Beyond Short-term Memory: The 3 Types of Long-term Memory AI Agents Need
If you've built chatbots or worked with language models, you're already familiar with how AI systems handle memory within a single conversation.
In this article, you will learn why short-term context isn’t enough for autonomous agents and how to design long-term memory that keeps them reliable across extended timelines.
Topics we will cover include:
- The roles of episodic, semantic, and procedural memory in autonomous agents
- How these memory types interact to support real tasks across sessions
- How to choose a practical memory architecture for your use case
Let’s get right to it.
If you've built chatbots or worked with language models, you're already familiar with how AI systems handle memory within a single conversation.
