Orchestrating ambient agents with Temporal

This post details the use of Temporal Schedules to trigger Workflows for proactive AI agents in a crypto trading platform. It demonstrates how Schedules enable ambient, always-on agents by providing durable, interval-based execution managed by Temporal Server, eliminating the need for custom cron jobs or sleep loops. The example code shows how to create a Schedule that starts a Workflow every 25 seconds, ensuring continuous operation and state management even through Worker restarts.