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Technical Architecture Guide
Summary
This article explains how to use Amazon S3 Files to orchestrate multi-agent AI architectures by providing a shared POSIX file system for agent handoffs. This approach uses files as persistent working memory to avoid the high costs and quality degradation associated with excessively large prompts.
Highlights
- Multi-agent systems use files as working memory to bypass context window limits and reduce prompt inflation.
- Amazon S3 Files provides POSIX semantics, allowing agents to use standard file operations like open() and write() instead of complex API calls.
- The architecture supports seamless integration across various AWS services including Lambda, EC2, EKS, and Bedrock AgentCore Runtime.
- Workflow automation is driven by S3 event notifications and SQS to trigger agents when new data arrives.
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Context
Audience
Cloud Architects and AI Engineers
DomainCloud Computing and AI Orchestration
Formatlong-form article
Accessfree online
Topics
Related
Amazon BedrockAmazon S3AWS LambdaMulti-Agent AIPOSIX File Systems