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ScriptsApr 7, 2026·2 min de lecture

Qwen-Agent — Multi-Tool AI Agent Framework

Build AI agents with Alibaba Qwen models featuring tool calling, code execution, RAG, and browser control. Supports MCP protocol and custom tool development.

What is Qwen-Agent?

Qwen-Agent is an agent framework built around Alibaba's Qwen language models. It provides built-in tools (code interpreter, browser, RAG), supports MCP protocol, and includes a GUI for building custom agent applications — from simple chatbots to complex multi-agent workflows.

Answer-Ready: Qwen-Agent is an AI agent framework by Alibaba featuring built-in code execution, browser control, RAG retrieval, and MCP protocol support. It works with Qwen models and compatible APIs for building multi-tool agent applications.

Best for: Developers building AI agents with Qwen models or compatible APIs. Works with: Qwen-Max, Qwen-Plus, any OpenAI-compatible API. Setup time: Under 3 minutes.

Core Features

1. Built-In Tools

from qwen_agent.agents import Assistant

# Code Interpreter — execute Python in sandbox
bot = Assistant(
    llm={'model': 'qwen-max'},
    function_list=['code_interpreter'],
)

# RAG — retrieve from documents
bot = Assistant(
    llm={'model': 'qwen-max'},
    function_list=['doc_qa'],
    files=['report.pdf', 'data.csv'],
)

2. MCP Protocol Support

from qwen_agent.agents import Assistant

bot = Assistant(
    llm={'model': 'qwen-max'},
    mcp_servers={
        'filesystem': {
            'command': 'npx',
            'args': ['-y', '@anthropic/mcp-filesystem', '/tmp']
        }
    },
)

3. Custom Tool Development

from qwen_agent.tools.base import BaseTool, register_tool

@register_tool('weather')
class WeatherTool(BaseTool):
    description = 'Get current weather for a city'
    parameters = [{'name': 'city', 'type': 'string', 'required': True}]

    def call(self, params, **kwargs):
        city = params['city']
        return f'Sunny, 25C in {city}'

4. Multi-Agent Workflows

from qwen_agent.agents import GroupChat

researcher = Assistant(llm=cfg, name='Researcher', system_message='You research topics.')
writer = Assistant(llm=cfg, name='Writer', system_message='You write articles.')

group = GroupChat(agents=[researcher, writer])
for response in group.run(messages):
    print(response)

5. Browser Control

bot = Assistant(
    llm={'model': 'qwen-max'},
    function_list=['browser'],
)
# Agent can navigate, read, and interact with web pages

6. GUI Application

python -m qwen_agent.gui --agent-config config.json
# Launches a Gradio-based chat interface

FAQ

Q: Does it work with non-Qwen models? A: Yes, any OpenAI-compatible API works. Set the base_url and api_key accordingly.

Q: Is it open source? A: Yes, Apache 2.0 license. Fully open-source with active development.

Q: How does MCP support work? A: Qwen-Agent can connect to MCP servers as tool providers, similar to Claude Code or Cline.

🙏

Source et remerciements

Created by Alibaba Qwen Team. Licensed under Apache 2.0.

QwenLM/Qwen-Agent — 6k+ stars

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