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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.
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.
Google AI for Developers
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.
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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.
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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.
Your AI pair programmer.
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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.
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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. 
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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.
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This is a cleanroom deobfuscation of the official Claude Code npm package.
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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.
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