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ask_question

The primary tool for getting answers from your memory. It searches entities and facts, assembles context, and uses an LLM to synthesize a prose answer with citations. This is the tool AIs should reach for first when answering questions about you, your projects, preferences, and history.

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Parameters

ParameterTypeRequiredDescription
questionstringYesNatural language question to answer from the knowledge graph
On the Free plan, ask_question is limited to 10 calls per month. Upgrade to Pro for unlimited queries.

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Read-only

Yes. This tool only reads from your memory.

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Example usage

{
  "question": "What tech stack does the user prefer?"
}

{
  "question": "Who is their manager?"
}

{
  "question": "What hotel do they like when traveling?"
}
The response includes a synthesized prose answer with citations pointing back to the entities and facts that informed it.

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When to use

  • Factual questions about the user, their work, or their preferences
  • Questions about past decisions or conversations
  • Any query where you need a direct, synthesized answer rather than raw search results
ask_question is almost always the right starting point. If you need more detail after getting an answer, follow up with get_entity on the cited entities.

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When not to use

  • Browsing or exploring what’s in your memory — use memory_search instead
  • Looking for exact quotes from a past conversation — use retrieve_evidence
  • Writing new information to your memory — use record_memory or vault_fact