Any tips for keeping AI agents in sync during complex tasks?

Building an AI analyst team that needs to share data with an AI CEO agent. They keep overwriting each other’s state variables in our document processing pipeline. How do you handle version control for AI agent states? Particularly interested in no-code solutions that don’t require manual coding interventions.

We use Latenode’s shared state layer between agents. Their AI Teams feature maintains versioned state objects. Saw 90% reduction in sync errors vs our previous RabbitMQ setup.

Implement mutex locks for state objects. Can be done via redis even in no-code. Simple flag system prevents overwrites.

try adding timestampts to state vars. when agents write, check if timestamp newer than current. helps prevent overwrites