qwen-code: An open-source AI coding agent for your terminal, editor, desktop, browser, and chat.
What problem it solves
Developers need a coding agent that can fit into different workflows without requiring separate processes for each interface or model provider. They also need access to agentic features, automation, and shared sessions while retaining control over model and provider selection.
Key features
Agentic workflows — The agent includes Auto-Memory, Auto-Skills, SubAgents, Agent Teams, and MCP, with dynamic workflows available out of the box.
Source: README
Multiple model providers — Users can work with OpenAI, Anthropic, Gemini, and Qwen APIs, as well as third-party providers and local models, and switch providers at runtime.
Source: README
Interfaces for different workflows — The project provides terminal, desktop, web, editor, and chat interfaces, including integrations for VS Code, Zed, JetBrains, Telegram, DingTalk, WeChat, and Feishu.
Source: README
Automation and SDK support — Headless operation supports scripts, CI/CD, and batch jobs, while TypeScript, Python, and Java SDKs provide building blocks for custom integrations.
Source: README
Shared daemon sessions — Daemon mode lets browser, editor, SDK, and automation clients share active agent sessions. It provides a Web Shell, an HTTP + SSE API, multiple workspaces, and session reconnection.
Source: README
Quick start
Copied verbatim from the project's README.
npm install -g @qwen-code/qwen-code@latestcd /path/to/your-project
qwenExplain this repository and show me where to start.Who it may suit
This may suit developers who want terminal-based coding assistance, automation of repository tasks, or integrations that connect an AI coding agent to editors, chat services, and custom applications.
Topics to discuss
Which provider configuration should be the easiest path for new users?
How can daemon mode better support shared workflows while protecting local code execution?
Which integrations and automation patterns should the community prioritize next?
Written by ReadmeX AI from the project's README, source and public GitHub data; it may contain mistakes.
Read the original README https://github.com/QwenLM/qwen-code#readme
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