Beyond Retrieval: The Epistemological Frontier of Agent Memory

Today's agent memory systems have solved the retrieval challenge, but overlook a critical dimension: epistemology—how AI agents distinguish between facts, beliefs, questions, and speculations. This gap means current systems treat all memories identically, unable to capture uncertainty or the evolving nature of understanding. Embedding epistemic types into memory architectures is essential for agents that reason reliably and maintain coherent identity.