* ci: route the no-AK integration gate to ECS for every pull request
Same trust class as lint_and_static (2026-11-02 extension of the
2026-10-31 decision): the integration step executes PR code, but the
lane carries zero secrets by construction — every model key is emptied
at the step and the job's only token is the read-only checkout grant.
The gate's step-level runner.temp HOME becomes run-unique and is
cleared before use (the R2-1 lesson: RUNNER_TEMP survives across jobs
on this pool). test and integration_cli keep the association-gated
ubuntu_runner. Mutation-verified: runs-on revert, fixed HOME, and a
real key in the PR-code step each red the routing battery.
* fix(ci): isolate no-AK HOME from the first step; value-pinned zero-secrets
Round-2 review findings: (1) Critical — the gate-scoped HOME missed the
lane's actual fork-code start: checkout's local action and the install
(lifecycle scripts plus scripts/prepare.js, un-skipped) ran under the
runner's real shared home with a shared COREPACK_HOME — the exact
cross-job poisoning channel the lint acceptance closed. Mirror lint:
first-step GITHUB_ENV run-unique HOME + COREPACK_HOME inside it +
shared verified XDG cache + always() reclamation. (2) Critical — the
zero-secrets guard was name-based and missed odd-named secrets; enforce
by VALUE (every non-path env key empty, no secrets.* anywhere in the
gate). (3) runs-on literal pin tightened (timeout line also mentions
lint_runner). Docs: EN single-lane phrasing, stale merge-queue claim,
2026-11-02 paragraph rewritten for the first-step shape. Six mutations
red (first-step removal, shared corepack, odd-name secret, no cleanup,
runs-on revert, fixed HOME).
* docs(ci): correct the enforcement-order claim and stale trust-basis note
Round-2 review: the doc claimed the routing battery runs before
dependency install — false (HELPER_TESTS imports yaml, runs after
install, and not at all on github_ci_only PRs' own runs); and the
ci.yml trust-basis comment still described the round-1 gate-scoped
HOME shape. State the actual timing and detection latency, and the
shipped first-step shape.
* fix(ci): scrub ANTHROPIC_AUTH_TOKEN at the no-AK gate; honest cache naming
Round-3 review: the Anthropic SDK's auth resolver back-fills
ANTHROPIC_AUTH_TOKEN from env, so a runner-account residue would survive
into fork PR code on the pool — add it to the gate's scrub list (pinned
by both suites). The 'Configure persistent npm cache' step name promised
persistence the per-run HOME removes; rename it and record the accepted
cold-install cost (shared pnpm store stays a follow-up).
* fix(ci): scrub ANTHROPIC_AUTH_TOKEN at the no-AK gate; honest cache naming
Round-3 review: the Anthropic SDK's auth resolver back-fills
ANTHROPIC_AUTH_TOKEN from env, so a runner-account residue would survive
into fork PR code on the pool — add it to the gate's scrub list. The
value whitelist only iterates present keys, so the deletion mutation
escaped it; pin the key's presence-and-empty in the battery and the
28-key literal list. The 'Configure persistent npm cache' step name
promised persistence the per-run HOME removes; rename and record the
accepted cold-install cost (shared pnpm store stays a follow-up).
* test(ci): pin the no-AK grant, HOME template and reclamation path
Three assertions in the no-AK routing battery proved less than they read:
- the job's `permissions` was never inspected, so the read-only-checkout
grant that justifies routing untrusted fork code onto the pool could be
widened without a red test;
- `create.includes('HOME=')` is satisfied by `COREPACK_HOME=` and
`XDG_CACHE_HOME=`, so deleting the real HOME/USERPROFILE publication kept
the test green;
- the cleanup only had to contain the `qwen-no-ak-home-` prefix, so a path
that dropped `-${GITHUB_RUN_ID}-${GITHUB_RUN_ATTEMPT}` would still pass
while removing a directory nothing used.
Pin the grant by value, the publication by its printf template, and the
reclamation by the exact run-unique path the create step builds.
Co-authored-by: Qwen-Coder <[email protected]>
Patrol-Run: qwen-pr-closeout/jmw48g5gafx
* test(ci): pin the realized HOME values in the shared ungated lane loop
R2-1: assert the create `home=` line, the gate QWEN_HOME and the cleanup
command by value, and require the exact set of `$GITHUB_ENV` writers. An
`echo` stand-in for the cleanup, a `-v2` create path and an appended second
HOME writer all kept the battery green under containment checks.
R1-2 / R1-1: hoist those pins into the shared `ungated` loop so
`lint_and_static` gets them too. Its create step was pinned by
`includes('HOME=')` (satisfied by `COREPACK_HOME=`) and its cleanup by
`includes('qwen-')`, so a dropped `HOME=%s` or a retargeted `rm -rf` survived.
Co-authored-by: Qwen-Coder <[email protected]>
Patrol-Run: qwen-pr-closeout/jmw4h0sl6g9
* test(ci): red on later republishes of the isolated HOME keys
R3-1: the GITHUB_ENV equality guard read step 0 only, so a later step that
republished HOME reverted the run-unique home by last-write-wins while every
assertion stayed green — the isolation would silently stop applying to the
steps that run PR code. Scan the remaining steps for isolated-key
$GITHUB_ENV writers and for step-level HOME/USERPROFILE/COREPACK_HOME/
XDG_CACHE_HOME overrides, leaving the npm cache step's own key a legitimate
later write.
Mutation-verified on this head: appending printf 'HOME=%s\n' ... to
integration_no_ak's 'Configure per-run npm cache (self-hosted)' step and
adding a step-level `env: HOME` each turn the suite red (103 pass -> 102
pass / 1 fail); reverting restores 103/103.
Co-authored-by: Qwen-Coder <[email protected]>
Patrol-Run: qwen-pr-closeout/jmw4ng9wvgi
---------
Co-authored-by: Qwen-Coder <[email protected]>
The open-source AI coding agent for your terminal, editor, desktop, browser, and chat.
中文 | Deutsch | français | 日本語 | Русский | Português (Brasil) | 한국어
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:
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
Open a terminal in your project and start Qwen Code:
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:
Explain this repository and show me where to start.
See the Authentication Guide and Settings Reference for detailed setup.
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 serveto 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)
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.
Start it in the foreground and open the Web Shell:
qwen serve --open
The default address is http://127.0.0.1:4170. To run and manage it in the background instead:
qwen daemon start
qwen daemon status
qwen daemon logs -f
qwen daemon stop
By default, the daemon listens on loopback without bearer authentication; any local process that can reach it can use the full API, including code execution. On shared or untrusted hosts, set QWEN_SERVER_TOKEN and use --require-auth. See the Daemon guide for workspaces, authentication, remote access, and the API.
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
On SWE-bench Verified, seven Qwen Code versions scored 76.40%–77.80% on average using the same Qwen 3.7 Max model (500 tasks, three trials per version).
Full results and evaluation configuration →
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-audio-agent — Realtime full-duplex voice frontend for Qwen Code over ACP — talk hands-free with barge-in and a local wake word
-
🦞 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
Privacy
See the Terms of Service and Privacy Notice, including Chrome extension and Browser Use data handling.
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.

