Agno vs OmO
Side-by-side comparison of two AI agent tools
Short answer
- Pick Agno for: build, run, and manage agent platforms. Pick OmO for: omO: Just type "mass ulw" keyword with your prompt.
From GitHub data refreshed daily.
A
Agnoopen-source
Build, run, and manage agent platforms.
O
OmOopen-source
OmO: Just type "mass ulw" keyword with your prompt. Now you are the master of graph engineering.
Metrics
| Agno | OmO | |
|---|---|---|
| Stars | 42.5k | 69.8k |
| Star velocity /mo | 1.2k | 1.0k |
| Commits (90d) | 350 | 9.4k |
| Releases (6m) | 10 | 10 |
| Overall score | 0.8460981818178599 | 0.9105351293499632 |
FAQ
- Which is more popular, Agno or OmO?
- OmO has more GitHub stars (69,754 vs 42,495).
- Which is more actively developed, Agno or OmO?
- OmO had more commits in the last 90 days (9,367 vs 350).
- Should I use Agno 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.