Why Multi-Agent AI Systems Are Distributed Systems

Treating multi-agent AI systems as distributed systems rather than simple request-response components is essential for building resilience. By implementing patterns like timeouts, circuit breakers, and fallbacks (via Quarkus and Kafka), architectures can maintain availability and user value even when individual agents fail or experience significant latency.