Build autonomous AI agents with Amazon Bedrock and Spring AI

According to AWS Machine Learning:

Building autonomous AI agents in enterprise Java environments has traditionally been challenging because standard agent frameworks fail to address scalability, security, and operational governance out of the box. According to Amazon, the integration of Spring AI with Amazon Bedrock and the AgentCore platform bridges this gap, allowing Java developers to use familiar idioms like dependency injection, auto-configuration, and composable advisors.

Core Capabilities

The solution demonstrates how AI moves beyond simple prompt-response interactions toward agents equipped with planning, tool use, and memory. The architecture outlines two main systems: a single-agent travel assistant for tool calling and memory, and a multi-agent intelligent document processing (IDP) platform. The IDP system utilizes specialized agents, a rules engine, and alerting to route and process documents securely.

Production Infrastructure

To prepare agents for production, Amazon Bedrock AgentCore provides managed runtime environments, conversation memory, and identity management. The system incorporates enterprise-grade security, Micrometer observability, and resiliency patterns like exponential backoff retries and circuit breakers, ensuring Java applications can transition smoothly from prototypes to secure production deployments.