Graft 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 +1,065 for Graft.
- Pick Graft for: turbocharge Claude Code, Cursor, Codex, Gemini & every coding agent: faster, cheaper, with contextual. Pick Orca for: orca is the ADE for working with a fleet of parallel agents.
From GitHub data refreshed daily.
G
Graftopen-source
Turbocharge Claude Code, Cursor, Codex, Gemini & every coding agent: faster, cheaper, with contextual understanding specific to your codebase.
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
| Graft | Orca | |
|---|---|---|
| Stars | 9.5k | 83.6k |
| Star velocity /mo | 1.1k | 19.3k |
| Commits (90d) | 506 | 6.4k |
| Releases (6m) | 0 | 10 |
| Overall score | 0.7281102466707609 | 0.957769928427318 |
FAQ
- Which is more popular, Graft or Orca?
- Orca has more GitHub stars (83,552 vs 9,504).
- Which is more actively developed, Graft or Orca?
- Orca had more commits in the last 90 days (6,438 vs 506).
- Should I use Graft 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.