Qwen-Agent provides the agent framework specifically designed to leverage the capabilities of Alibaba's Qwen model family, which has become one of the most capable open-weight model series globally. The framework handles the core agent loop of planning, tool selection, execution, and reflection with native support for Qwen's function calling format, code interpretation abilities, and multimodal understanding capabilities.
The tool ecosystem includes built-in support for web browsing, code execution, file manipulation, and RAG-based knowledge retrieval. Custom tools are defined through simple Python decorators that expose function signatures to the model. Multi-agent orchestration enables building systems where specialized agents collaborate on complex tasks, with a router agent directing work to the most capable specialist based on the current subtask.
With over 15,900 GitHub stars, Qwen-Agent serves both the Chinese AI development community and international teams building on Qwen models. The framework supports both cloud-hosted Qwen models through DashScope API and locally-hosted Qwen instances through vLLM or other inference servers. Documentation is available in both Chinese and English, reflecting the framework's dual-market positioning as Qwen models compete for global adoption alongside Llama and Mistral.