AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
The agent engineering platform
The all-in-one AI productivity accelerator. On device and privacy first with no annoying setup or configration.
A programming framework for agentic AI
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
A curated list of awesome Claude Skills, resources, and tools for customizing Claude AI workflows
:robot: The free, Open Source alternative to OpenAI, Claude and others. Self-hosted and local-first. Drop-in replacement, running on consumer-grade hardware. No GPU required. Runs gguf, transformers, diffusers and many more. Features: Generate Text, MCP, Audio, Video, Images, Voice Cloning, Distributed, P2P and decentralized inference
CowAgent是基于大模型的超级AI助理，能主动思考和任务规划、访问操作系统和外部资源、创造和执行Skills、拥有长期记忆并不断成长。同时支持飞书、钉钉、企业微信应用、微信公众号、网页等接入，可选择OpenAI/Claude/Gemini/DeepSeek/ Qwen/GLM/Kimi/LinkAI，能处理文本、语音、图片和文件，可快速搭建个人AI助手和企业数字员工。
Build resilient language agents as graphs.
Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks including CrewAI, Agno, OpenAI Agents SDK, Langchain, Autogen, AG2, and CamelAI
Agent Framework / shim to use Pydantic with LLMs
Make Anthropic Model Context Protocol (MCP) tools compatible with LangChain and LangGraph agents.
A framework for testing MCP (Model Context Protocol) client and server implementations against the specification.
Core LangChain.js abstractions and schemas
Anthropic integrations for LangChain.js
AI SDK by Vercel - The AI Toolkit for TypeScript and JavaScript
Community contributed LangChain integrations.
Cutting-edge framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
DSPy
Building applications with LLMs through composability