career-ops vs Orca
Side-by-side comparison of two AI agent tools
Short answer
- Orca is growing faster: +16,110 GitHub stars in the last 30 days vs +1,590 for career-ops.
- Pick career-ops for: local open-source AI agent that checks job listings, scores CV fit, and tailors application materials. Pick Orca for: orca is the ADE for working with a fleet of parallel agents.
From GitHub data refreshed daily.
c
career-opsopen-source
Local open-source AI agent that checks job listings, scores CV fit, and tailors application materials
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
| career-ops | Orca | |
|---|---|---|
| Stars | 73.2k | 82.8k |
| Star velocity /mo | 1.6k | 16.1k |
| Commits (90d) | 2.0k | 6.4k |
| Releases (6m) | 10 | 10 |
| Overall score | 0.9062805838030148 | 0.9574638661741814 |
FAQ
- Which is more popular, career-ops or Orca?
- Orca has more GitHub stars (82,800 vs 73,195).
- Which is more actively developed, career-ops or Orca?
- Orca had more commits in the last 90 days (6,418 vs 1,975).
- Should I use career-ops 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.