AWS ML BlogWednesday · May 27, 2026FREEBuild highly scalable serverless LangGraph multi-agent systems in AWS with Amazon Bedrock AgentCore
AWS published a blog post detailing a solution to build highly scalable, serverless multi-agent generative AI systems using LangGraph Agents as orchestrators, integrated with Amazon Bedrock AgentCore Memory and Amazon Bedrock AgentCore Observability. The approach leverages LangGraph's graph-based agent orchestration to manage complex multi-step tasks, while Bedrock AgentCore provides managed memory for state persistence and observability for monitoring and debugging. This combination allows developers to create sophisticated AI agents that can maintain context across interactions and be monitored in production. The solution is designed to run on AWS serverless infrastructure, eliminating the need for manual scaling or server management. The blog includes architectural patterns and code examples for implementing multi-agent systems, such as a customer support scenario with specialized agents. This is particularly relevant for developers building complex AI applications that require coordination between multiple AI agents, as it provides a managed, scalable foundation.
Simplifies building and scaling complex multi-agent AI systems on AWS.