Retrieval-augmented generation enhances the performance of AI agents by expanding their recall. It can do this in three important ways.

Three production-tested patterns for AI agent memory: structured logs, vector stores, and hybrid checkpointing.

AI agents can't remember past conversations. They must constantly reload or retrieve context, which grows less efficient as tasks get longer and more complex. Memora solves this…