCP endpoints.

- [Airweave @ GitHub](https://github.com/airweave-ai/airweave).]]>
            </summary>
            <updated>2025-08-28T17:55:12+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/728</id>
            <title type="text"><![CDATA[Brokk]]></title>
            <link rel="alternate" href="https://brokk.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/728"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[AI for Large Codebases

The first AI-native code platform that gives large projects compiler-grade context, so LLMs stay useful even when your repo spans millions of lines.

Brokk (the Norse god of the forge) is the first code assistant that understands code semantically, not just as chunks of text. Brokk is designed to allow LLMs to work effectively on large codebases that cannot be jammed entirely into working context.

- [Brokk @ GitHub](https://github.com/brokkai/brokk).]]>
            </summary>
            <updated>2025-08-28T17:59:14+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/735</id>
            <title type="text"><![CDATA[Ktransformers]]></title>
            <link rel="alternate" href="https://kvcache-ai.github.io/ktransformers/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/735"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A Flexible Framework for Experiencing Cutting-edge LLM Inference Optimizations.

 KTransformers, pronounced as Quick Transformers, is designed to enhance your 🤗 Transformers experience with advanced kernel optimizations and placement/parallelism strategies.

KTransformers is a flexible, Python-centric framework designed with extensibility at its core. By implementing and injecting an optimized module with a single line of code, users gain access to a Transformers-compatible interface, RESTful APIs compliant with OpenAI and Ollama, and even a simplified ChatGPT-like web UI. 

- [Ktransformers @ GitHub](https://github.com/kvcache-ai/ktransformers).]]>
            </summary>
            <updated>2025-08-28T18:00:14+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/745</id>
            <title type="text"><![CDATA[Kortix Suna]]></title>
            <link rel="alternate" href="https://www.suna.so/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/745"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Suna by Kortix – is a generalist AI Agent that acts on your behalf.

Suna is a fully open source AI assistant that helps you accomplish real-world tasks with ease. Through natural conversation, Suna becomes your digital companion for research, data analysis, and everyday challenges—combining powerful capabilities with an intuitive interface that understands what you need and delivers results.

- [Suna @ GitHub](https://github.com/kortix-ai/suna).]]>
            </summary>
            <updated>2025-08-28T18:02:20+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/755</id>
            <title type="text"><![CDATA[Klavis AI]]></title>
            <link rel="alternate" href="https://www.klavis.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/755"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[MCP Integrationfor AI Applications

The best way to get access to production-ready MCP servers at scale.

Klavis AI makes it effortless to connect to production-ready MCP servers &amp;amp; clients at scale. Integrate with your AI application in under a minute, and scale to millions of users using our open-source infrastructure, hosted servers, and multi-platform clients!

- [Klavis AI @ GitHub](https://github.com/Klavis-AI/klavis).]]>
            </summary>
            <updated>2025-08-28T18:03:18+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/759</id>
            <title type="text"><![CDATA[ACI.dev]]></title>
            <link rel="alternate" href="https://www.aci.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/759"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[integrate LLM with any tool. ACI: Open-Source Infra to Power Unified MCP Servers.

ACI.dev is the open-source infrastructure layer for AI-agent tool-use. It gives your agents intent-aware access to 600+ tools with multi-tenant auth, granular permissions, and dynamic tool discovery—exposed as either direct function calls or through a Unified Model-Context-Protocol (MCP) server. 

 ACI.dev is the open source platform that connects your AI agents to 600+ tool integrations with multi-tenant auth, granular permissions, and access through direct function calling or a unified MCP server. 

- [ACI.dev @ GitHub](https://github.com/aipotheosis-labs/aci).]]>
            </summary>
            <updated>2025-08-28T18:04:17+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/779</id>
            <title type="text"><![CDATA[Gemini Coder]]></title>
            <link rel="alternate" href="https://gemini-coder.netlify.app/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/779"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[free AI coding.
 Non-agentic 100% free &amp;amp; open source coding tool for AI-assisted programming. 

Copy folders and files for chatbots or initialize them hands-free! Use built-in API Tools for code completions, file refactoring and applying chat responses.

- [Gemini Coder @ GitHub](https://github.com/robertpiosik/gemini-coder).]]>
            </summary>
            <updated>2025-08-28T18:07:20+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/781</id>
            <title type="text"><![CDATA[AWS Cost Explorer and Amazon Bedrock Model Invocation Logs MCP Server &amp;amp; Client]]></title>
            <link rel="alternate" href="https://github.com/aarora79/aws-cost-explorer-mcp-server" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/781"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[MCP server for understanding AWS spend.

An MCP server for getting AWS spend data via Cost Explorer and Amazon Bedrock usage data via Model invocation logs in Amazon Cloud Watch through Anthropic&amp;#039;s MCP (Model Control Protocol).]]>
            </summary>
            <updated>2025-08-28T18:08:18+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/790</id>
            <title type="text"><![CDATA[CoRT (Chain of Recursive Thoughts) 🧠🔄]]></title>
            <link rel="alternate" href="https://github.com/PhialsBasement/Chain-of-Recursive-Thoughts" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/790"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[I made my AI think harder by making it argue with itself repeatedly. It works stupidly well. 

CoRT makes AI models recursively think about their responses, generate alternatives, and pick the best one. It&amp;#039;s like giving the AI the ability to doubt itself and try again... and again... and again.]]>
            </summary>
            <updated>2025-08-28T18:10:22+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/799</id>
            <title type="text"><![CDATA[CleverBee]]></title>
            <link rel="alternate" href="https://cleverb.ee/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/799"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Transparent AI, Rooted in Research, Open to All.
The Open Source Deep Researcher Tool.
AI-Powered Online Data Information Synthesis Assistant.

CleverBee is a powerful Python-based research assistant agent using Large Language Models (LLMs) like Claude and Gemini, Playwright for web browsing, and Chainlit for an interactive UI. It performs research assistance by browsing the web, extracting content (HTML), cleaning it, and synthesizing findings based on user research topics.

- [CleverBee @ GitHub](https://github.com/SureScaleAI/cleverbee).]]>
            </summary>
            <updated>2025-08-28T18:10:29+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/810</id>
            <title type="text"><![CDATA[Magnitude]]></title>
            <link rel="alternate" href="https://magnitude.run/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/810"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open source, AI-native testing framework for web apps.

End-to-end testing framework powered by visual AI agents that see your interface and adapt to any changes in it.

- [Magnitude @ GitHub](https://github.com/magnitudedev/magnitude).]]>
            </summary>
            <updated>2025-08-28T18:12:23+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/823</id>
            <title type="text"><![CDATA[Boson]]></title>
            <link rel="alternate" href="https://github.com/bosonstack/boson" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/823"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A self-contained, lightweight and OOB research platform for modern ML.

Boson is a lightweight, fully containerized, and feature-rich machine learning research platform. It centralizes essential tools to help teams keep projects lean, organized, and reproducible—while reducing overhead and boosting productivity. Think Databricks/Sagemaker but local and free.

Boson enables engineers and researchers to iterate faster without getting bogged down by infrastructure or tooling complexity.]]>
            </summary>
            <updated>2025-08-28T18:14:29+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/846</id>
            <title type="text"><![CDATA[c/ua]]></title>
            <link rel="alternate" href="https://www.trycua.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/846"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[macOS &amp;amp; Linux Containers for Computer-Use AI Agents on Apple Silicon.
Run Docker Containers for Computer-Use AI Agents on Apple Silicon.

TL;DR: c/ua (pronounced &amp;quot;koo-ah&amp;quot;, short for Computer-Use Agent) is a framework that enables AI agents to control full operating systems within high-performance, lightweight virtual containers. It delivers up to 97% native speed on Apple Silicon and works with any vision language models.

- [c/ua @ GitHub](https://github.com/trycua/cua).]]>
            </summary>
            <updated>2025-08-28T18:18:30+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/849</id>
            <title type="text"><![CDATA[Index]]></title>
            <link rel="alternate" href="https://github.com/lmnr-ai/index" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/849"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open-Source Browser Agent for autonomously performing complex tasks on the web]]>
            </summary>
            <updated>2025-08-28T18:19:25+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/891</id>
            <title type="text"><![CDATA[Cline]]></title>
            <link rel="alternate" href="https://cline.bot/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/891"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[AI Autonomous Coding Agent for VS Code.

 Autonomous coding agent right in your IDE, capable of creating/editing files, executing commands, using the browser, and more with your permission every step of the way. 

- [Cline @ GitHub](https://github.com/cline/cline).

Related contents:

- [Épisode \#108 - Les news web dev pour Mars 2025 RC2 @ Double Slash :fr:](https://double-slash.dev/podcasts/news-mars-rc2/).
- [Using Skills with Cline @ Data Science Collective](https://medium.com/data-science-collective/using-skills-with-cline-3acf2e289a7c).]]>
            </summary>
            <updated>2026-01-15T07:46:08+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/899</id>
            <title type="text"><![CDATA[MCP Containers]]></title>
            <link rel="alternate" href="https://metorial.com/mcp/containers" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/899"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Containerized versions of hundreds of MCP servers 📡 🧠 

While experimenting with Model Context Protocol (MCP) servers, we found that setting them up could be a bit tedious and time-consuming. To simplify the process, we created containerized versions of these servers—making it quick, easy, and secure for anyone to get started.

- [MCP Containers @ GitHub](https://github.com/metorial/mcp-containers).]]>
            </summary>
            <updated>2025-08-28T18:27:31+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/906</id>
            <title type="text"><![CDATA[sidekick-cli]]></title>
            <link rel="alternate" href="https://github.com/geekforbrains/sidekick-cli" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/906"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Your agentic CLI developer.

Sidekick is an agentic CLI-based AI tool inspired by Claude Code, Copilot, Windsurf and Cursor. It&amp;#039;s meant to be an open source alternative to these tools, providing a similar experience but with the flexibility of using different LLM providers while keeping the agentic workflow.]]>
            </summary>
            <updated>2025-08-28T18:28:32+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/954</id>
            <title type="text"><![CDATA[awesome-ai-system-prompts]]></title>
            <link rel="alternate" href="https://github.com/dontriskit/awesome-ai-system-prompts" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/954"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Crafting Effective Prompts for Agentic AI Systems: Patterns and Practices.

 🧠 Curated collection of system prompts for top AI tools. Perfect for AI agent builders and prompt engineers. Incuding: ChatGPT, Claude, Perplexity, Manus, Claude-Code, Loveable, v0, Grok, same new, windsurf, notion, and MetaAI.]]>
            </summary>
            <updated>2025-08-28T18:36:38+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/958</id>
            <title type="text"><![CDATA[Zev]]></title>
            <link rel="alternate" href="https://github.com/dtnewman/zev" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/958"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A simple CLI to help you remember commands.

Zev helps you remember (or discover) terminal commands using natural language.]]>
            </summary>
            <updated>2025-08-28T18:38:37+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/970</id>
            <title type="text"><![CDATA[LocalAI]]></title>
            <link rel="alternate" href="https://localai.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/970"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[LocalAI is the free, Open Source OpenAI alternative. LocalAI act as a drop-in replacement REST API that’s compatible with OpenAI API specifications for local inferencing. It allows you to run LLMs, generate images, audio (and not only) locally or on-prem with consumer grade hardware, supporting multiple model families and architectures. Does not require GPU. It is created and maintained by Ettore Di Giacinto.

- [LocalAI @ GitHub](https://github.com/mudler/LocalAI).]]>
            </summary>
            <updated>2025-08-28T18:39:39+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1001</id>
            <title type="text"><![CDATA[Agent2Agent Protocol (A2A)]]></title>
            <link rel="alternate" href="https://google.github.io/A2A/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1001"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[An open protocol enabling communication and interoperability between opaque agentic applications.

One of the biggest challenges in enterprise AI adoption is getting agents built on different frameworks and vendors to work together. That’s why we created an open Agent2Agent (A2A) protocol, a collaborative way to help agents across different ecosystems communicate with each other.

- [Agent2Agent Protocol (A2A) @ GitHub](https://github.com/google/A2A).

Related contents:

- [Announcing the Agent2Agent Protocol (A2A) @ Google for Developers](https://developers.googleblog.com/en/a2a-a-new-era-of-agent-interoperability/).
- [MCP vs. A2A: Friends or Foes? @ SwirlAI Newsletter](https://www.newsletter.swirlai.com/p/mcp-vs-a2a-friends-or-foes).]]>
            </summary>
            <updated>2025-08-28T18:44:39+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1009</id>
            <title type="text"><![CDATA[🐫 CAMEL]]></title>
            <link rel="alternate" href="https://www.camel-ai.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1009"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The first and the best multi-agent framework. Finding the Scaling Law of Agents

Building Multi-Agent Systems for Task Automation.

 🐫 CAMEL is an open-source community dedicated to finding the scaling laws of agents. We believe that studying these agents on a large scale offers valuable insights into their behaviors, capabilities, and potential risks. To facilitate research in this field, we implement and support various types of agents, tasks, prompts, models, and simulated environments.

CAMEL emerges as the earliest LLM-based multi-agent framework, and is now a generic framework to build and use LLM-based agents for real-world task solving. We believe that studying these agents on a large scale offers valuable insights into their behaviors, capabilities, and potential risks. To facilitate research in this field, we implement and support various types of agents, tasks, prompts, models, and simulated environments.

- [🐫 CAMEL @ GitHub](https://github.com/camel-ai/camel).
- [🐫 CAMEL&amp;#039;s documentation](https://docs.camel-ai.org/).]]>
            </summary>
            <updated>2025-08-28T18:46:41+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1011</id>
            <title type="text"><![CDATA[Gemini API]]></title>
            <link rel="alternate" href="https://ai.google.dev/gemini-api/docs?hl=en" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1011"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Google AI for Developers

- [Gemini API Cookbook @ GitHub](https://github.com/google-gemini/cookbook).]]>
            </summary>
            <updated>2025-08-28T18:46:42+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1071</id>
            <title type="text"><![CDATA[GitSummarize]]></title>
            <link rel="alternate" href="https://gitsummarize.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1071"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Turn any GitHub repository into a comprehensive AI-powered documentation hub.

Generate beautiful, world-class documentation from any GitHub repository — instantly.
Just replace hub with summarize in any GitHub URL to generate a live, interactive documentation hub.

- [GitSummarize @ GitHub](https://github.com/antarixxx/gitsummarize).]]>
            </summary>
            <updated>2025-08-28T18:55:00+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1087</id>
            <title type="text"><![CDATA[airflow-ai-sdk]]></title>
            <link rel="alternate" href="https://github.com/astronomer/airflow-ai-sdk?tab=readme-ov-file" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1087"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[An SDK for working with LLMs and AI Agents from Apache Airflow, based on Pydantic AI.
 
It allows users to call LLMs and orchestrate agent calls directly within their Airflow pipelines using decorator-based tasks. The SDK leverages the familiar Airflow @task syntax with extensions like @task.llm, @task.llm_branch, and @task.agent.]]>
            </summary>
            <updated>2025-08-28T18:58:50+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1089</id>
            <title type="text"><![CDATA[Awesome CursorRules]]></title>
            <link rel="alternate" href="https://github.com/PatrickJS/awesome-cursorrules" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1089"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[📄 A curated list of awesome .cursorrules files.

A curated list of awesome .cursorrules files for enhancing your Cursor AI experience.

Cursor AI is an AI-powered code editor. .cursorrules files define custom rules for Cursor AI to follow when generating code, allowing you to tailor its behavior to your specific needs and preferences.]]>
            </summary>
            <updated>2025-08-28T18:58:51+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1095</id>
            <title type="text"><![CDATA[Langtrace]]></title>
            <link rel="alternate" href="https://www.langtrace.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1095"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Transform Al Prototypes into Enterprise-Grade Products.

Langtrace is an Open Source Observability and Evaluations Platform for Al Agents.

- [Langtrace @ GitHub](https://github.com/Scale3-Labs/langtrace).

Related contents:

- [Tracing a RAG based Chatbot with Elastic Distributions of OpenTelemetry and Langtrace @ elastic observability labs](https://www.elastic.co/observability-labs/blog/openai-tracing-langtrace-elastic).]]>
            </summary>
            <updated>2025-08-28T18:58:54+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1101</id>
            <title type="text"><![CDATA[PG-MCP]]></title>
            <link rel="alternate" href="https://github.com/stuzero/pg-mcp" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1101"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[PostgreSQL Model Context Protocol (PG-MCP) Server.

A Model Context Protocol (MCP) server for PostgreSQL databases with enhanced capabilities for AI agents.]]>
            </summary>
            <updated>2025-08-28T18:59:48+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1111</id>
            <title type="text"><![CDATA[IBM Granite]]></title>
            <link rel="alternate" href="https://www.ibm.com/granite" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1111"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[LLMs for language and code + Time series and geospatial foundation models.

Achieve over 90% cost savings with Granite&amp;#039;s smaller and open models, designed for developer efficiency.
Fit for purpose and open sourced, these enterprise-ready models deliver exceptional performance against safety benchmarks and across a wide range of enterprise tasks from cybersecurity to RAG.

- [IBM Granite @ Hugging Face](https://huggingface.co/ibm-granite).

Related contents:

- [Optimizing for efficiency with IBM’s Granite @ Changelog&amp;#039;s Practical AI](https://practicalai.fm/306).]]>
            </summary>
            <updated>2025-08-28T19:02:49+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1161</id>
            <title type="text"><![CDATA[Cocommit]]></title>
            <link rel="alternate" href="https://github.com/andrewromanenco/cocommit" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1161"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A Copilot for Git.

Cocommit is a command-line tool that works with your HEAD commit and leverages an LLM of your choice to enhance commit quality. 

A good commit consists of multiple elements, but at a minimum, it should have a well-crafted commit message. Cocommit analyzes the message from the last (HEAD) commit and suggests improvements, highlighting both strengths and areas for enhancement.]]>
            </summary>
            <updated>2025-08-28T19:10:53+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1162</id>
            <title type="text"><![CDATA[Playwright MCP]]></title>
            <link rel="alternate" href="https://github.com/microsoft/playwright-mcp" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1162"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Playwright Tools for MCP.

A Model Context Protocol (MCP) server that provides browser automation capabilities using Playwright. This server enables LLMs to interact with web pages through structured accessibility snapshots, bypassing the need for screenshots or visually-tuned models.

Related contents:

- [Guide détaillé du serveur Playwright MCP @ bright data :fr:](https://brightdata.fr/blog/ai/playwright-mcp-server).
- [\#346.src - IA &amp;amp; DevX: Code assisté, valeur humaine préservée avec Jocelyn N&amp;#039;takpe @ \&amp;lt;ifttd&amp;gt;](https://www.ifttd.io/episodes/ia-devx).]]>
            </summary>
            <updated>2026-03-22T18:14:52+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1166</id>
            <title type="text"><![CDATA[GitHub Copilot]]></title>
            <link rel="alternate" href="https://github.com/features/copilot" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1166"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Your AI pair programmer.

Related contents:

- [AI-assisted coding with GitHub&amp;#039;s COO @ Practical AI](https://practicalai.fm/307).
- [\#108 Les dernières (r)évolutions de GitHub Copilot (1/2) @  DevApps.ms :fr:](https://devapps.ms/podcasts/108-evolutions-github-copilot-1).]]>
            </summary>
            <updated>2025-08-28T19:10:57+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1171</id>
            <title type="text"><![CDATA[LangGraph]]></title>
            <link rel="alternate" href="https://www.langchain.com/langgraph" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1171"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Balance agent control with agency.  Build resilient language agents as graphs. 

Gain control with LangGraph to design agents that reliably handle complex tasks. Build and scale agentic applications with LangGraph Platform.

LangGraph — used by Replit, Uber, LinkedIn, GitLab and more — is a low-level orchestration framework for building controllable agents. While langchain provides integrations and composable components to streamline LLM application development, the LangGraph library enables agent orchestration — offering customizable architectures, long-term memory, and human-in-the-loop to reliably handle complex tasks.

- [LangGraph @ GitHub](https://github.com/langchain-ai/langgraph).

Related contents:

- [Why we chose LangGraph to build our coding agent @  qodo](https://www.qodo.ai/blog/why-we-chose-langgraph-to-build-our-coding-agent/).
- [LangGraph for complex workflows @ surma.dev](https://surma.dev/things/langgraph/).
- [LangChain, LangGraph Flaws Expose Files, Secrets, Databases in Widely Used AI Frameworks @ The Hacker News](https://thehackernews.com/2026/03/langchain-langgraph-flaws-expose-files.html).]]>
            </summary>
            <updated>2026-03-30T18:57:36+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1174</id>
            <title type="text"><![CDATA[ToolJet]]></title>
            <link rel="alternate" href="https://www.tooljet.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1174"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[AI- Native Platform for Building Internal Tools.

 Low-code platform for building business applications. Connect to databases, cloud storages, GraphQL, API endpoints, Airtable, Google sheets, OpenAI, etc and build apps using drag and drop application builder. Built using JavaScript/TypeScript. 🚀 

- [ToolJet @ GitHub](https://github.com/ToolJet/ToolJet).

Related contents:

- [11 Open-Source Projects That are Legit Game-Changers @ Let&amp;#039;s Code Future&amp;#039;s Medium](https://medium.com/lets-code-future/11-open-source-projects-that-are-legit-game-changers-e0e57e45ac71).]]>
            </summary>
            <updated>2025-08-28T19:11:53+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1178</id>
            <title type="text"><![CDATA[StarVector]]></title>
            <link rel="alternate" href="https://starvector.github.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1178"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[StarVector is a foundation model for SVG generation that transforms vectorization into a code generation task. Using a vision-language modeling architecture, StarVector processes both visual and textual inputs to produce high-quality SVG code with remarkable precision. 

- [StarVector @ GitHub](https://github.com/joanrod/star-vector).]]>
            </summary>
            <updated>2025-08-28T19:12:52+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1184</id>
            <title type="text"><![CDATA[Vibe Coding Manifesto]]></title>
            <link rel="alternate" href="https://vibemanifesto.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1184"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[We are uncovering a new way of building software by embracing AI, iteration, and human intuition.

- [Vibe Coding Manifesto Landing Page @ GitHub](https://github.com/przadka/vibemanifesto-lp/).]]>
            </summary>
            <updated>2025-08-28T19:14:54+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1191</id>
            <title type="text"><![CDATA[Jobset]]></title>
            <link rel="alternate" href="https://jobset.sigs.k8s.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1191"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[JobSet: a k8s native API for distributed ML training and HPC workloads 

JobSet is a Kubernetes-native API for managing a group of k8s Jobs as a unit. It aims to offer a unified API for deploying HPC (e.g., MPI) and AI/ML training workloads (PyTorch, Jax, Tensorflow etc.) on Kubernetes.

- [JobSet @ GitHub](https://github.com/kubernetes-sigs/jobset).

Related contents:

- [Introducing JobSet @ Kubernetes blog](https://kubernetes.io/blog/2025/03/23/introducing-jobset/).]]>
            </summary>
            <updated>2025-08-28T19:14:59+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1195</id>
            <title type="text"><![CDATA[Claude Code (Research Preview) Cleanroom Deobfuscation]]></title>
            <link rel="alternate" href="https://github.com/ghuntley/claude-code-source-code-deobfuscation" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1195"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[This is a cleanroom deobfuscation of the official Claude Code npm package. 

Related contents:

- [Yes, Claude Code can decompile itself. Here&amp;#039;s the source code @ gh](https://ghuntley.com/tradecraft/).
- [Comment les IA transforment tout code en code open source @ Korben :fr:](https://korben.info/llm-decompilation-claude-code-hack-intelligence-artificielle.html).]]>
            </summary>
            <updated>2025-08-28T19:15:02+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1196</id>
            <title type="text"><![CDATA[Fleur MCP App Store]]></title>
            <link rel="alternate" href="https://www.fleurmcp.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1196"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Fleur is the app store for Claude.
 The easiest way to discover and install MCPs.

Fleur is a desktop application that serves as an app marketplace for MCPs. It allows you to discover, install, and manage apps that extend the functionality of Claude Desktop and Cursor.

All without having to use a command line. Fleur is made for non-technical users in mind, but is open-source and extensible so developers can make it their own.

- [Fleur @ GitHub](https://github.com/fleuristes/fleur).

Related contents:

- [Fleur MCP - Comment donner des super-pouvoirs à Claude @ Korben :fr:](https://korben.info/fleur-mcp-comment-donner-super-pouvoirs-claude.html).]]>
            </summary>
            <updated>2025-08-28T19:15:03+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1240</id>
            <title type="text"><![CDATA[NVIDIA Dynamo]]></title>
            <link rel="alternate" href="https://developer.nvidia.com/dynamo" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1240"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A Datacenter Scale Distributed Inference Serving Framework.

NVIDIA Dynamo is a high-throughput low-latency inference framework designed for serving generative AI and reasoning models in multi-node distributed environments. Dynamo is designed to be inference engine agnostic (supports TRT-LLM, vLLM, SGLang or others) and captures LLM-specific capabilities.

- [Dynamo @ GitHub](https://github.com/ai-dynamo/dynamo).

Related contents:

- [A closer look at Dynamo, Nvidia&amp;#039;s &amp;#039;operating system&amp;#039; for AI inference @ The register](https://www.theregister.com/2025/03/23/nvidia_dynamo/).]]>
            </summary>
            <updated>2025-08-28T19:23:04+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1253</id>
            <title type="text"><![CDATA[Amurex]]></title>
            <link rel="alternate" href="https://www.amurex.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1253"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[AI Invisible Companion.

Amurex is your simple yet powerful AI meeting assistant that seamlessly integrates into your workflow. Built with cutting-edge AI, Amurex ensures you never miss a detail, always stay on top of action items, and make every meeting more productive.

- [Amurex @ GitHub](https://github.com/thepersonalaicompany/amurex).
- [Amurex Backend @ GitHub](https://github.com/thepersonalaicompany/amurex-backend).]]>
            </summary>
            <updated>2025-08-28T19:24:59+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1260</id>
            <title type="text"><![CDATA[Auntie PDF]]></title>
            <link rel="alternate" href="https://auntiepdf.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1260"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Your all-knowing guide that unpacks every PDF into clear, actionable insights. 

Auntie PDF is a web application that helps users extract information and insights from PDF documents. With a sassy, helpful personality, Auntie PDF makes understanding complex documents easier and more engaging.]]>
            </summary>
            <updated>2025-08-28T19:27:04+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1276</id>
            <title type="text"><![CDATA[Local Deep Research]]></title>
            <link rel="alternate" href="https://github.com/LearningCircuit/local-deep-research" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1276"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A powerful AI-powered research assistant that performs deep, iterative analysis using multiple LLMs and web searches. The system can be run locally for privacy or configured to use cloud-based LLMs for enhanced capabilities.

Related contents:

- [Local Deep Research - L&amp;#039;assistant de recherche IA open-source qui cite ses sources @ Korben :fr:](https://korben.info/local-deep-research-alternative-gratuite-recherche-ia-sourcee.html).]]>
            </summary>
            <updated>2025-08-28T19:29:01+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1285</id>
            <title type="text"><![CDATA[Flower]]></title>
            <link rel="alternate" href="https://flower.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1285"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A Friendly Federated AI Framework.

A unified approach to federated learning, analytics, and evaluation. Federate any workload, any ML framework, and any programming language.

- [Flower @ GitHub](https://github.com/adap/flower).]]>
            </summary>
            <updated>2025-08-28T19:31:05+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1286</id>
            <title type="text"><![CDATA[Avid]]></title>
            <link rel="alternate" href="https://www.getavid.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1286"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[AI-Powered Mobile App Builder.

Transform your ideas into polished mobile applications with our intuitive mobile app generator. No complex setup required.]]>
            </summary>
            <updated>2025-08-28T19:31:06+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1288</id>
            <title type="text"><![CDATA[Factorio Learning Environment]]></title>
            <link rel="alternate" href="https://jackhopkins.github.io/factorio-learning-environment/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1288"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A non-saturating, open-ended environment for evaluating LLMs in Factorio.

 Large Language Models (LLMs) are rapidly saturating existing benchmarks, necessitating new open-ended evaluations. We introduce the Factorio Learning Environment (FLE), based on the game of Factorio, that tests agents in long-term planning, program synthesis, and resource optimization. 

- [Factorio Learning Environment @ GitHub](https://github.com/JackHopkins/factorio-learning-environment).]]>
            </summary>
            <updated>2025-08-28T19:31:06+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1296</id>
            <title type="text"><![CDATA[Nuanced]]></title>
            <link rel="alternate" href="https://www.nuanced.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1296"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Nuanced is an open-source library that generates enriched call graphs with static analysis annotations, providing AI coding tools with deeper understanding of code behavior.

- [Nuanced @ GitHub](https://github.com/nuanced-dev/nuanced).]]>
            </summary>
            <updated>2025-08-28T19:32:05+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1314</id>
            <title type="text"><![CDATA[Recommendarr]]></title>
            <link rel="alternate" href="https://github.com/fingerthief/recommendarr" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1314"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[An AI driven recommendation system based on Radarr and Sonarr library information.

Recommendarr is a web application that generates personalized TV show and movie recommendations based on your Sonarr, Radarr, Plex, and Jellyfin libraries using AI.]]>
            </summary>
            <updated>2025-08-28T19:35:09+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1317</id>
            <title type="text"><![CDATA[Kokoro Web]]></title>
            <link rel="alternate" href="https://voice-generator.pages.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1317"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Free &amp;amp; Open-Source AI Voice Generator.

 A powerful, browser-based AI voice generator that lets you create natural-sounding voices without installing anything.

Use it directly in your browser or self-host it for your own applications with OpenAI API compatibility! 

- [Kokoro Web @ GitHub](https://github.com/eduardolat/kokoro-web).]]>
            </summary>
            <updated>2025-08-28T19:35:20+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1324</id>
            <title type="text"><![CDATA[WAGMIOS]]></title>
            <link rel="alternate" href="https://github.com/mentholmike/wagmios" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1324"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[WAGMIOS is a self-hosted container management system with AI-powered automation.
It enables you to efficiently manage your containers with W.I.L.L.O.W, an AI assistant that optimizes your workflow.]]>
            </summary>
            <updated>2025-08-28T19:37:05+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1334</id>
            <title type="text"><![CDATA[Evolving Agents Framework]]></title>
            <link rel="alternate" href="https://github.com/matiasmolinas/evolving-agents" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1334"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Evolving agents is a production-grade environment for orchestrating, evolving, and managing AI agents.

A production-grade framework for creating, managing, and evolving AI agents with intelligent agent-to-agent communication. The framework enables you to build collaborative agent ecosystems that can semantically understand requirements, evolve based on past experiences, and communicate effectively to solve complex tasks.]]>
            </summary>
            <updated>2025-08-28T19:39:09+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1335</id>
            <title type="text"><![CDATA[Building an Agentic System]]></title>
            <link rel="alternate" href="https://gerred.github.io/building-an-agentic-system/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1335"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[An in-depth book and reference on building agentic systems like Claude Code.
A deep-dive guide into architecture patterns for building responsive, reliable AI coding agents.

There&amp;#039;s been a lot of asking about how Claude Code works under the hood. Usually, people see the prompts, but they don&amp;#039;t see how it all comes together. This is that book. All of the systems, tools, and commands that go into building one of these.

A practical deep dive and code review into how to build a self-driving coding agent, execution engine, tools and commands. Rather than the prompts and AI engineering, this is the systems and design decisions that go into making agents that are real-time, self-corrective, and useful for productive work.

- [Building an Agentic System @ GitHub](https://github.com/gerred/building-an-agentic-system).]]>
            </summary>
            <updated>2025-08-28T19:39:10+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1337</id>
            <title type="text"><![CDATA[ANON KODE]]></title>
            <link rel="alternate" href="https://github.com/dnakov/anon-kode" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1337"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Terminal-based AI coding tool that can use any model that supports the OpenAI-style API.]]>
            </summary>
            <updated>2025-08-28T19:39:11+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1338</id>
            <title type="text"><![CDATA[Letta]]></title>
            <link rel="alternate" href="https://www.letta.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1338"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The Platform for Building Stateful Agents.
Build agents with infinite context and human-like memory, that can learn from data and improve with experience.
 Letta (formerly MemGPT) is a framework for creating LLM services with memory. 

👾 Letta is an open source framework for building stateful LLM applications. You can use Letta to build stateful agents with advanced reasoning capabilities and transparent long-term memory. The Letta framework is white box and model-agnostic.

- [Letta @ GitHub](https://github.com/letta-ai/letta).
- [Letta documentation](https://docs.letta.com/).

Related contents:

- [Letta Filesystem @ Letta documentation](https://docs.letta.com/guides/agents/filesystem).]]>
            </summary>
            <updated>2025-10-17T05:38:21+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1342</id>
            <title type="text"><![CDATA[CAMEL-AI Framework]]></title>
            <link rel="alternate" href="https://camel-ai.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1342"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Finding the Scaling Laws of Agents. The first and the best multi-agent framework.

 🐫 CAMEL is an open-source community dedicated to finding the scaling laws of agents. We believe that studying these agents on a large scale offers valuable insights into their behaviors, capabilities, and potential risks. To facilitate research in this field, we implement and support various types of agents, tasks, prompts, models, and simulated environments.

The framework enables multi-agent systems to continuously evolve by generating data and interacting with environments. This evolution can be driven by reinforcement learning with verifiable rewards or supervised learning.

- [CAMEL-AI @ GitHub](https://github.com/camel-ai/camel).]]>
            </summary>
            <updated>2025-08-28T19:40:07+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1350</id>
            <title type="text"><![CDATA[OASIS]]></title>
            <link rel="alternate" href="https://github.com/psyray/oasis" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1350"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Ollama Automated Security Intelligence Scanner.

 🛡️ An AI-powered security auditing tool that leverages Ollama models to detect and analyze potential security vulnerabilities in your code.

Advanced code security analysis through the power of AI

Related contents:

- [OASIS - Sécurisez votre code avec l&amp;#039;IA et Ollama @ Korben :fr:](https://korben.info/oasis-outil-ia-securite-code-ollama.html).]]>
            </summary>
            <updated>2025-08-28T19:41:08+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1364</id>
            <title type="text"><![CDATA[Opsy]]></title>
            <link rel="alternate" href="https://github.com/datolabs-io/opsy" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1364"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Opsy - Your AI-Powered SRE Colleague.

Opsy is an intelligent command-line assistant designed for Site Reliability Engineers (SREs), DevOps professionals, and platform engineers. It uses AI to help you navigate operational challenges, troubleshoot issues, and automate routine workflows. Opsy integrates with your existing tools and provides contextual assistance to make your daily operations more efficient.]]>
            </summary>
            <updated>2025-08-28T19:43:15+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1372</id>
            <title type="text"><![CDATA[Ollama Function Caller (ofc)]]></title>
            <link rel="alternate" href="https://github.com/elijah-potter/ofc" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1372"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A command-line Ollama client for scripting.

The Ollama function caller, otherwise known as ofc, is a command-line tool for prompting Ollama models locally on your system. There are other programs out there that do similar things, but they either don&amp;#039;t support streaming or don&amp;#039;t give me access to important settings, like context length or temperature.]]>
            </summary>
            <updated>2025-08-28T19:45:09+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1375</id>
            <title type="text"><![CDATA[Plauna]]></title>
            <link rel="alternate" href="https://github.com/ozangulle/plauna" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1375"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Plauna is a privacy focused service that helps you categorize your e-mails. All of its data is stored only on your computer.

You can parse your e-mails from mbox files or directly by connecting to your IMAP servers. Plauna helps you categorize your e-mails and automates the process so that incoming e-mails are moved to their respective folders on your IMAP server.]]>
            </summary>
            <updated>2025-08-28T19:45:11+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1397</id>
            <title type="text"><![CDATA[Windsurf AI IDE]]></title>
            <link rel="alternate" href="https://windsurfai.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1397"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Revolutionize Your Development with Windsurf AI IDE

As the first truly intelligent development environment, Codeium Windsurf AI combines powerful AI agents with intuitive co-pilots to create an unparalleled coding experience that adapts to your needs and enhances your productivity.

Related contents:

- [Windsurf: An Agentic IDE That Thinks and Codes With You @ The New Stack](https://thenewstack.io/windsurf-an-agentic-ide-that-thinks-and-codes-with-you/).]]>
            </summary>
            <updated>2025-08-28T19:49:11+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1398</id>
            <title type="text"><![CDATA[superwhisper]]></title>
            <link rel="alternate" href="https://superwhisper.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1398"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Al powered voice to text.

Write 3x faster, without lifting a finger. 

Related contents:

- [Vibe Coding and the Future of Software Engineering @ Alex P](https://alexp.pl/2025/02/19/vibe-coding.html).]]>
            </summary>
            <updated>2026-04-07T10:16:23+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1402</id>
            <title type="text"><![CDATA[Orbit by Mozilla]]></title>
            <link rel="alternate" href="https://orbitbymozilla.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1402"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[AI you can trust

Easily summarize emails, docs, articles, and videos across the web — without sacrificing your privacy

Related contents:

- [Orbit - Résumez vos emails, documents, articles et vidéos sans sacrifier votre vie privée @ Korben :fr:](https://korben.info/orbit-resume-intelligent-mozilla-vie-privee.html).]]>
            </summary>
            <updated>2025-08-28T19:51:14+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1422</id>
            <title type="text"><![CDATA[Spaces @ Hugging Face]]></title>
            <link rel="alternate" href="https://huggingface.co/spaces" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1422"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The AI App Directory.

Related contents:

- [\#106 - Les news web dev pour février 2025 @ Double Slash :fr:](https://double-slash.dev/podcasts/news-feb25/).]]>
            </summary>
            <updated>2025-08-28T19:53:15+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1480</id>
            <title type="text"><![CDATA[AI Engineering Landscape]]></title>
            <link rel="alternate" href="https://malywut.github.io/ai-engineering-landscape/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1480"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[curated list of resources for AI Engineering.

- [AI Engineering Landscape @ GitHub](https://github.com/malywut/ai-engineering-landscape).

Related contents:

- [The End of Programming as We Know It @ O&amp;#039;Reilly](https://www.oreilly.com/radar/the-end-of-programming-as-we-know-it/).]]>
            </summary>
            <updated>2025-08-28T20:03:22+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1482</id>
            <title type="text"><![CDATA[merde.ai]]></title>
            <link rel="alternate" href="https://merde.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1482"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[ai-fixed merge conflicts.

Related contents:

- [Episode \#629: Programming with LLMs @ Changelog Interviews](https://changelog.com/podcast/629).]]>
            </summary>
            <updated>2025-08-28T20:03:23+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1508</id>
            <title type="text"><![CDATA[GenSX]]></title>
            <link rel="alternate" href="https://www.gensx.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1508"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The TypeScript framework for agents &amp;amp; workflows with react-like components. Lightning fast dev loop. Easy to learn. Easy to extend. 

Build complex AI applications with React-like components.
GenSX is a simple typescript framework for building agents and workflows with reusable React-like components.
GenSX takes a lot of inspiration from React, but the programming model is very different - it’s a Node.js framework designed for data flow.

- [GenSX @ GitHub](https://github.com/gensx-inc/gensx).]]>
            </summary>
            <updated>2025-08-28T20:07:28+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1518</id>
            <title type="text"><![CDATA[Trae :cn:]]></title>
            <link rel="alternate" href="https://www.trae.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1518"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Ship Faster with Trae

Trae is an adaptive AI IDE that transforms how you work, collaborating with you to run faster.

Related contents:

- [How Does Trae, the 100% Free AI IDE, Compare to Cursor? @ builder.io](https://www.builder.io/blog/cursor-vs-trae).]]>
            </summary>
            <updated>2025-08-28T20:09:23+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1539</id>
            <title type="text"><![CDATA[Scira]]></title>
            <link rel="alternate" href="https://scira.app/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1539"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Scira (Formerly MiniPerplx) is a minimalistic AI-powered search engine that helps you find information on the internet. Powered by Vercel AI SDK! Search with models like Grok 2.0. 

- [Scira @ GitHub](https://github.com/zaidmukaddam/scira).]]>
            </summary>
            <updated>2025-08-28T20:12:26+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1554</id>
            <title type="text"><![CDATA[AI Town]]></title>
            <link rel="alternate" href="https://www.convex.dev/ai-town" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1554"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A virtual town where AI characters live, chat and socialize.
Log in to join the town and the conversation!

A MIT-licensed, deployable starter kit for building and customizing your own version of AI town - a virtual town where AI characters live, chat and socialize. 

- [AI Town @ GitHub](https://github.com/a16z-infra/ai-town).

Related contents:

- [AI Town - Créez votre propre ville virtuelle peuplée d&amp;#039;agents IA @ Korben :fr:](https://korben.info/ai-town-ville-virtuelle-agents-ia.html).]]>
            </summary>
            <updated>2025-08-28T20:15:31+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1555</id>
            <title type="text"><![CDATA[Sparrow]]></title>
            <link rel="alternate" href="https://sparrow.katanaml.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1555"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Data processing with ML, LLM and Vision LLM.

Sparrow is an innovative open-source solution for efficient data extraction and processing from various documents and images. It seamlessly handles forms, bank statements, invoices, receipts, and other unstructured data sources. Sparrow stands out with its modular architecture, offering independent services and pipelines all optimized for robust performance.

- [Sparrow @ GitHub](https://github.com/katanaml/sparrow).

Related contents:

- [Sparrow - Pour extraire des données avec l&amp;#039;IA @ Korben :fr:](https://korben.info/sparrow-outil-extraction-donnees-ia.html).]]>
            </summary>
            <updated>2025-08-28T20:15:31+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1558</id>
            <title type="text"><![CDATA[talkflow-n8n]]></title>
            <link rel="alternate" href="https://github.com/jimmartinquisitive/talkflow-n8n" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1558"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A real-time chat application integrated with N8N workflows for automated responses and processing.]]>
            </summary>
            <updated>2025-08-28T20:15:33+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1578</id>
            <title type="text"><![CDATA[Data Formulator]]></title>
            <link rel="alternate" href="https://github.com/microsoft/data-formulator" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1578"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[🪄 Create rich visualizations with AI

Data Formulator is an application from Microsoft Research that uses large language models to transform data, expediting the practice of data visualization.

Data Formulator is an AI-powered tool for analysts to iteratively create rich visualizations. Unlike most chat-based AI tools where users need to describe everything in natural language, Data Formulator combines user interface interactions (UI) and natural language (NL) inputs for easier interaction. This blended approach makes it easier for users to describe their chart designs while delegating data transformation to AI.]]>
            </summary>
            <updated>2025-09-04T09:35:37+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1585</id>
            <title type="text"><![CDATA[Novelcrafter]]></title>
            <link rel="alternate" href="https://www.novelcrafter.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1585"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Your Novel Writing Toolbox. Write, without restriction.

Novelcrafter&amp;#039;s got your back, arming you with the tools you need to dream, draft, and deliver your story.]]>
            </summary>
            <updated>2025-08-28T20:20:29+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1590</id>
            <title type="text"><![CDATA[smolmodels ✨]]></title>
            <link rel="alternate" href="https://github.com/plexe-ai/smolmodels" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1590"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[build ml models in natural language and minimal code.

Create machine learning models with minimal code by describing what you want them to do in plain words. You explain the task, and the library builds a model for you, including data generation, feature engineering, training, and packaging.]]>
            </summary>
            <updated>2025-08-28T20:21:29+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1602</id>
            <title type="text"><![CDATA[open Deep Research]]></title>
            <link rel="alternate" href="https://m-ric-open-deep-research.hf.space/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1602"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[OpenAI just published Deep Research, a very nice assistant that can perform deep searches on the web to answer user questions.

However, their agent has a huge downside: it&amp;#039;s not open. So we&amp;#039;ve started a 24-hour rush to replicate and open-source it. Our resulting open-Deep-Research agent took the #1 rank of any open submission on the GAIA leaderboard! ✨

- [open Deep Research @ HuggingFace smolagents&amp;#039; GitHub](https://github.com/huggingface/smolagents/tree/main/examples/open_deep_research).

Related contents:

- [Open-source DeepResearch – Freeing our search agents @ Hugging Face](https://huggingface.co/blog/open-deep-research).]]>
            </summary>
            <updated>2025-08-28T20:23:35+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1606</id>
            <title type="text"><![CDATA[Open LLM Lists]]></title>
            <link rel="alternate" href="https://openllmlist.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1606"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Trending Open AI Models.]]>
            </summary>
            <updated>2025-08-28T20:23:38+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1611</id>
            <title type="text"><![CDATA[Modern-Day Oracles or Bullshit Machines ?]]></title>
            <link rel="alternate" href="https://thebullshitmachines.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1611"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[For better or for worse, LLMs are here to stay. We all read content that they produce online, most of us interact with LLM chatbots, and many of us use them to produce content of our own.

In a series of five- to ten-minute lessons, we will explain what these machines are, how they work, and how to thrive in a world where they are everywhere.

You will learn when these systems can save you a lot of time and effort. You will learn when they are likely to steer you wrong. And you will discover how to see through the hype to tell the difference. ?]]>
            </summary>
            <updated>2025-08-28T20:24:33+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1615</id>
            <title type="text"><![CDATA[AI by Hand ✍️ Exercises in Excel]]></title>
            <link rel="alternate" href="https://github.com/ImagineAILab/ai-by-hand-excel" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1615"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[AI by Hand ✍️ Exercises in Excel]]>
            </summary>
            <updated>2025-08-28T20:25:32+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1666</id>
            <title type="text"><![CDATA[Cohere]]></title>
            <link rel="alternate" href="https://cohere.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1666"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The World&amp;#039;s Leading AI Platform for Enterprise.
The all-in-one platform for private and secure AI.

Cohere brings you cutting-edge multilingual models, advanced retrieval, and an AI workspace tailored for the modern enterprise — all within a single, secure platform.

Related contents:

- [You need more than a vector database @ Redis](https://redis.io/blog/you-need-more-than-a-vector-database/).]]>
            </summary>
            <updated>2025-08-28T20:33:37+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1671</id>
            <title type="text"><![CDATA[llama.cpp]]></title>
            <link rel="alternate" href="https://llama.app/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1671"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[LLM inference in C/C++.

The main goal of llama.cpp is to enable LLM inference with minimal setup and state-of-the-art performance on a wide range of hardware - locally and in the cloud.

- [llama.cpp @ GitHUb](https://github.com/ggml-org/llama.cpp).

Related contents:

- [Everything I&amp;#039;ve learned so far about running local LLMs @ null program](https://nullprogram.com/blog/2024/11/10/).
- [Run large and small language models with llama.cpp (DeepSeek-R1, Phi-4) @ Modal  Docs](https://modal.com/docs/examples/llama_cpp).
- [Faire tourner un LLM localement sur votre ordinateur @ Quoi de neuf les devs ? :fr:](https://happytodev.substack.com/p/brent-roose-est-linvite-du-n147-de?open=false#%C2%A7faire-tourner-un-llm-localement-sur-votre-ordinateur).
- [Optimizing Performance with llama.cpp @ Home Assistant community](https://community.home-assistant.io/t/my-journey-to-a-reliable-and-enjoyable-locally-hosted-voice-assistant/944860/123).
- [Grand saut dans le déploiement sur site d&amp;#039;un serveur LLM à moindres privilèges @ Synacktiv :fr:](https://www.synacktiv.com/publications/grand-saut-dans-le-deploiement-sur-site-dun-serveur-llm-a-moindres-privileges).
- [INSTALLER llama.cpp SUR LINUX POUR DE L&amp;#039;IA EN LOCAL (INFÉRENCE) @ Adrien Linuxtricks&amp;#039; YouTube :fr:](https://www.youtube.com/watch?v=NFB-c7CoGm4).]]>
            </summary>
            <updated>2026-07-15T06:52:55+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1679</id>
            <title type="text"><![CDATA[KitOps]]></title>
            <link rel="alternate" href="https://kitops.ml/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1679"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Simple, secure, and reproducible packaging for AI/ML projects.

 KitOps is an open source DevOps tool that packages and versions your AI/ML model, datasets, code, and configuration into a reproducible artifact called a ModelKit. ModelKits are built on existing standards, ensuring compatibility with the tools your data scientists and developers already use. 

- [KitOps @ GitHub](https://github.com/jozu-ai/kitops).]]>
            </summary>
            <updated>2025-08-28T20:35:47+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1683</id>
            <title type="text"><![CDATA[RunPod]]></title>
            <link rel="alternate" href="https://www.runpod.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1683"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The Cloud Built for AI.

Train, fine-tune and deploy AI models with RunPod.

Globally distributed GPU cloud for your AI workloads.
Deploy any GPU workload seamlessly, so you can focus less on
infrastructure and more on running ML models.]]>
            </summary>
            <updated>2025-08-28T20:36:40+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1684</id>
            <title type="text"><![CDATA[Vast.ai]]></title>
            <link rel="alternate" href="https://vast.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1684"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Rent GPUs.

Vast.ai is the market leader in low-cost cloud GPU rental.
Use one simple interface to save 5-6X on GPU compute.]]>
            </summary>
            <updated>2025-08-28T20:36:40+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1698</id>
            <title type="text"><![CDATA[Oumi]]></title>
            <link rel="alternate" href="https://oumi.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1698"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open Universal Machine Intellingence.
E2E Foundation Model Research Platform.
Everything you need to build state-of-the-art foundation models, end-to-end. 

Oumi is a fully open-source platform that streamlines the entire lifecycle of foundation models - from data preparation and training to evaluation and deployment. Whether you&amp;#039;re developing on a laptop, launching large scale experiments on a cluster, or deploying models in production, Oumi provides the tools and workflows you need.

- [Oumi @ GitHub](https://github.com/oumi-ai/oumi).]]>
            </summary>
            <updated>2025-08-28T20:39:47+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1701</id>
            <title type="text"><![CDATA[(WIP) A Little Bit of Reinforcement Learning from Human Feedback]]></title>
            <link rel="alternate" href="https://rlhfbook.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1701"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A short introduction to RLHF and post-training focused on language models.]]>
            </summary>
            <updated>2025-08-28T20:39:49+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1707</id>
            <title type="text"><![CDATA[Leon]]></title>
            <link rel="alternate" href="https://getleon.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1707"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Your Open-Source Personal Assistant.

Leon is your open-source personal assistant who can live on your server.
He does stuff when you ask him to.

- [Leon @ GitHub](https://github.com/leon-ai/leon).]]>
            </summary>
            <updated>2025-08-28T20:40:43+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1732</id>
            <title type="text"><![CDATA[PromptPal]]></title>
            <link rel="alternate" href="https://promptpal.github.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1732"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A Prompt Manager that focuses on On-Premise and developer experience.

- [PromptPal @ GitHub](https://github.com/PromptPal/PromptPal).]]>
            </summary>
            <updated>2025-08-28T20:44:45+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1749</id>
            <title type="text"><![CDATA[Vellum AI]]></title>
            <link rel="alternate" href="https://www.vellum.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1749"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Build and ship AI products on a single, collaborative platform

Take AI products from early-stage ideas to production-grade features with tooling for experimentation, evaluation, deployment, monitoring, and collaboration.

Related contents:

- [Building effective agents @ Anthropic](https://www.anthropic.com/research/building-effective-agents).]]>
            </summary>
            <updated>2025-08-28T20:47:52+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1750</id>
            <title type="text"><![CDATA[Rivet]]></title>
            <link rel="alternate" href="https://rivet.ironcladapp.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1750"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The open-source visual AI programming environment and TypeScript library.

Rivet, the IDE for creating complex AI agents and prompt chaining, and embedding it in your application. 

- [Rivet @ GitHub](https://github.com/Ironclad/rivet).

Related contents:

- [Building effective agents @ Anthropic](https://www.anthropic.com/research/building-effective-agents).]]>
            </summary>
            <updated>2025-08-28T20:47:52+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1751</id>
            <title type="text"><![CDATA[Amazon Bedrock Agents]]></title>
            <link rel="alternate" href="https://aws.amazon.com/bedrock/agents/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1751"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Enable generative AI applications to automate multistep tasks by seamlessly connecting with company systems, APIs, and data sources.

Related contents:

- [Building effective agents @ Anthropic](https://www.anthropic.com/research/building-effective-agents).]]>
            </summary>
            <updated>2025-08-28T20:47:53+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1769</id>
            <title type="text"><![CDATA[Cerebras]]></title>
            <link rel="alternate" href="https://cerebras.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1769"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Cerebras Inference
The world’s fastest inference -70x faster than GPU clouds,128K context, 16-bit precision.

Cerebras Inference Llama 3.3 70B runs at 2,200 tokens/s and Llama 3.1 405B at 969 tokens/s – over 70x faster than GPU clouds. Get instant responses to code-gen, summarization, and agentic tasks.

Related contents:

- [105 - les news web dev pour janvier 2025 @ Double Slash :fr:](https://double-slash.dev/podcasts/news-janv25/).]]>
            </summary>
            <updated>2025-08-28T20:51:52+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1779</id>
            <title type="text"><![CDATA[Haystack]]></title>
            <link rel="alternate" href="https://haystack.deepset.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1779"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The Production-Ready Open Source AI Framework.

 AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it&amp;#039;s best suited for building RAG, question answering, semantic search or conversational agent chatbots. 

- [Haystack @ GitHub](https://github.com/deepset-ai/haystack).]]>
            </summary>
            <updated>2025-08-28T20:52:51+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1783</id>
            <title type="text"><![CDATA[🤗 Transformers]]></title>
            <link rel="alternate" href="https://huggingface.co/docs/transformers/index" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1783"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[State-of-the-art Machine Learning for PyTorch, TensorFlow, and JAX.

🤗 Transformers provides APIs and tools to easily download and train state-of-the-art pretrained models. Using pretrained models can reduce your compute costs, carbon footprint, and save you the time and resources required to train a model from scratch. 

- [🤗 Transformers @ GitHub](https://github.com/huggingface/transformers).

Related contents:

- [Running inference in web extensions @ dist://ed](https://blog.mozilla.org/en/mozilla/ai/ai-tech/running-inference-in-web-extensions/).]]>
            </summary>
            <updated>2025-08-28T20:53:50+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1784</id>
            <title type="text"><![CDATA[ONNX Runtime]]></title>
            <link rel="alternate" href="https://onnxruntime.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1784"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator.

ONNX Runtime inference can enable faster customer experiences and lower costs, supporting models from deep learning frameworks such as PyTorch and TensorFlow/Keras as well as classical machine learning libraries such as scikit-learn, LightGBM, XGBoost, etc. 

- [ONNX Runtime @ GitHub](https://github.com/microsoft/onnxruntime).

Related contents:

- [Running inference in web extensions @ dist://ed](https://blog.mozilla.org/en/mozilla/ai/ai-tech/running-inference-in-web-extensions/).]]>
            </summary>
            <updated>2025-08-28T20:53:50+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1785</id>
            <title type="text"><![CDATA[PocketPal AI 📱🚀]]></title>
            <link rel="alternate" href="https://github.com/a-ghorbani/pocketpal-ai" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1785"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[An app that brings language models directly to your phone. 

PocketPal AI is a pocket-sized AI assistant powered by small language models (SLMs) that run directly on your phone. Designed for both iOS and Android, PocketPal AI lets you interact with various SLMs without the need for an internet connection.

Related contents:

- [PocketPal AI, l&amp;#039;assistant IA 100% local sur Android / iOS @ Korben :fr:](https://korben.info/pocketpal-ai-assistant-ia-local-smartphone.html).]]>
            </summary>
            <updated>2025-08-28T20:53:51+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1786</id>
            <title type="text"><![CDATA[Onlook]]></title>
            <link rel="alternate" href="https://onlook.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1786"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Cursor for Designers.

The power of Cursor for your own React website.
Onlook lets you visually edit your React website and 
write your changes back to code in real-time.

The open source Cursor for Designers. Design directly in your live React app and publish your changes to code. 

- [Onlook @ GitHub](https://github.com/onlook-dev/onlook).]]>
            </summary>
            <updated>2025-08-28T20:53:52+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1796</id>
            <title type="text"><![CDATA[Manifest]]></title>
            <link rel="alternate" href="https://manifest.build/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1796"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The 1-file Micro-backend.   Affordable Personal AI 
 Smart Model Routing for Personal AI Agents. Cut Costs up to 70% 🦞👧🦚 

Manifest is a smart model router for Personal AI Agents like OpenClaw or Hermes. It sits between your agent and your LLM providers, scores each request, and routes it to the cheapest model that can handle it. Simple questions go to fast, cheap models. Hard problems go to expensive ones. You save money without thinking about it.

**First versions of the project:**

80% of websites and apps only use the most basic backend features. Using over-engineered solutions lead to unnecessary costs and complexity.

Manifest keeps it simple, delivering only the essential backend features and smoothly integrating in your project like any other file in your codebase.

- [Manifest @ GitHub](https://github.com/mnfst/manifest).

Related contents:

- [5 Open Source Tools for Backend Developers in 2025 @ Arindam Majumder&amp;#039;s dev.to](https://dev.to/arindam_1729/5-open-source-tools-for-backend-developers-in-2025-3lng).]]>
            </summary>
            <updated>2026-04-21T11:43:58+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1834</id>
            <title type="text"><![CDATA[vLLM]]></title>
            <link rel="alternate" href="https://vllm.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1834"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Easy, fast, and cheap LLM serving for everyone.

vLLM is a fast and easy-to-use library for LLM inference and serving.

Originally developed in the Sky Computing Lab at UC Berkeley, vLLM has evloved into a community-driven project with contributions from both academia and industry.

- [vLLM @ GitHub](https://github.com/vllm-project/vllm).

Related contents:

- [How to serve LLMs with vLLM and OVHcloud AI Deploy @ OVHcloud](https://blog.ovhcloud.com/how-to-serve-llms-with-vllm-and-ovhcloud-ai-deploy/).
- [Episode 616: From Boston to bootc @ Linux Unplugged](https://linuxunplugged.com/616).
- [What is vLLM @ RedHat](https://www.redhat.com/en/topics/ai/what-is-vllm).
- [Faire tourner un LLM localement sur votre ordinateur @ Quoi de neuf les devs ? :fr:](https://happytodev.substack.com/p/brent-roose-est-linvite-du-n147-de?open=false#%C2%A7faire-tourner-un-llm-localement-sur-votre-ordinateur).
- [Inside vLLM: Anatomy of a High-Throughput LLM Inference System @ Aleksa Gordić blog](https://www.aleksagordic.com/blog/vllm).
- [vLLM : Maîtriser l&amp;#039;Inference Haute Performance pour les LLM @ DevSecOps :fr:](https://blog.stephane-robert.info/docs/developper/programmation/python/vllm/).
- [Docker Model Runner now supports vLLM on Windows @ Docker](https://www.docker.com/blog/docker-model-runner-vllm-windows/).
- [Running a self-hosted LLM in Kubernetes with vLLM @ CNCF](https://www.cncf.io/blog/2026/07/16/running-a-self-hosted-llm-in-kubernetes-with-vllm/).]]>
            </summary>
            <updated>2026-07-21T06:33:51+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1836</id>
            <title type="text"><![CDATA[FineWeb]]></title>
            <link rel="alternate" href="https://huggingface.co/datasets/HuggingFaceFW/fineweb" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1836"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[15 trillion tokens of the finest data the 🌐 web has to offer.

The 🍷 FineWeb dataset consists of more than 15T tokens of cleaned and deduplicated english web data from CommonCrawl. The data processing pipeline is optimized for LLM performance and ran on the 🏭 datatrove library, our large scale data processing library.

🍷 FineWeb was originally meant to be a fully open replication of 🦅 RefinedWeb, with a release of the full dataset under the ODC-By 1.0 license. However, by carefully adding additional filtering steps, we managed to push the performance of 🍷 FineWeb well above that of the original 🦅 RefinedWeb, and models trained on our dataset also outperform models trained on other commonly used high quality web datasets (like C4, Dolma-v1.6, The Pile, SlimPajama, RedPajam2) on our aggregate group of benchmark tasks.

Related contents:

- [🍷 FineWeb: decanting the web for the finest text data at scale @ HugginFace](https://huggingface.co/spaces/HuggingFaceFW/blogpost-fineweb-v1).
- [S5E7 - Sommes-nous à l&amp;#039;aube d&amp;#039;un effondrement des IA ? @ Underscore_&amp;#039;s acast :fr:](https://shows.acast.com/micode-underscore/episodes/s5e7-sommes-nous-a-laube-dun-effondrement-des-ia).]]>
            </summary>
            <updated>2025-08-28T21:01:57+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1846</id>
            <title type="text"><![CDATA[NeurIPS Conference]]></title>
            <link rel="alternate" href="https://neurips.cc/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1846"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The Annual Conference on Neural Information Processing Systems.

Related content:

- [S5E6 - On reçoit le PDG de Mistral, Arthur Mensch @ Underscore_&amp;#039;s acast :fr:](https://shows.acast.com/micode-underscore/episodes/s5e6-on-recoit-le-pdg-de-mistral-arthur-mensch).]]>
            </summary>
            <updated>2025-08-28T21:04:01+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1875</id>
            <title type="text"><![CDATA[Replicate]]></title>
            <link rel="alternate" href="https://replicate.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1875"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Run AI with an API.
Run and fine-tune open-source models. Deploy custom models at scale. All with one line of code.

Thousands of models contributed by our community.
All the latest open-source models are on Replicate.
They’re not just demos — they all actually work and have production-ready APIs.

AI shouldn’t be locked up inside academic papers and demos. Make it real by pushing it to Replicate.

Related contents:

- [\#104 Développer des projets IA - introduction @ Double Slash :fr:](https://double-slash.dev/podcasts/devia1-1/).]]>
            </summary>
            <updated>2025-08-28T21:09:00+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1880</id>
            <title type="text"><![CDATA[Repomix]]></title>
            <link rel="alternate" href="https://repomix.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1880"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Pack your codebase into AI-friendly formats.

 📦 Repomix (formerly Repopack) is a powerful tool that packs your entire repository into a single, AI-friendly file. Perfect for when you need to feed your codebase to Large Language Models (LLMs) or other AI tools like Claude, ChatGPT, and Gemini. 

- [Repomix @ GitHub](https://github.com/yamadashy/repomix).]]>
            </summary>
            <updated>2025-08-28T21:09:58+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1883</id>
            <title type="text"><![CDATA[Groq]]></title>
            <link rel="alternate" href="https://groq.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1883"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Groq is Fast AI Inference.

Related contents:

- [\#104 Développer des projets IA - introduction @ Double Slash :fr:](https://double-slash.dev/podcasts/devia1-1/).]]>
            </summary>
            <updated>2025-08-28T21:09:59+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1884</id>
            <title type="text"><![CDATA[LM Studio]]></title>
            <link rel="alternate" href="https://lmstudio.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1884"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Discover, download, and run local LLMs.

- [LM Studio @ GitHub](https://github.com/lmstudio-ai).

Related contents:

- [\#104 Développer des projets IA - introduction @ Double Slash :fr:](https://double-slash.dev/podcasts/devia1-1/).
- [Faire tourner un LLM localement sur votre ordinateur @ Quoi de neuf les devs ? :fr:](https://happytodev.substack.com/p/brent-roose-est-linvite-du-n147-de?open=false#%C2%A7faire-tourner-un-llm-localement-sur-votre-ordinateur).
- [Drames et dramas d’août @ Le RDV Tech podcast](https://frenchspin.fr/2025/08/drames-et-dramas-daout-rdv-tech/).
- [LM Studio : Faire tourner son IA (LLM) facilement (Chat, Developpement, ...) @ Adrien Linuxtricks&amp;#039; YouTube :fr:](https://www.youtube.com/watch?v=FFEzgPG1AZM).]]>
            </summary>
            <updated>2025-10-21T06:18:38+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1938</id>
            <title type="text"><![CDATA[Rowfill]]></title>
            <link rel="alternate" href="https://www.rowfill.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1938"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open-source document processing platform built for knowledge workers.

Rowfill helps extract, analyze, and process data from complex documents, images, PDFs and more with advanced AI capabilities.

- [Rowfill @ GitHub](https://github.com/harishdeivanayagam/rowfill).]]>
            </summary>
            <updated>2025-08-28T21:20:07+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1954</id>
            <title type="text"><![CDATA[Inbox Zero]]></title>
            <link rel="alternate" href="https://www.getinboxzero.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1954"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Automate and clean your inbox. Clean Up Your Inbox In Minutes.

Bulk unsubscribe from newsletters, automate your emails with AI, block cold emails, and view your analytics. Open-source.

- [Inbox Zero @ GitHub](https://github.com/elie222/inbox-zero).]]>
            </summary>
            <updated>2025-08-28T21:22:06+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1974</id>
            <title type="text"><![CDATA[Lucie LLM]]></title>
            <link rel="alternate" href="https://huggingface.co/collections/OpenLLM-France/lucie-llm-67099ba7b992dee2c32b1f92" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1974"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open weights LLM for French, English, German, Spanish and Italian.

- [Lucie Training @ GitHub](https://github.com/OpenLLM-France/Lucie-Training).
 
Related contents:

- [C’est un grand jour pour LINAGORA et la communauté OpenLLM 🇫🇷 🇪🇺-france @ Jean-Pierre LORRE&amp;#039;s LinkedIn](https://www.linkedin.com/posts/jplorre_llm-opensource-ia-activity-7284686154807869440-40OZ/).
- [OpenLLM-France homepage :fr:](https://www.openllm-france.fr/).]]>
            </summary>
            <updated>2025-08-28T21:25:10+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1975</id>
            <title type="text"><![CDATA[OpenLLM France :fr:]]></title>
            <link rel="alternate" href="https://www.openllm-france.fr/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1975"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[LLM génératifs ouverts et performants.

Le Consortium OpenLLM France réunit 17 acteurs qui se sont rassemblés dans le prolongement de la création de la communauté OpenLLM France qui fédère à ce jour un écosystème de près de 200 entités (laboratoires publics de recherche, fournisseurs potentiels de données, acteurs technologiques spécialisés, fournisseurs de cas d&amp;#039;usage...). Ces acteurs échangent de manière publique et transparente depuis le début de l’été 2023 sur le serveur Discord de la communauté.]]>
            </summary>
            <updated>2025-08-28T21:25:11+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1980</id>
            <title type="text"><![CDATA[Giskard]]></title>
            <link rel="alternate" href="https://docs.giskard.ai/en/stable/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1980"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[🐢 Open-Source Evaluation &amp;amp; Testing for AI &amp;amp; LLM systems.

The testing framework dedicated to ML models, from tabular to LLMs.
Control risks of performance, bias and security issues in AI systems.

- [Giskard @ GitHub](https://github.com/Giskard-AI/giskard).]]>
            </summary>
            <updated>2025-08-28T21:26:09+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1985</id>
            <title type="text"><![CDATA[sitefetch]]></title>
            <link rel="alternate" href="https://github.com/egoist/sitefetch" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1985"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Fetch an entire site and save it as a text file (to be used with AI models).]]>
            </summary>
            <updated>2025-08-28T21:28:12+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2038</id>
            <title type="text"><![CDATA[Fast Music Remover]]></title>
            <link rel="alternate" href="https://github.com/omeryusufyagci/fast-music-remover" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2038"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Take control of the media you consume every day with Fast Music Remover!.

A C++ based, lightweight music and noise remover for YouTube and other internet media, using DeepFilterNet for audio enhancement.

We consume, willingly or not, large amounts of media everyday, and that includes content that is emposed on us. Fast Music Remover gives you the choice to opt-out of them without missing out on the core content.

We&amp;#039;re building a feature rich media processor that is efficient, modular and cross platform. It&amp;#039;s being built for you! That means clean APIs for programmers, containerized on GHCR for remote users, with a Web UI providing seamless access to anyone interested!]]>
            </summary>
            <updated>2025-08-28T21:36:21+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2039</id>
            <title type="text"><![CDATA[paperless-gpt]]></title>
            <link rel="alternate" href="https://github.com/icereed/paperless-gpt" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2039"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Use LLMs and LLM Vision (OCR) to handle paperless-ngx - Document Digitalization powered by AI.

paperless-gpt seamlessly pairs with paperless-ngx to generate AI-powered document titles and tags, saving you hours of manual sorting. While other tools may offer AI chat features, paperless-gpt stands out by supercharging OCR with LLMs—ensuring high accuracy, even with tricky scans. If you’re craving next-level text extraction and effortless document organization, this is your solution.]]>
            </summary>
            <updated>2025-08-28T21:36:22+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2053</id>
            <title type="text"><![CDATA[Epigram]]></title>
            <link rel="alternate" href="https://epigram.news/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2053"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open-Source, Free, and AI-Powered News in Short.

Your open-source, AI-powered news companion that redefines how you consume news. Get bite-sized summaries from trusted sources worldwide, personalized to your interests. Stay informed without the overwhelm.

- [Epigram @ GitHub](https://github.com/panda-sandeep/epigram).]]>
            </summary>
            <updated>2025-08-28T21:38:18+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2057</id>
            <title type="text"><![CDATA[Paperless-AI]]></title>
            <link rel="alternate" href="https://clusterzx.github.io/paperless-ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2057"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[An automated document analyzer for Paperless-ngx using OpenAI API and Ollama (Mistral, llama, phi 3, gemma 2) to automatically analyze and tag your documents.

 It features: Automode, Manual Mode, Ollama and OpenAI, a Chat function to query your documents with AI, a modern and intuitive Webinterface.

- [Paperless-AI @ GitHub](https://github.com/clusterzx/paperless-ai).]]>
            </summary>
            <updated>2025-08-28T21:40:18+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2066</id>
            <title type="text"><![CDATA[Storyteller]]></title>
            <link rel="alternate" href="https://smoores.gitlab.io/storyteller/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2066"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Storyteller is a self-hosted platform for creating and reading ebooks with
synced narration. It&amp;#039;s made of three components: the API server, the web
interface, and the mobile apps. Together, these components allow you to take
audiobooks and ebooks that you already own and automatically synchronize them,
as well as read or listen to (or both!) the resulting synced books.

- [Storyteller @ GitLab](https://gitlab.com/smoores/storyteller).

Related contents:

- [Episode 140: When Upgrades Go Wrong @ Self Hosted](https://selfhosted.show/140).]]>
            </summary>
            <updated>2025-08-28T21:40:24+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2084</id>
            <title type="text"><![CDATA[Windsurf Editor]]></title>
            <link rel="alternate" href="https://codeium.com/windsurf" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2084"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Built to keep you in flow state

The first agentic IDE, and then some. The Windsurf Editor is where the work of developers and AI truly flow together, allowing for a coding experience that feels like literal magic.]]>
            </summary>
            <updated>2025-08-28T21:44:25+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2091</id>
            <title type="text"><![CDATA[Crawl4AI]]></title>
            <link rel="alternate" href="https://crawl4ai.com/mkdocs/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2091"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open-Source LLM-Friendly Web Crawler &amp;amp; Scraper.

Crawl4AI delivers blazing-fast, AI-ready web crawling tailored for large language models, AI agents, and data pipelines. Fully open source, flexible, and built for real-time performance, Crawl4AI empowers developers with unmatched speed, precision, and deployment ease.

- [Crawl4AI @ GitHub](https://github.com/unclecode/crawl4ai).]]>
            </summary>
            <updated>2025-08-28T21:44:30+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2100</id>
            <title type="text"><![CDATA[Cosmos]]></title>
            <link rel="alternate" href="https://developer.nvidia.com/cosmos" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2100"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[NVIDIA Cosmos™ is a platform of state-of-the-art generative world foundation models, advanced tokenizers, guardrails, and an accelerated data processing and curation pipeline for autonomous vehicles (AVs) and robotics developers.

 Cosmos is a world model development platform that consists of world foundation models, tokenizers and video processing pipeline to accelerate the development of Physical AI at Robotics &amp;amp; AV labs. Cosmos is purpose built for physical AI. The Cosmos repository will enable end users to run the Cosmos models, run inference scripts and generate videos. 

- [Cosmos @ GitHub](https://github.com/NVIDIA/Cosmos).

Related contents:

- [Ep. 476 : Episode du 8 janvier 2025 @ Les Technos :fr:](https://les-technos.lepodcast.fr/les-technos-476-episode-du-8-janvier-2025).]]>
            </summary>
            <updated>2025-08-28T21:46:20+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2208</id>
            <title type="text"><![CDATA[Pathway]]></title>
            <link rel="alternate" href="https://pathway.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2208"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Power Your AI with Live Data.

Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG. 

- [Pathway @ GitHub](https://github.com/pathwaycom/pathway).]]>
            </summary>
            <updated>2025-09-10T11:29:30+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2228</id>
            <title type="text"><![CDATA[Amurex @ Chrome Web Store]]></title>
            <link rel="alternate" href="https://chromewebstore.google.com/detail/amurex-early-preview/dckidmhhpnfhachdpobgfbjnhfnmddmc" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2228"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Your AI Meeting Copilot (Early Preview)

Take the hassle out of meetings with Amurex, the ultimate Chrome extension that transforms how you manage and stay productive during meetings.

Amurex is your simple yet powerful AI meeting assistant that seamlessly integrates into your workflow. Built with cutting-edge AI, Amurex ensures you never miss a detail, always stay on top of action items, and make every meeting more productive.

- [Amurex @ GitHub](https://github.com/thepersonalaicompany/amurex).]]>
            </summary>
            <updated>2025-08-28T22:08:36+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2270</id>
            <title type="text"><![CDATA[OpenVINO]]></title>
            <link rel="alternate" href="https://docs.openvino.ai/2024/index.html" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2270"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference.

OpenVINO is an open-source toolkit for optimizing and deploying deep learning models from cloud to edge. It accelerates deep learning inference across various use cases, such as generative AI, video, audio, and language with models from popular frameworks like PyTorch, TensorFlow, ONNX, and more. Convert and optimize models, and deploy across a mix of Intel® hardware and environments, on-premises and on-device, in the browser or in the cloud.

- [OpenVINO @ GitHub](https://github.com/openvinotoolkit/openvino).
- [OpenVINO @ Hugging Face](https://huggingface.co/OpenVINO).]]>
            </summary>
            <updated>2026-01-23T10:38:15+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2275</id>
            <title type="text"><![CDATA[Shortest]]></title>
            <link rel="alternate" href="https://shortest.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2275"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[QA via natural language AI tests.
AI-powered natural language end-to-end testing framework.

Write tests in plain English and let AI handle the execution. Built on Playwright with seamless GitHub integration.

- [Shortest @ GitHub](https://github.com/anti-work/shortest).]]>
            </summary>
            <updated>2025-08-28T22:16:39+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2279</id>
            <title type="text"><![CDATA[Graficto]]></title>
            <link rel="alternate" href="https://graficto.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2279"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The Ultimate Infographic Maker. Create Smart Infographics, Visuals &amp;amp; Charts Online.
Create powerful smart infographics and visuals without any design skills.]]>
            </summary>
            <updated>2025-08-28T22:16:42+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2670</id>
            <title type="text"><![CDATA[aisuite]]></title>
            <link rel="alternate" href="https://github.com/andrewyng/aisuite" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2670"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Simple, unified interface to multiple Generative AI providers.

aisuite makes it easy for developers to use multiple LLM through a standardized interface. Using an interface similar to OpenAI&amp;#039;s, aisuite makes it easy to interact with the most popular LLMs and compare the results. It is a thin wrapper around python client libraries, and allows creators to seamlessly swap out and test responses from different LLM providers without changing their code. Today, the library is primarily focussed on chat completions. We will expand it cover more use cases in near future.]]>
            </summary>
            <updated>2026-06-15T11:54:19+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2711</id>
            <title type="text"><![CDATA[Mastra]]></title>
            <link rel="alternate" href="https://mastra.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2711"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The Typescript AI framework.

Mastra is an opinionated Typescript framework that helps you build AI applications and features quickly. It gives you the set of primitives you need: workflows, agents, RAG, integrations, syncs and evals. You can run Mastra on your local machine, or deploy to a serverless cloud.

- [Mastra @ GitHub](https://github.com/mastra-ai/mastra).

Related contents:

- [\#107 - Les news web dev pour mars 2025 @ Double Slash :fr:](https://double-slash.dev/podcasts/news-mar-25/).
- [Mastra 101: Learn how to build agents @ Mastra University](https://mastra.ai/course).]]>
            </summary>
            <updated>2025-08-28T23:29:17+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2770</id>
            <title type="text"><![CDATA[Willow]]></title>
            <link rel="alternate" href="https://heywillow.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2770"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Willow Is a Practical, Open Source, Privacy-focused Platform for Voice Assistants and Other Applications.
Open source, local, and self-hosted Amazon Echo/Google Home competitive Voice Assistant alternative.

Willow is an ESP IDF based project primarily targeting the ESP32-S3-BOX hardware family from Espressif. Our goal is to provide Amazon Echo/Google Home competitive performance, accuracy, cost and functionality with Home Assistant, openHAB and other platforms.

- [Willow @ GitHub](https://github.com/toverainc/willow).]]>
            </summary>
            <updated>2025-08-28T23:38:20+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2774</id>
            <title type="text"><![CDATA[Screenshot to Code]]></title>
            <link rel="alternate" href="https://screenshottocode.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2774"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue).

A simple tool to convert screenshots, mockups and Figma designs into clean, functional code using AI.

- [Screenshot to Code @ GitHub](https://github.com/abi/screenshot-to-code).]]>
            </summary>
            <updated>2025-08-28T23:38:22+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2814</id>
            <title type="text"><![CDATA[Chroma]]></title>
            <link rel="alternate" href="https://www.trychroma.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2814"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[the AI-native open-source embedding database.  The fastest way to build Python or JavaScript LLM apps with memory! 
Chroma is the open-source AI application database. Batteries included.

Embeddings, vector search, document storage, full-text search, metadata filtering, and multi-modal. All in one place. Retrieval that just works. As it should be.

- [Chroma @ GitHub](https://github.com/chroma-core/chroma).

Related contents:

- [ChromaDB: An Open-source vector embedding database @ Futuresmart AI Blog](https://blog.futuresmart.ai/chromadb-an-open-source-vector-embedding-database).
- [How to Build a Local RAG App with Ollama and ChromaDB in the R Programming Language @ freeCodeCamp](https://www.freecodecamp.org/news/build-a-local-rag-app-with-ollama-and-chromadb-in-r/).]]>
            </summary>
            <updated>2026-02-09T16:46:10+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2918</id>
            <title type="text"><![CDATA[OpenHands (by All Hands AI)]]></title>
            <link rel="alternate" href="https://www.all-hands.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2918"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open Source Agents for Developers

Use AI to tackle the toil in your backlog, so you can focus on what matters: hard problems, creative challenges, and over-engineering your dotfiles.

- [OpenHands @ GitHub](https://github.com/All-Hands-AI/OpenHands).

Related contents:

- [Devstral @ Mistral](https://mistral.ai/news/devstral).]]>
            </summary>
            <updated>2025-08-29T00:02:35+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2948</id>
            <title type="text"><![CDATA[Aide]]></title>
            <link rel="alternate" href="https://aide.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2948"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The open-source AI-native IDE. Powered by the state-of-the-art agentic framework on swebench-lite.

Aide is the Open Source AI-native code editor. It is a fork of VS Code, and integrates tightly with the leading agentic framework on swebench-lite.

- [Aide @ GitHub](https://github.com/codestoryai/aide).]]>
            </summary>
            <updated>2025-08-29T00:07:25+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3050</id>
            <title type="text"><![CDATA[Zerox OCR]]></title>
            <link rel="alternate" href="https://github.com/getomni-ai/zerox" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3050"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Zero shot pdf OCR with gpt-4o-mini.

A dead simple way of OCR-ing a document for AI ingestion. Documents are meant to be a visual representation after all. With weird layouts, tables, charts, etc. The vision models just make sense!]]>
            </summary>
            <updated>2025-08-29T00:24:29+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3054</id>
            <title type="text"><![CDATA[Taipy]]></title>
            <link rel="alternate" href="https://taipy.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3054"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Build Python Data &amp;amp; AI web applications.
Turns Data and AI algorithms into production-ready web applications in no time. 

Taipy is designed for data scientists and machine learning engineers to build data &amp;amp; AI web applications.  

From simple pilots to production-ready web applications in no time. No more compromise on performance, customization, and scalability.

- [Taipy @ GitHub](https://github.com/Avaiga/taipy).]]>
            </summary>
            <updated>2025-08-29T00:25:21+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3064</id>
            <title type="text"><![CDATA[Outlines]]></title>
            <link rel="alternate" href="https://dottxt-ai.github.io/outlines/latest/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3064"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Structured text generation and robust prompting for language models.

Outlines is a Python library that allows you to use Large Language Model in a simple and robust way (with structured generation). It is built by .txt, and is already used in production by many companies.

- [Outlines @ GitHub](https://github.com/dottxt-ai/outlines).

Related contents:

- [7 Lessons from building a small-scale AI application @ Richard Li](https://www.thelis.org/blog/lessons-from-ai).]]>
            </summary>
            <updated>2025-08-29T00:28:23+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3069</id>
            <title type="text"><![CDATA[Amphion]]></title>
            <link rel="alternate" href="https://openhlt.github.io/amphion/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3069"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Amphion (/æmˈfaɪən/) is a toolkit for Audio, Music, and Speech Generation. Its purpose is to support reproducible research and help junior researchers and engineers get started in the field of audio, music, and speech generation research and development. 

- [Amphion @ GitHub](https://github.com/open-mmlab/Amphion).]]>
            </summary>
            <updated>2025-08-29T00:28:26+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3083</id>
            <title type="text"><![CDATA[ExecuTorch]]></title>
            <link rel="alternate" href="https://pytorch.org/executorch/stable/index.html" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3083"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[On-device AI across mobile, embedded and edge for PyTorch 

ExecuTorch is an end-to-end solution for enabling on-device inference capabilities across mobile and edge devices including wearables, embedded devices and microcontrollers. It is part of the PyTorch Edge ecosystem and enables efficient deployment of PyTorch models to edge devices.

- [ExecuTorch @ GitHub](https://github.com/pytorch/executorch).]]>
            </summary>
            <updated>2025-08-29T00:30:24+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3084</id>
            <title type="text"><![CDATA[OmniParser]]></title>
            <link rel="alternate" href="https://microsoft.github.io/OmniParser/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3084"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[OmniParser is a comprehensive method for parsing user interface screenshots into structured and easy-to-understand elements, which significantly enhances the ability of GPT-4V to generate actions that can be accurately grounded in the corresponding regions of the interface.

- [OmniParser @ GitHub](https://github.com/microsoft/OmniParser).]]>
            </summary>
            <updated>2025-08-29T00:30:26+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3085</id>
            <title type="text"><![CDATA[Vulnhuntr]]></title>
            <link rel="alternate" href="https://github.com/protectai/vulnhuntr" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3085"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Zero shot vulnerability discovery using LLMs. A tool to identify remotely exploitable vulnerabilities using LLMs and static code analysis.

Vulnhuntr leverages the power of LLMs to automatically create and analyze entire code call chains starting from remote user input and ending at server output for detection of complex, multi-step, security-bypassing vulnerabilities that go far beyond what traditional static code analysis tools are capable of performing. 

Related contents:

- [VulnHuntr - L&amp;#039;IA qui trouve des failles 0day dans votre code Python @ Korben :fr:](https://korben.info/vulnhuntr-ia-detecteur-vulnerabilites-0day-python.html).]]>
            </summary>
            <updated>2025-08-29T00:30:26+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3103</id>
            <title type="text"><![CDATA[GenAIScript]]></title>
            <link rel="alternate" href="https://microsoft.github.io/genaiscript/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3103"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Generative AI Scripting.

Programmatically assemble prompts for LLMs using JavaScript.

- [GenAIScript @ GitHub](https://github.com/microsoft/genaiscript/).]]>
            </summary>
            <updated>2025-08-29T00:33:26+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3117</id>
            <title type="text"><![CDATA[Vanna.AI]]></title>
            <link rel="alternate" href="https://vanna.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3117"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using RAG 🔄. 

Personalized AI SQL Agent. Let Vanna.AI write your SQL for you

The fastest way to get actionable insights from your database just by asking questions.

- [Vanna @ GitHub](https://github.com/vanna-ai/vanna).]]>
            </summary>
            <updated>2025-08-29T00:36:34+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3121</id>
            <title type="text"><![CDATA[openai-realtime-api]]></title>
            <link rel="alternate" href="https://github.com/transitive-bullshit/openai-realtime-api" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3121"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[TypeScript client for OpenAI&amp;#039;s realtime voice API.]]>
            </summary>
            <updated>2025-08-29T00:36:37+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3130</id>
            <title type="text"><![CDATA[Remini]]></title>
            <link rel="alternate" href="https://remini.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3130"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[AI Photo Enhancer. The only photo and video enhancer you&amp;#039;ll ever need.

Transformative technology gives your low-quality visuals a stunning HD upgrade. Restore old photos to incredible detail and elevate your content to a professional level.]]>
            </summary>
            <updated>2025-08-29T00:38:30+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3146</id>
            <title type="text"><![CDATA[📦 Repopack]]></title>
            <link rel="alternate" href="https://github.com/yamadashy/repopack" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3146"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[📦 Repopack is a powerful tool that packs your entire repository into a single, AI-friendly file. Perfect for when you need to feed your codebase to Large Language Models (LLMs) or other AI tools like Claude, ChatGPT, and Gemini.]]>
            </summary>
            <updated>2025-08-29T00:40:45+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3157</id>
            <title type="text"><![CDATA[cli-ai]]></title>
            <link rel="alternate" href="https://github.com/fmdz387/cli-ai" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3157"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[🤖 CLI AI Assistant

A simple command-line AI assistant that translates natural language into shell commands. Supports all Windows and Unix-based systems (Linux, MacOS). 

- [Episode 585 - Choosy Moms Choose Ubuntu @ Linux Unplugged](https://linuxunplugged.com/585).]]>
            </summary>
            <updated>2025-08-29T00:42:37+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3161</id>
            <title type="text"><![CDATA[Patched&amp;#039;s Patchwork]]></title>
            <link rel="alternate" href="https://www.patched.codes/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3161"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open source AI. Code Reviews and Docs.
Customizable LLM-enabled workflows to automate reviews, docs and patches.

Patchwork automates development gruntwork like PR reviews, bug fixing, security patching, and more using a self-hosted CLI agent and your preferred LLMs. Try the hosted version here.

- [Patchwork @ GitHub](https://github.com/patched-codes/patchwork).
- [Build your own AutoFix with Patchwork @ Patched](https://www.patched.codes/blog/build-your-own-autofix-with-patchwork).]]>
            </summary>
            <updated>2025-08-29T00:44:37+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3164</id>
            <title type="text"><![CDATA[Meta Lingua]]></title>
            <link rel="alternate" href="https://github.com/facebookresearch/lingua" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3164"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Meta Lingua: a lean, efficient, and easy-to-hack codebase to research LLMs. 

Meta Lingua is a minimal and fast LLM training and inference library designed for research. Meta Lingua uses easy-to-modify PyTorch components in order to try new architectures, losses, data, etc. We aim for this code to enable end to end training, inference and evaluation as well as provide tools to better understand speed and stability. While Meta Lingua is currently under development, we provide you with multiple apps to showcase how to use this codebase.]]>
            </summary>
            <updated>2025-08-29T00:44:40+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3204</id>
            <title type="text"><![CDATA[🍓 Ichigo]]></title>
            <link rel="alternate" href="https://github.com/homebrewltd/ichigo" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3204"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Llama3.1 learns to Listen. Local real-time voice AI (Formerly llama3-s).

🍓 Ichigo is an open, ongoing research experiment to extend a text-based LLM to have native &amp;quot;listening&amp;quot; ability. Think of it as an open data, open weight, on device Siri.]]>
            </summary>
            <updated>2025-08-29T00:50:41+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3228</id>
            <title type="text"><![CDATA[Arch]]></title>
            <link rel="alternate" href="https://archgw.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3228"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Intelligent Prompt Gateway.

Arch is an intelligent prompt gateway. Engineered with (fast) LLMs for the secure handling, robust observability, and seamless integration of prompts with APIs - all outside business logic. Built by the core contributors of Envoy proxy, on Envoy. 

Arch is an intelligent Layer 7 gateway designed to protect, observe, and personalize LLM applications (agents, assistants, co-pilots) with your APIs.

- [Arch @ GitHub](https://github.com/katanemo/arch).]]>
            </summary>
            <updated>2025-08-29T00:54:42+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3239</id>
            <title type="text"><![CDATA[OmniParse]]></title>
            <link rel="alternate" href="https://docs.cognitivelab.in/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3239"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[OmniParse is a platform that ingests/parses any unstructured data into structured, actionable data optimized for GenAI (LLM) applications. Whether working with documents, tables, images, videos, audio files, or web pages, OmniParse prepares your data to be clean, structured and ready for AI applications, such as RAG , fine-tuning and more.

- [OmniParse @ GitHub](https://github.com/adithya-s-k/omniparse).]]>
            </summary>
            <updated>2025-08-29T00:56:54+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3240</id>
            <title type="text"><![CDATA[exo]]></title>
            <link rel="alternate" href="https://github.com/exo-explore/exo" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3240"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Run your own AI cluster at home with everyday devices 📱💻 🖥️⌚ 

Forget expensive NVIDIA GPUs, unify your existing devices into one powerful GPU: iPhone, iPad, Android, Mac, Linux, pretty much any device!

Related contents:

- [Exo - Pour créer un super cluster IA avec tous les appareils qui trainent chez vous @ Korben :fr:](https://korben.info/exo-cluster-ia-distribue-appareils-gpu.html).
- [I built an AI supercomputer with 5 Mac Studios @ NetworkChuck&amp;#039;s YouTube](https://www.youtube.com/watch?v=Ju0ndy2kwlw).]]>
            </summary>
            <updated>2026-01-15T07:43:46+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3246</id>
            <title type="text"><![CDATA[Lucidchart]]></title>
            <link rel="alternate" href="https://www.lucidchart.com/pages" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3246"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Diagramming powered by intelligence.

Create next-generation diagrams with AI, data, and automation in Lucidchart. Understand and optimize every system and process.

- [Adoptez le modèle C4 pour des diagrammes d’architecture logicielle clairs et efficaces @ DeclerSoft :fr:](https://declersoft.net/adoptez-le-modele-c4-pour-des-diagrammes-darchitecture-logicielle-clairs-et-efficaces/).]]>
            </summary>
            <updated>2025-08-29T00:57:44+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3248</id>
            <title type="text"><![CDATA[Napkin AI]]></title>
            <link rel="alternate" href="https://www.napkin.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3248"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The visual AI for business storytelling. Get visuals from your text.
Napkin turns your text into visuals so sharing your ideas is quick and effective.]]>
            </summary>
            <updated>2025-08-29T00:57:44+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3253</id>
            <title type="text"><![CDATA[Chub - Charater Hub]]></title>
            <link rel="alternate" href="https://www.characterhub.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3253"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[hub to share llm charaters.]]>
            </summary>
            <updated>2025-08-29T00:58:44+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3254</id>
            <title type="text"><![CDATA[Chub AI]]></title>
            <link rel="alternate" href="https://www.chub.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3254"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Chub is platform that allows you to interact with characters through the use of Artificial Intelligence (AI) Large Language Models (LLMs). These models are accessed through the use of APIs which Chub streamlines into a convenient to use chatbot service.

Chub is uncensored. We do not restrict in any meaningful capacity the variety of characters that are allowed to be posted on the platform nor the type of interactions you are allowed to have with said characters.

Chub AI supports numerous APIs such as OpenAI or Anthropic (Claude), features such as chat trees, exporting/importing chats from existing services, and much more!

- [Chub AI documentation](https://docs.chub.ai/docs).]]>
            </summary>
            <updated>2025-08-29T00:58:45+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3278</id>
            <title type="text"><![CDATA[Swarm]]></title>
            <link rel="alternate" href="https://github.com/openai/swarm" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3278"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.

Related contents:

- [Don’t Build Multi-Agents @ Cognition](https://cognition.ai/blog/dont-build-multi-agents#principles-of-context-engineering).]]>
            </summary>
            <updated>2025-09-17T14:31:00+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3289</id>
            <title type="text"><![CDATA[Scriberr]]></title>
            <link rel="alternate" href="https://scriberr.app/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3289"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Self-hosted AI audio transcription.

This is Scriberr, a self-hostable AI audio transcription app. Scriberr uses the open-source Whisper models from OpenAI, to transcribe audio files locally on your hardware. It uses the Whisper.cpp high-performance inference engine for OpenAI&amp;#039;s Whisper. Scriberr also allows you to summarize transcripts using OpenAI&amp;#039;s ChatGPT API, with your own custom prompts. Summarization using ollama is also supported.

- [Scriberr @ GitHub](https://github.com/rishikanthc/Scriberr).

Related contents:

- [Scriberr - La transcription IA qui reste chez vous @ Korben :fr:](https://korben.info/scriberr-transcription-audio-ia-self-hosted.html).]]>
            </summary>
            <updated>2025-12-29T08:40:31+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3300</id>
            <title type="text"><![CDATA[Continue]]></title>
            <link rel="alternate" href="https://www.continue.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3300"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Amplified developers, AI-enhanced development.

 ⏩ Continue is the leading open-source AI code assistant. You can connect any models and any context to build custom autocomplete and chat experiences inside VS Code and JetBrains.

- [Continue @ GitHub](https://github.com/continuedev/continue).]]>
            </summary>
            <updated>2025-08-29T01:06:49+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3301</id>
            <title type="text"><![CDATA[NotebookLM]]></title>
            <link rel="alternate" href="https://notebooklm.google.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3301"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[NotebookLM is an AI-powered research and writing assistant that works best with the sources you import.

- [Behind the product: NotebookLM | Raiza Martin (Senior Product Manager, AI @ Google Labs) @ Lenny&amp;#039;s Newsletter](https://www.lennysnewsletter.com/p/googles-notebooklm-raiza-martin).]]>
            </summary>
            <updated>2025-08-29T01:06:50+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3308</id>
            <title type="text"><![CDATA[Donobu]]></title>
            <link rel="alternate" href="https://www.donobu.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3308"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Automate dogfoodingfor your team.  Get more eyes on your web app.
Testing your product is now just a simple command away. Get more eyes on your website. Ship with confidence.

Donobu simplifies automation through intuitive prompts, getting you started in no time.]]>
            </summary>
            <updated>2025-08-29T01:08:54+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3312</id>
            <title type="text"><![CDATA[bolt.new]]></title>
            <link rel="alternate" href="https://bolt.new/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3312"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Prompt, run, edit &amp;amp; deploy web apps.

Bolt.new is an AI-powered web development agent that allows you to prompt, run, edit, and deploy full-stack applications directly from your browser—no local setup required. If you&amp;#039;re here to build your own AI-powered web dev agent using the Bolt open source codebase, click here to get started!

- [bolt.new @ GitHub](https://github.com/stackblitz/bolt.new).

Related contents:

- [098 - Les news web dev pour octobre 2024 - 2.0 @ Double Slash :fr:](https://double-slash.dev/podcasts/news-oct24-2/).
- [No code is dead. Long live vibe coding @ kenneth.io](https://kenneth.io/post/no-code-is-dead-long-live-vibe-coding).]]>
            </summary>
            <updated>2025-08-29T01:08:56+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3344</id>
            <title type="text"><![CDATA[KnobGen]]></title>
            <link rel="alternate" href="https://github.com/aminK8/KnobGen" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3344"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Official Implementation of KnobGen: Controlling the Sophistication of Artwork in Sketch-Based Diffusion Models]]>
            </summary>
            <updated>2025-08-29T01:13:55+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3349</id>
            <title type="text"><![CDATA[assistant-ui]]></title>
            <link rel="alternate" href="https://www.assistant-ui.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3349"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Build in-app AI chatbots in days, not weeks.

assistant-ui is a chatbot UI for your React app

- [assistant-ui @ GitHub](https://github.com/Yonom/assistant-ui).

Related contents:

- [I Want Everything Local — Building My Offline AI Workspace @ InstaVM](https://instavm.io/blog/building-my-offline-ai-workspace).]]>
            </summary>
            <updated>2025-08-29T01:14:55+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3380</id>
            <title type="text"><![CDATA[screenpipe]]></title>
            <link rel="alternate" href="https://screenpi.pe/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3380"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[AI powered by what you&amp;#039;ve seen, said, or heard. Alternative to Rewind.ai.

screenpipe records your screens and mics 24/7 safely on your computer, and connects it to AI, creating magic from your data.

- [screenpipe @ GitHub](https://github.com/mediar-ai/screenpipe).]]>
            </summary>
            <updated>2025-08-29T01:20:57+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3390</id>
            <title type="text"><![CDATA[Pika]]></title>
            <link rel="alternate" href="https://pika.art/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3390"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Video on command. Pika puts creative control where it belongs: in your hands.

Pika is a image to video generator using ai.]]>
            </summary>
            <updated>2025-08-29T01:21:56+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3400</id>
            <title type="text"><![CDATA[K8sGPT]]></title>
            <link rel="alternate" href="https://k8sgpt.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3400"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Giving Kubernetes Superpowers to everyone.

k8sgpt is a tool for scanning your Kubernetes clusters, diagnosing, and triaging issues in simple English.
It has SRE experience codified into its analyzers and helps to pull out the most relevant information to enrich it with AI.

- [K8sGPT @ GitHub](https://github.com/k8sgpt-ai/k8sgpt).
- [Veille de la semaine du 23 septembre 2024 @ Veille de la semaine&amp;#039;s Substack :fr:](https://guikingone.substack.com/p/veille-de-la-semaine-du-23-septembre).]]>
            </summary>
            <updated>2025-08-29T01:22:59+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3403</id>
            <title type="text"><![CDATA[PearAI]]></title>
            <link rel="alternate" href="https://trypear.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3403"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open Source AI Code Editor for Fast Development. The Open Source AI-Powered Code Editor. A fork of VSCode and Continue. 

- [PearAI @ GitHub](https://github.com/trypear/pearai-app).
- [Veille de la semaine du 23 septembre 2024 @ Veille de la semaine&amp;#039;s Substack :fr:](https://guikingone.substack.com/p/veille-de-la-semaine-du-23-septembre).]]>
            </summary>
            <updated>2025-08-29T01:24:59+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3414</id>
            <title type="text"><![CDATA[QRBTF]]></title>
            <link rel="alternate" href="https://qrbtf.com/en" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3414"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[AI QR Code Generator.

- [QRBTF @ GitHub](https://github.com/latentcat/qrbtf).]]>
            </summary>
            <updated>2025-08-29T01:25:59+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3424</id>
            <title type="text"><![CDATA[Crew AI]]></title>
            <link rel="alternate" href="https://www.crewai.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3424"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks. 

- [Crew AI @ GitHub](https://github.com/crewAIInc/crewAI).

Related contents:

- [S5E8 - Votre téléphone vous ment (et c&amp;#039;est fascinant) @ Underscore_&amp;#039;s acast :fr:](https://shows.acast.com/micode-underscore/episodes/s5e8-votre-telephone-vous-ment-et-cest-fascinant).
- [Tour d&amp;#039;horizon des frameworks pour créer des applications basées sur les LLM @ Data-Crafting.io :fr:](https://datacrafting.substack.com/p/tour-dhorizon-des-frameworks-pour).]]>
            </summary>
            <updated>2025-08-29T01:27:01+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3425</id>
            <title type="text"><![CDATA[AutoGen]]></title>
            <link rel="alternate" href="https://microsoft.github.io/autogen/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3425"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[An Open-Source Programming Framework for Agentic AI

- [AutoGen @ GitHub](https://github.com/microsoft/autogen).
- [Tour d&amp;#039;horizon des frameworks pour créer des applications basées sur les LLM @ Data-Crafting.io :fr:](https://datacrafting.substack.com/p/tour-dhorizon-des-frameworks-pour).]]>
            </summary>
            <updated>2025-08-29T01:27:01+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3426</id>
            <title type="text"><![CDATA[LlamaIndex]]></title>
            <link rel="alternate" href="https://www.llamaindex.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3426"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Data Framework for LLM Applications.

LlamaIndex (GPT Index) is a data framework for your LLM application. Building with LlamaIndex typically involves working with LlamaIndex core and a chosen set of integrations (or plugins). There are two ways to start building with LlamaIndex in Python:

- [LlamaIndex @ GitHub](https://github.com/run-llama/llama_index).

Related contents:

- [Tour d&amp;#039;horizon des frameworks pour créer des applications basées sur les LLM @ Data-Crafting.io :fr:](https://datacrafting.substack.com/p/tour-dhorizon-des-frameworks-pour).
- [7 Lessons from building a small-scale AI application @ Richard Li](https://www.thelis.org/blog/lessons-from-ai).
- [Production RAG: what I learned from processing 5M+ documents @ Abdellatif Abdelfattah](https://blog.abdellatif.io/production-rag-processing-5m-documents).]]>
            </summary>
            <updated>2025-10-21T11:49:44+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3427</id>
            <title type="text"><![CDATA[🦜️🔗 LangChain]]></title>
            <link rel="alternate" href="https://www.langchain.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3427"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The largest community building the future of LLM apps

LangChain’s flexible abstractions and AI-first toolkit make it the #1 choice for developers when building with GenAI.
Join 1M+ builders standardizing their LLM app development
in LangChain&amp;#039;s Python and JavaScript frameworks.

- [LangChain @ GitHub](https://github.com/langchain-ai).

Related contents:

- [\#307.src - Langchain: Faire de l&amp;#039;IA comme des Lego avec Maxime Thoonsen @ &amp;lt;ifttd&amp;gt;](https://www.ifttd.io/episodes/langchain).
- [Tour d&amp;#039;horizon des frameworks pour créer des applications basées sur les LLM @ Data-Crafting.io :fr:](https://datacrafting.substack.com/p/tour-dhorizon-des-frameworks-pour).
- [\#304.bin - Bilan 2024: Le début de la révolution avec Quentin Adam @ &amp;lt;ifttd&amp;gt;](https://www.ifttd.io/episodes/bilan-2024).
- [Construire son RAG (Retrieval Augmented Generation) grâce à langchain: L’exemple de l’Helpdesk d’OCTO @ OCTO talks :fr:](https://blog.octo.com/le-chatbot-docto-langchain-rag-et-code-associe).
- [CLI Chatbot with LangChain and OpenAI in Node.js @ rw;eruch](https://www.robinwieruch.de/langchain-node-js-openai/).
- [Meetup GenAI - Découverte de LangChain @ Flint&amp;#039;s YouTube :fr:](https://www.youtube.com/watch?v=0ImjWIo5fyM).
- [Agents 2.0: From Shallow Loops to Deep Agents @ PHILSCHMID](https://www.philschmid.de/agents-2.0-deep-agents).
- [Production RAG: what I learned from processing 5M+ documents @ Abdellatif Abdelfattah](https://blog.abdellatif.io/production-rag-processing-5m-documents).
- [Intégration de Google Drive avec langchain @ Octo talks! :fr:](https://blog.octo.com/integration-de-google-drive-avec-langchain).
- [Deux techniques pour ingérer des pages web pour le RAG : BeautifulSoup vs Docling @ lbke :fr:](https://links.biapy.com/links/3427/edit).
- [Créer un RAG avec LangChain en 5 étapes @ lbke :fr:](https://www.lbke.fr/formations/rag-introduction-langchain/rag-avec-langchain).
- [RAG Against The Machine @ Quoi de neuf les devs ? :fr:](https://happytodev.substack.com/p/quoi-de-neuf-les-devs-153-veille?open=false#%C2%A7rag-against-the-machine).
- [LangChain, LangGraph Flaws Expose Files, Secrets, Databases in Widely Used AI Frameworks @ The Hacker News](https://thehackernews.com/2026/03/langchain-langgraph-flaws-expose-files.html).]]>
            </summary>
            <updated>2026-03-30T18:57:21+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3453</id>
            <title type="text"><![CDATA[Kotaemon]]></title>
            <link rel="alternate" href="https://cinnamon.github.io/kotaemon/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3453"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[An open-source RAG-based tool for chatting with your documents. 

An open-source clean &amp;amp; customizable RAG UI for chatting with your documents. Built with both end users and developers in mind.

- [Kotaemon @ GitHub](https://github.com/Cinnamon/kotaemon).]]>
            </summary>
            <updated>2025-08-29T01:33:04+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3488</id>
            <title type="text"><![CDATA[🤖 Claude Engineer]]></title>
            <link rel="alternate" href="https://github.com/Doriandarko/claude-engineer" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3488"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Claude Engineer is an advanced interactive command-line interface (CLI) that harnesses the power of Anthropic&amp;#039;s Claude 3 and Claude 3.5 models to assist with a wide range of software development tasks. This tool seamlessly combines the capabilities of state-of-the-art large language models with practical file system operations, web search functionality, intelligent code analysis, and execution capabilities.

- [Claude Engineer - L&amp;#039;IA qui crée ses propres outils @ Korben :fr:](https://korben.info/claude-engineer-ia-creation-outils-automatisation.html).]]>
            </summary>
            <updated>2025-08-29T01:38:05+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3499</id>
            <title type="text"><![CDATA[Void]]></title>
            <link rel="alternate" href="https://voideditor.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3499"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The open source AI code editor.

Void is an open source Cursor alternative. Write code with the best AI tools, retain full control over your data, and access powerful AI features.

- [Void @ GitHub](https://github.com/voideditor/void).]]>
            </summary>
            <updated>2025-08-29T01:41:08+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3537</id>
            <title type="text"><![CDATA[PrivateGPT.dev]]></title>
            <link rel="alternate" href="https://privategpt.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3537"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Local &amp;amp; OnPremise AI. Run LLMs offline. Tap into your private knowledge base.
Interact with your documents using the power of GPT, 100% privately, no data leaks 

PrivateGPT is a production-ready AI project that allows you to ask questions about your documents using the power of Large Language Models (LLMs), even in scenarios without an Internet connection. 100% private, no data leaves your execution environment at any point.

- [PrivateGPT @ GitHub](https://github.com/zylon-ai/private-gpt).]]>
            </summary>
            <updated>2025-08-29T01:46:09+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3557</id>
            <title type="text"><![CDATA[ell]]></title>
            <link rel="alternate" href="https://docs.ell.so/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3557"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[ell is a lightweight prompt engineering library treating prompts as functions.

- [ell @ GitHub](https://github.com/MadcowD/ell).]]>
            </summary>
            <updated>2025-08-29T01:49:15+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3576</id>
            <title type="text"><![CDATA[Dot]]></title>
            <link rel="alternate" href="https://dotapp.uk/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3576"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Text-To-Speech, RAG, and LLMs. All local!

Dot is a standalone, open-source application designed for seamless interaction with documents and files using local LLMs and Retrieval Augmented Generation (RAG). It is inspired by solutions like Nvidia&amp;#039;s Chat with RTX, providing a user-friendly interface for those without a programming background. Using the Phi-3 LLM by default, Dot ensures accessibility and simplicity right out of the box.

- [Dot – L’app IA locale pour interagir avec vos documents (RAG) @ Korben :fr:](https://korben.info/dot-app-ia-locale-interagir-documents.html).]]>
            </summary>
            <updated>2025-08-29T01:53:15+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3685</id>
            <title type="text"><![CDATA[Plandex]]></title>
            <link rel="alternate" href="https://plandex.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3685"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[AI coding engine for complex tasks. Build complex software with AI.

An open source, terminal-based AI coding engine.
Designed for real-world tasks that span many files.

- [Plandex @ GitHub](https://github.com/plandex-ai/plandex).

Related contents:

- [Plandex – L’assistant qui dev @ Korben :fr:](https://korben.info/plandex-ia-developpeurs-productivite-code.html).]]>
            </summary>
            <updated>2025-08-29T02:10:23+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3773</id>
            <title type="text"><![CDATA[InstructLab]]></title>
            <link rel="alternate" href="https://instructlab.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3773"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A new community-based approach to build truly open-source LLMs.

InstructLab Command-Line Interface. Use this to chat with a model and execute the InstructLab workflow to train a model using custom taxonomy data. 

- [InstructLab 🐶 (ilab) @ GitHub](https://github.com/instructlab/instructlab).
- [Spécial été 2024 : retour sur la conférence WeAreDevs et les tendances Tech @ AXOPEN YouTube :fr:](https://www.youtube.com/watch?v=daVHfuM1ios).
- [InstructLab: Advancing generative AI through open source @ Red Hat Developer](https://developers.redhat.com/articles/2024/05/07/instructlab-open-source-generative-ai).]]>
            </summary>
            <updated>2025-08-29T02:25:33+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3785</id>
            <title type="text"><![CDATA[Flux @ Black Forest Labs]]></title>
            <link rel="alternate" href="https://blackforestlabs.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3785"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[state-of-the-art performance image generation with top of the line prompt following, visual quality, image detail and output diversity. 

- [Flux Is The Open-Source Midjourney Killer Everyone&amp;#039;s Talking About! @ It&amp;#039;s FOSS News](https://news.itsfoss.com/flux-image-generator/).]]>
            </summary>
            <updated>2025-08-29T02:27:32+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3805</id>
            <title type="text"><![CDATA[Dioptra]]></title>
            <link rel="alternate" href="https://pages.nist.gov/dioptra/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3805"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Dioptra is a software test platform for assessing the trustworthy characteristics of artificial intelligence (AI). Trustworthy AI is: valid and reliable, safe, secure and resilient, accountable and transparent, explainable and interpretable, privacy-enhanced, and fair - with harmful bias managed1. Dioptra supports the Measure function of the NIST AI Risk Management Framework by providing functionality to assess, analyze, and track identified AI risks.

- [Dioptra @ GitHub](https://github.com/usnistgov/dioptra).]]>
            </summary>
            <updated>2025-08-29T02:30:38+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3807</id>
            <title type="text"><![CDATA[X-CMD]]></title>
            <link rel="alternate" href="https://www.x-cmd.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3807"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Your AI-Powered Excalibur in Cloud.  X bootstrap 1000+ tools and your scripts. 

Lightweight POSIX script for managing tools (500+) and providing classic command extensions in an open-source environment.

- [X-CMD @ GitHub](https://github.com/x-cmd/x-cmd).]]>
            </summary>
            <updated>2025-08-29T02:31:33+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3863</id>
            <title type="text"><![CDATA[CommandAI]]></title>
            <link rel="alternate" href="https://commandai.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3863"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Command Line Utilities With The Power of AI.

 Experience the power of Command AI: your AI-powered command line companion that makes complex tasks simple and intuitive. 

- [CommandAI @ GitHub](https://github.com/CommandAI/ai-cli).]]>
            </summary>
            <updated>2025-08-29T02:41:39+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3864</id>
            <title type="text"><![CDATA[Mutable.ai]]></title>
            <link rel="alternate" href="https://mutable.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3864"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Create an AI expert for any codebase]]>
            </summary>
            <updated>2025-08-29T02:41:40+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3867</id>
            <title type="text"><![CDATA[Perplexica]]></title>
            <link rel="alternate" href="https://github.com/ItzCrazyKns/Perplexica/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3867"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Perplexica is an AI-powered search engine. It is an Open source alternative to Perplexity AI.

Perplexica is an open-source AI-powered searching tool or an AI-powered search engine that goes deep into the internet to find answers. Inspired by Perplexity AI, it&amp;#039;s an open-source option that not just searches the web but understands your questions. It uses advanced machine learning algorithms like similarity searching and embeddings to refine results and provides clear answers with sources cited.

- [Perplexica – Le moteur de recherche open source propulsé à l’IA @ Korben :fr:](https://korben.info/perplexica-outil-open-source-revolutionne-recherche-web.html).]]>
            </summary>
            <updated>2025-08-29T02:41:41+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3902</id>
            <title type="text"><![CDATA[FastHTML]]></title>
            <link rel="alternate" href="https://fastht.ml/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3902"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The fastest way to create an HTML app.


Modern web applications in pure Python.
Built on solid web foundations, not the latest fads - with FastHTML you can get started on anything from simple dashboards to scalable web applications in minutes.

FastHTML is a new next-generation web framework for fast, scalable web applications with minimal, compact code.

- [FastHTML @ GitHub](https://github.com/AnswerDotAI/fasthtml).]]>
            </summary>
            <updated>2025-08-29T02:46:43+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3921</id>
            <title type="text"><![CDATA[Celp]]></title>
            <link rel="alternate" href="https://www.celp.ai/?sc=2710522184f852cc1f70f5bb8057466bc8ea5681d" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3921"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Write code, not tests.

Contextually Aware AI-Driven Unit Test Generation for Typescript Node.js projects.
Celp generates contextually relevant unit tests for Typescript node.js projects, saving you hours.]]>
            </summary>
            <updated>2025-08-29T02:49:48+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3940</id>
            <title type="text"><![CDATA[Deblank]]></title>
            <link rel="alternate" href="https://deblank.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3940"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[AI design tools for inspiration. Your smart design companion.

Not just a suite of AI tools, but a creative partner for design inspiration. Boost your design process and eliminate the daunting blank page with clever recommendations and useful visuals.]]>
            </summary>
            <updated>2025-08-29T02:53:48+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4027</id>
            <title type="text"><![CDATA[Open WebUI]]></title>
            <link rel="alternate" href="https://openwebui.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4027"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Unlock your LLM&amp;#039;s creativity.  User-friendly WebUI for LLMs (Formerly Ollama WebUI) 

Open WebUI is an extensible, self-hosted interface for AI that adapts to your workflow, all while operating entirely offline.

Open WebUI is an extensible, feature-rich, and user-friendly self-hosted WebUI designed to operate entirely offline. It supports various LLM runners, including Ollama and OpenAI-compatible APIs. For more information, be sure to check out our Open WebUI Documentation.

- [Open WebUi @ GitHub](https://github.com/open-webui/open-webui).

Related contents:

- [host ALL your AI locally @ NetworkChuck&amp;#039;s YouTube](https://www.youtube.com/watch?v=Wjrdr0NU4Sk).
- [DeepSeek Local: How to Self-Host DeepSeek (Privacy and Control) @ LinuxBlog.io](https://linuxblog.io/deepseek-local-self-host/).
- [Self-Hosted Private LLM using Ollama and Open WebUI @ Getting Started](https://www.gettingstarted.ai/self-host-llm/)h
- [LLMs on Kubernetes Part 1: Understanding the threat model @ CNCF](https://www.cncf.io/blog/2026/03/30/llms-on-kubernetes-part-1-understanding-the-threat-model/).]]>
            </summary>
            <updated>2026-04-07T05:46:21+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4062</id>
            <title type="text"><![CDATA[C2PA]]></title>
            <link rel="alternate" href="https://c2pa.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4062"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Coalition for Content Provenance and Authenticity.

An open technical standard providing publishers, creators, and consumers the ability to trace the origin of different types of media. 

- [C2PA @ GitHub](https://github.com/c2pa-org).

Related contents:

- [481 : Episode du 12 février 2025 @ Les Technos :fr:](https://lestechnos.be/les-technos-481-episode-du-12-fevrier/).]]>
            </summary>
            <updated>2025-08-29T03:14:03+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4107</id>
            <title type="text"><![CDATA[MindsDB]]></title>
            <link rel="alternate" href="https://mindsdb.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4107"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[AI Development Cloud Platform, Real Time AI &amp;amp; ML, Deploy &amp;amp; Manage AI.
MindsDB is the most widely used AI data automation platform.

MindsDB is the platform for customizing AI from enterprise data. You can create, serve, and fine-tune models in real-time from your database, vector store, and application data. 

- [MindsDB @ GitHub](https://github.com/mindsdb/mindsdb).]]>
            </summary>
            <updated>2025-08-29T03:22:03+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4130</id>
            <title type="text"><![CDATA[LibreChat]]></title>
            <link rel="alternate" href="https://www.librechat.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4130"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Every AI in One PlaceBuilt for Everyone

LibreChat is a free, open source AI chat platform. This Web UI offers vast customization, supporting numerous AI providers, services, and integrations. Serves all AI Conversations in one place with a familiar interface, innovative enhancements, for as many users as you need.

 Enhanced ChatGPT Clone: Features OpenAI, Assistants API, Azure, Groq, GPT-4 Vision, Mistral, Bing, Anthropic, OpenRouter, Vertex AI, Gemini, AI model switching, message search, langchain, DALL-E-3, ChatGPT Plugins, OpenAI Functions, Secure Multi-User System, Presets, completely open-source for self-hosting. More features in development 

- [LibreChat @ GitHub](https://github.com/danny-avila/LibreChat).]]>
            </summary>
            <updated>2025-08-29T03:26:04+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4138</id>
            <title type="text"><![CDATA[ToonCrafter]]></title>
            <link rel="alternate" href="https://toon-crafter.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4138"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[AI Cartoon Animation Generator.

Bring your cartoons to life with ToonCrafter, the AI-powered animation tool. Simply upload your keyframes and let our advanced algorithms create smooth, stylized animations that match your artwork perfectly. Unleash your creativity and start animating today!

- [ToonCrafter @ GitHub](https://github.com/ToonCrafter/ToonCrafter).
- [Computex 2024 @ Tech Café :fr:](https://techcafe.fr/computex-2024/).]]>
            </summary>
            <updated>2025-08-29T03:26:09+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4171</id>
            <title type="text"><![CDATA[ILLA Cloud]]></title>
            <link rel="alternate" href="https://illacloud.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4171"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Create business apps like assembling blocks.
Build website&amp;amp;app with low code, make automated flow, create AI Agent easily.

Low-code platform allows you to build business apps, enables you to quickly create internal tools such as dashboard, crud app, admin panel, crm, cms, etc. Supports PostgreSQL, MySQL, Supabase, GraphQL, MongoDB, MSSQL, Rest API, Hugging Face, Redis, etc. Automate workflows with schedule or webhook. Open source Retool. 

- [ILLA Builder @ GitHub](https://github.com/illacloud/illa-builder).
- [La veille des Ours - nº24 @ Bearstech&amp;#039;s LinkedIn :fr:](https://www.linkedin.com/pulse/la-veille-des-ours-n%25C2%25BA23-bearstech-ytbef/).]]>
            </summary>
            <updated>2025-08-29T03:32:05+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4174</id>
            <title type="text"><![CDATA[Devika]]></title>
            <link rel="alternate" href="https://github.com/stitionai/devika" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4174"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Devika is an Agentic AI Software Engineer that can understand high-level human instructions, break them down into steps, research relevant information, and write code to achieve the given objective. Devika aims to be a competitive open-source alternative to Devin by Cognition AI.

- [Devika – Votre ingénieur logiciel personnel @ Korben :fr:](https://korben.info/devika-ia-revolutionnaire-developpement-logiciel.html).]]>
            </summary>
            <updated>2025-08-29T03:32:07+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4204</id>
            <title type="text"><![CDATA[CodiumAI]]></title>
            <link rel="alternate" href="https://www.codium.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4204"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Meaningful Code Tests for Busy Devs.

With CodiumAI, you get non-trivial suggestions (and trivial, too!) suggested right inside your IDE or Git platform, so you can code smart and stay confident when you push. Code, as you meant it.

- [CodiumAI Cover-Agent @ GitHub](https://github.com/Codium-ai/cover-agent).]]>
            </summary>
            <updated>2025-08-29T03:38:10+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4214</id>
            <title type="text"><![CDATA[Dataherald AI]]></title>
            <link rel="alternate" href="https://dataherald.readthedocs.io/en/latest/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4214"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Dataherald is a natural language-to-SQL engine built for enterprise-level question answering over relational data. It allows you to set up an API from your database that can answer questions in plain English.]]>
            </summary>
            <updated>2025-08-29T03:39:09+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4243</id>
            <title type="text"><![CDATA[Activepieces]]></title>
            <link rel="alternate" href="https://www.activepieces.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4243"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open source no-code business automation · Zapier open source alternative.

 Your friendliest open source all-in-one automation tool ✨ Workflow automation tool 100+ integration / Enterprise automation tool / Zapier, n8n, ifttt Alternative 

- [Activepieces @ GitHub](https://github.com/activepieces/activepieces).]]>
            </summary>
            <updated>2025-08-29T03:44:12+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4257</id>
            <title type="text"><![CDATA[Project IDX]]></title>
            <link rel="alternate" href="https://idx.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4257"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Project IDX is an AI-assisted workspace for full-stack, multiplatform app development in the cloud. With support for a broad range of frameworks, languages, and services, alongside integrations with your favorite Google products, IDX streamlines your development workflow so you can build and ship apps across platforms with speed, ease, and quality.]]>
            </summary>
            <updated>2025-08-29T03:46:17+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4287</id>
            <title type="text"><![CDATA[The Shape of AI]]></title>
            <link rel="alternate" href="https://www.shapeof.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4287"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[How will patterns and experiences evolve in a world shaped by Artificial Intelligence?

AI is accelerating change. Companies are reacting by “doing AI”without prioritizing the experience of the people on the receiving end–Design is more important than ever. To respond, we must get smart, fast. This starts with understanding the emerging patterns of interaction, affordances, and heuristics in an AI world. The pages below are summaries of the current state.]]>
            </summary>
            <updated>2025-08-29T03:51:16+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4300</id>
            <title type="text"><![CDATA[Albert]]></title>
            <link rel="alternate" href="https://github.com/etalab-ia/albert" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4300"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Backend ressources for Albert. Albert, also known as LIA (Legal Information Assistant), is a conversational agent that uses official French data sources to answer administrative agents questions.]]>
            </summary>
            <updated>2025-08-29T03:54:20+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4337</id>
            <title type="text"><![CDATA[Whisper.c++]]></title>
            <link rel="alternate" href="https://github.com/ggerganov/whisper.cpp" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4337"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Port of OpenAI&amp;#039;s Whisper model in C/C++]]>
            </summary>
            <updated>2025-08-29T03:59:21+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4340</id>
            <title type="text"><![CDATA[SUPIR]]></title>
            <link rel="alternate" href="https://supir.xpixel.group/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4340"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Text-driven, intelligent restoration, blending AI technology with creativity to give every image a brand new life.  Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild.

SUPIR aims at developing Practical Algorithms for Photo-Realistic Image Restoration In the Wild.

- [SUPIR @ GitHub](https://github.com/Fanghua-Yu/SUPIR).
- [SUPIR – L’IA qui restaure vos photos comme jamais @ Korben :fr:](https://korben.info/supir-revolutionnary-ai-powered-image-restoration-high-quality-text-guided-control.html).]]>
            </summary>
            <updated>2025-08-29T04:00:19+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4364</id>
            <title type="text"><![CDATA[DeepL Translate]]></title>
            <link rel="alternate" href="https://www.deepl.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4364"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Translate and communicate with ease

Spend less time translating and more time on the task at hand. No matter what or where you&amp;#039;re translating, DeepL Pro ensures it&amp;#039;s accurate, secure, and tailored to your needs.]]>
            </summary>
            <updated>2025-08-29T04:04:21+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4370</id>
            <title type="text"><![CDATA[ClarityAI]]></title>
            <link rel="alternate" href="https://clarityai.cc/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4370"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[AI Image Upscaler &amp;amp; Enhancer - Magnific Alternative. Upscale your images with AI Magic.

ClarityAI is a high resolution upscaler which also can enhance your images and add details. You can decide how much you want the AI to add details to your images.

- [ClarityAI @ GitHub](https://github.com/philz1337x/clarity-upscaler/).
- [s4e13 - UNDERSCORE_ : $50 000 pour hacker l&amp;#039;IA de Google ! @ Micode&amp;#039;s Twitch :fr:](https://www.twitch.tv/videos/2103081056).]]>
            </summary>
            <updated>2025-08-29T04:06:23+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4372</id>
            <title type="text"><![CDATA[Ferret]]></title>
            <link rel="alternate" href="https://github.com/apple/ml-ferret" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4372"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Refer and Ground Anything Anywhere at Any Granularity.

An End-to-End MLLM that Accept Any-Form Referring and Ground Anything in Response.

- [🚀🚀Introducing Ferret, a new MLLM that can refer and ground anything anywhere at any granularity @ Zhe Gan&amp;#039;s Twitter](https://twitter.com/zhegan4/status/1712345137983201716).
- [Apple&amp;#039;s &amp;#039;Ferret&amp;#039; is a new open-source machine learning model @ Apple Insider](https://appleinsider.com/articles/23/12/24/apples-ferret-is-a-new-open-source-machine-learning-model).
- [s4e13 - UNDERSCORE_ : $50 000 pour hacker l&amp;#039;IA de Google ! @ Micode&amp;#039;s Twitch :fr:](https://www.twitch.tv/videos/2103081056).]]>
            </summary>
            <updated>2025-08-29T04:06:24+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4399</id>
            <title type="text"><![CDATA[Le Bazar de Karim @ Notion :fr:]]></title>
            <link rel="alternate" href="https://kmatrah.notion.site/Toutes-les-ressources-Dev-AI-SaaS-Marketing-int-ressantes-que-j-utilise-7124561d5a8a4d07addfe061e9a8ee96" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4399"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Interesting dev, AI, SaaS, Marketing resources.]]>
            </summary>
            <updated>2025-08-29T04:10:28+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4410</id>
            <title type="text"><![CDATA[Reor]]></title>
            <link rel="alternate" href="https://www.reorproject.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4410"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Self-organizing AI note-taking app that runs models locally.

Reor is an AI-powered desktop note-taking app: it automatically links related ideas, answers questions on your notes and provides semantic search. Everything is stored locally and you can edit your notes with an Obsidian-like markdown editor.

- [Reor @ GitHub](https://github.com/reorproject/reor).
- [Reor – L’appli magique de prise de notes boostée à l’IA locale et gratuite @ Korben :fr:](https://korben.info/outil-prise-notes-intelligence-artificielle-reor-project.html).]]>
            </summary>
            <updated>2025-08-29T04:11:26+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4411</id>
            <title type="text"><![CDATA[Jan]]></title>
            <link rel="alternate" href="https://jan.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4411"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Rethink the Computer. Turn your computer into an AI machine.

Jan is an open source alternative to ChatGPT that runs 100% offline on your computer.

- [Jan @ GitHub](https://github.com/janhq/jan).

Related contents:

- [Jan – Le « ChatGPT » local et open source à installer sur votre machine @ Korben :fr:](https://korben.info/jan-open-source-chatgpt-alternative-hors-ligne-personnalisable.html).]]>
            </summary>
            <updated>2025-08-29T04:12:24+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4413</id>
            <title type="text"><![CDATA[life2vec - Official Model and Paper Page]]></title>
            <link rel="alternate" href="https://life2vec.dk/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4413"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Using Sequences of Life-events to Predict Human Lives.

We represent human lives in a way that shares structural similarity to language, and we exploit this similarity to adapt natural language processing techniques to examine the evolution and predictability of human lives based on detailed event sequences. We do this by drawing on a comprehensive registry dataset, which is available for Denmark across several years, and that includes information about life-events related to health, education, occupation, income, address and working hours, recorded with day-to-day resolution. 

- [live2vec @ GitHub](https://github.com/SocialComplexityLab/life2vec).
- [Life2vec – Une IA danoise qui prédit votre vie et… votre mort ! @ Korben :fr:](https://korben.info/life2vec-ia-danoise-predit-vie-donnees.html).]]>
            </summary>
            <updated>2025-08-29T04:12:25+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4432</id>
            <title type="text"><![CDATA[MIA :fr:]]></title>
            <link rel="alternate" href="https://www.mia-app.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4432"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[La plateforme d&amp;#039;IA qui simplifie l&amp;#039;analyse des données à tous les métiers. Piloter aujourd&amp;#039;hui. Anticiper demain. Dès maintenant.

MIA est une solution No Code d’analyse de données, basée sur l’Intelligence Artificielle, qui s&amp;#039;adapte à votre profil. Simple. Efficace. Rapide

- [261 - No code pour l’IA - Pascal Corrotti @ &amp;lt;ifttd&amp;gt; :fr:](https://www.ifttd.io/episodes/no-code-pour-l-ia).]]>
            </summary>
            <updated>2025-08-29T04:15:36+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4439</id>
            <title type="text"><![CDATA[FaceFusion]]></title>
            <link rel="alternate" href="https://github.com/facefusion/facefusion" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4439"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Next generation face swapper and enhancer]]>
            </summary>
            <updated>2025-08-29T04:16:28+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4457</id>
            <title type="text"><![CDATA[MyShell]]></title>
            <link rel="alternate" href="https://myshell.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4457"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Democratizing &amp;amp; Decentralizing AI-native apps.

MyShell is a decentralized and comprehensive platform for discovering, creating, and staking AI-native apps.]]>
            </summary>
            <updated>2025-08-29T04:19:31+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4472</id>
            <title type="text"><![CDATA[Badget]]></title>
            <link rel="alternate" href="https://www.badget.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4472"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Budget Better, Gain More Experience Badget

Badget aims to simplify financial management with a user-friendly interface and robust backend. Empower your financial management with AI-driven insights, making tracking and optimizing your finances effortless.

- [Badget @ GitHub](https://github.com/projectx-codehagen/Badget).]]>
            </summary>
            <updated>2025-08-29T04:22:36+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4487</id>
            <title type="text"><![CDATA[luminal]]></title>
            <link rel="alternate" href="https://www.luminalai.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4487"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[deep learning at the speed of light.

Luminal is a deep learning library that uses composable compilers to achieve high performance.

- [Luminal @ GitHub](https://github.com/jafioti/luminal).]]>
            </summary>
            <updated>2025-08-29T04:24:43+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4492</id>
            <title type="text"><![CDATA[BRIA Background Removal v1.4 @ Hugging Face]]></title>
            <link rel="alternate" href="https://huggingface.co/briaai/RMBG-1.4" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4492"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[RMBG v1.4 is our state-of-the-art background removal model, designed to effectively separate foreground from background in a range of categories and image types. This model has been trained on a carefully selected dataset, which includes: general stock images, e-commerce, gaming, and advertising content, making it suitable for commercial use cases powering enterprise content creation at scale. The accuracy, efficiency, and versatility currently rival leading open source models. It is ideal where content safety, legally licensed datasets, and bias mitigation are paramount.

- [BRIA Background Removal v1.4 Model Card @ GitHub](https://github.com/chenxwh/cog-RMBG).
- [S4E10 - Quel destin pour l’Apple Vision Pro ? @ Underscore_&amp;#039;s Acast :fr:](https://shows.acast.com/micode-underscore/episodes/s4e10-quel-destin-pour-lapple-vision-pro).]]>
            </summary>
            <updated>2025-08-29T04:26:34+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4493</id>
            <title type="text"><![CDATA[Floneum]]></title>
            <link rel="alternate" href="https://floneum.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4493"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A toolkit for controllable, private AI on consumer hardware in rust.

Floneum is a graph editor that makes it easy to develop your own AI workflows.
Floneum allows you to build workflows that use large language models with a simple drag and drop interface.

- [Floneum @ GitHub](https://github.com/floneum/floneum).
- [S4E10 - Quel destin pour l’Apple Vision Pro ? @ Underscore_&amp;#039;s Acast :fr:](https://shows.acast.com/micode-underscore/episodes/s4e10-quel-destin-pour-lapple-vision-pro).]]>
            </summary>
            <updated>2025-08-29T04:26:34+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4496</id>
            <title type="text"><![CDATA[Unsloth AI]]></title>
            <link rel="alternate" href="https://unsloth.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4496"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Finetune AI &amp;amp; LLMs faster.
 Web UI for training and running open models like Gemma 4, Qwen3.6, DeepSeek, gpt-oss locally. 

Unslow AI training &amp;amp; finetuning Get 30x faster with unsloth.  5X faster 60% less memory QLoRA finetuning. Finetune Mistral, Gemma, Llama 2-5x faster with 70% less memory!

- [Unsloth @ GitHub](https://github.com/unslothai/unsloth).
- [Unsloth AI @ Hugging Face](https://huggingface.co/unsloth).

Related contents:

- [S4E10 - Quel destin pour l’Apple Vision Pro ? @ Underscore_&amp;#039;s Acast :fr:](https://shows.acast.com/micode-underscore/episodes/s4e10-quel-destin-pour-lapple-vision-pro).
- [7 Lessons from building a small-scale AI application @ Richard Li](https://www.thelis.org/blog/lessons-from-ai).
- [Qwen3.6 35B A3B en IQ2_M sur une GTX 1070 : mission accomplie @ Yves Rougy :fr:](https://www.rougy.net/blog/20260526-qwen3.6-35b-a3b-gtx1070/).]]>
            </summary>
            <updated>2026-06-17T06:03:54+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4497</id>
            <title type="text"><![CDATA[Ollama]]></title>
            <link rel="alternate" href="https://ollama.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4497"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Get up and running with large language models, locally.

Run Llama 2, Code Llama, Mistral, Gemma, and other models. Customize and create your own.

- [Ollama @ GitHub](https://github.com/ollama/ollama).

Related contents:

- [Local RAG with Ollama, Mistral, and Turso @ Turso&amp;#039;s blog](https://turso.tech/blog/local-rag-with-ollama-and-turso-sqlite).
- [S4E10 - Quel destin pour l’Apple Vision Pro ? @ Underscore_&amp;#039;s Acast :fr:](https://shows.acast.com/micode-underscore/episodes/s4e10-quel-destin-pour-lapple-vision-pro).
- [Ollama Course – Build AI Apps Locally @ freeCodeCamp.org&amp;#039;s YouTube](https://www.youtube.com/watch?v=GWB9ApTPTv4).
- [Detecting Exposed LLM Servers: A Shodan Case Study on Ollama @ Cisco Blogs](https://blogs.cisco.com/security/detecting-exposed-llm-servers-shodan-case-study-on-ollama).
- [Ollama - 14 000 serveurs IA laissés en libre-service sur Internet @ Korben :fr:](https://korben.info/ollama-serveurs-vulnerabilites-secrete.html).
- [Faire tourner un LLM localement sur votre ordinateur @ Quoi de neuf les devs ? :fr:](https://happytodev.substack.com/p/brent-roose-est-linvite-du-n147-de?open=false#%C2%A7faire-tourner-un-llm-localement-sur-votre-ordinateur).
- [The Ultimate Beginner&amp;#039;s Guide to Self-Hosting Your Own AI @ Arsturn](https://www.arsturn.com/blog/the-ultimate-beginners-guide-to-self-hosting-your-own-ai).
- [How to Run and Customize LLMs Locally with Ollama @ freeCodeCamp](https://www.freecodecamp.org/news/run-and-customize-llms-locally-with-ollama/).
- [LLMs on Kubernetes Part 1: Understanding the threat model @ CNCF](https://www.cncf.io/blog/2026/03/30/llms-on-kubernetes-part-1-understanding-the-threat-model/).
- [Faire tourner un modèle IA chez soi avec Ollama @ DomoPi :fr:](https://domopi.eu/faire-tourner-un-modele-ia-chez-soi-avec-ollama/).
- [Using AI for Terraform: running locally with Langflow, OpenSearch, &amp;amp; Ollama @ Rosemary Wang&amp;#039;s dev.to](https://dev.to/joatmon08/using-ai-for-terraform-running-a-locally-with-langflow-opensearch-ollama-5co6).
- [Using Local Coding Agents @ Ahead of AI](https://magazine.sebastianraschka.com/p/using-local-coding-agents).]]>
            </summary>
            <updated>2026-06-29T12:38:37+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4498</id>
            <title type="text"><![CDATA[BetterDictation.com]]></title>
            <link rel="alternate" href="https://betterdictation.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4498"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Type so fast, your boss will think there&amp;#039;s 3 of you!

BetterDictation is your personal scribe. You speak, and it will quickly and flawless transcribe into any app.

- [S4E10 - Quel destin pour l’Apple Vision Pro ? @ Underscore_&amp;#039;s Acast :fr:](https://shows.acast.com/micode-underscore/episodes/s4e10-quel-destin-pour-lapple-vision-pro).]]>
            </summary>
            <updated>2025-08-29T04:26:37+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4499</id>
            <title type="text"><![CDATA[Klap]]></title>
            <link rel="alternate" href="https://klap.app/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4499"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Turn videos into viral shorts.
Get ready-to-publish TikToks, Reels, Shorts from YouTube videos in a click.

- [S4E10 - Quel destin pour l’Apple Vision Pro ? @ Underscore_&amp;#039;s Acast :fr:](https://shows.acast.com/micode-underscore/episodes/s4e10-quel-destin-pour-lapple-vision-pro).]]>
            </summary>
            <updated>2025-08-29T04:26:37+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4561</id>
            <title type="text"><![CDATA[Snaplet]]></title>
            <link rel="alternate" href="https://www.snaplet.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4561"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Build faster, test better with production-like data in a snap!

Snaplet is an all-in-one developer tool that gives developers realistic, production-like data that they can code against.
Snaplet uses generative ai to give you realistic, production-like data for your Postgres database so you can code, debug, and test with ease.

- [Snaplet @ GitHub](https://github.com/snaplet/).
- [Snaplet @ Discord](https://discord.com/invite/aTMDKj6QJs).
- [Copier et anonymiser vos données de prod pour vos devs @ YoanDev :fr:](https://yoandev.co/copier-et-anonymiser-vos-donnees-de-prod-pour-vos-devs).
- [Copier et anonymiser vos données de prod pour vos devs ! @ YoanDev&amp;#039;s YouTube :fr:](https://www.youtube.com/watch?v=LaL4zYQkmqs).]]>
            </summary>
            <updated>2025-08-29T04:36:39+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4585</id>
            <title type="text"><![CDATA[Frigate NVR]]></title>
            <link rel="alternate" href="https://frigate.video/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4585"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Monitor your security cameras with locally processed AI.  NVR with realtime local object detection for IP cameras.

Frigate is an open source NVR built around real-time AI object detection. All processing is performed locally on your own hardware, and your camera feeds never leave your home.

- [Frigate @ GitHub](https://github.com/blakeblackshear/frigate).

Related contents:

- [Frigate-Notify homepage](https://frigate-notify.0x2142.com/latest/).
- [Frigate-Notify @ GitHub](https://github.com/0x2142/frigate-notify).
- [Building My Ultimate CCTV Setup: Frigate NVR &amp;amp; HikVision Smart Hybrid Cameras @ Cameron Gray&amp;#039;s YouTube](https://www.youtube.com/watch?v=BPbDyZJ9bK4).
- [Episode 629: Arch Enemies @ Linux Unplugged](https://linuxunplugged.com/629).
- [Upgrading my Open Source Pi Surveillance Server with Frigate @ Jeff Geerling](https://www.jeffgeerling.com/blog/2026/upgrading-my-open-source-pi-surveillance-server-frigate/).]]>
            </summary>
            <updated>2026-03-06T13:42:25+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4590</id>
            <title type="text"><![CDATA[pinokio]]></title>
            <link rel="alternate" href="https://pinokio.computer/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4590"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Install, Run &amp;amp; Control Databases on Your Computer with 1 Click.

Pinokio is a browser that lets you install, run, and programmatically control ANY application, automatically. No more opening the terminal. No more git clone. No more conda install. No more pip install. No more messing with execution environments.

- [Pinokio @ GitHub](https://github.com/pinokiocomputer/pinokio).
- [Pinokio – Automatisez et scriptez vos IA en un clic @ Korben :fr:](https://korben.info/pinokio-automatiser-scripter-ia-un-clic.html).]]>
            </summary>
            <updated>2025-08-29T04:42:44+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4593</id>
            <title type="text"><![CDATA[Taipy]]></title>
            <link rel="alternate" href="https://www.taipy.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4593"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Turns Data and AI algorithms into production-ready web applications in no time.  Taipy is an open-source Python library for building production-ready front-end &amp;amp; back-end in no time.

Taipy is an open-source Python library for easy, end-to-end application development,
featuring what-if analyses, smart pipeline execution, built-in scheduling, and deployment tools. 

- [Taipy @ GitHub](https://github.com/Avaiga/taipy).
- [ Streamlit is getting outdated @ LinkedIn&amp;#039;s Python Developers Community](https://www.linkedin.com/feed/update/urn:li:activity:7158773041328508930).]]>
            </summary>
            <updated>2025-08-29T04:42:45+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4609</id>
            <title type="text"><![CDATA[Paint Potion]]></title>
            <link rel="alternate" href="https://paint-potion.com" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4609"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Create stunning vector illustrations in seconds. Create stylish &amp;amp; consistent vector illustrations in seconds

Just type a prompt and our AI will generate four unique vector illustrations that maintain a consistent style. Perfect for busy web agencies and creative individuals, it simplifies and speeds up your design process.]]>
            </summary>
            <updated>2025-08-29T04:44:44+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4612</id>
            <title type="text"><![CDATA[Dark Visitors]]></title>
            <link rel="alternate" href="https://darkvisitors.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4612"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A List of Known AI Agents on the Internet.

Insight into the hidden ecosystem of autonomous chatbots and data scrapers crawling across the web. Protect your website from unwanted AI agent access.

Related contents:

- [Comment protéger vos serveurs et lutter efficacement contre les crawlers d’IA @ Bearstech :fr:](https://bearstech.com/societe/blog/comment-proteger-vos-serveurs-et-lutter-efficacement-contre-les-crawlers-dia).]]>
            </summary>
            <updated>2025-10-30T06:47:32+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4620</id>
            <title type="text"><![CDATA[Python Tutor]]></title>
            <link rel="alternate" href="https://pythontutor.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4620"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[visualize, debug, get AI help for Python, Java, C, C++, and JavaScript.

Python Tutor helps you do programming homework assignments in Python, Java, C, C++, and JavaScript. It contains a unique step-by-step visual debugger and AI tutor to help you understand and debug code.]]>
            </summary>
            <updated>2025-08-29T04:46:50+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4623</id>
            <title type="text"><![CDATA[Applied ML]]></title>
            <link rel="alternate" href="https://github.com/eugeneyan/applied-ml" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4623"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[📚 Papers &amp;amp; tech blogs by companies sharing their work on data science &amp;amp; machine learning in production.

Curated papers, articles, and blogs on data science &amp;amp; machine learning in production. ⚙️]]>
            </summary>
            <updated>2025-08-29T04:46:52+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4690</id>
            <title type="text"><![CDATA[Distil-Whisper]]></title>
            <link rel="alternate" href="https://github.com/huggingface/distil-whisper" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4690"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Distilled variant of Whisper for speech recognition. 6x faster, 50% smaller, within 1% word error rate.

- [Distil-Whisper @ Hugging Face](https://huggingface.co/collections/distil-whisper/distil-whisper-models-65411987e6727569748d2eb6).
- [Distil-Whisper – Pour faire de la reconnaissance vocale rapide @ Korben :fr:](https://korben.info/distil-whisper-revolution-reconnaissance-vocale-automatique.html).]]>
            </summary>
            <updated>2025-08-29T04:58:56+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4727</id>
            <title type="text"><![CDATA[Mistral AI :fr:]]></title>
            <link rel="alternate" href="https://mistral.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4727"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open source models

- [Mistral Transformer @ GitHub](https://github.com/mistralai/mistral-src).

Related content:

- [S5E6 - On reçoit le PDG de Mistral, Arthur Mensch @ Underscore_&amp;#039;s acast :fr:](https://shows.acast.com/micode-underscore/episodes/s5e6-on-recoit-le-pdg-de-mistral-arthur-mensch).
- [Mistral AI lance son premier LLM : ouvert, mais jusqu’où ? @ Silicon :fr:](https://www.silicon.fr/mistral-ai-llm-471793.html).
- [Comment la communauté s’empare du modèle ouvert de Mistral AI @ Silicon :fr:](https://www.silicon.fr/communaute-modele-ouvert-mistral-ai-473858.html).]]>
            </summary>
            <updated>2025-08-29T05:04:54+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4729</id>
            <title type="text"><![CDATA[Qlik]]></title>
            <link rel="alternate" href="https://www.qlik.com/us/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4729"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Data Integration, Data Quality, &amp;amp; Analytics Solutions.

Qlik, now with Talend, delivers a data fabric for modern data architectures and next-gen analytics powered by Qlik Staige™, a suite of AI and machine learning capabilities.]]>
            </summary>
            <updated>2025-08-29T05:04:55+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4765</id>
            <title type="text"><![CDATA[Background Removal Web]]></title>
            <link rel="alternate" href="https://img.ly/showcases/cesdk/background-removal/web" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4765"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Effortlessly remove background from images directly in the browser with no additional costs and privacy concerns.

- [Background Removal @ GitHub](https://github.com/imgly/background-removal-js)]]>
            </summary>
            <updated>2025-08-29T05:11:02+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4776</id>
            <title type="text"><![CDATA[Giskard]]></title>
            <link rel="alternate" href="https://www.giskard.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4776"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open-source Solution for AI Quality.
The testing framework dedicated to ML models, from tabular to LLMs
Scan AI models to detect risks of biases, performance issues and errors. In 4 lines of code. 

- [Giskard @ GitHub](https://github.com/Giskard-AI/giskard).
- [Introduction to Giskard: Open-Source Quality Management for AI Models @ KDnuggets](https://www.kdnuggets.com/2023/11/giskard-introduction-giskard-opensource-quality-management-ai-models).]]>
            </summary>
            <updated>2025-08-29T05:12:58+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4784</id>
            <title type="text"><![CDATA[MLflow]]></title>
            <link rel="alternate" href="https://www.mlflow.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4784"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A platform for the machine learning lifecycle.

MLflow is a platform to streamline machine learning development, including tracking experiments, packaging code into reproducible runs, and sharing and deploying models. MLflow offers a set of lightweight APIs that can be used with any existing machine learning application or library (TensorFlow, PyTorch, XGBoost, etc), wherever you currently run ML code (e.g. in notebooks, standalone applications or the cloud). MLflow&amp;#039;s current components are:

- [MLflow @ GitHub](https://github.com/mlflow/mlflow/).
- [Setting up a Development Machine with MLFlow and MinIO @ MinIO Blog](https://blog.min.io/setting-up-a-development-machine-with-mlflow-and-minio/).]]>
            </summary>
            <updated>2025-08-29T05:15:00+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4786</id>
            <title type="text"><![CDATA[Doctor Dignity]]></title>
            <link rel="alternate" href="https://github.com/llSourcell/Doctor-Dignity/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4786"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Doctor Dignity is an LLM that can pass the US Medical Licensing Exam. It works offline, it&amp;#039;s cross-platform, &amp;amp; your health data stays private. 

- [Doctor Dignity – L’IA médicale open-source @ Korben :fr:](https://korben.info/doctor-dignity-intelligence-artificielle-medecine-open-source.html).]]>
            </summary>
            <updated>2025-08-29T05:15:01+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4794</id>
            <title type="text"><![CDATA[Pezzo]]></title>
            <link rel="alternate" href="https://pezzo.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4794"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Ship AI features in minutes.
Pezzo enables you to build, test, monitor and instantly ship AI all in one platform, while constantly optimizing for cost and performance.

 🕹️ Open-source, developer-first LLMOps platform designed to streamline prompt design, version management, instant delivery, collaboration, troubleshooting, observability and more. 

- [Pezzo @ GitHub](https://github.com/pezzolabs/pezzo).]]>
            </summary>
            <updated>2025-08-29T05:16:00+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4827</id>
            <title type="text"><![CDATA[Lantern]]></title>
            <link rel="alternate" href="https://lantern.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4827"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The most powerful vector database for building AI applications. Open-source PostgreSQL database extension for vector data and vector search operations.

Lantern is an open-source PostgreSQL database extension to store vector data, generate embeddings, and handle vector search operations.

- [Lantern @ GitHub](https://github.com/lanterndata/lantern).]]>
            </summary>
            <updated>2025-08-29T05:21:04+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4844</id>
            <title type="text"><![CDATA[Otter.ai]]></title>
            <link rel="alternate" href="https://otter.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4844"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Voice Meeting Notes &amp;amp; Real-time Transcription]]>
            </summary>
            <updated>2025-08-29T05:24:06+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4848</id>
            <title type="text"><![CDATA[Zoo]]></title>
            <link rel="alternate" href="https://zoo.replicate.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4848"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A playground for comparing AI image models.

- [Zoo @ GitHub](https://github.com/replicate/zoo).
- [Zoo – Pour jouer avec différents modèles de génération d’images @ Korben (fr)](https://korben.info/zoo-pour-jouer-avec-differents-modeles-de-generation-dimages.html).]]>
            </summary>
            <updated>2025-08-29T05:25:03+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4854</id>
            <title type="text"><![CDATA[roop]]></title>
            <link rel="alternate" href="https://github.com/s0md3v/roop" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4854"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[one-click face swap 

Take a video and replace the face in it with a face of your choice. You only need one image of the desired face. No dataset, no training.

- [Créez des deepfakes faciles avec une simple image ! @ Korben (fr)](https://korben.info/projet-roop-deepfakes-simplifies-ia-visage-remplacement-video.html).]]>
            </summary>
            <updated>2025-08-29T05:27:05+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4873</id>
            <title type="text"><![CDATA[CodeGeeX]]></title>
            <link rel="alternate" href="https://codegeex.cn/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4873"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A Multilingual Code Generation Tool.

We introduce CodeGeeX, a large-scale multilingual code generation model with 13 billion parameters, pre-trained on a large code corpus of more than 20 programming languages. As of June 22, 2022, CodeGeeX has been trained on more than 850 billion tokens on a cluster of 1,536 Ascend 910 AI Processors.

- [CodeGeeX2  @ GitHub](https://github.com/THUDM/CodeGeeX2).
- [CodeGeeX @ GitHub](https://github.com/THUDM/CodeGeeX).]]>
            </summary>
            <updated>2025-08-29T05:29:06+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4922</id>
            <title type="text"><![CDATA[FlowGPT]]></title>
            <link rel="alternate" href="https://flowgpt.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4922"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Best ChatGPT Prompts &amp;amp; AI Prompts Community]]>
            </summary>
            <updated>2025-08-29T05:37:09+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4975</id>
            <title type="text"><![CDATA[txtai]]></title>
            <link rel="alternate" href="https://neuml.github.io/txtai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4975"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[txtai is an all-in-one embeddings database for semantic search, LLM orchestration and language model workflows.

[txtai @ GitHub](https://github.com/neuml/txtai).]]>
            </summary>
            <updated>2025-08-29T05:47:15+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4992</id>
            <title type="text"><![CDATA[promptmap]]></title>
            <link rel="alternate" href="https://github.com/utkusen/promptmap" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4992"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[automatically tests prompt injection attacks on ChatGPT instances.

Prompt injection is a type of security vulnerability that can be exploited to control the behavior of a ChatGPT instance. By injecting malicious prompts into the system, an attacker can force the ChatGPT instance to do unintended actions.]]>
            </summary>
            <updated>2025-08-29T05:49:15+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4993</id>
            <title type="text"><![CDATA[Anse]]></title>
            <link rel="alternate" href="https://anse.app/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4993"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Supercharged experience for ChatGPT, DALL-E and Stable Diffusion. 

[Anse @ GitHub](https://github.com/anse-app/anse).]]>
            </summary>
            <updated>2025-08-29T05:49:17+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5013</id>
            <title type="text"><![CDATA[LIDA]]></title>
            <link rel="alternate" href="https://microsoft.github.io/lida/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5013"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Automatic Generation of Visualizations and Infographics with LLMs.

LIDA is a library for generating data visualizations and data-faithful infographics. LIDA is grammar agnostic (will work with any programming language and visualization libraries e.g. matplotlib, seaborn, altair, d3 etc) and works with multiple large language model providers (OpenAI, PaLM, Cohere, Huggingface). Details on the components of LIDA are described in the paper here and in this tutorial notebook. See the project page here for updates!.

[LIDA @ GitHub](https://github.com/microsoft/lida).]]>
            </summary>
            <updated>2025-08-29T05:52:18+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5021</id>
            <title type="text"><![CDATA[SQLCoder]]></title>
            <link rel="alternate" href="https://github.com/defog-ai/sqlcoder" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5021"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Defog&amp;#039;s SQLCoder is a state-of-the-art LLM for converting natural language questions to SQL queries.]]>
            </summary>
            <updated>2025-08-29T05:53:19+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5038</id>
            <title type="text"><![CDATA[hackernoon/learn]]></title>
            <link rel="alternate" href="https://github.com/hackernoon/learn" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5038"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The HackerNoon Library.

THE LEARN REPO orders technology stories by editor determined subject matter and community determined time reading created. It is an open source lever within the HackerNoon Story Classification System.]]>
            </summary>
            <updated>2025-08-29T05:56:23+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5085</id>
            <title type="text"><![CDATA[Learn Prompting]]></title>
            <link rel="alternate" href="https://learnprompting.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5085"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Your Guide to Communicating with Artificial Intelligence.

Learn how to use ChatGPT and other AI tools to accomplish your goals using our free and open source curriculum, designed for all skill levels!

[Learn Prompting @ GitHub](https://github.com/trigaten/Learn_Prompting).]]>
            </summary>
            <updated>2025-08-29T06:04:24+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5145</id>
            <title type="text"><![CDATA[Pigo]]></title>
            <link rel="alternate" href="https://github.com/esimov/pigo" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5145"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Pigo is a pure Go face detection, pupil/eyes localization and facial landmark points detection library based on the Pixel Intensity Comparison-based Object detection paper.]]>
            </summary>
            <updated>2025-08-29T06:15:31+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5154</id>
            <title type="text"><![CDATA[Skybox AI]]></title>
            <link rel="alternate" href="https://skybox.blockadelabs.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5154"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Skybox AI uses AI to generate full 360 degree panoramic images. 2 available mode tabs below give you full creative control of your skybox.]]>
            </summary>
            <updated>2025-08-29T06:15:35+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5155</id>
            <title type="text"><![CDATA[Ollama]]></title>
            <link rel="alternate" href="https://ollama.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5155"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Get up and running with large language models, locally.
Run Llama 2 and other models on macOS. Customize and create your own.

- [Ollama @ GitHub](https://github.com/jmorganca/ollama).
- [6 outils de FOU pour les DEVS 🤯 @ YoanDev&amp;#039;s YouTube](https://www.youtube.com/watch?v=x0niOhjzkxw).]]>
            </summary>
            <updated>2025-08-29T06:16:30+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5175</id>
            <title type="text"><![CDATA[ibm-nasa-geospatial (IBM NASA Geospatial) @ Huggin Face]]></title>
            <link rel="alternate" href="https://huggingface.co/ibm-nasa-geospatial" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5175"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[NASA and IBM have teamed up to create an AI Foundation Model for Earth Observations, using large-scale satellite and remote sensing data, including the Harmonized Landsat and Sentinel-2 (HLS) data. By embracing the principles of open AI and open science, both organizations are actively contributing to the global mission of promoting knowledge sharing and accelerating innovations in addressing critical environmental challenges. With Hugging Face&amp;#039;s platform, they simplify geospatial model training and deployment, making it accessible for open science users, startups, and enterprises on multi-cloud AI platforms like watsonx. Additionally, Hugging Face enables easy sharing of the pipelines of the model family, which our team calls Prithvi, within the community, fostering global collaboration and engagement.]]>
            </summary>
            <updated>2025-08-29T06:19:37+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5191</id>
            <title type="text"><![CDATA[face_recognition]]></title>
            <link rel="alternate" href="https://github.com/ageitgey/face_recognition" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5191"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The world&amp;#039;s simplest facial recognition api for Python and the command line.

Recognize and manipulate faces from Python or from the command line with the world&amp;#039;s simplest face recognition library.]]>
            </summary>
            <updated>2025-08-29T06:23:34+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5198</id>
            <title type="text"><![CDATA[OpenLLM]]></title>
            <link rel="alternate" href="https://github.com/bentoml/OpenLLM" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5198"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Operating LLMs in production.

An open platform for operating large language models (LLMs) in production.
Fine-tune, serve, deploy, and monitor any LLMs with ease.]]>
            </summary>
            <updated>2025-08-29T06:23:38+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5203</id>
            <title type="text"><![CDATA[Poly: AI Texture Engine]]></title>
            <link rel="alternate" href="https://withpoly.com/browse/textures" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5203"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Search 1000s of free seamless HD PBR textures. Create Textures With Poly.

Generate 3D materials with AI in a free online editor, or search our growing community library.]]>
            </summary>
            <updated>2025-08-29T06:23:42+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5250</id>
            <title type="text"><![CDATA[Clipdrop]]></title>
            <link rel="alternate" href="https://clipdrop.co/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5250"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[AI image edition toolbox]]>
            </summary>
            <updated>2025-08-29T06:31:43+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5263</id>
            <title type="text"><![CDATA[Vectorizer.AI]]></title>
            <link rel="alternate" href="https://vectorizer.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5263"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Trace Pixels To Vectors in Full Color, Fully Automatically, Using AI.

Convert your JPEG and PNG bitmaps to SVG vectors quickly and easily. Fully Automatically. Using AI.]]>
            </summary>
            <updated>2025-08-29T06:35:39+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5280</id>
            <title type="text"><![CDATA[AI Transcriptions by Riverside]]></title>
            <link rel="alternate" href="https://riverside.fm/transcription" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5280"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Accurate AI Transcriptions in Minutes.

Web service proposing to transcribe video and/or audio content using AI]]>
            </summary>
            <updated>2025-08-29T06:36:41+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5287</id>
            <title type="text"><![CDATA[LibreTranslate]]></title>
            <link rel="alternate" href="https://libretranslate.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5287"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Free and Open Source Machine Translation API. Self-hosted, offline capable and easy to setup. 

Unlike other APIs, it doesn&amp;#039;t rely on proprietary providers such as Google or Azure to perform translations. Instead, its translation engine is powered by the open source Argos Translate library.

- [LibreTranslate @ GitHub](https://github.com/LibreTranslate/LibreTranslate)]]>
            </summary>
            <updated>2025-08-29T06:37:42+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5295</id>
            <title type="text"><![CDATA[Yachay AI]]></title>
            <link rel="alternate" href="https://www.yachay.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5295"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[open-source geolocation.

Yachay is an open-source Machine Learning community. We have collected decades worth of useful natural language data from traditional media (i.e. New York Times articles), social media (i.e. Twitter &amp;amp; Reddit), messenger channels, tech blogs, GitHub profiles and issues, the dark web, and legal proceedings, as well as the decisions and publications of government regulators and legislators all across the world.

[Yachay @ GitHub](https://github.com/Yachay-AI/byt5-geotagging).]]>
            </summary>
            <updated>2025-08-29T06:39:46+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5296</id>
            <title type="text"><![CDATA[Kiota]]></title>
            <link rel="alternate" href="https://learn.microsoft.com/fr-fr/openapi/kiota/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5296"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Use Kiota to generate API clients to call any OpenAPI-described API.

Kiota is a command line tool for generating an API client to call any OpenAPI described API you are interested in. The goal is to eliminate the need to take a dependency on a different API SDK for every API that you need to call. Kiota API clients provide a strongly typed experience with all the features you expect from a high quality API SDK, but without having to learn a new library for every HTTP API.

[Kiota @ GitHub](https://github.com/microsoft/kiota).]]>
            </summary>
            <updated>2025-08-29T06:39:47+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5314</id>
            <title type="text"><![CDATA[Segment Anything]]></title>
            <link rel="alternate" href="https://segment-anything.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5314"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Segment Anything Model (SAM): a new AI model from Meta AI that can &amp;quot;cut out&amp;quot; any object, in any image, with a single click.

SAM is a promptable segmentation system with zero-shot generalization to unfamiliar objects and images, without the need for additional training.

[Segment Anything @ GitHub](https://github.com/facebookresearch/segment-anything)]]>
            </summary>
            <updated>2025-08-29T06:43:45+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5387</id>
            <title type="text"><![CDATA[Milvus]]></title>
            <link rel="alternate" href="https://milvus.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5387"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Milvus is an open-source vector database built to power embedding similarity search and AI applications. Milvus makes unstructured data search more accessible, and provides a consistent user experience regardless of the deployment environment.

- [Milvus @ GitHub](https://github.com/milvus-io/milvus).

Related contents:

- [RAG Against The Machine @ Quoi de neuf les devs ? :fr:](https://happytodev.substack.com/p/quoi-de-neuf-les-devs-153-veille?open=false#%C2%A7rag-against-the-machine).]]>
            </summary>
            <updated>2025-10-29T13:14:35+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5396</id>
            <title type="text"><![CDATA[ddmm]]></title>
            <link rel="alternate" href="https://ddmm.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5396"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Search images from all sources at once with generative AI]]>
            </summary>
            <updated>2025-08-29T06:56:06+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5502</id>
            <title type="text"><![CDATA[StableLM:]]></title>
            <link rel="alternate" href="https://github.com/stability-AI/stableLM/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5502"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Stability AI Language Models.

This repository contains Stability AI&amp;#039;s ongoing development of the StableLM series of language models and will be continuously updated with new checkpoints. The following provides an overview of all currently available models. More coming soon.]]>
            </summary>
            <updated>2025-08-29T07:14:00+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5526</id>
            <title type="text"><![CDATA[AI Dungeon]]></title>
            <link rel="alternate" href="https://play.aidungeon.io/main/home" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5526"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Play and create AI-generated adventures with infinite possibilities. Not sure where to start?]]>
            </summary>
            <updated>2025-08-29T07:18:01+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5558</id>
            <title type="text"><![CDATA[k8sgpt]]></title>
            <link rel="alternate" href="https://github.com/k8sgpt-ai" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5558"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[K8sGPT is a tool for scanning your kubernetes clusters, diagnosing and triaging issues in simple english. It has SRE experience codified into it’s analyzers and helps to pull out the most relevant information to enrich it with AI.]]>
            </summary>
            <updated>2025-08-29T07:24:06+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5591</id>
            <title type="text"><![CDATA[Matchering]]></title>
            <link rel="alternate" href="https://github.com/sergree/matchering" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5591"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[🎚️ Open Source Audio Matching and Mastering. Matchering 2.0 is a novel Containerized Web Application and Python Library for audio matching and mastering.

It follows a simple idea - you take TWO audio files and feed them into Matchering. Our algorithm matches both of these tracks and provides you the mastered TARGET track with the same RMS, FR, peak amplitude and stereo width as the REFERENCE track has.]]>
            </summary>
            <updated>2025-08-29T07:29:07+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5606</id>
            <title type="text"><![CDATA[Jema.ai]]></title>
            <link rel="alternate" href="https://jema.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5606"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A Jasper alternative open source with ChatGPT.

This project uses ChatGPT API to create almost any text based output for your need - from marketing content to blog post ideas and a lot more. It uses simple template based components to ask ChatGPT for generating results Creating new templates or tasks take about 30 mins. no more, so you can extend it for your needs or wait for new template release :)

[Jema.ai @ GitHub](https://github.com/yuvalsuede/jasper-alternative-gpt)]]>
            </summary>
            <updated>2025-08-29T07:32:11+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5608</id>
            <title type="text"><![CDATA[AIcyclopedia]]></title>
            <link rel="alternate" href="https://www.aicyclopedia.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5608"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The free AI encyclopedia.
AI tools, podcasts, prompts, newsletter, and movies.]]>
            </summary>
            <updated>2025-08-29T07:32:13+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5616</id>
            <title type="text"><![CDATA[Stable Diffusion web UI]]></title>
            <link rel="alternate" href="https://github.com/AUTOMATIC1111/stable-diffusion-webui" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5616"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A browser interface based on Gradio library for Stable Diffusion.]]>
            </summary>
            <updated>2025-08-29T07:33:09+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5635</id>
            <title type="text"><![CDATA[OpenChatKit]]></title>
            <link rel="alternate" href="https://github.com/togethercomputer/OpenChatKit" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5635"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[OpenChatKit provides a powerful, open-source base to create both specialized and general purpose chatbots for various applications. The kit includes an instruction-tuned 20 billion parameter language model, a 6 billion parameter moderation model, and an extensible retrieval system for including up-to-date responses from custom repositories. It was trained on the OIG-43M training dataset, which was a collaboration between Together, LAION, and Ontocord.ai. Much more than a model release, this is the beginning of an open source project. We are releasing a set of tools and processes for ongoing improvement with community contributions.]]>
            </summary>
            <updated>2025-08-29T07:36:16+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5647</id>
            <title type="text"><![CDATA[writeout.ai – Transcribe and translate any audio file]]></title>
            <link rel="alternate" href="https://writeout.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5647"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Transcribe and translate any audio file.

Free, fast and accurate transcription of audio files. 100% free to use. 

[writeout.ai @ GitHub](https://github.com/beyondcode/writeout.ai)]]>
            </summary>
            <updated>2025-08-29T07:38:12+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5668</id>
            <title type="text"><![CDATA[Enhance Speech from Adobe]]></title>
            <link rel="alternate" href="https://podcast.adobe.com/enhance" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5668"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Free AI filter for cleaning up spoken audio. Enhance voice recordings for free.

Speech enhancement makes voice recordings sound as if they were recorded in a professional studio.]]>
            </summary>
            <updated>2025-08-29T07:41:16+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5693</id>
            <title type="text"><![CDATA[DalleCli]]></title>
            <link rel="alternate" href="https://dallecli.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5693"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Generate, Edit &amp;amp; Filter images using the DALL-E 2 API

`dallecli` is a command line app designed to provide users with the ability to generate, edit and filter images using the DALL-E 2 API provided by OpenAI.

[DalleCLI @ GitHub](https://github.com/raiyanyahya/dallecli).]]>
            </summary>
            <updated>2025-08-29T07:46:16+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5696</id>
            <title type="text"><![CDATA[Quick Reads]]></title>
            <link rel="alternate" href="https://quickreads.app/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5696"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Read less, understand more.
Unleash the power of quick and easy reading - just paste your URL for an instant summary!]]>
            </summary>
            <updated>2025-08-29T07:46:19+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5697</id>
            <title type="text"><![CDATA[Jotte]]></title>
            <link rel="alternate" href="https://jotte.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5697"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Welcome to Jotte, an AI-powered graph-based writing tool that helps you create high-quality, informative content with ease. Jotte uses nodes and varying specificities of summaries to carry relevant information through an extremely long set of text, making it an ideal tool for creating long-form content.]]>
            </summary>
            <updated>2025-08-29T07:46:19+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5722</id>
            <title type="text"><![CDATA[Scribble Diffusion]]></title>
            <link rel="alternate" href="https://scribblediffusion.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5722"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Turn your sketch into a refined image using AI.

[Scribble Diffusion @ GitHub](https://github.com/replicate/scribble-diffusion).]]>
            </summary>
            <updated>2025-08-29T07:50:20+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5735</id>
            <title type="text"><![CDATA[Coqui STT]]></title>
            <link rel="alternate" href="https://coqui.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5735"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Coqui STT (frogSTT) is a fast, open-source, multi-platform, deep-learning toolkit for training and deploying speech-to-text models. frogSTT is battle tested in both production and research rocket

[Coqui STT @ GitHub](https://github.com/coqui-ai/STT).]]>
            </summary>
            <updated>2025-08-29T07:52:26+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5858</id>
            <title type="text"><![CDATA[aitools.fyi]]></title>
            <link rel="alternate" href="https://aitools.fyi/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5858"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Find Amazing AI Tools That Make Your Life Easy!]]>
            </summary>
            <updated>2025-08-29T08:13:31+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5862</id>
            <title type="text"><![CDATA[PhotoPrism]]></title>
            <link rel="alternate" href="https://www.photoprism.app/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5862"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[PhotoPrism® is an AI-Powered Photos App for the Decentralized Web.

It makes use of the latest technologies to tag and find pictures automatically without getting in your way. You can run it at home, on a private server, or in the cloud. 

[PhotoPrism @ GitHub](https://github.com/photoprism/photoprism)]]>
            </summary>
            <updated>2025-08-29T08:14:30+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5895</id>
            <title type="text"><![CDATA[Mycroft]]></title>
            <link rel="alternate" href="https://mycroft.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5895"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The Open Source Privacy-Focused Voice Assistant.

Mycroft is the world’s leading open source voice assistant. It is private by default and completely customizable.

[Mycroft @ GitHub](https://github.com/MycroftAI).]]>
            </summary>
            <updated>2025-08-29T08:20:35+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5897</id>
            <title type="text"><![CDATA[fastai]]></title>
            <link rel="alternate" href="https://github.com/fastai/fastai" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5897"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[fastai is a deep learning library which provides practitioners with high-level components that can quickly and easily provide state-of-the-art results in standard deep learning domains, and provides researchers with low-level components that can be mixed and matched to build new approaches. It aims to do both things without substantial compromises in ease of use, flexibility, or performance. This is possible thanks to a carefully layered architecture, which expresses common underlying patterns of many deep learning and data processing techniques in terms of decoupled abstractions. These abstractions can be expressed concisely and clearly by leveraging the dynamism of the underlying Python language and the flexibility of the PyTorch library. fastai includes:]]>
            </summary>
            <updated>2025-08-29T08:20:36+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5910</id>
            <title type="text"><![CDATA[Qdrant - Vector Search Engine]]></title>
            <link rel="alternate" href="https://qdrant.tech/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5910"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Qdrant (read: quadrant ) is a vector similarity search engine and vector database. It provides a production-ready service with a convenient API to store, search, and manage points - vectors with an additional payload. Qdrant is tailored to extended filtering support. It makes it useful for all sorts of neural-network or semantic-based matching, faceted search, and other applications.

- [Qdrant @ GitHub](https://github.com/qdrant/qdrant).

Related contents:

- [270 - DB Vectorielle - Noé Achache @ &amp;lt;ifttd&amp;gt; :fr:](https://www.ifttd.io/episodes/db-vectorielle).
- [Episode 641: Qdrant&amp;#039;s Brian O&amp;#039;Grady @ Coder Radio](https://coder.show/641).]]>
            </summary>
            <updated>2026-03-12T19:36:11+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5932</id>
            <title type="text"><![CDATA[Octopii]]></title>
            <link rel="alternate" href="https://github.com/redhuntlabs/octopii" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5932"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[An AI-powered Personal Identifiable Information (PII) scanner..
Octopii is an open-source AI-powered Personal Identifiable Information (PII) scanner that can look for image assets such as Government IDs, passports, photos and signatures in a directory.]]>
            </summary>
            <updated>2025-08-29T08:25:37+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5982</id>
            <title type="text"><![CDATA[There&amp;#039;s An AI For That | AI Database]]></title>
            <link rel="alternate" href="https://theresanaiforthat.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5982"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[AI use cases search engine.]]>
            </summary>
            <updated>2025-08-29T08:33:41+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6080</id>
            <title type="text"><![CDATA[Lorem Faces]]></title>
            <link rel="alternate" href="https://loremfaces.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6080"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Free UI faces for designers, avatars, dummy faces, AI generated people faces.
UI faces for your web projects and designs AI generated people faces you can use in your works for free]]>
            </summary>
            <updated>2025-08-29T08:50:47+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6100</id>
            <title type="text"><![CDATA[Amberscript]]></title>
            <link rel="alternate" href="https://www.amberscript.com/en/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6100"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Audio &amp;amp; Video Transcription | Speech-to-text.
Smarter subtitling and transcription.
We combine artificial and human intelligence to bring you accurate and fast transcripts, captions, and translated subtitles with ease.]]>
            </summary>
            <updated>2025-08-29T08:53:51+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6141</id>
            <title type="text"><![CDATA[Photopea]]></title>
            <link rel="alternate" href="https://www.photopea.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6141"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Online Photo Editor
Photopea.com is a free online tool for editing raster and vector graphics with support for PSD, AI, and Sketch files.]]>
            </summary>
            <updated>2025-08-29T09:00:58+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6198</id>
            <title type="text"><![CDATA[Gauss]]></title>
            <link rel="alternate" href="https://github.com/justjake/Gauss" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6198"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A Stable Diffusion app for macOS built with SwiftUI and Apple&amp;#039;s ml-stable-diffusion CoreML models.]]>
            </summary>
            <updated>2025-08-29T09:10:02+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6207</id>
            <title type="text"><![CDATA[AI For Beginners]]></title>
            <link rel="alternate" href="https://github.com/microsoft/ai-for-beginners" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6207"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Azure Cloud Advocates at Microsoft are pleased to offer a 12-week, 24-lesson curriculum all about Artificial Intelligence.]]>
            </summary>
            <updated>2025-08-29T09:13:01+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6254</id>
            <title type="text"><![CDATA[Zed]]></title>
            <link rel="alternate" href="https://zed.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6254"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Meet Zed – The fast, collaborative code editor.

Zed is a high-performance, multiplayer code editor from the creators of Atom and Tree-sitter. It&amp;#039;s also open source.

- [Zed @ GitHub](https://github.com/zed-industries/zed).

Related contents:

- [I switched from VSCode to Zed @ Ten thousand meters](https://tenthousandmeters.com/blog/i-switched-from-vscode-to-zed/).
- [Configurer votre éditeur Zed sur le bout des doigts @ Le blog de Seboss666 :fr:](https://blog.seboss666.info/2026/04/configurer-votre-editeur-zed-sur-le-bout-des-doigts/).]]>
            </summary>
            <updated>2026-04-28T06:18:44+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6262</id>
            <title type="text"><![CDATA[chaiNNer]]></title>
            <link rel="alternate" href="https://chainner.app/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6262"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A node-based image processing and AI upscaling GUI that makes it easy to chain together complex processing tasks.
A flowchart/node-based image processing GUI aimed at making chaining image processing tasks (especially upscaling done by neural networks) easy, intuitive, and customizable.
No existing upscaling GUI gives you the level of customization of your image processing workflow that chaiNNer does. Not only do you have full control over your processing pipeline, you can do incredibly complex tasks just by connecting a few nodes together.

- [chaiNNer @ GitHub](https://github.com/chaiNNer-org/chaiNNer).]]>
            </summary>
            <updated>2025-08-29T09:21:07+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6277</id>
            <title type="text"><![CDATA[Ansible Ai]]></title>
            <link rel="alternate" href="https://ansible.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6277"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[AI for Ansible Content Development.
Easily Generate, Customize, &amp;amp; Use!
Save time and get unstuck. Tell ansible.ai what you’re thinking to automate in your IT infrastructure and it will generate syntactically correct playbook to help you get there.]]>
            </summary>
            <updated>2025-08-29T09:23:07+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6289</id>
            <title type="text"><![CDATA[Basic Pitch]]></title>
            <link rel="alternate" href="https://basicpitch.spotify.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6289"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Basic Pitch, a free audio-to-MIDI converter with pitch bend detection, built by Spotify.
Basic Pitch is a Python library for Automatic Music Transcription (AMT), using lightweight neural network developed by Spotify&amp;#039;s Audio Intelligence Lab.

[Basic Pitch @ GitHub](https://github.com/spotify/basic-pitch)]]>
            </summary>
            <updated>2025-08-29T09:25:11+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6426</id>
            <title type="text"><![CDATA[UFT One]]></title>
            <link rel="alternate" href="https://www.microfocus.com/en-us/products/uft-one/overview" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6426"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Automate Functional Testing from UI to the API.
Our AI-powered functional testing tool accelerates test automation. It works across desktop, web, mobile, mainframe, composite, and packaged enterprise-grade applications.]]>
            </summary>
            <updated>2025-08-29T09:49:32+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6507</id>
            <title type="text"><![CDATA[This X Does Not Exist]]></title>
            <link rel="alternate" href="https://thisxdoesnotexist.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6507"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Using generative adversarial networks (GAN), we can learn how to create realistic-looking fake versions of almost anything, as shown by this collection of sites that have sprung up in the past month.]]>
            </summary>
            <updated>2025-08-29T10:01:34+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6511</id>
            <title type="text"><![CDATA[Cleanup.pictures]]></title>
            <link rel="alternate" href="https://cleanup.pictures/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6511"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Remove objects, people, text and defects from any picture for free]]>
            </summary>
            <updated>2025-08-29T10:02:28+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6533</id>
            <title type="text"><![CDATA[MLflow]]></title>
            <link rel="alternate" href="https://mlflow.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6533"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[An open source platform for the machine learning lifecycle.

MLflow is a platform to streamline machine learning development, including tracking experiments, packaging code into reproducible runs, and sharing and deploying models. MLflow offers a set of lightweight APIs that can be used with any existing machine learning application or library (TensorFlow, PyTorch, XGBoost, etc), wherever you currently run ML code (e.g. in notebooks, standalone applications or the cloud).

- [MLflow @ GitHub](https://github.com/mlflow/mlflow).]]>
            </summary>
            <updated>2025-08-29T10:05:36+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6541</id>
            <title type="text"><![CDATA[ClipDrop - Relight]]></title>
            <link rel="alternate" href="https://clipdrop.co/relight" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6541"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Relight your photos &amp;amp; drawings in seconds]]>
            </summary>
            <updated>2025-08-29T10:07:31+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6542</id>
            <title type="text"><![CDATA[PromptHero]]></title>
            <link rel="alternate" href="https://prompthero.com/?ref=CtrlAltCC" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6542"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Search prompts for Stable Diffusion, DALL-E &amp;amp; Midjourney.
Search millions of art images by AI models like DALL-E, Stable Diffusion, Midjourney...]]>
            </summary>
            <updated>2025-08-29T10:07:33+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6565</id>
            <title type="text"><![CDATA[Runway]]></title>
            <link rel="alternate" href="https://runwayml.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6565"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Next-generation creation suite.
Everything you need to make content, fast.
Magical AI tools, realtime collaboration, precision editing, and more. Your next-generation content creation suite.]]>
            </summary>
            <updated>2025-08-29T10:11:32+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6600</id>
            <title type="text"><![CDATA[Open-Capture]]></title>
            <link rel="alternate" href="https://github.com/edissyum/opencapture" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6600"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open-Capture is the one and only 100% Open Source intelligent capture managment.]]>
            </summary>
            <updated>2025-08-29T10:17:39+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6610</id>
            <title type="text"><![CDATA[Gnod - The Global Network Of Discovery]]></title>
            <link rel="alternate" href="https://www.gnod.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6610"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[An AI recommendation engine to discover new music, movies, art and more.]]>
            </summary>
            <updated>2025-08-29T10:18:38+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6627</id>
            <title type="text"><![CDATA[FauxPilot]]></title>
            <link rel="alternate" href="https://github.com/moyix/fauxpilot" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6627"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[an open-source GitHub Copilot server.
This is an attempt to build a locally hosted version of GitHub Copilot. It uses the SalesForce CodeGen models inside of NVIDIA&amp;#039;s Triton Inference Server with the FasterTransformer backend.]]>
            </summary>
            <updated>2025-08-29T10:21:43+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6628</id>
            <title type="text"><![CDATA[YOLOv7]]></title>
            <link rel="alternate" href="https://github.com/WongKinYiu/yolov7" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6628"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors.]]>
            </summary>
            <updated>2025-08-29T10:21:44+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6629</id>
            <title type="text"><![CDATA[DeepFaceLab]]></title>
            <link rel="alternate" href="https://github.com/iperov/DeepFaceLab" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6629"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[DeepFaceLab is the leading software for creating deepfakes.]]>
            </summary>
            <updated>2025-08-29T10:21:45+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6630</id>
            <title type="text"><![CDATA[PaddleNLP]]></title>
            <link rel="alternate" href="https://github.com/PaddlePaddle/PaddleNLP" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6630"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[PaddleNLP is an easy-to-use and powerful natural language processing development library. Aggregates high-quality pre-trained models in the industry and provides an out -of-the-box development experience. The model library covering multiple scenarios of NLP and industrial practice examples can meet the needs of developers for flexible customization .]]>
            </summary>
            <updated>2025-08-29T10:22:39+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6631</id>
            <title type="text"><![CDATA[MindsDB]]></title>
            <link rel="alternate" href="https://github.com/mindsdb/mindsdb" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6631"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[In-Database Machine Learning.
MindsDB ML-SQL Server enables machine learning workflows for the most powerful databases and data warehouses using SQL.]]>
            </summary>
            <updated>2025-08-29T10:22:40+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6633</id>
            <title type="text"><![CDATA[DeepPavlov]]></title>
            <link rel="alternate" href="https://deeppavlov.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6633"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[An open source conversational AI framework.
DeepPavlov makes it easy for beginners and experts to create dialogue systems.

- [DeepPavlov @ GitHub](https://github.com/deeppavlov/DeepPavlov).
- [DeepPavlov Agent @ GitHub](https://github.com/deeppavlov/dp-agent).

Related contents:

- [DeepPavlov Agent: Open-source Framework for Multiskill Conversational AI - ML Conf EU 2020 @ GitNation](https://gitnation.com/contents/deeppavlov-agent-open-source-framework-for-multiskill-conversational-ai).]]>
            </summary>
            <updated>2025-08-29T10:22:41+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6634</id>
            <title type="text"><![CDATA[OpenCV]]></title>
            <link rel="alternate" href="https://opencv.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6634"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open Computer Vision. Open source machine learning library for computer vision.

- [OpenCV @ GitHub](https://github.com/opencv/opencv).
- [OpenCV on Wheels @ GitHub](https://github.com/opencv/opencv-python).

Related contents:

- [OpenCV Course - Full Tutorial with Python @ freeCodeCamp.org&amp;#039;s YouTube](https://www.youtube.com/watch?v=oXlwWbU8l2o).]]>
            </summary>
            <updated>2025-08-29T10:22:41+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6637</id>
            <title type="text"><![CDATA[Bumble&amp;#039;s Private Detector]]></title>
            <link rel="alternate" href="https://github.com/bumble-tech/private-detector" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6637"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[a pretrained model for detecting lewd images.
This is the repo for Bumble&amp;#039;s Private Detector™ model - an image classifier that can detect lewd images.

The internal repo has been heavily refactored and released as a fully open-source project to allow for the wider community to use and finetune a Private Detector model of their own. You can download the pretrained SavedModel and checkpoint here]]>
            </summary>
            <updated>2025-08-29T10:23:40+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6649</id>
            <title type="text"><![CDATA[Palette - Colorize Photos]]></title>
            <link rel="alternate" href="https://palette.fm/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6649"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Colorize Black&amp;amp;White Pictures with machine learning.
Automatic, no sign-up, and Free!]]>
            </summary>
            <updated>2025-08-29T10:25:43+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6652</id>
            <title type="text"><![CDATA[Neo4j]]></title>
            <link rel="alternate" href="https://neo4j.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6652"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Graph Database Management System.
Neo4j Graph Data Platform. Blazing-Fast Graph, Petabyte Scale.
With proven trillion+ entity performance, developers, data scientists, and enterprises rely on Neo4j as the top choice for high-performance, scalable analytics, intelligent app development, and advanced AI/ML pipelines.

- [Neo4j @ GitHub](https://github.com/neo4j/neo4j).
 
Related contents:

- [Episode #18: NoSQL Smackdown! @ Changelog Interviews](https://changelog.com/podcast/18).]]>
            </summary>
            <updated>2025-12-09T09:25:32+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6715</id>
            <title type="text"><![CDATA[AI Background Generator]]></title>
            <link rel="alternate" href="https://www.photoroom.com/backgrounds/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6715"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Describe the image you want, and it will magically generate an infinite number of unique backgrounds using stable diffusion that match your exact request]]>
            </summary>
            <updated>2025-08-29T10:37:48+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6748</id>
            <title type="text"><![CDATA[Vowpal Wabbit]]></title>
            <link rel="alternate" href="https://vowpalwabbit.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6748"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Vowpal Wabbit provides fast, efficient, and flexible online machine learning techniques for reinforcement learning, supervised learning, and more. It is influenced by an ecosystem of community contributions, academic research, and proven algorithms. Microsoft Research is a major contributor to Vowpal Wabbit.]]>
            </summary>
            <updated>2025-08-29T10:41:53+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6754</id>
            <title type="text"><![CDATA[Datafari Enterprise Search]]></title>
            <link rel="alternate" href="https://www.datafari.com/en/index.html" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6754"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Datafari Enterprise Search finds your data wherever they are, whatever they are. Available as Open source, Datafari comes with many connectors, a big data architecture, advanced use of Articifial Intelligence and Machine Learning to optimise Relevancy.]]>
            </summary>
            <updated>2025-08-29T10:42:51+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6759</id>
            <title type="text"><![CDATA[Upscayl]]></title>
            <link rel="alternate" href="https://upscayl.github.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6759"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Free and Open Source AI Image Upscaler for Linux, MacOS and Windows built with Linux-First philosophy.

[Upscayl @ GitHub](https://github.com/upscayl/upscayl).]]>
            </summary>
            <updated>2025-08-29T10:43:50+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6770</id>
            <title type="text"><![CDATA[Kubeflow]]></title>
            <link rel="alternate" href="https://www.kubeflow.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6770"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The Machine Learning Toolkit for Kubernetes
The Kubeflow project is dedicated to making deployments of machine learning (ML) workflows on Kubernetes simple, portable and scalable. Our goal is not to recreate other services, but to provide a straightforward way to deploy best-of-breed open-source systems for ML to diverse infrastructures. Anywhere you are running Kubernetes, you should be able to run Kubeflow.]]>
            </summary>
            <updated>2025-08-29T10:45:54+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6782</id>
            <title type="text"><![CDATA[Scraft]]></title>
            <link rel="alternate" href="https://www.scraft.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6782"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[AI-powered writing tool that helps you organize ideas and craft better arguments by asking mind-stimulating questions like Socrates]]>
            </summary>
            <updated>2025-08-29T10:47:52+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6783</id>
            <title type="text"><![CDATA[Practical Deep Learning for Coders]]></title>
            <link rel="alternate" href="https://course.fast.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6783"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A free course designed for people with some coding experience, who want to learn how to apply deep learning and machine learning to practical problems.]]>
            </summary>
            <updated>2025-08-29T10:47:52+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6803</id>
            <title type="text"><![CDATA[Whisper]]></title>
            <link rel="alternate" href="https://github.com/openai/whisper" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6803"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Whisper is a general-purpose speech recognition model. It is trained on a large dataset of diverse audio and is also a multi-task model that can perform multilingual speech recognition as well as speech translation and language identification.]]>
            </summary>
            <updated>2025-08-29T10:50:56+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6821</id>
            <title type="text"><![CDATA[Open Neural Network Exchange]]></title>
            <link rel="alternate" href="https://onnx.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6821"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[ONNX is an open format built to represent machine learning models. ONNX defines a common set of operators - the building blocks of machine learning and deep learning models - and a common file format to enable AI developers to use models with a variety of frameworks, tools, runtimes, and compilers.]]>
            </summary>
            <updated>2025-08-29T10:54:02+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6911</id>
            <title type="text"><![CDATA[✍️ Mintlify Writer]]></title>
            <link rel="alternate" href="https://github.com/mintlify/writer" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6911"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[AI powered documentation writer.

Writing documentation sucks. Let Mintlify take care of it. Just hightlight code and see the magic.]]>
            </summary>
            <updated>2025-08-29T11:10:05+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6958</id>
            <title type="text"><![CDATA[Photo restoration with GFP-GAN]]></title>
            <link rel="alternate" href="https://app.baseten.co/apps/QPp4nPE/operator_views/RqgOnqV" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6958"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Restore old photos using our photo restoration application, built with Baseten and powered by the GFP-GAN model.]]>
            </summary>
            <updated>2025-08-29T11:18:09+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6959</id>
            <title type="text"><![CDATA[GFPGAN]]></title>
            <link rel="alternate" href="https://github.com/TencentARC/GFPGAN" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6959"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[GFPGAN aims at developing a Practical Algorithm for Real-world Face Restoration.
It leverages rich and diverse priors encapsulated in a pretrained face GAN (e.g., StyleGAN2) for blind face restoration.]]>
            </summary>
            <updated>2025-08-29T11:18:09+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6973</id>
            <title type="text"><![CDATA[DALL·E 2]]></title>
            <link rel="alternate" href="https://openai.com/dall-e-2/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6973"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[DALL·E 2 is a new AI system that can create realistic images and art from a description in natural language.]]>
            </summary>
            <updated>2025-08-29T11:19:09+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6974</id>
            <title type="text"><![CDATA[Craiyon, formerly DALL-E mini]]></title>
            <link rel="alternate" href="https://www.craiyon.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6974"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[AI model drawing images from any prompt!]]>
            </summary>
            <updated>2025-08-29T11:19:10+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7001</id>
            <title type="text"><![CDATA[AI PNG Enlarger]]></title>
            <link rel="alternate" href="https://bggenerator.com/pngenlarger.html" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7001"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Enlarge PNG and JPG Images without Losing Quality.
Enlarge PNG Images Up to 4X or 16X and Preserve Transparency without Losing Quality.]]>
            </summary>
            <updated>2025-08-29T11:24:11+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7098</id>
            <title type="text"><![CDATA[Planet]]></title>
            <link rel="alternate" href="https://www.planet.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7098"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Daily Earth Data to See Change and Make Better Decisions.
Planet provides daily satellite data that helps businesses, governments, researchers, and journalists understand the physical world and take action.]]>
            </summary>
            <updated>2025-08-29T11:40:20+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7102</id>
            <title type="text"><![CDATA[Climate TRACE]]></title>
            <link rel="alternate" href="https://www.climatetrace.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7102"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Climate TRACE was built to collect and share greenhouse gas emissions from anthropogenic (human) activities to facilitate climate action .]]>
            </summary>
            <updated>2025-08-29T11:42:21+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7141</id>
            <title type="text"><![CDATA[Sieve]]></title>
            <link rel="alternate" href="https://sievedata.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7141"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Transform raw video into high quality datasets in minutes.
Find the most important images within petabytes of raw video, in just a few lines of code.]]>
            </summary>
            <updated>2025-08-29T11:47:24+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7179</id>
            <title type="text"><![CDATA[GitHub Copilot · Your AI pair programmer]]></title>
            <link rel="alternate" href="https://copilot.github.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7179"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[With GitHub Copilot, get suggestions for whole lines or entire functions right inside your editor.]]>
            </summary>
            <updated>2025-08-29T11:54:31+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7227</id>
            <title type="text"><![CDATA[Brain.js]]></title>
            <link rel="alternate" href="https://brain.js.org/#/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7227"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[GPU accelerated Neural networks in JavaScript for Browsers and Node.js 

- [Brain.js @ GitHub](https://github.com/BrainJS/brain.js).]]>
            </summary>
            <updated>2025-08-29T12:02:33+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7228</id>
            <title type="text"><![CDATA[TensorFlow.js | Machine Learning for JavaScript Developers]]></title>
            <link rel="alternate" href="https://www.tensorflow.org/js" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7228"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Develop ML models in JavaScript, and use ML directly in the browser or in Node.js.]]>
            </summary>
            <updated>2025-08-29T12:02:34+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7229</id>
            <title type="text"><![CDATA[mind.js]]></title>
            <link rel="alternate" href="https://github.com/stevenmiller888/mind" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7229"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A flexible neural network library for Node.js and the browser]]>
            </summary>
            <updated>2025-08-29T12:02:34+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7230</id>
            <title type="text"><![CDATA[neuro.js]]></title>
            <link rel="alternate" href="https://neuro.js.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7230"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Neuro.js is machine learning framework for building AI assistants and chat-bots.]]>
            </summary>
            <updated>2025-08-29T12:02:35+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7231</id>
            <title type="text"><![CDATA[ConvNetJS: Deep Learning in your browser]]></title>
            <link rel="alternate" href="https://cs.stanford.edu/people/karpathy/convnetjs/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7231"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[ConvNetJS is a Javascript library for training Deep Learning models (Neural Networks) entirely in your browser. Open a tab and you&amp;#039;re training. No software requirements, no compilers, no installations, no GPUs, no sweat.]]>
            </summary>
            <updated>2025-08-29T12:02:36+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7232</id>
            <title type="text"><![CDATA[ml5js·Friendly Machine Learning For The Web]]></title>
            <link rel="alternate" href="https://ml5js.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7232"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[ml5.js aims to make machine learning approachable for a broad audience of artists, creative coders, and students. The library provides access to machine learning algorithms and models in the browser, building on top of TensorFlow.js with no other external dependencies.]]>
            </summary>
            <updated>2025-08-29T12:02:37+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7233</id>
            <title type="text"><![CDATA[TensorFlow]]></title>
            <link rel="alternate" href="https://www.tensorflow.org/?hl=en" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7233"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications.]]>
            </summary>
            <updated>2025-08-29T12:02:37+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7247</id>
            <title type="text"><![CDATA[Kaggle]]></title>
            <link rel="alternate" href="https://www.kaggle.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7247"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Your Machine Learning and Data Science Community.

Inside Kaggle you’ll find all the code &amp;amp; data you need to do your data science work. Use over 50,000 public datasets and 400,000 public notebooks to conquer any analysis in no time.]]>
            </summary>
            <updated>2025-08-29T12:06:32+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7272</id>
            <title type="text"><![CDATA[Lobe]]></title>
            <link rel="alternate" href="https://lobe.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7272"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Deep Learning Made Simple.
Teach your app to see emotions.
Build, train, and ship custom deep learning models using a simple visual interface.]]>
            </summary>
            <updated>2025-08-29T12:10:36+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7287</id>
            <title type="text"><![CDATA[AI School]]></title>
            <link rel="alternate" href="https://aischool.microsoft.com/learning-paths" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7287"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Microsoft courses on AI development.]]>
            </summary>
            <updated>2025-08-29T12:11:39+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7393</id>
            <title type="text"><![CDATA[OpenAI]]></title>
            <link rel="alternate" href="https://openai.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7393"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Discovering and enacting the path to safe artificial general intelligence.]]>
            </summary>
            <updated>2025-08-29T12:30:49+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7431</id>
            <title type="text"><![CDATA[Mycroft]]></title>
            <link rel="alternate" href="https://docs.mycroft.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7431"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Mycroft Core is the primary module that makes up the Mycroft Artificial Intelligence platform. Mycroft makes use of the Adapt Intent Parser, Speech-to-Text software, and Text-to-Speech. The idea behind the platform is to be able to voice enable any device and turn it into a smart personal assistant, able to perform a variety of tasks. Mycroft is often used to refer to the hardware product produced by Mycroft AI, Inc. - so to avoid confusion, the software stack is often referred to as &amp;amp;quot;Mycroft Core&amp;amp;quot;.]]>
            </summary>
            <updated>2025-08-29T12:35:52+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7446</id>
            <title type="text"><![CDATA[openpilot]]></title>
            <link rel="alternate" href="https://comma.ai/openpilot" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7446"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[openpilot is an open source driving agent.

openpilot is an operating system for robotics. Currently, it upgrades the driver assistance system on 275+ supported cars. 

- [openpilot @ GitHub](https://github.com/commaai/openpilot).

Related contents:

- [Les constructeurs européens sont en train de rater le train de la conduite autonome et ça fait chier @ Korben :fr:](https://korben.info/xiaomi-mise-millions-clips-battre-tesla.html).
- [Tomb Raider - La nouvelle arme de Comma pour dominer la conduite autonome @ Korben :fr:](https://korben.info/openpilot-010-tomb-raider.html).
- [Comma 4 + openpilot 0.11 - La conduite assistée open source passe un cap @ Korben :fr:](https://korben.info/comma-ai-openpilot-v011-comma-4.html).]]>
            </summary>
            <updated>2026-03-23T16:11:41+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7550</id>
            <title type="text"><![CDATA[Firedrop]]></title>
            <link rel="alternate" href="https://firedrop.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7550"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Firedrop uses artificial intelligence to automatically create uniquely designed websites in less than 60 seconds.
No templates, just bespoke design based on your content.]]>
            </summary>
            <updated>2025-08-29T12:56:01+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7592</id>
            <title type="text"><![CDATA[OpenCog]]></title>
            <link rel="alternate" href="http://wiki.opencog.org/w/The_Open_Cognition_Project" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7592"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[OpenCog is a unique and ambitious open-source software project. Our aim is to create an open source framework for Artificial General Intelligence, intended to one day express general intelligence at the human level and beyond.]]>
            </summary>
            <updated>2025-08-29T13:03:10+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7606</id>
            <title type="text"><![CDATA[Project Malmo]]></title>
            <link rel="alternate" href="https://github.com/Microsoft/malmo" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7606"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Project Malmo is a platform for Artificial Intelligence experimentation and research built on top of Minecraft. We aim to inspire a new generation of research into challenging new problems presented by this unique environment.]]>
            </summary>
            <updated>2025-08-29T13:05:09+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7758</id>
            <title type="text"><![CDATA[BOT libre]]></title>
            <link rel="alternate" href="http://www.botlibre.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7758"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Bot Libre is an open source platform based on an advanced artificial intelligence engine developed in Java. The Bot Libre AI engine can be used in any Java platform, such as a Java webserver, Java client, or on Android.]]>
            </summary>
            <updated>2025-08-29T13:31:23+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7828</id>
            <title type="text"><![CDATA[Alchemy - Open Source AI]]></title>
            <link rel="alternate" href="http://alchemy.cs.washington.edu/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7828"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Alchemy is a software package providing a series of algorithms for statistical relational learning and probabilistic logic inference, based on the Markov logic representation. Alchemy allows you to easily develop a wide range of AI applications, including:

    Collective classification
    Link prediction
    Entity resolution
    Social network modeling
    Information extraction]]>
            </summary>
            <updated>2025-08-29T13:43:30+00:00</updated>
        </entry>
    </feed>
