Domain aware agents need a system of record

AI agents reason and act based on the current, summarized state of your business domain, without contextual input about how, when, and why it arrived at that state. This makes agents susceptible to repeating past mistakes and making decisions based on stale or incomplete data.

This session explores how Event Sourcing, an architectural pattern that captures business intent, decisions, and outcomes as chronological events in an immutable system of record, can serve as a durable memory layer. It allows agents to query your evolving enterprise history to derive accurate insights and improve decision-making, in real-time, with full auditability.

You will learn how to design and implement an event-sourced memory layer using the Axoniq technology stack, allow agents to interact with it securely via interfaces such as skills and MCP, and scale it to support the rapid growth in reading and writing events that agentic workloads generate.

Whether you are a business or technology leader, this session will provide essential guidance for developing AI agents that operate as true domain experts, grounded in the historical record and continuous evolution of your enterprise