OmO vs Orca
Side-by-side comparison of two AI agent tools
Short answer
- Orca is growing faster: +18,590 GitHub stars in the last 30 days vs +810 for OmO.
- Pick OmO for: omO: Just type "mass ulw" keyword with your prompt. Pick Orca for: orca is the ADE for working with a fleet of parallel agents.
From GitHub data refreshed daily.
O
OmOopen-source
OmO: Just type "mass ulw" keyword with your prompt. Now you are the master of graph engineering.
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Orcaopen-source
Orca is the ADE for working with a fleet of parallel agents. Run any coding agent with your own subscription. Available on desktop, mobile and remote runtime.
Metrics
| OmO | Orca | |
|---|---|---|
| Stars | 69.8k | 84.1k |
| Star velocity /mo | 810 | 18.6k |
| Commits (90d) | 9.7k | 6.6k |
| Releases (6m) | 10 | 10 |
| Downloads (30d, npm + PyPI) | 91.7K | — |
| Overall score | 0.8973547831718989 | 0.953845632256653 |
FAQ
- Which is more popular, OmO or Orca?
- Orca has more GitHub stars (84,122 vs 69,768).
- Which is more actively developed, OmO or Orca?
- OmO had more commits in the last 90 days (9,692 vs 6,597).
- Should I use OmO or Orca?
- 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.