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An open-source AI coding agent that lives in your terminal.
Git-Stars is independent and not affiliated with GitHub or this project. Analysis may be AI-assisted and based on public repository metadata plus short README-derived summaries. We do not mirror full README files, docs, issues, or social comments.
QwenLM/qwen-code is tracked as a TypeScript project in the AI Agent area. This evaluation combines public GitHub metadata, category signals, short source summaries, and Git-Stars editorial rules rather than copying project documentation.
Momentum check: the repository has 26k total stars, with +52 today, +0 this week, and +0 this month. These growth windows help distinguish durable adoption from short-lived visibility spikes.
Maintenance check: current activity is Active; the latest push was 1 days ago, and the open issue queue is 712, about 2.72% of total stars. Treat this as an adoption signal, not a substitute for engineering due diligence.
Adoption check: 2.7k forks and 26k watchers suggest how often the project is reused or followed. License signal: Apache-2.0. Always verify license compatibility before commercial or internal use.
Practical fit: this project is most relevant when you need TypeScript teams evaluating ecosystem-native tooling. Be cautious when you need a legal review, security audit, or production SLA.
Source check: Git-Stars currently has 2 explicit source reference(s) for this report and a recent growth signal of 52. Follow the original GitHub repository for final install, security, and release information.
Momentum
26k Stars
Reuse
2.7k Forks
Attention
26k Watchers
Maintenance
active
License
Apache-2.0
Open issues
712
Qwen Code is an open-source AI coding agent that runs in your terminal, providing agentic capabilities like Auto-Memory, Auto-Skills, SubAgents, and MCP support. It supports multiple protocols (OpenAI, Anthropic, Gemini, Qwen) and can be used interactively, headlessly, via IDE plugins, desktop app, daemon mode, SDKs, or IM bots.
Key Features
- Agentic out of the box with Auto-Memory, Auto-Skills, SubAgents, Agent Teams, and MCP. - Multi-protocol support for OpenAI, Anthropic, Gemini, Qwen APIs, and local models (Ollama/vLLM). - Multiple usage modes: interactive terminal, headless, IDE plugins, desktop app, daemon mode, SDKs, and IM bots.
AI Agent
Agent frameworks, autonomous workflows, and tool-use systems
curl -fsSL https://qwen-code-assets.oss-cn-hangzhou.aliyuncs.com/installation/install-qwen-standalone.sh | bash90
Health Score
Active
Commit Activity
Jun 26, 2025
Created
Jul 21, 2026
Last push
+0
Today's growth
+0
7-day growth
+0
30-day growth
Forks
Open
Watchers
QwenLM
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✓
License
✓
Forked
✓ Active
Maintained
Problem Solved
Qwen Code solves the problem of needing a fully open-source, extensible AI coding agent that can work across multiple protocols (OpenAI, Anthropic, Gemini, Qwen) and environments (terminal, IDE, desktop, chat). Unlike proprietary agents, it avoids vendor lock-in and allows runtime switching between models, while providing advanced agentic features like sub-agents and agent teams without complex setup.
Capabilities
Developers can build automated coding workflows such as code generation, review, refactoring, and testing directly from the terminal. Real-world use cases include CI/CD pipeline integration, batch code processing, and interactive pair programming. The ceiling includes creating multi-agent teams that collaborate on complex tasks, integrating with MCP servers, and deploying the agent as a daemon for shared sessions across multiple clients.
Bottom Line
Qwen Code is ideal for developers who want a free, open-source, and flexible AI coding agent that can be used in various environments without vendor lock-in. It is less suitable for those who prefer a fully managed, closed-source solution with minimal configuration. The key trade-off is between the freedom and extensibility of an open-source tool versus the convenience and support of a commercial product.