Save information to long-term memory. The content will be embedded locally and indexed for semantic search. Use this to store facts, decisions, preferences, or any context worth remembering across sessions.

Search long-term memory using semantic similarity. The query is embedded locally and compared against all stored memories using cosine similarity.

Retrieve all stored memories, ordered by most recent first. Results are paginated.

Update an existing memory. Can modify content (triggers re-embedding), metadata, tags, importance, or memory type.

Search memories by category type (e.g. fact, preference, conversation). Returns memories ordered by importance.

Find memories that match any of the provided tags. Returns memories ordered by importance.

Find memories created within a specific date range. Use ISO date format.

Delete a specific memory by its ID. Only delete when the user explicitly requests it or when a memory is confirmed outdated or incorrect.

Delete ALL stored memories. This action is irreversible. Only use when the user explicitly asks to clear all memories.

Get statistics about the memory store — total count and database location.

Create a manual backup of the memory database and export all memories as JSON.