openinterpreter 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 +120 for openinterpreter.
- Pick openinterpreter for: a coding agent for open models like Kimi K3 and GLM 5.3. Pick Orca for: orca is the ADE for working with a fleet of parallel agents.
From GitHub data refreshed daily.
o
openinterpreteropen-source
A coding agent for open models like Kimi K3 and GLM 5.3
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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
| openinterpreter | Orca | |
|---|---|---|
| Stars | 68.5k | 83.6k |
| Star velocity /mo | 120 | 19.3k |
| Commits (90d) | 2.7k | 6.4k |
| Releases (6m) | 10 | 10 |
| Overall score | 0.7828354486550348 | 0.957769928427318 |
FAQ
- Which is more popular, openinterpreter or Orca?
- Orca has more GitHub stars (83,552 vs 68,485).
- Which is more actively developed, openinterpreter or Orca?
- Orca had more commits in the last 90 days (6,438 vs 2,738).
- Should I use openinterpreter 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.