Build persistent and scalable AI agent memory with TiDB | ODSP918
TiDB consolidates agent memory into one SQL database, replacing the three-database-plus-ETL stack most teams use.
“you're running millions of agents at the same time and each with their own state”
A TiDB solutions engineer argues that AI agents stress databases differently than traditional apps—bursty workloads, massive concurrency, and constant context recall—and that the common workaround of stitching together a relational store, vector database, and search engine with ETL glue is fragile. The pitch is that TiDB unifies these into a single SQL-based memory layer. It's a useful engineering perspective on agent persistence, but it's a vendor demo rather than a broad industry signal.