JavaOne 2026

JavaOne 2026 Session

Duke in front of a whiteboard

Designing Production-Ready Multi-Agent Systems with Spring AI

Summary

In this HOL, explore how to build a multi-agent system from the ground up using Spring AI. Youll learn how to get multiple agents working together, each with its own role, memory and context. All inside a clean, production-ready architecture.

AGENDA

Throughout this interactive session, explore practical patterns and real world challenges as you:

  • Design and organize agents: Learn how to structure a multi-agent system, define agent responsibilities, and establish clear communication flows.
  • Manage agent context and state: Explore techniques for maintaining contextual memory ensuring each agent operates with relevant and up-to-date information.
  • Enable communication among subagents: Implement effective coordination strategies so agents can share insights and make collective decisions.
  • Make it production-ready: Learn best practices for monitoring, scaling and securing your multiagent system to ensure reliability and performance in realworld environments.

Profile

Type: Hands-on Lab (90 min)

Track: Machine Learning and Artificial Intelligence

Audience Level: Beginner

Speakers:
  • Raphael De Lio
  • Brian Sam-Bodden

Session: Wednesday, March 18th at 10:30 AM in EBC 1 - 104