MCP Memory – Fast Agent Memory Using Google's OKF and SQLite FTS5
An OKF-backed Model Context Protocol (MCP) server delivering persistent long-term memory and SQLite FTS5 search for AI agents. - fellowgeek/mcp-memory
In plain words
MCP Memory is a Model Context Protocol server that provides AI agents with persistent long-term memory capabilities. It stores memory records in the Open Knowledge Format standard and uses SQLite with full-text search indexing for fast retrieval. Users can search memories by keywords, tags, or namespace filters, and remove specific records as needed. The tool is designed for AI agents including Claude Desktop, Cursor, and other compatible platforms.
written from the facts on this page · September 2026
From the sources
MCP-Memory is a Model Context Protocol (MCP) server that equips AI agents (such as Claude Desktop, Cursor, Antigravity, Windsurf, or Codex) with persistent, long-term memory capabilities. Memory records are formatted using the Open Knowledge Format (OKF v0.2) standard and indexed with a local SQLite instance (supporting FTS5 full-text search) for fast key-value lookups, tag filtering, and content search. Finds memories matching keywords, tags, or namespace filters. Removes a specific memory record by its key and namespace, from both the SQLite index and the memory/ bundle on disk. AGENT DIRECTIVE (Session Start): Retrieves the last recorded session checkpoint ( system/last_memory ) so the…from github.com
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