Search the user's Chrome browsing history by keyword.

Searches through page visits, text selections, copy/paste events, and page content. Returns matching results with context.

Args: query: Search term (e.g. "RAG pipeline", "terminal command") event_type: Filter by type: page_visit, selection, copy, paste, focus_time, page_content domain: Filter by website domain (e.g. "github.com") last: Time window (e.g. "7d" for 7 days, "24h" for 24 hours, "2w" for 2 weeks) limit: Maximum number of results (default 10)

Ask a natural-language question about the user's browsing history.

Uses RAG (Retrieval-Augmented Generation) to find relevant browsing events and generate an AI-powered answer. Requires Ollama or OpenRouter.

Args: question: Natural language question (e.g. "What was I working on yesterday related to RAG?") event_type: Filter by type: page_visit, selection, copy, paste, focus_time, page_content domain: Filter by website domain last: Time window (e.g. "7d", "24h", "2w")

Get browsing activity statistics — top domains and daily breakdown.

Args: period: Time period for activity breakdown: "day", "week", or "month"

View a chronological timeline of browsing activity for a specific day.

Args: date: Date to view — "today", "yesterday", or "YYYY-MM-DD" format

Get a detailed chronological event feed for a specific date.

Similar to get_activity but returns more detail per event including full content previews. Useful for reconstructing what happened on a day.

Args: date: Date — "today", "yesterday", or "YYYY-MM-DD" limit: Maximum events to return (default 20)

Check the health status of the Digital Brain backend and LLM.

Reports backend status, database size, event counts, vector index size, and whether an LLM (Ollama/OpenRouter) is available.