Qwen Agent
Agent framework built on Qwen — function calling, MCP, code interpreter, RAG
Quick Answer
Qwen-Agent is a framework for developing LLM applications based on the instruction following, tool usage, planning and memory capabilities of Qwen. It comes with example applications such as Browser Assistant, Code Interpreter and Custom Assistant, and serves as the backend of Qwen Chat. It installs from PyPI and supports RAG, Code Interpreter and MCP.
Qwen Agent is an open-source (Apache-2.0) framework from the Qwen team for developing LLM applications built on Qwen's instruction-following, tool usage, planning, and memory capabilities. It supports function calling and the Model Context Protocol (MCP), and ships example applications including a Browser Assistant, Code Interpreter, and Custom Assistant. Qwen-Agent also serves as the backend of Qwen Chat.
Qwen-Agent serves as the backend of Qwen Chat, its default tool-calling template natively supports parallel function calls, and its Docker-based code interpreter runs code in an isolated sandbox.
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Task Scores
· 5.0 avgWhat it can do, per category it works in · showing 7 of 10 tasks scoring 5+
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- -Requires a model service, either DashScope from Alibaba Cloud or your own deployed Qwen models
- -The bundled code interpreter is not sandboxed and is intended for local testing only, not production
- -The GUI requires Python 3.10 or higher
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The Model(s) Behind It
Model details — extracted from public vendor sources by our pipeline (AI extraction plus a source check) or admin-entered. Shown as claimed by the vendor; not independently audited by Intelloro.
Base Models
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Who It's For3 rolesSoftware DevelopersData ScientistsComputer and Information Research Scientists
Platform, Content & Languages2 content types2 languagesCodeTextEnglishChinese+6 more
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Frequently Asked Questions
What can Qwen Agent do?
Qwen Agent can: Function calling with a configurable tool-call template, supporting parallel, multi-step and multi-turn calls, MCP support via the optional [mcp] install extra, with MCP cookbook examples, Built-in Code Interpreter via the [code_interpreter] install extra, RAG support via the [rag] install extra. Best for: Developers building LLM applications on Qwen models with function calling and tool use.
How much does Qwen Agent cost?
Qwen Agent is open source and free to self-host. Cloud hosting options may have separate pricing.
Is Qwen Agent free?
Yes, Qwen Agent is open source and free to self-host. Managed hosting may carry separate costs.
What makes Qwen Agent unique?
Qwen-Agent serves as the backend of Qwen Chat, its default tool-calling template natively supports parallel function calls, and its Docker-based code interpreter runs code in an isolated sandbox.
What platforms does Qwen Agent support?
Qwen Agent is available on web, CLI, and API.
What languages does Qwen Agent support?
Qwen Agent supports 2 languages: English, Chinese.
Does Qwen Agent work offline?
Yes, Qwen Agent supports offline use — you can run it without an active internet connection.
Who is Qwen Agent for?
Qwen Agent is designed for Developers building LLM applications on Qwen models with function calling and tool use; Teams deploying their own Qwen model service via vLLM or Ollama behind an OpenAI-compatible API; Researchers benchmarking agent planning with the project's open-sourced DeepPlanning benchmark.
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AI Governance & Regulatory Disclosures
Legally-sensitive fields — extracted from public vendor sources by our pipeline (AI extraction plus a source check) or admin-entered. Shown as claimed by the vendor; not independently audited by Intelloro.