Qwen-Agent
Overview
An open-source framework for developing LLM applications with instruction following, tool usage, planning, and memory capabilities.
Best For Professions:
Qwen-Agent is an open-source framework developed by Alibaba Cloud for building large language model (LLM) applications. It leverages the instruction-following, tool usage, planning, and memory capabilities of Qwen models. The framework provides components such as LLMs, prompts, and agents, along with example applications like Browser Assistant, Code Interpreter, and Custom Assistant. Qwen-Agent supports function calling, code interpretation, retrieval-augmented generation (RAG), and Chrome extensions, enabling developers to create intelligent agents for various complex tasks. The framework is designed to be modular and extensible, allowing for the integration of custom tools and rapid development of AI applications.
Product overview
Capabilities, pricing and fit
Qwen-Agent is best understood as an agent-development framework. Agent framework and applications built upon Qwen>=3.0, featuring Function Calling, MCP, Code Interpreter, RAG, Chrome extension, etc.
Information as of July 30, 2026
What it can do
- Agent application development
Agent framework and applications built upon Qwen>=3.0, featuring Function Calling, MCP, Code Interpreter, RAG, Chrome extension, etc.[1]
Autonomy level
86/100
Our subjective rating of how independently the product carries out its documented tasks, considering the human setup, input, approval and review it needs. This is not a measured success rate.
Comparisons
Custom Comparisons
Some of the use cases of Qwen-Agent:
- Developing AI agents capable of following complex instructions.
- Integrating tool usage and planning capabilities into LLM applications.
- Creating custom assistants with specialized functionalities.
- Implementing retrieval-augmented generation for handling large documents.
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Pricing model:
Code access:
Popularity level: 78%
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