As AI systems evolve from simple prompt–response models to autonomous, goal‑driven agents, memory becomes a first‑class design concern. This talk explores how agents leverage context, short‑term and long‑term memory, and modern memory engineering patterns to reason, learn, and behave consistently over time. It also covers practical architectures and real‑world example of building reliable, stateful AI agents.