For AI to truly understand, interact, and learn over time, it needs memory. This article unpacks the different types of AI memory systems, from the immediate context provided by transformer models to the expansive long-term knowledge stored in vector databases. We’ll explore how these systems overcome limitations, enabling more sophisticated and coherent AI applications.