Build highly scalable serverless LangGraph multi-agent systems in AWS with Amazon Bedrock AgentCore | Amazon Web Services
Generative AI has rapidly evolved from experimental prototypes into systems that are expected to operate reliably in production, at scale, and under real-world performance constraints. As organizations move beyond demos and proofs of concept, they increasingly encounter challenges related to inference latency, scalability, state management, and operational visibility. Building high-performance AI agents today requires more than powerful models and demands an implementation that can deliver consistent performance, preserve context across interactions, and provide deep observability into how agents reason and behave in production.
In this post, we provide a solution to build highly scalable, serverless multi-agent generative AI systems on AWS using LangGraph Agents as orchestrators integrated with Amazon Bedrock AgentCore Memory and Amazon Bedrock AgentCore Observability.
Our approach for building highly scalable serverless multi-agent orchestrations combines serverless technologies such as AWS Lambda and AWS Step Functions. These services can be used by developers to build LangGraph agents that...
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