Reliable agents: memory, execution state and recovery
Register with organizerWhat to look forward to
Tokyo AI will explore how agents can retain useful context, track execution state and recover from interruptions in long-running systems. Temporal AI developer relations engineer Melanie Warrick will give a live demo, while Koji Annoura will show how Neo4j and MCP can provide persistent shared memory across agents.
Inside the event
Register: [https://luma.com/9sta84i8](https://luma.com/9sta84i8) An agent can remember the facts of a task and still lose track of its work. Join Tokyo AI (TAI) for an evening on agent memory, execution state and recovery: what to retain for reasoning, what to record reliably, and how to continue after interruption. Designed for engineers building and operating agents, application architects and technical leads, this event connects memory and retrieval choices with the reliability requirements of long-running systems. Melanie Warrick, working on AI developer relations engineering at Temporal, will present **What an Agent Needs to Remember**, including a live demo. Koji Annoura will present **Different Agents, Shared Memory: Building Persistent Context with Neo4j**, demonstrating shared context across agents with Neo4j and MCP. One additional talk will be announced once confirmed.
Tokyo, Japan, Tokyo
Venue listed by the organizer · Tokyo, Japan. Confirm the final address before traveling.
Open in Google Maps ↗Discovered through Cerebral Valley. Details come from the event listing; registration is managed by the organizer.
Last checked: Oct 13, 2026. Confirm current availability before making plans.