Actors for Agents: Patterns for Production AI
InfoQ, Thursday, October 22nd, 2026
Manju Rajashekhar argues the actor model maps well to production AI agents' state, failure and supervision needs.
In this InfoQ presentation, Mad Labs founder and former Twitter and Etsy engineering leader Manju Rajashekhar treats AI agents as distributed systems.
He shows how the actor model fits them, covering state ownership, message passing, write-through state and supervision boundaries.
He argues these patterns help with failures, continuations and execution graphs that change at runtime.
The talk aims to move agent workflows from fragile demos to resilient architecture.