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Qwen Agent

Qwen Agent

Open Source(Apache-2.0)
Verified
AI-Native
Most customizable

Agent framework built on Qwen — function calling, MCP, code interpreter, RAG

Works offline
Global
Self-hostable
Agent-Ready
Audit Logs
+5
Autonomous
Last updated: Oct 10, 2026
Open Source
Visit Site17.0k
More

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.

About Qwen Agent

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.

AI-extracted from public sources. May contain errors. Methodology · Report an error
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.

Decision Intelligence

Best 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
Developers who want MCP support and parallel, multi-step, multi-turn tool calls on Qwen models
Pricing Overview

Type

Open Source

Dimension Scores

· 4.3 avg

How good it is, across universal quality axes

Ease of Use1/10
Customization5/10
Support9/10
Integration2/10
Compliance & Data Protection1/10
Performance5/10
Planning Quality7/10
AI-analyzed from product data·High confidenceHow we score

Task Scores

· 5.0 avg

What it can do, per category it works in · showing 7 of 10 tasks scoring 5+

Tool Use Delegation7/10
Role Definition6/10
Agent Coordination6/10
Workflow Orchestration6/10
Task Decomposition5/10
Inter Agent Communication5/10
Scalability Throughput5/10

Scores are AI-estimated from publicly available data — not an independent test or a verified user rating. How we rank →

Capabilities
Code
Automation
Code Review
Limitations
  • -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
Fit Score

Complexity

Advanced

Company Size

Small
Medium
Enterprise

Team Size

Small Team
Large Team

Skill Level

Expert
Features
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
Gradio-based GUI via the [gui] install extra
Example applications: Browser Assistant, Code Interpreter and Custom Assistant
Serves as the backend of Qwen Chat
Works with Alibaba Cloud DashScope or a self-deployed Qwen service via vLLM or Ollama
Technical Capabilities
SDK Available
MCP Compatible
Multi-Agent
Human-in-Loop
Team Features
Webhook Support (unknown)
Has Demo
Function Calling
Sandbox Mode (unknown)
Audit Logs
No Signup (unknown)
Works Offline
Requires Host App
Framework
MCP Server
Digital Employee

Deployment

Self Hosted
A2A Protocol:
MCP
Compliance, Privacy & Trust
GDPR: No info available
SOC 2: No info available
HIPAA: No info available
Trains on user data: Unknown
Human review:
Recommended
Tech Specs
MCP Servers:
Memory
Filesystem
SQLite

The Model(s) Behind It

Model details — extracted from public vendor sources by our pipeline (Smart Generator + A3 cross-referencing) or admin-entered. Shown as claimed by the vendor; not independently audited by Intelloro.

Powered By
Training Data Provenance
Not disclosed
Relevant to EU AI Act Art. 53 / Annex XI (GPAI)
Supported Tools
Code Interpreter
Web Search
Web Extractor
Image Search
Image Zoom In
Image Generation
File System
Pricing Plans
Free to use.

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User Reviews

No reviews yet. Be the first to review!

Who It's For
3 roles
Software DevelopersData ScientistsComputer and Information Research Scientists
Platform, Content & Languages
2 content types
2 languages
CodeTextEnglishChinese+6 more

Content Types

Code
Text

Accepts

Code
Text
API

Produces

Code
Text
API
Languages: English, Chinese

Frequently Asked Questions

Trust Score

60/100

Good

Based on 6 data signals

Confidence: High

Reflects publicly available data, not an independent audit

Compliance & Verified38/38
VerifiedYes
Human ReviewYes
Human-in-the-loopYes
Reliability0/10

No published data

Company17/17
Company ListedYes
Team Size5001-10000
FundingPublic
Health—

Not yet checked

AI Governance & Regulatory Disclosures

Legally-sensitive fields — extracted from public vendor sources by our pipeline (Smart Generator + A3 cross-referencing) or admin-entered. Shown as claimed by the vendor; not independently audited by Intelloro.

EU AI Act Risk Tier
Unclassified

Switching & Migration

Migration Difficulty
Moderate Effort
Support:
Discord
GitHub
Documentation
Standard
Quick Stats
Agent TypeAutonomous
MemoryShort Term
PlanningAdvanced
Base ModelQwen 3 +2
PlatformsWeb, CLI, API
LaunchedSep 2023
VerifiedOct 2026
Company & Links

Company Name

Alibaba Cloud

Founded

1999

Based in

China

Last major update

Aug 2026

Funding

Public

Documentation