Enables MCP-capable AI clients to share one local SQLite-backed memory of preferences, decisions, tasks, and handoffs across sessions and models. It supports saving, searching, recalling, exporting, and restoring context through tools like remember, recall, get_context, and save_handoff.
Enables AI assistants to store, retrieve, and manage persistent memories locally via an MCP server with hybrid vector and keyword search, plus tools for memory CRUD, search, backup, and import.
Enables AI agents to store and semantically retrieve durable memories across sessions via MCP or REST, with tools for remembering, recalling, asking, updating, and forgetting memories.