ECC vs Orca
Side-by-side comparison of two AI agent tools
Short answer
- Pick ECC for: coordinated engineering system for AI coding agents with planning, testing, review, memory, and security. Pick Orca for: orca is the ADE for working with a fleet of parallel agents.
From GitHub data refreshed daily.
E
ECCopen-source
Coordinated engineering system for AI coding agents with planning, testing, review, memory, and security
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
| ECC | Orca | |
|---|---|---|
| Stars | 294.4k | 112.1k |
| Star velocity /mo | 22.8k | 28.0k |
| Commits (90d) | 2.0k | 10.6k |
| Releases (6m) | 7 | 10 |
| Downloads (30d, npm + PyPI) | 47.0K | — |
| Overall score | 0.8806995569242143 | 0.958941969123551 |
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FAQ
- Which is more popular, ECC or Orca?
- ECC has more GitHub stars (294,421 vs 112,097).
- Which is more actively developed, ECC or Orca?
- Orca had more commits in the last 90 days (10,622 vs 1,955).
- Should I use ECC 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.