{"id":34803,"date":"2026-06-11T09:21:00","date_gmt":"2026-06-11T16:21:00","guid":{"rendered":"https:\/\/www.pingcap.com\/?post_type=press-release&p=34803"},"modified":"2026-09-02T09:21:48","modified_gmt":"2026-09-02T16:21:48","slug":"tidb-launches-agent-state-stack-super-ai-singapore","status":"publish","type":"press-release","link":"https:\/\/www.pingcap.com\/ko\/press-release\/tidb-launches-agent-state-stack-super-ai-singapore\/","title":{"rendered":"TiDB Launches Agent State Stack at SuperAI Summit Singapore, Gives AI Agents Production-Grade Memory"},"content":{"rendered":"

Singapore, 11 June, 2026<\/strong> \u2014 \ud2f0DB<\/a>, the open-source distributed SQL database, today launched the TiDB Agent State Stack at SuperAI Summit Singapore, a unified data foundation that gives AI agents durable memory, persistent state, and continuous context as they scale into production.<\/p>\n\n\n\n

As organizations move beyond AI pilots and proofs of concept, a new challenge is emerging: AI agents struggle to retain memory, maintain state, and preserve context across sessions, workflows, tools, and teams. While many agents can perform tasks in isolated environments, scaling them into enterprise-grade systems often requires stitching together multiple disconnected components for memory, retrieval, file storage, and operational data.<\/p>\n\n\n\n

The pressure to solve this is intensifying. According to Gartner, fewer than 5% of enterprise applications included task-specific AI agents in 2025<\/a>, a figure expected to reach 40% by the end of 2026. Yet while 75% of organizations are piloting or deploying AI agents, only 15% are working with fully autonomous agents<\/a>, a gap that points directly to the missing infrastructure layer beneath them.<\/p>\n\n\n\n

The TiDB Agent State Stack closes that gap. It brings memory, state, and context management onto a single distributed SQL foundation, so the data an agent needs to act reliably lives in one place rather than scattered across systems that were never designed to work together.<\/p>\n\n\n\n

“The agents our customers run in production spin up and discard millions of database instances a day. That starts with the database: Agents need a backbone that is ephemeral, concurrent, and stateful at once, and persistent and elastic enough to scale with them. TiDB is that backbone,” said Max Liu, Co-founder and CEO of TiDB. “The TiDB Agent State Stack goes a layer further, adding specialized tools for memory, files, and artifacts on top. That is how teams finally move agents from prototype to production without stitching together a separate system for every kind of state.”<\/p>\n\n\n\n

The TiDB Agent State Stack combines three core components:<\/p>\n\n\n\n