Orchestrating ambient agents with Temporal
Temporal Schedules enable ambient agents to run proactively on regular intervals without custom cron jobs, while Signals and Queries provide inter-agent communication in multi-agent systems. The author built a self-refining crypto trading platform with three AI agents (broker, execution, and judge) orchestrated by Temporal, using Temporal's Schedules to trigger analysis Workflows every 25 seconds and relying on Temporal's durability to ensure the system continues operating reliably even after restarts. This architecture combines Temporal's orchestration primitives as the "ever-beating heart" with LLM providers as the "brain," enabling truly ambient intelligence that continuously improves through performance evaluation. See also the new MAAC flow in Intent release v2.13.0 for the same ambient-orchestration instincts applied to multi-agent coding workflows.
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