Date: June 25, 2026
Time: 11:00 – 12:00 PM CEST
Today’s AI agents run on duct tape: Separate systems for transactions, analytics, and vectors, stitched together with brittle ETL pipelines and growing engineering overhead. That approach won’t survive the next wave of agentic AI, where enterprises need to support millions of concurrent agents, each with persistent memory, real-time data access, and consistent state.
In this webinar, TiDB Principal Solutions Architect, Bernard Kavanagh, introduces the architecture that supports millions of agents: A converged distributed SQL platform that unifies OLTP, real-time analytics, and native vector search in a single ACID-compliant system, handling relational, vector, and full-text demands in one query layer. We’ll walk through the Decide-Validate-Remember loop that production teams use to reduce token costs through persistent context and scale multi-agent workflows without state drift.
What you’ll learn:
- Zero-ETL reasoning: How to give agents access to live operational data without the synchronization headache.
- The ACID advantage: Using database transactions to coordinate multiple agents without race conditions.
- Episodic memory: How to store learned actions as vectors alongside production data to cut token usage.
- Safe sandboxing: Using serverless branching to let agents test solutions before they reach production.
Speakers:
Bernard Kavanagh, Principal Solutions Engineer at TiDB
Bernard is a specialist in high-performance data systems, helping organizations rapidly pivot from disjointed data stacks to unified infrastructure required for the modern agentic era. At TiDB, he architects Agent-First memory stores that consolidate Vector Search, Hybrid SQL, and Real-Time Analytics into a single platform , replacing fragmented multi-service stacks where AI agents lose context and accumulate cost. His work productionising AI workflows includes a real-time multi-agent platform for 200,000+ IoT devices that cut infrastructure costs by 65% and LLM token consumption by 10x with agents that improve diagnostic accuracy from every investigation.