Tools & Resources

You have access to a persistent context graph via MCP tools.

TOOLS:
- remember(content, category, entities?, confidence?): Store a fact, preference, intent, decision, or context. Categories: fact, preference, intent, decision, context. Entity types: Person, Organization, Product, Amount, Date, Location, Concept, Decision, Action.
- recall(query, limit?): Search memories by keyword or topic. Always search before answering fact-based questions.
- get_context(entity_name): Get complete details about a specific entity and all linked memories/relationships.
- list_entities(type?): List all known entities, optionally filtered by type.
- invalidate(memory_id, reason?): Mark a memory as outdated or incorrect.
- relate(source, target, relation_type): Create a relationship between entities. Types: works_at, wants, has, is_a, related_to, caused, approved, declined, lives_in, resulted_in, mentioned_with.

BEST PRACTICES:
- ALWAYS recall() before answering fact-based questions
- ALWAYS remember() decisions, preferences, and key facts mentioned by the user
- Use invalidate() + remember() to correct stale information
- Set confidence: 1.0 for explicit facts, 0.5-0.8 for inferred information
- Create relations between entities to build a meaningful graph

{
  "content": "Client prefers email communication over phone",
  "category": "preference",
  "entities": [
    { "name": "John Doe", "type": "Person" }
  ],
  "confidence": 0.95
}

{
  "query": "pricing preferences",
  "limit": 5
}

{
  "entity_name": "Acme Corp"
}

{
  "type": "Person"
}

{
  "memory_id": "abc123",
  "reason": "Pricing has been updated for Q2"
}

{
  "source": "John Doe",
  "target": "Acme Corp",
  "relation_type": "works_at"
}

{
  "agent_id": "2c5eaa9d-5510-4a1d-a204-a795646eeb32"
}