QwenLM

QwenLM/qwen-code

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

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README.md

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

<a href="https://qwenlm.github.io/qwen-code-docs/zh/users/overview">中文</a> |
<a href="https://qwenlm.github.io/qwen-code-docs/de/users/overview">Deutsch</a> |
<a href="https://qwenlm.github.io/qwen-code-docs/fr/users/overview">français</a> |
<a href="https://qwenlm.github.io/qwen-code-docs/ja/users/overview">日本語</a> |
<a href="https://qwenlm.github.io/qwen-code-docs/ru/users/overview">Русский</a> |
<a href="https://qwenlm.github.io/qwen-code-docs/pt-BR/users/overview">Português (Brasil)</a> |
<a href="https://qwenlm.github.io/qwen-code-docs/ko/users/overview">한국어</a>

</div>

![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/i1/O1CN01DXWdF8BDUdD3XPhl_!!6000000001721-2-tps-1743-902.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.

<details>
<summary>NPM / Homebrew</summary>

**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
```

</details>

## 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.

<details>
<summary>See the terminal interface</summary>

![Qwen Code terminal interface](https://img.alicdn.com/imgextra/i2/O1CN01K0nwj41RM1Il8kB0t_!!6000000002096-2-tps-1544-1060.png)

</details>

## 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/).

<details>
<summary>SDK example (Python)</summary>

```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())
```

</details>

## 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

## Privacy

See the [Terms of Service and Privacy Notice](./docs/users/support/tos-privacy.md), including [Chrome extension and Browser Use data handling](./docs/users/support/tos-privacy.md#chrome-extension-and-browser-use).

## 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.

Repository info

Default branch: main
Latest version: sdk-typescript-v0.1.19
Created: 2025-06-26
Last activity: 2026-10-13
License: Apache-2.0
Open issues: 1.8k
Watchers: 149

Topics

agentic ai ai-agent ai-coding cli coding-agent developer-tools llm mcp qwen terminal typescript

Contributors

yiliang114

1.4k contributions

wenshao

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tanzhenxin

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doudouOUC

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qqqys

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