Amazon Bedrock and Spring AI Enable Autonomous AI Agents for Java Teams
Source Amazon AWS Machine Learning blog

At a glance
This article explains how Java teams can use Amazon Bedrock and Spring AI to build AI agents that plan steps, call tools, and remember conversation context. It also notes that moving such agents from prototype to production is difficult.
Key points
Agents split a goal into steps and call outside tools such as APIs and databases.
Spring AI brings AI features to Java using patterns developers already know.
Amazon Bedrock AgentCore provides managed infrastructure to deploy and run agents, and it works with any framework or model.
The article covers two examples: a single travel assistant and a multi-agent document processing system.
Why it matters
It shows Java developers, who work on many enterprise systems, a practical way to build AI agents that can run in production with familiar tools.
Original article
Build autonomous AI agents with Amazon Bedrock and Spring AI
Amazon AWS Machine Learning blog · Nov 12, 2026, 10:18 AM GMT+9 · aws.amazon.com
Read on Amazon AWS Machine Learning blogAI read the original article and summarized it in plain language. It may contain mistakes, so please check the original for accuracy. The article's copyright belongs to Amazon AWS Machine Learning blog.