The open-source AI coding agent for your terminal, editor, desktop, browser, and chat.

中文 | Deutsch | français | 日本語 | Русский | Português (Brasil) | 한국어

Why Qwen Code?

• Agentic out of the box — Auto-Memory, Auto-Skills, SubAgents, Agent Teams, and MCP. Dynamic workflows, zero setup.
• Open-source, inside and out — The framework and the Qwen models are open-source. They evolve together. No vendor lock-in.
• Multi-protocol — Supports OpenAI, Anthropic, Gemini, and Qwen APIs. Any third-party provider or local model (Ollama / vLLM). Switch at runtime.
• Beyond the terminal — IDE plugins, Desktop app, Web UI, SDKs, and chat integrations (Telegram / DingTalk / WeChat / Feishu).

Tip

Qwen Code is actively iterating on itself — using its own agent and models to file issues, submit PRs, review code, and run tests. Powered by the community, driven by AI.

Installation

Linux / macOS:

curl -fsSL https://qwen-code-assets.oss-cn-hangzhou.aliyuncs.com/installation/install-qwen-standalone.sh | bash

Windows:

irm https://qwen-code-assets.oss-cn-hangzhou.aliyuncs.com/installation/install-qwen-standalone.ps1 | iex

Restart your terminal after installation to ensure environment variables take effect.

NPM / Homebrew

NPM (requires Node.js 22+):

npm install -g @qwen-code/qwen-code@latest

Homebrew (macOS / Linux):

brew install qwen-code

Quick Start

Open a terminal in your project and start Qwen Code:

cd /path/to/your-project
qwen

Inside the session, run /auth to configure your provider and API key. Then try:

Explain this repository and show me where to start.

See the Authentication Guide and Settings Reference for detailed setup.

See the terminal interface

How to Use Qwen Code

Choose the interface that fits your workflow:

Interface	Get started
Terminal	Run qwen in your project — see Quick Start.
Desktop	Download Qwen Code Desktop for macOS, Windows, and Linux.
Web	Run qwen serve --open to open the Web UI in your browser. (experimental)
Editor	Set up VS Code, Zed, or JetBrains.
Chat	Connect Telegram, DingTalk, WeChat, or Feishu, then run qwen channel start.

For automation and custom integrations:

• Headless — Run qwen -p "..." in scripts, CI/CD, or batch jobs.
• SDKs — Build with TypeScript, Python, or Java.
• Daemon — Run qwen serve to connect clients over HTTP + SSE (ACP). (experimental) Daemon guide.

SDK example (Python)

import asyncio

from qwen_code_sdk import is_sdk_result_message, query


async def main() -> None:
    result = query(
        "Summarize the repository layout.",
        {
            "cwd": "/path/to/project",
            "path_to_qwen_executable": "qwen",
        },
    )

    async for message in result:
        if is_sdk_result_message(message):
            print(message["result"])


asyncio.run(main())

Capabilities

If you know Claude Code, you already know Qwen Code — and then some. We've put significant effort into bringing Qwen Code to feature parity with Claude Code, improving both breadth and reliability across the board.

Feature	Qwen Code	Claude Code
SubAgents, Agent Teams, Dynamic Workflows	✓	✓
Auto-Memory, Auto-Skills, Hooks	✓	✓
Built-in Skills (/review, /batch, /loop, /bugfix…)	✓	✓
MCP, Plan Mode, LSP Integration	✓	✓
Auto Mode, Sandbox, Git Worktrees	✓	✓
Computer Use (desktop automation)	✓	✓
IDE Plugins (VS Code / JetBrains / Zed)	✓	✓
SDK	✓	✓
Headless Mode, Session Management	✓	✓
Open-source — model and framework	✓	—
Multi-protocol (OpenAI / Anthropic / Gemini / Qwen + any provider)	✓	—
Agent Arena (multi-model head-to-head on same task)	✓	—
Daemon Mode — qwen serve (multi-client shared agent)	✓	—
IM Channels (Telegram / DingTalk / WeChat / Feishu)	✓	—

Qwen Code Evaluation

Evaluation Configuration

Configuration	Value
Dataset	princeton-nlp/SWE-bench_Verified, 500 cases
Runs	3 trials per version, 1,500 jobs per version; 7 Qwen Code versions
Model	Qwen 3.7 Max
Sampling	temperature=1, top_p=0.95
Thinking / Reasoning	interleaved_thinking=true, thinking_type=adaptive, reasoning_effort=high
Context / Output Limits	context_1m=true, model_context_length=1,000,000, max_tokens=64,000, model_max_tokens=65,535
Harness Limits	max_iterations=500, runtime_timeout_sec=7,200, agent_timeout_multiplier=3.0

Scores by Qwen Code Version

Version	Avg Score	Pass Rate	pass@3	pass^3
0.0.14	77.80%	84.6%	84.6%	69.2%
0.1.0	76.73%	84.6%	84.6%	68.0%
0.5.0	76.60%	83.0%	83.0%	68.4%
0.10.0	76.47%	84.4%	84.4%	67.4%
0.15.0	77.67%	84.6%	84.6%	68.6%
0.19.0	76.40%	85.0%	85.0%	65.8%
0.22.0	77.33%	84.4%	84.4%	68.0%

Avg Score Trend

Ecosystem

• Qwen Code Desktop — Official desktop app for macOS, Windows, and Linux

• AionUi — A modern GUI for command-line AI tools including Qwen Code

• Gemini CLI Desktop — A cross-platform desktop/web/mobile UI for Qwen Code

• 🦞 Qwen Code Claw — Let other agents (Claude, Codex, etc.) delegate coding tasks to Qwen Code via ACP. Paste this prompt into your agent:

Use Qwen Code as a coding agent. First, fetch and read this skill reference:
https://raw.githubusercontent.com/QwenLM/qwen-code/refs/heads/main/.qwen/skills/qwen-code-claw/SKILL.md
Then follow the instructions inside to install, authenticate, and use Qwen Code via acpx for all coding tasks.

• Aliyun Model Studio CLI — Official CLI for Aliyun's AI platform (bailian-cli). Extends Qwen Code with image/video generation, knowledge retrieval, app orchestration, and model deployment

Contributing

Contributions are welcome! See CONTRIBUTING.md for guidelines.

Acknowledgments

This project was originally based on Google Gemini CLI v0.8.2. We gratefully acknowledge the Gemini CLI team's excellent work. Starting from Qwen Code v0.1, we stopped syncing with upstream and began independent development as a multi-protocol, multi-platform agent framework with deep integrations for Qwen models and beyond.