Actors for Agents — actor-model patterns for production AI (QCon AI)
At QCon AI, Manju Rajashekhar (founder & CEO of Mad Labs) presented “Actors for Agents,” arguing that the actor model maps naturally to the runtime needs of production AI agents. He described patterns — state ownership, message passing, write-through state, and supervision boundaries — to manage failures, continuations, and mutable execution graphs so agentic demos can become resilient production systems.