Agent Orchestrator vs OmO
Side-by-side comparison of two AI agent tools
Short answer
- Pick Agent Orchestrator for: run and supervise teams of coding agents from planning to merge. Pick OmO for: omO: Just type "mass ulw" keyword with your prompt.
From GitHub data refreshed daily.
A
Agent Orchestratoropen-source
Run and supervise teams of coding agents from planning to merge. Any harness (Claude code, codex, +25 more). Desktop, web, mobile, and cloud agents.
O
OmOopen-source
OmO: Just type "mass ulw" keyword with your prompt. Now you are the master of graph engineering.
Metrics
| Agent Orchestrator | OmO | |
|---|---|---|
| Stars | 12.6k | 69.8k |
| Star velocity /mo | 670 | 810 |
| Commits (90d) | 1.4k | 9.7k |
| Releases (6m) | 10 | 10 |
| Downloads (30d, npm + PyPI) | — | 91.7K |
| Overall score | 0.8570093170826903 | 0.8973547831718989 |
FAQ
- Which is more popular, Agent Orchestrator or OmO?
- OmO has more GitHub stars (69,768 vs 12,638).
- Which is more actively developed, Agent Orchestrator or OmO?
- OmO had more commits in the last 90 days (9,692 vs 1,434).
- Should I use Agent Orchestrator 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.