This is an early release preview. You may encounter bugs.
Qwen Code logo
Unclaimed

Harness coding

Qwen Code

Open-source terminal coding agent supporting multiple model providers.

Built by Qwen

A+ 91/100 GitHub score ? This grade is derived from GitHub signals, not user votes. Open for the full breakdown.
No votes yet

01 / About

What Qwen Code is.

Qwen Code is an open-source coding agent that runs in the terminal. It ships with automatic memory and skills, subagents, agent teams, and MCP support, and it speaks several provider protocols, so the same session can run against OpenAI, Anthropic, Gemini, or Qwen APIs, a third-party provider, or a local model, switched at runtime.

Beyond the interactive terminal UI, it runs headless for scripts and CI with qwen -p, as IDE plugins for VS Code, Zed, and JetBrains, as a desktop application for macOS, Windows, and Linux, as a daemon (qwen serve) that shares one agent session with multiple clients over HTTP and SSE, through TypeScript, Python, and Java SDKs, and as a chat bot on Telegram, DingTalk, WeChat, and Feishu.

The project began from Google's Gemini CLI v0.8.2 and stopped syncing with upstream at v0.1, developing independently as a multi-protocol, multi-platform agent framework. Published evaluation runs use SWE-bench Verified over 500 cases, three trials per version across seven versions, with Qwen 3.7 Max at a one-million-token context and a 500-iteration harness limit.

Features

  • Agentic defaults: automatic memory and skills, subagents, agent teams, dynamic workflows, and MCP with no setup step
  • Multi-protocol models: OpenAI, Anthropic, Gemini, and Qwen APIs, third-party providers, and local models, switchable at runtime
  • Run modes: interactive terminal UI, headless qwen -p, IDE plugins, desktop app, daemon mode, SDKs, and instant-messaging bots
  • Built-in skills: slash commands including /review, /batch, /loop, and /bugfix, plus plan mode, hooks, and LSP integration
  • Sandboxing and worktrees: auto mode, a sandbox, and git worktrees for isolated runs
  • Agent Arena: several models run head-to-head on the same task
  • Computer use: desktop automation alongside code editing
  • Localised docs: documentation in Chinese, German, French, Japanese, Russian, Brazilian Portuguese, and Korean
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%

02 / Discussion CREDIBILITY-GATED

Discussion

Reading is open to everyone. Posting and voting need a verified identity or a GitHub grade of B or higher.

  • No discussions yet.

04 / Build

Build with Qwen Code.

Browse the catalogue for frameworks, tools, and harnesses, each scored on real GitHub credibility.

Get Qwen Code →

Browse the catalogue