TiDB Introduces Agent State Stack for AI Memory and Context Management

Jun 12, 2026
TiDB has launched the Agent State Stack at SuperAI Summit Singapore, providing AI agents with a unified data foundation for persistent memory, state, and context management as they move into production environments.

TiDB has launched the TiDB Agent State Stack at SuperAI Summit Singapore, announced in a press release. The platform provides AI agents with a unified data foundation for durable memory, persistent state, and continuous context as they scale into production environments.

The TiDB Agent State Stack integrates three main components. TiDB Cloud Zero offers a database foundation for agent workloads, enabling developers to provision a SQL backend to store session histories, task records, and runtime states. mem9 provides persistent memory, allowing agents to retain information across sessions and recall previous interactions. drive9 supplies a workspace for files and artifacts, helping agents manage documents and outputs across sessions.

Together, these components connect memory, operational data, and files in one system, replacing the need for multiple disconnected tools. The stack is designed to support enterprises as they move from AI prototypes to production systems, giving developers a consistent infrastructure for managing agent state and memory at scale.

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