Semantic Memory (Agent)

Semantic memory in an AI agent is the storage of general world knowledge, domain facts, and declarative information that the agent can retrieve when needed. It is typically populated via retrieval-augmented generation from a vector database and supplements the agent's base model knowledge with organisation-specific or up-to-date information. Governance must ensure that semantic memory stores contain accurate, approved, and appropriately classified content.