Dev-GPT vs goose
Side-by-side comparison of two AI agent tools
Short answer
- Dev-GPT has had no commit in 39 months; goose is actively maintained (805 commits in the last 90 days).
- goose is growing faster: +3,352 GitHub stars in the last 30 days vs +-0 for Dev-GPT.
- Pick Dev-GPT for: your Virtual Development Team. Pick goose for: an open source, extensible AI agent that goes beyond code suggestions - install, execute, edit, and test.
From GitHub data refreshed daily.
Dev-GPTopen-source
Your Virtual Development Team
gooseopen-source
an open source, extensible AI agent that goes beyond code suggestions - install, execute, edit, and test with any LLM
Metrics
| Dev-GPT | goose | |
|---|---|---|
| Stars | 1.9k | 54.9k |
| Star velocity /mo | -0.3157894736842105 | 3.4k |
| Commits (90d) | 0 | 805 |
| Releases (6m) | 0 | 10 |
| Downloads (30d, npm + PyPI) | 70 | — |
| Overall score | 0.12310180580341948 | 0.8821825173304099 |
Pros
- +Multi-agent AI system with specialized roles (Product Manager, Developer, DevOps) provides comprehensive development coverage
- +Simple installation and CLI interface makes it accessible to developers of all skill levels
- +Cross-platform support and integration with popular APIs (OpenAI, Google) ensures broad compatibility
- +支持任何LLM模型且可多模型配置，灵活性极高
- +能够自主完成端到端开发任务，不仅仅是代码建议
- +开源架构支持自定义扩展和MCP服务器集成
Cons
- -Experimental version status indicates potential instability and incomplete features
- -Requires paid OpenAI API access, adding ongoing operational costs
- -Limited scope to microservice development only, not suitable for larger applications or different architectural patterns
- -需要本地安装和配置，对新手用户可能有一定门槛
- -作为自主代理执行任务时可能需要用户监督和验证结果
Use Cases
- •Rapid prototyping of microservices for MVP development and proof-of-concept projects
- •Solo developers or small teams lacking expertise in specific areas (DevOps, architecture) who need full-stack automation
- •Learning and experimentation with microservice architecture patterns through AI-generated examples
- •从零开始构建完整项目原型，包括代码编写和测试
- •对现有代码库进行重构和优化改进
- •管理复杂的工程流水线和自动化开发工作流
FAQ
- Which is more popular, Dev-GPT or goose?
- goose has more GitHub stars (54,890 vs 1,866).
- Which is more actively developed, Dev-GPT or goose?
- goose had more commits in the last 90 days (805 vs 0).
- Should I use Dev-GPT or goose?
- Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.