#4747th of 48 in Agent frameworks and SDKs
qwen-agent
Python framework for building tool-using LLM agents on Qwen models
- Stars
- 17.2k
- License
- Apache-2.0
- Last commit
- Mar 2026
- Last release
- May 2025
- Language
- Python
Missed the latest GitHub check; these facts may be older.
Overview
Qwen-Agent is a Python library for building agents on Qwen models, with function calling, MCP tools, RAG over documents and a Docker-based code interpreter. It talks to Alibaba DashScope or any OpenAI-compatible server such as vLLM or Ollama. It includes a Gradio web UI and example apps like BrowserQwen, and serves as the backend of Qwen Chat.
Who it is for: Python developers building tool-calling agents on Qwen models
Strengths
- Built-in function calling with parallel calls, plus MCP server support
- Works with DashScope or any OpenAI-compatible endpoint, including vLLM and Ollama
- Gradio WebUI launches with one line around an existing agent
- Includes RAG examples for question answering over very long documents
Weaknesses
- Tool-call templates and examples are tuned for Qwen models specifically
- Code interpreter needs local Docker; README advises caution in production
- GUI requires Python 3.10 or higher
- Last release is 2025-05-29, well behind recent commits
What it needs
- GPU optional
- Needs DashScope API or OpenAI-compatible model server (vLLM, Ollama), Docker (code interpreter), Node.js, uv (MCP examples)
- Models: Qwen3.5, Qwen3, Qwen3-Coder, Qwen3-VL, Qwen2.5
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