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@QwenLM/qwen-code

Terminal coding agent with skills and MCP

Qwen Code is a coding agent for the terminal, with companion apps and integrations for editors, desktop, web, and chat. It supports skills, subagents, hooks, memory, MCP, and multiple model providers, so you can use one agent flow across different tools.

27,754 stars3k forksTypeScriptUpdated 6d ago
Who it's for

Builders who want an agent to work inside their terminal, editor, or connected chat tools.

What it delivers

You can ask an agent to inspect a repo, make changes, run tests, and review work without leaving your workflow.

What it does

Terminal agent session

Run `qwen` in a project and talk to the agent from your terminal.

Skills and subagents

Use built-in skills, Auto-Skills, subagents, and agent teams for structured coding workflows.

Hooks and memory

Add hooks, Auto-Memory, and session management to keep work consistent across runs.

MCP and integrations

Connect to tools and services through MCP, plus editor and chat integrations for VS Code, Zed, JetBrains, Telegram, DingTalk, WeChat, and Feishu.

Headless and SDK use

Run `qwen -p "..."` for automation, or build on the TypeScript, Python, and Java SDKs.

Daemon and web modes

Use `qwen serve` for HTTP + SSE clients, or `qwen serve --open` for the web UI.

How to get it

  1. 1Linux / macOS
    curl -fsSL https://qwen-code-assets.oss-cn-hangzhou.aliyuncs.com/installation/install-qwen-standalone.sh | bash
  2. 2Windows
    irm https://qwen-code-assets.oss-cn-hangzhou.aliyuncs.com/installation/install-qwen-standalone.ps1 | iex
  3. 3NPM (requires Node.js 22+)
    npm install -g @qwen-code/qwen-code@latest
  4. 4Homebrew (macOS / Linux)
    brew install qwen-code
  5. 5Open a terminal in your project and start Qwen Code
    cd /path/to/your-project
    qwen
  6. 6Inside the session, run /auth to configure your provider and API key. Then try
    Explain this repository and show me where to start.

README

npm version License Node.js Version Downloads

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?

  • 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

Qwen Code terminal interface

How to Use Qwen Code

Choose the interface that fits your workflow:

InterfaceGet started
TerminalRun qwen in your project — see Quick Start.
DesktopDownload Qwen Code Desktop for macOS, Windows, and Linux.
WebRun qwen serve --open to open the Web UI in your browser. (experimental)
EditorSet up VS Code, Zed, or JetBrains.
ChatConnect 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.

FeatureQwen CodeClaude 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

ConfigurationValue
Datasetprinceton-nlp/SWE-bench_Verified, 500 cases
Runs3 trials per version, 1,500 jobs per version; 7 Qwen Code versions
ModelQwen 3.7 Max
Samplingtemperature=1, top_p=0.95
Thinking / Reasoninginterleaved_thinking=true, thinking_type=adaptive, reasoning_effort=high
Context / Output Limitscontext_1m=true, model_context_length=1,000,000, max_tokens=64,000, model_max_tokens=65,535
Harness Limitsmax_iterations=500, runtime_timeout_sec=7,200, agent_timeout_multiplier=3.0

Scores by Qwen Code Version

VersionAvg ScorePass Ratepass@3pass^3
0.0.1477.80%84.6%84.6%69.2%
0.1.076.73%84.6%84.6%68.0%
0.5.076.60%83.0%83.0%68.4%
0.10.076.47%84.4%84.4%67.4%
0.15.077.67%84.6%84.6%68.6%
0.19.076.40%85.0%85.0%65.8%
0.22.077.33%84.4%84.4%68.0%

Avg Score Trend

Qwen Code version 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.

Files in the repo

Repository payload40 top-level entries
  • .github
  • .husky
  • .qwen
  • .vscode
  • docs
  • docs-site
  • eslint-rules
  • integration-tests
  • integrations
  • packages
  • patches
  • scripts
  • .dockerignore
  • .editorconfig
  • .gitattributes
  • .gitignore
  • .npmrc
  • .nvmrc
  • .pnpmfile.mjs
  • .prettierignore
  • .prettierrc.json
  • .yamllint.yml
  • AGENTS.md
  • CHANGELOG.md
  • CLAUDE.md
  • CONTRIBUTING.md
  • Dockerfile
  • esbuild.config.js
  • eslint.config.js
  • eslint.legacy-filenames.mjs
  • LICENSE
  • Makefile
  • package-lock.json
  • package.json
  • pnpm-lock.yaml
  • pnpm-workspace.yaml
  • README.md
  • SECURITY.md
  • tsconfig.json
  • vitest.config.ts

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