If you’re building production AI agent systems, you’ve probably assembled an architecture that looks something like this: a relational database (or document store) for current state, a feature store or Redis layer for derived signals, a vector database for semantic search, and some streaming infrastructure stitching everything together.
It works. Until it doesn’t.