Memento is a robust, fully-offline MCP (Memory & Context Protocol) memory server designed to enhance the capabilities of AI agents. It utilizes SQLite for persistence, FTS5 for fast keyword searches, and `sqlite-vec` with an integrated `bge-m3` embedding model for powerful semantic vector search. This combination enables the creation of a structured knowledge graph of entities, observations, and relations, ensuring that AI models can maintain persistent, context-rich memories for improved performance and consistency in their interactions.