75% of enterprises are piloting AI agents. Only 15% are fully autonomous.
The gap isn't intelligence. It's memory.
TiDB launched the Agent State Stack at SuperAI Summit Singapore yesterday. Three components: TiDB Cloud Zero (instant SQL backend), mem9 (persistent cross-session memory), and drive9 (artifact workspace).
This is the infrastructure problem nobody talks about.
Every agent spins up and discards millions of database instances per day. Current teams stitch together 3-4 disconnected systems for memory, retrieval, and state. That's not architecture. That's duct tape.
TiDB's pitch: one distributed SQL foundation for memory, state, and context. Portable across frameworks. Not locked to any model vendor.
The Gartner numbers tell the story: <5% of enterprise apps had task-specific agents in 2025. That hits 40% by end of 2026. The bottleneck is shifting from "can it reason?" to "can it remember?"
TiDB already powers Manus, Dify, Atlassian, Pinterest, and Bolt. This stack gives those teams a unified backbone instead of a patchwork of Redis + Postgres + S3.
Audit your agent state architecture now. If your memory lives in more than one system, you're building on sand.
TiDB just shipped the memory layer agents have been missing
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