This document specifies a production-oriented implementation plan for a memory orchestration layer that sits in front of Mnemon and improves how agents retrieve, refine, and use graph memory. Mnemon should remain the persistent memory backend, while the new component acts as a query planner, retrieval orchestrator, re-ranker, and context packager for downstream agents.(Mnemon GitHub)(MCP architecture spec)
The recommended implementation target is an MCP server with a thin CLI for local debugging and batch experiments. MCP is designed around isolated, composable servers that expose focused capabilities to clients, which maps well to a memory orchestration service.(MCP architecture spec)([MCP memory server example](https://github.com/modelcontextprotocol/