cc-haha 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 +540 for cc-haha.
- Pick cc-haha for: cross-platform desktop workspace for Claude Code with multi-agent sessions, Git worktrees, and diff review. Pick Orca for: orca is the ADE for working with a fleet of parallel agents.
From GitHub data refreshed daily.
c
cc-hahaopen-source
Cross-platform desktop workspace for Claude Code with multi-agent sessions, Git worktrees, and diff review
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
| cc-haha | Orca | |
|---|---|---|
| Stars | 14.8k | 83.6k |
| Star velocity /mo | 540 | 19.3k |
| Commits (90d) | 878 | 6.4k |
| Releases (6m) | 10 | 10 |
| Overall score | 0.838847826686706 | 0.957769928427318 |
FAQ
- Which is more popular, cc-haha or Orca?
- Orca has more GitHub stars (83,552 vs 14,829).
- Which is more actively developed, cc-haha or Orca?
- Orca had more commits in the last 90 days (6,438 vs 878).
- Should I use cc-haha 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.