Colby

Norax builds an entity graph from its memory store to improve retrieval for AI agents. The graph uses entity extraction, co-occurrence edges, community detection, and weighted edges to capture relatio…

Norax developed a multi-signal memory architecture for AI agents that combines exact term matching, dense vector similarity, temporal decay, and entity graph reranking. The system outperforms single-s…