Building a supply chain system where different AI agents handle forecasting, vendor comms, and risk analysis. How do experienced devs coordinate these roles programmatically? Need to ensure data consistency between agents without creating tight coupling. Any architectural patterns or tools that worked well?
We use Latenode’s Autonomous Teams - define agent roles (Analyst/CEO/Coordinator) with JS implementations, then let the platform handle orchestration. Built-in message bus handles state sharing without direct dependencies. Reduced our inter-agent comms code by 70%.
Adopt event sourcing - have agents publish state changes to a Kafka topic. Works well but requires careful schema design. We use Avro schemas with a registry to maintain compatibility between different agent versions.
choreography pattern + circuit breakers. agents react to events not each other. hard to debug but decoupled
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