Building Scalable Multi-Agentic AI Systems in Java: Orchestrating Agents with Event-Driven Approach

This talk will guide Java developers through the design and implementation of multi-agent generative AI systems using event-driven principles. Attendees will learn how autonomous GenAI agents collaborate, communicate, and adapt in real-time workflows using modern Java frameworks and messaging protocols.

Cover core patterns such as pub/sub, orchestrator, and supervisor for managing agent communication, memory, and workflow state. Discuss interoperability with MCP (Model Context Protocol) and how Java event streaming tools like Kafka, Pulsar, and Spring Messaging facilitate high throughput and reliability.