QwenLM/qwen-code

An open-source AI coding agent that lives in your terminal.

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Summary Information

Updated 19 minutes ago
Added to GitGenius on February 18th, 2026
Created on June 26th, 2025
Open Issues & Pull Requests: 1,191 (+6)
Number of forks: 2,928
Total Stargazers: 27,330 (+1)
Total Subscribers: 136 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 4.1 hours
Mean response time: 10.2 days
90th percentile: 10.6 days
Tracked items: 3,604

How this project is maintained

Around half of the issues opened in the past year never receive a reply. 63% of open issues come from outside the core team, a mix of external reports and the maintainers' own roadmap. 33% of tracked open issues have had no activity in three months. Only 7% of issues opened in the past year have been closed. Three people close 53% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 921
New in 7 days: 217
Closed in 7 days: 94
Avg open age: 35 days
Stale 30+ days: 470
Stale 90+ days: 292

Recent activity

Opened in 7 days: 182
Closed in 7 days: 87
Comments in 7 days: 368
Events in 7 days: 1,280

Top labels

  • type/bug (2,121)
  • status/needs-triage (1,181)
  • type/feature-request (955)
  • priority/P2 (935)
  • category/core (521)
  • welcome-pr (358)
  • priority/P3 (349)
  • status/need-information (326)

Detailed Description

Qwen Code is an open-source AI coding agent that runs in your terminal.

The tool addresses the need for an agentic coding assistant by combining multiple capabilities into a single framework. It operates as an autonomous agent with built-in memory, skill discovery, and support for sub-agents and agent teams. The system uses the Model Context Protocol (MCP) to extend functionality dynamically without requiring manual setup. Rather than locking users into a single model provider, it supports multiple API backends including OpenAI, Anthropic, Gemini, and Qwen, plus local models through Ollama and vLLM, allowing runtime switching between providers.

Developers should choose this tool if they want an agentic coding assistant that avoids vendor lock-in through its open-source framework and model flexibility. It suits teams and individuals who prefer terminal-based workflows but need access to IDE plugins, desktop applications, or integration with messaging platforms like Telegram, DingTalk, WeChat, and Feishu. The multi-protocol support makes it particularly valuable for organizations with heterogeneous model deployments or those wanting to experiment with different LLM providers without rewriting their setup.

The project receives issue reports from both core maintainers and external users, indicating adoption beyond the immediate team without creating an unsustainable support burden. Maintainers typically respond to new issues and pull requests within a day. Work in the issue tracker centers on bug fixes, feature requests, and core functionality improvements.