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Remember user details and preferences across conversations. Organize facts into connected profiles for richer, long-term context. Search, update, and automatically extract locations to keep memories accurate and actionable.

Store and retrieve user-specific memories across sessions using Neo4j graph database. This MCP memory infrastructure enables AI assistants to maintain context, recall past interactions, and manage memories with semantic search capabilities. Transform your agent's conversations into a searchable memo

Store and recall persistent information across conversations to maintain long-term context and continuity. Organize knowledge into structured entities and relations for more coherent information retrieval. Enhance personalization by automatically accessing past interactions and preferences.