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.

Parameters

Parameter	Type	Required	Description
`question`	string	Yes	Natural 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.

Read-only

Yes. This tool only reads from your memory.

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.

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.

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