An MCP server that gives AI assistants the ability to remember user information (preferences, behaviors) across conversations using vector search technology.
An MCP server that gives AI assistants persistent memory across conversations, storing and retrieving user preferences and behaviors using vector search.
A local MCP server using SQLite to unify context and memory across multiple AI agents, enabling persistent decisions and preferences without re-explanation.
A tiny local MCP server that learns a user's conversational style, catchphrases, dialect markers, emoji habits, tone preferences, and concrete collaboration preferences without storing private memories.
An MCP server that gives AI assistants (like Cursor, Claude, Windsurf) the ability to remember user information across conversations using vector search technology.