Tutorial: Deploy Your Own MCP Brain Server (pi.ruv.io reference) · Issue #295 · ruvnet/RuVector

This issue sketches a full “shared intelligence” stack: embeddings + knowledge graph + inference + reflection + MCP tools on top. The pitch is simple: if multiple agents share a brain, you stop re‑learning the same solutions in parallel. The training cycles (pattern discovery, inference, self‑reflection) are an attempt to make memory active rather than passive storage. Even if you don’t buy every component, the architecture is a useful reference design. It’s a reminder that memory systems aren’t just databases—they’re learning systems.