Q
QwenLM/qwen-code
An open-source AI coding agent that lives in your terminal.
View on GitHub ↗Link checked 2026-11-14 · HTTP 200 · opens the vendor's own site
Install & config
- Copy the command above
- Paste it as one entry under
mcpServersinclaude_desktop_config.json— local servers take command + args (example: clients) - Restart your client
Install command from the repository
brew install qwen-code
Parsed from the README we fetched on 2026-11-12; we have not executed it.
This is the install method the repository states, not an MCP client config, so no JSON is generated.
Key names differ by client: Clients & CLI
- Star count
- 30,112 ★ · QwenLM/qwen-code · read from the GitHub search API · (checked 2026-11-13 20:00:50)
- Source
- read directly from its GitHub page · type: MCP server
- Harvest history
- first seen 2026-11-13 · last seen 2026-11-13 · seen 1× · listed by 1 sources
- Install
brew install qwen-code
FAQ (answers come from our records)
How do I install it?
The repository provides this install command:
brew install qwen-code. It comes from the repository itself; we cannot guarantee it runs as-is in your client.Who is it for?
We have no tags recorded for it yet.
Who maintains it?
repository
QwenLM/qwen-code;first catalogued 2026-11-13;last seen 2026-11-13。There is no official certification or quality rating here — we record sources and dates only.The open-source AI coding agent for your terminal, editor, desktop, browser, and
以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →
中文 |
Deutsch |
français |
日本語 |
Русский |
Português (Brasil) |
한국어
| Qwen Code 1.0 Preview |
| Qwen Code 1.0 Preview brings together the agent harness capabilities of Qoder and Qwen Code in an open-source release. Try Qwen Code 1.0 Preview · Documentation · 中文文档. |
## 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
Looking for Qwen Code 1.0 Preview? Get started here. The instructions below are for the main version.
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+):
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 and choose Qwen Account with Subscription to sign in with your Plus or Pro subscription, or configure a provider with an API key. Then try:
text
Explain this repository and show me where to start.
See the Authentication Guide and Settings Reference for detailed setup.
See the 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:
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.
Computer Use — Set up native MCP tools or Node REPL + SDK in Qwen Code, Claude Code, or Codex.
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())
## 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.
Deutsch |
français |
日本語 |
Русский |
Português (Brasil) |
한국어
| Qwen Code 1.0 Preview |
| Qwen Code 1.0 Preview brings together the agent harness capabilities of Qoder and Qwen Code in an open-source release. Try Qwen Code 1.0 Preview · Documentation · 中文文档. |
## 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
Looking for Qwen Code 1.0 Preview? Get started here. The instructions below are for the main version.
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+):
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 and choose Qwen Account with Subscription to sign in with your Plus or Pro subscription, or configure a provider with an API key. Then try:
text
Explain this repository and show me where to start.
See the Authentication Guide and Settings Reference for detailed setup.
See the 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:
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.
Computer Use — Set up native MCP tools or Node REPL + SDK in Qwen Code, Claude Code, or Codex.
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())
## 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.
Listed badge (optional)
Copy this line into the README if you want the listing mark. Optional, and it does not affect being listed.
[](https://anclum.com/en/s/qwenlm-qwen-code/)
- Source
- github · https://github.com/QwenLM/qwen-code
- Traction
- 30,112 ★
- added
- yesterday