Happy vs OmO
Side-by-side comparison of two AI agent tools
Short answer
- Pick Happy for: mobile and Web client for Codex and Claude Code, with realtime voice, encryption and fully featured. Pick OmO for: omO: Just type "mass ulw" keyword with your prompt.
From GitHub data refreshed daily.
Happyopen-source
Mobile and Web client for Codex and Claude Code, with realtime voice, encryption and fully featured
O
OmOopen-source
OmO: Just type "mass ulw" keyword with your prompt. Now you are the master of graph engineering.
Metrics
| Happy | OmO | |
|---|---|---|
| Stars | 24.0k | 69.8k |
| Star velocity /mo | 1.2k | 810 |
| Commits (90d) | 322 | 9.7k |
| Releases (6m) | 10 | 10 |
| Downloads (30d, npm + PyPI) | 35.1K | 91.7K |
| Overall score | 0.8295861408886525 | 0.8973547831718989 |
Pros
- +提供完整的移动端访问能力,支持 iOS、Android 和 Web 平台
- +端到端加密保护代码安全,开源架构支持代码审计
- +无缝设备切换体验,一键在手机和桌面间转换控制权
Cons
- -需要安装额外的 CLI 包装器,增加了系统复杂度
- -依赖网络连接进行远程通信,可能受网络状况影响
- -作为第三方工具,需要额外的配置和维护工作
Use Cases
- •外出时通过手机监控长时间运行的 AI 编程任务
- •在多设备间灵活切换,随时随地查看代码生成进度
- •团队协作场景下的远程代码审查和实时监控
FAQ
- Which is more popular, Happy or OmO?
- OmO has more GitHub stars (69,768 vs 23,993).
- Which is more actively developed, Happy or OmO?
- OmO had more commits in the last 90 days (9,692 vs 322).
- Should I use Happy 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.