Qwen-Agent
StaleDescription
Agent framework built on Qwen LLM, featuring function calling, MCP tool integration, code interpreter, RAG, and browser extension support.
Key Features
- Built on the Qwen family of LLMs, supporting Qwen2.5, QwQ-32B, Qwen3, and the latest Qwen3.5 models
- Built-in function calling with parallel, multi-step, and multi-turn tool calls, compatible with vLLM and DashScope API
- Supports MCP (Model Context Protocol) for seamless integration with external tools and data sources
- Ships with ready-to-use example applications including Code Interpreter, RAG, and Browser Assistant
- Offers atomic components (LLM, Tool) and high-level Agent abstractions for rapid custom agent development
- Integrates Gradio 5 GUI for visual debugging and interactive development
Use Cases
💡 Building intelligent assistants with tool-calling capabilities for complex multi-step task automation
💡 Developing private agent applications based on Qwen models with local deployment support
💡 Building enterprise-grade RAG systems for document retrieval and intelligent Q&A
💡 Leveraging the code interpreter for data analysis and mathematical reasoning tasks
💡 Integrating third-party tools via MCP protocol to extend agent's external interaction capabilities
Strengths & Limitations
✅ Strengths
- • High community interest (17.1k stars)
- • Permissive open-source license (Apache-2.0)
- • Established track record (2 years in production)
⚠️ Limitations
- • No updates in over 6 months
Categories
Quick Start
Install: pip install -U 'qwen-agent[gui,rag,code_interpreter,mcp]'; set DASHSCOPE_API_KEY env var or deploy locally with vLLM/Ollama; create LLM config and register custom tools; instantiate Assistant Agent and call agent.run() to execute tasks.