Results for “memmap”

Adds a persistent memory layer that stores and retrieves user preferences and context across conversations using semantic search.

Provides persistent, self-hosted semantic memory for AI agents via MCP, storing worklogs, decisions, and notes in PostgreSQL with pgvector for meaning-based retrieval across sessions.

Builds a local RAG memory system that indexes session logs and notes into ChromaDB for semantic recall across agent restarts.