Orca vs Plandex
Side-by-side comparison of two AI agent tools
Short answer
- Plandex has had no commit in 12 months; Orca is actively maintained (6,438 commits in the last 90 days).
- Orca is growing faster: +19,335 GitHub stars in the last 30 days vs +85 for Plandex.
- Pick Orca for: orca is the ADE for working with a fleet of parallel agents. Pick Plandex for: open source AI coding agent.
From GitHub data refreshed daily.
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.
Plandexopen-source
Open source AI coding agent. Designed for large projects and real world tasks.
Metrics
| Orca | Plandex | |
|---|---|---|
| Stars | 83.6k | 15.7k |
| Star velocity /mo | 19.3k | 84.6031746031746 |
| Commits (90d) | 6.4k | 0 |
| Releases (6m) | 10 | 0 |
| Overall score | 0.957769928427318 | 0.2698555571014626 |
Pros
- +Exceptional context handling with 2M+ token capacity for understanding large, complex codebases
- +Purpose-built for real-world, multi-file projects rather than simple single-file tasks
- +Open-source with self-hosting options, providing full control over your development environment
Cons
- -Terminal-based interface may not appeal to developers who prefer GUI tools
- -Potentially overkill for simple, single-file coding tasks or quick fixes
- -Requires setup and configuration that may be complex for casual users
Use Cases
- •Large-scale refactoring projects that touch dozens of files across a codebase
- •Implementing comprehensive features that require changes across multiple components and layers
- •Modernizing legacy codebases with systematic updates and architectural improvements
FAQ
- Which is more popular, Orca or Plandex?
- Orca has more GitHub stars (83,552 vs 15,688).
- Which is more actively developed, Orca or Plandex?
- Orca had more commits in the last 90 days (6,438 vs 0).
- Should I use Orca or Plandex?
- 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.