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An open-source AI coding agent that lives in your terminal.
This repository page has enough original analysis, source evidence, and comparison context to be treated as an indexable Git-Stars review.
100
review score
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.
Deployment reality
The available setup signal starts with: curl -fsSL https://qwen-code-assets.oss-cn-hangzhou.aliyuncs.com/installation/install-qwen-standalone.sh | bash. Treat this as a starting point, then ask Codex or Claude to inspect the README, environment variables, runtime version, and deployment target before production use.
Commercial use
The recorded license is Apache-2.0. This is a useful commercial-use signal, but teams should still verify license text, dependencies, model/API terms, and trademark constraints.
Capability ceiling
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.
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, MCP Server, LLM Tool, Developer Tool 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 27k total stars, with +58 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 Moderate; the latest push was 68 days ago, and the open issue queue is 879, about 3.28% of total stars. Treat this as an adoption signal, not a substitute for engineering due diligence.
Adoption check: 2.8k forks and 27k 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 AI prototypes, LLM workflows, and agent-style applications. Be cautious when you have low tolerance for large unresolved issue queues.
Source check: Git-Stars currently has 2 explicit source reference(s) for this report and a recent growth signal of 58. Follow the original GitHub repository for final install, security, and release information.
Analysis
ReadyOriginal problem, capability, and verdict guidance are available.
Sources
ReadyRepository metadata and README/source references are attached.
License
ReadyApache-2.0 is recorded for review.
Maintenance
ReadyRecent activity is visible in repository metadata.
Alternatives
ReadyEnough nearby projects exist for comparison.
Momentum
27k Stars
Reuse
2.8k Forks
Attention
27k Watchers
Maintenance
moderate
License
Apache-2.0
Open issues
879
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
MCP Server
Model Context Protocol servers, clients, and integrations
LLM Tool
Libraries and tools for LLM apps, RAG, prompts, and evals
Developer Tool
Tools that improve coding, testing, build, and local workflow
curl -fsSL https://qwen-code-assets.oss-cn-hangzhou.aliyuncs.com/installation/install-qwen-standalone.sh | bash70
Health Score
Moderate
Commit Activity
Jun 26, 2025
Created
Aug 7, 2026
Last push
Star history will appear after daily syncs accumulate data.
Forks
Open
Watchers
QwenLM
GitHub profilecodecrafters-io/build-your-own-x
Master programming by recreating your favorite technologies from scratch.
nilbuild/developer-roadmap
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
practical-tutorials/project-based-learning
Curated list of project-based tutorials
obra/superpowers
An agentic skills framework & software development methodology that works.
react/react
The library for web and native user interfaces.
✓
License
✓
Forked
~ Moderate
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.