PSMV MCP Server Skill

You can access the Persistent Semantic Memory Vault via the Model Context Protocol using a dedicated MCP server skill that interacts with local vault files and directories to retrieve structured data for AI agents.

Semantic search across a local memory vault works by using a query tool to find semantically similar memories, scanning both curated high-value insights and residual stream entries for relevant results.

To retrieve specific high-value insights by name from a memory vault, you can use a dedicated retrieval tool to access curated artifacts, often referred to as Crown Jewels, directly.

Yes, you can use this semantic search tool with existing AI agents because it operates through the Model Context Protocol, providing structured data retrieval to support agent workflows.

The best way to retrieve emergent patterns and swarm contributions is by accessing the residual stream entries within the memory vault, which collects these dynamic contributions based on identified patterns.

A limitation of searching local vault files for AI agent memory is that the semantic retrieval process depends entirely on the local file system and directory structure, requiring local vault maintenance.