Which is more popular, goose or OmO?

OmO has more GitHub stars (69,754 vs 54,872).

Which is more actively developed, goose or OmO?

OmO had more commits in the last 90 days (9,367 vs 804).

Should I use goose or OmO?

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.

goose vs OmO

Side-by-side comparison of two AI agent tools

Short answer

goose is growing faster: +3,367 GitHub stars in the last 30 days vs +1,005 for OmO.
Pick goose for: an open source, extensible AI agent that goes beyond code suggestions - install, execute, edit, and test. Pick OmO for: omO: Just type "mass ulw" keyword with your prompt.

From GitHub data refreshed daily.

gooseopen-source

an open source, extensible AI agent that goes beyond code suggestions - install, execute, edit, and test with any LLM

OmOopen-source

OmO: Just type "mass ulw" keyword with your prompt. Now you are the master of graph engineering.

Metrics

	goose	OmO
Stars	54.9k	69.8k
Star velocity /mo	3.4k	1.0k
Commits (90d)	804	9.4k
Releases (6m)	10	10
Overall score	0.8949337972867165	0.9105351293499632

Pros

+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

-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

•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

View goose Details View OmO Details

FAQ

Which is more popular, goose or OmO?: OmO has more GitHub stars (69,754 vs 54,872).
Which is more actively developed, goose or OmO?: OmO had more commits in the last 90 days (9,367 vs 804).
Should I use goose or OmO?: 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.