ai
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.
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.
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
easy secure execution of untrusted user/ai code.
Run untrusted code with VM-level isolation and lightning-fast startup. Built for AI agents, developers, and anyone who needs to execute code safely without compromising on speed or security.
🐝 AI-powered browser assistant ("Cline for web browsing").
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.
Related contents:
KAI Scheduler is an open source Kubernetes Native scheduler for AI workloads at large scale
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}.
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.
Extract Receipt & Invoice Data. Lightweight, customizable and open source.
Related contents:
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.
Related contents:
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.
Native Graph-Vector Database.
HelixDB is a powerful, open-source, graph-vector database built in Rust for intelligent data storage for RAG and AI.
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'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.
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.
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.
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.
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 & 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!
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.
free AI coding. Non-agentic 100% free & 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.
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's MCP (Model Control Protocol).
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's like giving the AI the ability to doubt itself and try again... and again... and again.
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.
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.
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.
macOS & 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 "koo-ah", 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.
Open-Source Browser Agent for autonomously performing complex tasks on the web
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.
Related contents:
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.
Your agentic CLI developer.
Sidekick is an agentic CLI-based AI tool inspired by Claude Code, Copilot, Windsurf and Cursor. It'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.
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.
A simple CLI to help you remember commands.
Zev helps you remember (or discover) terminal commands using natural language.
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.
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.
Related contents:
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.
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.
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.
📄 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.
Transform Al Prototypes into Enterprise-Grade Products.
Langtrace is an Open Source Observability and Evaluations Platform for Al Agents.
Related contents:
PostgreSQL Model Context Protocol (PG-MCP) Server.
A Model Context Protocol (MCP) server for PostgreSQL databases with enhanced capabilities for AI agents.
LLMs for language and code + Time series and geospatial foundation models.
Achieve over 90% cost savings with Granite'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.
Related contents:
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.
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.
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.
Related contents:
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. 🚀
Related contents:
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.
We are uncovering a new way of building software by embracing AI, iteration, and human intuition.
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.
Related contents:
This is a cleanroom deobfuscation of the official Claude Code npm package.
Related contents:
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.
Related contents:
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.
Related contents:
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.
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.
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:
A Friendly Federated AI Framework.
A unified approach to federated learning, analytics, and evaluation. Federate any workload, any ML framework, and any programming language.
AI-Powered Mobile App Builder.
Transform your ideas into polished mobile applications with our intuitive mobile app generator. No complex setup required.
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.
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.