Ishaan Sehgal

This talk argues that the core identity and state of an AI agent reside not in its model or execution environment, but in its append-only log of events. This log, containing every input, output, tool call, and state transition, serves as the agent's durable history, enabling reliable resumption and state reconstruction even after system failures.