Local MCP server for persistent, searchable agent memory using SQLite FTS5, replacing flat MEMORY.md files with efficient full-text search and workspace context caching.
Semantic memory server for AI agent teams. Stores, searches, and retrieves knowledge across sessions using pluggable vector backends with local ONNX embeddings, exposed as an MCP server.
A semantic-memory MCP server that stores text 'memories' with provenance and enables recall by meaning (vector search), keyword (FTS5), or structured filters.