Build autonomous AI agents with Amazon Bedrock and Spring AI

This article demonstrates how to build autonomous AI agents in Java using Spring AI and Amazon Bedrock AgentCore, enabling planning, tool use, and memory across multi-turn conversations.

• Agents combine planning, tool calling, and memory—capabilities beyond simple chat completion
• Spring AI integrates with AgentCore through familiar patterns: annotations, ChatClient, and advisors
• Two example systems: single-agent travel assistant and multi-agent intelligent document processing platform
• AgentCore runtime provides managed infrastructure: memory, browser automation, code execution, and identity management
• Production patterns include resilience (Resilience4j), security (IAM, OAuth 2.0), guardrails, and observability
• Router, evaluator, and parallel fan-out patterns coordinate multiple specialist agents
• Rules engine in YAML enables business logic without code changes
• Deploy as ARM64 container to AgentCore runtime or Amazon EKS with identical image

Java teams can build production-quality agents using established Spring patterns and infrastructure, avoiding the need to leave their ecosystem.