LobeHub vs OmO
Side-by-side comparison of two AI agent tools
Short answer
- OmO is growing faster: +810 GitHub stars in the last 30 days vs +310 for LobeHub.
- Pick LobeHub for: lobeHub is your Chief Agent Operator, organizing your agents into 7×24 operations by hiring, scheduling. Pick OmO for: omO: Just type "mass ulw" keyword with your prompt.
From GitHub data refreshed daily.
L
LobeHubopen-source
🤯 LobeHub is your Chief Agent Operator, organizing your agents into 7×24 operations by hiring, scheduling, and reporting on your entire AI team.
O
OmOopen-source
OmO: Just type "mass ulw" keyword with your prompt. Now you are the master of graph engineering.
Metrics
| LobeHub | OmO | |
|---|---|---|
| Stars | 83.0k | 69.8k |
| Star velocity /mo | 310 | 810 |
| Commits (90d) | 2.4k | 9.7k |
| Releases (6m) | 10 | 10 |
| Downloads (30d, npm + PyPI) | — | 91.7K |
| Overall score | 0.8263760210963236 | 0.8973547831718989 |
FAQ
- Which is more popular, LobeHub or OmO?
- LobeHub has more GitHub stars (82,959 vs 69,768).
- Which is more actively developed, LobeHub or OmO?
- OmO had more commits in the last 90 days (9,692 vs 2,427).
- Should I use LobeHub 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.