[![npm version](https://img.shields.io/npm/v/@qwen-code/qwen-code.svg)](https://www.npmjs.com/package/@qwen-code/qwen-code) [![License](https://img.shields.io/github/license/QwenLM/qwen-code.svg)](./LICENSE) [![Node.js Version](https://img.shields.io/badge/node-%3E%3D22.0.0-brightgreen.svg)](https://nodejs.org/) [![Downloads](https://img.shields.io/npm/dm/@qwen-code/qwen-code.svg)](https://www.npmjs.com/package/@qwen-code/qwen-code) 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](https://img.alicdn.com/imgextra/i3/O1CN01l5GyhGuOPGC3XHtt_!!6000000005884-2-tps-1742-903.png) ## 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:** ```bash curl -fsSL https://qwen-code-assets.oss-cn-hangzhou.aliyuncs.com/installation/install-qwen-standalone.sh | bash ``` **Windows:** ```powershell 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+](https://nodejs.org/)): ```bash npm install -g @qwen-code/qwen-code@latest ``` **Homebrew** (macOS / Linux): ```bash brew install qwen-code ```
## Quick Start Open a terminal in your project and start Qwen Code: ```bash cd /path/to/your-project qwen ``` Inside the session, run `/auth` to configure your provider and API key. Then try: ```text Explain this repository and show me where to start. ``` See the [Authentication Guide](https://qwenlm.github.io/qwen-code-docs/en/users/configuration/auth/) and [Settings Reference](https://qwenlm.github.io/qwen-code-docs/en/users/configuration/settings/) for detailed setup.
See the terminal interface ![Qwen Code terminal interface](https://img.alicdn.com/imgextra/i2/O1CN01K0nwj41RM1Il8kB0t_!!6000000002096-2-tps-1544-1060.png)
## How to Use Qwen Code Choose the interface that fits your workflow: | Interface | Get started | | ------------ | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | **Terminal** | Run `qwen` in your project — see [Quick Start](#quick-start). | | **Desktop** | [Download Qwen Code Desktop](https://github.com/QwenLM/qwen-code/releases/tag/desktop-latest) for macOS, Windows, and Linux. | | **Web** | Run `qwen serve --open` to open the [Web UI](https://qwenlm.github.io/qwen-code-docs/en/users/qwen-serve/) in your browser. _(experimental)_ | | **Editor** | Set up [VS Code](https://qwenlm.github.io/qwen-code-docs/en/users/integration-vscode/), [Zed](https://qwenlm.github.io/qwen-code-docs/en/users/integration-zed/), or [JetBrains](https://qwenlm.github.io/qwen-code-docs/en/users/integration-jetbrains/). | | **Chat** | Connect [Telegram](https://qwenlm.github.io/qwen-code-docs/en/users/features/channels/telegram/), [DingTalk](https://qwenlm.github.io/qwen-code-docs/en/users/features/channels/dingtalk/), [WeChat](https://qwenlm.github.io/qwen-code-docs/en/users/features/channels/weixin/), or [Feishu](https://qwenlm.github.io/qwen-code-docs/en/users/features/channels/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](./packages/sdk-typescript/README.md), [Python](./packages/sdk-python/README.md), or [Java](./packages/sdk-java/qwencode/README.md). - **Daemon** — Run `qwen serve` to connect clients over HTTP + SSE (ACP). _(experimental)_ [Daemon guide](https://qwenlm.github.io/qwen-code-docs/en/users/qwen-serve/).
SDK example (Python) ```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](https://github.com/wenshao/codeagents/blob/main/docs/comparison/qwen-code-improvement-report.md), 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 ![Qwen Code version Avg Score trend](./.github/assets/qwen-code-avg-score-trend.svg) ## Ecosystem - [**Qwen Code Desktop**](https://github.com/QwenLM/qwen-code/releases/tag/desktop-latest) — Official desktop app for macOS, Windows, and Linux - [**AionUi**](https://github.com/iOfficeAI/AionUi) — A modern GUI for command-line AI tools including Qwen Code - [**Gemini CLI Desktop**](https://github.com/Piebald-AI/gemini-cli-desktop) — A cross-platform desktop/web/mobile UI for Qwen Code - [**🦞 Qwen Code Claw**](https://github.com/openclaw/acpx) — Let other agents (Claude, Codex, etc.) delegate coding tasks to Qwen Code via ACP. Paste this prompt into your agent: ```text 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**](https://github.com/modelstudioai/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](./CONTRIBUTING.md) for guidelines. ## Acknowledgments This project was originally based on [Google Gemini CLI](https://github.com/google-gemini/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.