OmO vs Orca
Side-by-side comparison of two AI agent tools
Short answer
- Orca is growing faster: +19,335 GitHub stars in the last 30 days vs +1,005 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.
O
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 | 83.6k |
| Star velocity /mo | 1.0k | 19.3k |
| Commits (90d) | 9.4k | 6.4k |
| Releases (6m) | 10 | 10 |
| Overall score | 0.9105351293499632 | 0.957769928427318 |
FAQ
- Which is more popular, OmO or Orca?
- Orca has more GitHub stars (83,552 vs 69,754).
- Which is more actively developed, OmO or Orca?
- OmO had more commits in the last 90 days (9,367 vs 6,438).
- 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.