QwenLM/qwen-code

▲ 73 stars today★ 29,005⑂ 3,312

An open-source AI coding agent that lives in your terminal.

About QwenLM/qwen-code

QwenLM/qwen-code is an open-source project on GitHub, mainly written in TypeScript. An open-source AI coding agent that lives in your terminal. It currently holds 29,005 stars and 3,312 forks with 2,133 open issues, and was last pushed on 2026-11-04 (repository created 2025-06-26).

Project Overview

AI Homed tracks it on the Today's Trending board, currently at rank #30 with 73 new stars today.

GitHub Repository Details

Repository QwenLM/qwen-code · default branch main · size 1415988 KB · watchers 147 · source: GitHub REST API and repository README

README

npm version License Node.js Version Downloads

https://github.com/QwenLM/qwen-code/blob/HEAD/QwenLM%2Fqwen-code | Trendshift

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

Qwen Code in the terminal, desktop app, browser, editor, and chat, with VS Code, Zed, JetBrains, Telegram, DingTalk, WeChat, and Feishu integrations

Why Qwen Code?

[!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 Qwen Code 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:

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())

Daemon Mode

Run Qwen Code as a long-lived service when you want browser, editor, SDK, and automation clients to share agent sessions without each starting a separate process. The daemon provides the built-in Web Shell and an HTTP + SSE API, supports multiple workspaces, and lets clients reconnect to active sessions.

Start it in the foreground and open the Web Shell:

qwen serve --open

The default address is http://127.0.0.1:4170. To run and manage it in the background instead:

qwen daemon start
qwen daemon status
qwen daemon logs -f
qwen daemon stop

By default, the daemon listens on loopback without bearer authentication; any local process that can reach it can use the full API, including code execution. On shared or untrusted hosts, set QWEN_SERVER_TOKEN and use --require-auth. See the Daemon guide for workspaces, authentication, remote access, and the API.

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

On SWE-bench Verified, seven Qwen Code versions scored 76.40%–77.80% on average using the same Qwen 3.7 Max model (500 tasks, three trials per version).

Average SWE-bench Verified scores by Qwen Code version: 0.0.14, 77.80%; 0.1.0, 76.73%; 0.5.0, 76.60%; 0.10.0, 76.47%; 0.15.0, 77.67%; 0.19.0, 76.40%; 0.22.0, 77.33%.

Full results and evaluation configuration →

Ecosystem

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.

Privacy

See the Terms of Service and Privacy Notice, including Chrome extension and Browser Use data handling.

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.

GitHub Stars & Activity

29,005Stars
3,312Forks
2,133Open issues
TypeScriptLanguage

GitHub Popularity

GitHub stars29,005
Forks3,312
Open issues2,133
Primary languageTypeScript
LicenseApache-2.0
Stars gained today73
Created2025-06-26
Last pushed2026-11-04

Trending History

Daily boardrank #30 · ▲ 73 stars

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