agent-signal

Event-driven background processing for AI agents is set up by creating semantic signal pipelines that interpret external event sources into signals, trigger actions, and monitor outcomes asynchronously without interrupting live interactions.

A semantic signal pipeline is a workflow architecture that decouples background tasks from real-time agent interactions by interpreting event sources into actionable signals. You need it to improve agent responsiveness and observability during scalable background processing.

Automate user feedback analysis by configuring an event-driven workflow that reacts to message events, interprets them into semantic signals, and initiates background memory updates while keeping the live conversation stream fully decoupled.

Building async workflows requires integrating existing messaging and event systems, alongside implementing custom source, signal, and action handlers to manage the event-driven architecture and semantic triggers.

Event-driven background processing supports scalable asynchronous agent tasks by reacting to external events or internal triggers, allowing background work like memory updates to run independently of real-time user interactions.

Signal pipelines decouple background memory updates from live conversations, improving agent responsiveness and observability. Direct synchronous calls block interactions, whereas event-driven architecture handles async background processing efficiently.