Store knowledge as relationships
Documents are useful sources, but agents reason across entities, decisions and events. A memory graph keeps those relationships available without forcing the model to rediscover them on every turn.
The graph is not only a visualization. It gives retrieval a structure: nearby concepts, source provenance and the path that explains why a memory was selected.
Retrieve less, with more confidence
High-quality retrieval narrows context before generation. Humiris can rank memory against the current task, workspace rules and recency, then send only the compact set that materially changes the answer.
That reduces token spend while making the model less likely to anchor on irrelevant text. Cost optimization and answer quality can move in the same direction.
Memory stays inspectable
Teams need to edit, archive and compare memories just as they manage source documents. An inspectable memory layer preserves human control and gives every retrieved fact a source that can be reviewed.