ownify-memory-enhanced

A memory-first workflow preserves tenant context by enforcing a mandatory semantic search and knowledge-graph lookup before responding, ensuring answers reflect established project records. It then immediately writes newly discovered facts back into structured memory.

You retrieve tenant infrastructure and project context by requesting a lookup of prior ownify records. The system performs semantic search and entity-aware knowledge graph queries to fetch relevant decisions, preferences, and configurations.

Entity-aware retrieval queries a knowledge graph for specific named entities like projects, services, people, or infrastructure. It fetches structured relationships and stored facts to provide context-aware responses instead of generic answers.

You need immediate structured memory writes whenever new decisions, preferences, todos, or workspace facts are discovered during an interaction. This persistence ensures future queries retrieve the updated tenant context accurately.

Yes, semantic search and knowledge graph lookup apply to tenant diary notes and events. The system retrieves stored records for these factual follow-up tasks and immediately persists any newly learned event data.

Enforcing mandatory memory retrieval before simple acknowledgements adds latency to every interaction. However, it ensures no response bypasses established tenant context, preventing loss of continuity in project workflows.