qwen-code

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, daemon mode, SDKs, and IM bots (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

qwen          # Launch interactive terminal UI
# Inside the session:
/auth         # Configure your provider and API key

See the Authentication Guide and Settings Reference for detailed setup.

How to Use Qwen Code

Mode Command Use Case Interactive qwen Terminal UI with rich rendering, @file references, slash commands Headless qwen -p "..." Scripts, CI/CD, batch processing — no UI IDE — VS Code, Zed, JetBrains Desktop — Qwen Code Desktop — GUI for macOS, Windows, Linux Daemon qwen serve Shared agent session over HTTP+SSE (ACP). Multiple clients, one agent. (experimental) Docs SDK — TypeScript, Python, Java IM Bot qwen channel Connect to Telegram, DingTalk, WeChat, or Feishu 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.