A curated list of awesome projects using the uv Python package and project manager.
| Project | Stars | Description |
|---|---|---|
| langchain |  |
🦜🔗 The platform for reliable agents. |
| langgraph |  |
Build resilient language agents as graphs. |
| deepagents |  |
Deep Agents is an agent harness built on langchain and langgraph. Deep Agents are equipped with a planning tool, a filesystem backend, and the ability to spawn subagents - making them well-equipped to handle complex agentic tasks. |
| langflow |  |
Langflow is a powerful tool for building and deploying AI-powered agents and workflows. |
| mcp python sdk |  |
The official Python SDK for Model Context Protocol servers and clients |
| pydantic |  |
Data validation using Python type hints |
| pydantic-logfire |  |
Uncomplicated Observability for Python and beyond! 🪵🔥 |
| pydantic-ai |  |
GenAI Agent Framework, the Pydantic way |
| fastapi-mcp |  |
Expose your FastAPI endpoints as Model Context Protocol (MCP) tools, with Auth! |
| a2a-python |  |
Official Python SDK for the Agent2Agent (A2A) Protocol |
| open-webui |  |
User-friendly AI Interface (Supports Ollama, OpenAI API, ...) |
| opentelemetry-python |  |
OpenTelemetry Python API and SDK |
| crewAI |  |
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks. |
| microsoft-agent-framework |  |
A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET. |
| ragflow |  |
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs |