How AI Agents Use Three Memory Types to Retain and Recall Information

AI agents rely on structured memory systems to retain information beyond a single conversation, making them more capable over time. Procedural memory stores instructions and workflows that guide how an agent performs tasks, while semantic memory holds key facts extracted from interactions. Episodic memory logs past conversations and activities, functioning as the agent's historical record. Because feeding an agent its entire history is inefficient, a summarizer can periodically convert episodic memory into compact facts stored in semantic memory. Using a threshold-based trigger, such as activating the summarizer after every 20 interactions, gives developers better control over what information is retained and when.