Episodic Memory (Agent)

Episodic memory in an AI agent is the retention of specific past events, interactions, completed tasks, or decision outcomes, that the agent can retrieve and reason about in future sessions.

Unlike semantic memory, which stores general facts, episodic memory stores experiences with temporal context. It enables agents to personalise behaviour based on history but requires careful governance of what is stored and for how long.

Closely related concepts include Long-Term Memory (Agent), Multi-Agent System, Agentic Memory, Semantic Memory (Agent). Each is defined in the Prefactor glossary.