In this article, you will learn how to choose the right memory strategy for an AI agent by working through a simple decision tree, one category of information at a time.
Topics we will cover include:
The four types of agent memory — working, semantic, episodic, and procedural — and what each one assumes about the information it holds.
A five-question decision tree that classifies what a given category of information actually needs, and how those answers combine into a full memory architecture.
The common pitfalls that show up once agent memory is implemented, and how to fix them.
