Build highly scalable serverless LangGraph multi-agent systems in AWS with Amazon Bedrock AgentCore
Machine Learning Blog
This article demonstrates how to build scalable serverless multi-agent AI systems using LangGraph, Amazon Bedrock AgentCore, and AWS services.
- Combines LangGraph orchestration with AWS Lambda and Step Functions for automatic scaling
- Implements multi-agent campaign review system with persona, validator, and finalizer agents
- Uses AgentCore Observability for detailed visibility into agent workflows and performance metrics
- Leverages AgentCore Memory for shared context and multi-turn conversation support
- Provides complete deployment guide using AWS SAM, Docker, and React frontend
- Enables deterministic coordination and parallel execution of complex agent workflows
The solution demonstrates a production-ready pattern for building enterprise-grade AI agents with structured orchestration, automatic scaling, and full operational transparency.
The AWS News Feed is currently looking for gold sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.
Related articles
Apr 14
2025
2025
Build multi-agent systems with LangGraph and Amazon Bedrock
Jun 1
2026
2026
AgentOps: Operationalize agentic AI at scale with Amazon Bedrock AgentCore
Mar 6
2025
2025
Build a Multi-Agent System with LangGraph and Mistral on AWS
Jan 23
2026
2026
Build AI agents with Amazon Bedrock AgentCore using AWS CloudFormation
The AWS News Feed is currently looking for silver sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.