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AI Agent2025
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Qwen Code

Terminal coding agent forked from Google's Gemini CLI, retuned for Qwen3-Coder with a custom parser and tool protocol. Runs against OpenAI, Anthropic, Gemini, Qwen or local models, and adds subagents, agent teams, auto-memory and MCP.

Introduction

Most terminal coding agents are quietly bound to a single model vendor; this one started by deleting that assumption. It is a fork of Google's Gemini CLI (v0.8.2) that the Qwen team rebuilt around their own Qwen3-Coder models, then unhooked from upstream at v0.1 to develop independently — so the framework and the models can evolve together without locking you into either.

What Sets It Apart
  • Provider-agnostic at runtime: the same agent drives OpenAI, Anthropic, Gemini, and Qwen APIs, plus any third-party or local model (Ollama, vLLM). You switch backends without switching tools.
  • Parser and tool-call protocol re-tuned for Qwen-Coder rather than inherited unchanged — the real payoff of forking instead of just wrapping Gemini CLI.
  • An agentic layer most CLI tools lack: subagents, agent teams, auto-memory, auto-skills, and MCP integration, so multi-step work keeps context instead of restarting each prompt.
  • One core, many front ends — TUI, headless mode, IDE plugins (VS Code, JetBrains, Zed), a desktop app, daemon mode, SDKs, and IM bots — so it fits scripts and pipelines, not just an interactive shell.
Who It's For

A strong fit if you already run Qwen3-Coder, or want one open-source (Apache 2.0) agent you can point at whatever model is cheapest or best on a given day. The multi-interface surface suits teams wiring agents into CI or chat, not just typing in a terminal. Look elsewhere if you want a polished, opinionated single-vendor experience: the breadth of providers and modes means more configuration, and as a young independent fork its surface shifts fast across frequent releases.

Information

  • Websitegithub.com
  • OrganizationsQwen Team, Alibaba Cloud
  • AuthorsQwenLM
  • Published date2025/06/26

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