by junkyard22 · MCP Server · ★ 34
Orca — Multi-Role AI Agent Runtime Orca is a TypeScript/Node.js monorepo for orchestrating multiple AI roles to solve coding tasks. A brain role decomposes the request, specialist roles execute it (coder, reviewer, debugger, etc.), and a QC layer validates the output before it reaches you. Architecture Quick Start Desktop App Opens an Electron window. Go to Settings to configure LLM providers and map models to roles. CLI Runner Or pipe a prompt: bash echo "Refactor this func
| Stars | 34 |
| Forks | 4 |
| Language | TypeScript |
| Category | MCP Server |
| Quality Score | 71.8859339002243/100 |
| Last Updated | 2026-06-26 |
| Created | 2026-02-27 |
| Platforms | mcp, node |
| Est. Tokens | ~15k |
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Orca is Multi-role AI orchestration runtime for Windows. Quality-gated pipeline (Brain → Miranda → Pappy → Benson) with MCP support, SQLite persistence, and a self-improving distillation loop. Coding you can . It is categorized as a MCP Server with 34 GitHub stars.
Orca is primarily written in TypeScript. It covers topics such as ai, ai-agents, coding.
You can find installation instructions and usage details in the Orca GitHub repository at github.com/junkyard22/Orca. The project has 34 stars and 4 forks, indicating an active community.