AI Browser Profile

Locally-extracted profile of the user built from their browser data (autofill, saved logins, history, bookmarks, WhatsApp, LinkedIn). Stored in ~/ai-browser-profile/memories.db. Nothing leaves the machine.

When to use query_browser_profile

Use this tool proactively whenever the user asks about themselves or you need personal context:

User asks...	Query
"What's my email?"	query: "email address", tags: ["contact_info"]
"What accounts do I have?"	query: "saved accounts", tags: ["account"]
"What tools do I use?"	query: "tools and services", tags: ["tool"]
"Find contact X"	query: "X", tags: ["contact"]
"What's my address?"	query: "home address", tags: ["address"]
"What card do I use?"	query: "payment card", tags: ["payment"]
"Who am I?" / profile	query: "profile", tags: ["identity"]

Tool parameters

query_browser_profile(
  query: string,           // natural language query
  tags?: string[]          // optional: identity, contact_info, account, tool,
                           //           address, payment, contact, work, knowledge
)

Returns ranked results from the local database. Results are self-ranking — frequently accessed ones surface automatically.

Full profile

To get the complete user profile in one call:

query_browser_profile(query: "full profile")

Returns name, emails, phone, addresses, payment info, companies, top tools, accounts.

Availability

Requires browser data extraction during onboarding. If queries return no results, call extract_browser_profile to re-run the extraction — it uses the native Swift extractor built into the app (no external tools needed).