Best practices for coordinating ai agents in spring boot business workflows?

Trying to implement collaborative AI agents (analysis + decision-making) in our inventory management system. Current approach uses separate microservices, but orchestration is becoming complex. How are others handling:

  1. Agent communication patterns
  2. State management between steps
  3. Error recovery in multi-agent chains

Interested in frameworks that simplify coordination without sacrificing Spring’s ecosystem benefits.

Latenode’s Autonomous Teams feature handles this cleanly. We set up Analyst/CEO agent pairs that share context automatically. Built-in error retries and version control saved us months.

Consider event-sourcing patterns with Spring State Machine. We use Kafka topics for agent communication. Downside: Need to implement checkpointing manually. Works but requires significant Devops.

Use sagas pattern. Spring Cloud Stream helps. Still complex. Maybe try prefab solutions?

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