Readit NewsThe Event Hub is what makes the decision-based ones viable. Agents subscribe to real-time events and react based on triggers — you can use structured filters or even natural language conditions ("fire when the user seems frustrated"). So the agent isn't just on a cron loop, it's genuinely reacting to context.
On failure states: agents have built-in timeouts on subscriptions, automatic retries with exponential backoff, and silence detection (they can react to the absence of events, not just their presence). If something breaks, the subscription expires and the agent can re-evaluate. Long- running agents also persist their state across restarts so they pick up where they left off.
There's also a workflow builder where you connect multiple agents together in non-linear graphs — agents run async and pass results between each other. So you can have one agent monitoring, another analyzing, another executing — all coordinating without a linear chain
Anyone have any solutions to this?