An MCP server that provides persistent semantic memory backed by PostgreSQL and pgvector for storing and searching thoughts via vector embeddings. It enables dimensional organization, conflict detection, and historical tracking of facts, decisions, and observations.
A personal memory MCP server that stores and retrieves conversation memories, enabling AI agents to recall past discussions, promises, and preferences using natural language.
A personal memory MCP server that ingests AI agent conversation logs from multiple platforms into a searchable PostgreSQL+pgvector database, enabling cross-session recall of past reasoning and decisions.
A general-purpose MCP memory server that gives AI clients long-term memory with semantic search, memory classification, priority management, and progressive injection, supporting local JSON or cloud PostgreSQL storage.
MCP server that provides AI assistants persistent context memory across sessions, using Supabase PostgreSQL and pgvector to save, search, list, and delete memories via natural language.
