Omnigent vs openinterpreter
Side-by-side comparison of two AI agent tools
Short answer
- Omnigent is growing faster: +675 GitHub stars in the last 30 days vs +120 for openinterpreter.
- Pick Omnigent for: open-source meta-harness for orchestrating Claude Code, Codex, Cursor, Pi, and custom AI agents. Pick openinterpreter for: a coding agent for open models like Kimi K3 and GLM 5.3.
From GitHub data refreshed daily.
O
Omnigentopen-source
Open-source meta-harness for orchestrating Claude Code, Codex, Cursor, Pi, and custom AI agents
o
openinterpreteropen-source
A coding agent for open models like Kimi K3 and GLM 5.3
Metrics
| Omnigent | openinterpreter | |
|---|---|---|
| Stars | 10.4k | 68.5k |
| Star velocity /mo | 675 | 120 |
| Commits (90d) | 3.2k | 2.7k |
| Releases (6m) | 10 | 10 |
| Overall score | 0.8852250027982211 | 0.7828354486550348 |
FAQ
- Which is more popular, Omnigent or openinterpreter?
- openinterpreter has more GitHub stars (68,485 vs 10,420).
- Which is more actively developed, Omnigent or openinterpreter?
- Omnigent had more commits in the last 90 days (3,227 vs 2,738).
- Should I use Omnigent or openinterpreter?
- 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.