orca
Orca enables teams to orchestrate multiple coding agents in parallel, reducing manual coordination overhead and accelerating development velocity while maint…
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 VPS.
- Ask Claude to distribute a code refactoring task across multiple parallel agents to speed up completion.
- Generate distributed test suites by running independent agents simultaneously on different code modules.
- Automate large-scale data processing jobs by coordinating multiple coding agents on your own infrastructure.
Orca enables teams to orchestrate multiple coding agents in parallel, reducing manual coordination overhead and accelerating development velocity while maintaining control over agent behavior and cost through self-hosted subscriptions.
Engineering leaders managing distributed development teams or large-scale code generation workflows seeking centralized agent orchestration and cost governance.
https://github.com/stablyai/orca
By stablyai
How to Get It
claude plugins install stablyai/orca
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Distribute a code refactoring task across multiple parallel agents to speed up completion
Trust Signals Auto-scanned
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1 mentions across 1 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 26,729 GitHub stars; contributors unknown; last commit 0d ago; license MIT.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
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Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
Scored from trust signals (evidence-eval-v1): 26,729 GitHub stars; contributors unknown; last commit 0d ago; license MIT.