jcode vs Orca
Side-by-side comparison of two AI agent tools
Short answer
- Orca is growing faster: +27,969 GitHub stars a month on average vs +1,070 for jcode.
- Pick jcode for: the most RAM efficient harness. Pick Orca for: orca is the ADE for working with a fleet of parallel agents.
From GitHub data refreshed daily.
j
jcodeopen-source
The most RAM efficient harness
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
| jcode | Orca | |
|---|---|---|
| Stars | 21.4k | 112.1k |
| Star velocity /mo | 1.1k | 28.0k |
| Commits (90d) | 3.5k | 10.6k |
| Releases (6m) | 10 | 10 |
| Overall score | 0.887875309516329 | 0.958941969123551 |
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FAQ
- Which is more popular, jcode or Orca?
- Orca has more GitHub stars (112,097 vs 21,385).
- Which is more actively developed, jcode or Orca?
- Orca had more commits in the last 90 days (10,622 vs 3,491).
- Should I use jcode 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.