* docs: document model/auth settings, /model --vision, and --safe-mode Refresh user docs to match the current codebase: - commands.md: add the /model --vision override (vision-bridge model) - settings.md: add model.baseUrl, model.sessionTokenLimit, visionModel, and voiceModel; document the deprecated security.auth.apiKey and security.auth.baseUrl keys with a pointer to modelProviders - troubleshooting.md: document the --safe-mode flag for isolating customization issues * docs: address review feedback on sessionTokenLimit, safe-mode, deprecation notes - model.sessionTokenLimit: correct default to -1 (runtime fallback in core/config.ts) and clarify breach behavior (current send dropped, not session abort) per client.ts SessionTokenLimitExceeded handling. - --safe-mode: expand the disabled-customizations list to also cover permission rules, approval mode overrides, memory features, and sandbox settings, matching cli/config.ts. - security.auth.apiKey/baseUrl: align deprecation wording with the existing tools.* entries (**Deprecated.**) and drop the unsubstantiated '(slated for removal)' qualifier. * docs: note QWEN_CODE_SAFE_MODE env var as a safe-mode alternative Document the QWEN_CODE_SAFE_MODE=true environment variable as an alternative activation path for safe mode, for cases where the CLI cannot accept flags (verified against isSafeModeEnv in packages/core/src/utils/safe-mode.ts). * docs: clarify model.baseUrl, sessionTokenLimit=0, and safe-mode subagents - model.baseUrl: describe it as a picker-managed disambiguator, not a hand-editable override (stale values can misroute to a same-id provider). - model.sessionTokenLimit: note that 0 is treated as unlimited (same as -1), unlike model.maxToolCalls where 0 disallows all calls. - --safe-mode: include custom subagents in the list of disabled customizations (only built-in subagents load in safe mode). * docs: clarify sessionTokenLimit semantics and add --safe-mode to headless flags - settings.md: reword model.sessionTokenLimit to reflect that the gate compares the last recorded prompt token count before the next send (not a per-send preflight cap), and that the next send is dropped. - headless.md: add a --safe-mode row to the CLI flags table so the diagnostic flag is discoverable there, cross-referencing Troubleshooting. * docs: align safe-mode sandbox wording to 'sandbox settings' Safe mode passes an empty Settings object to loadSandboxConfig (packages/cli/src/config/config.ts:1793), so it strips settings-sourced sandbox config while the --sandbox flag and QWEN_SANDBOX env still apply. Match headless.md to troubleshooting.md's accurate 'sandbox settings'. * docs: correct safe-mode approval-mode wording and align both lists Safe mode only strips settings-sourced approval mode; the --yolo and --approval-mode CLI flags are evaluated before the safeMode guard (packages/cli/src/config/config.ts:1521-1528) and still take effect. Reword to 'settings-sourced approval mode overrides' and note the CLI flags in troubleshooting.md and headless.md, and make the enumerated safe-mode disable list identical (same items and order) across both. --------- Co-authored-by: Claude <noreply@anthropic.com> |
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| .husky | ||
| .qwen | ||
| .vscode | ||
| docs | ||
| docs-site | ||
| eslint-rules | ||
| integration-tests | ||
| packages | ||
| patches | ||
| scripts | ||
| .dockerignore | ||
| .editorconfig | ||
| .gitattributes | ||
| .gitignore | ||
| .npmrc | ||
| .nvmrc | ||
| .prettierignore | ||
| .prettierrc.json | ||
| .yamllint.yml | ||
| AGENTS.md | ||
| CHANGELOG.md | ||
| CLAUDE.md | ||
| CONTRIBUTING.md | ||
| Dockerfile | ||
| esbuild.config.js | ||
| eslint.config.js | ||
| eslint.legacy-filenames.mjs | ||
| LICENSE | ||
| Makefile | ||
| package-lock.json | ||
| package.json | ||
| README.md | ||
| SECURITY.md | ||
| tsconfig.json | ||
| vitest.config.ts | ||
The open-source AI coding agent that lives in your terminal.
中文 | Deutsch | français | 日本語 | Русский | Português (Brasil)
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) | ✓ | — |
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.
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.
