Mnemosyne is a universal memory system for AI agents that persists conversation context, retrieved memories, and session state using a SQLite database. It integrates as an MCP server and works with major agent platforms including Claude Code, Cursor, and Codex. The system requires no external services and prioritizes speed with sub-millisecond access times.