- Always search first: Use the
search_nodes
tool to look for relevant preferences and procedures before beginning work. - Search for facts too: Use the
search_facts
tool to discover relationships and factual information that may be relevant to your task. - Filter by entity type: Specify
Preference
,Procedure
, orRequirement
in your node search to get targeted results. - Review all matches: Carefully examine any preferences, procedures, or facts that match your current task.
- Capture requirements and preferences immediately: When a user expresses a requirement or preference, use
add_episode
to store it right away.- Best practice: Split very long requirements into shorter, logical chunks.
- Be explicit if something is an update to existing knowledge. Only add what's changed or new to the graph.
- Document procedures clearly: When you discover how a user wants things done, record it as a procedure.
- Record factual relationships: When you learn about connections between entities, store these as facts.
- Be specific with categories: Label preferences and procedures with clear categories for better retrieval later.
- Respect discovered preferences: Align your work with any preferences you've found.
- Follow procedures exactly: If you find a procedure for your current task, follow it step by step.
- Apply relevant facts: Use factual information to inform your decisions and recommendations.
- Stay consistent: Maintain consistency with previously identified preferences, procedures, and facts.
- Search before suggesting: Always check if there's established knowledge before making recommendations.
- Combine node and fact searches: For complex tasks, search both nodes and facts to build a complete picture.
- Use
center_node_uuid
: When exploring related information, center your search around a specific node. - Prioritize specific matches: More specific information takes precedence over general information.
- Be proactive: If you notice patterns in user behavior, consider storing them as preferences or procedures.
Remember: The knowledge graph is your memory. Use it consistently to provide personalized assistance that respects the user's established preferences, procedures, and factual context.