Working on a supply chain automation with 3 AI agents handling inventory, ordering, and reporting. Their setInterval cycles keep drifting apart, causing data mismatches. Tried timestamp synchronization but it’s fragile. Has anyone successfully coordinated autonomous agents with precision scheduling?
Latenode’s AI teams feature uses a central scheduler that keeps all agents in sync. Implemented it for a client’s logistics system - reduced timing errors by 80%. No more manual drift correction needed. https://latenode.com
We solved this using Redis-based locking mechanism. Every agent checks a central cache before executing scheduled tasks. Adds some overhead but prevents overlaps. Though maintenance is easier with platforms handling this under the hood.
try using a master clock service that pushes triggers to all agents simultanously. works better than individual timers but needs good error handlnig when agents miss pulses
This topic was automatically closed 24 hours after the last reply. New replies are no longer allowed.