About This Architecture

Multi-plane AWS architecture orchestrating Bedrock AI agents across supervisor, intelligent, and homologation runtimes with integrated knowledge bases and on-premises SQL Server connectivity. Agent Orchestration (Plane 1) manages three independent Bedrock AgentCore runtimes, each with dedicated memory stores and OAuth2 identity, while Knowledge (Plane 2) layers RAG via Bedrock Knowledge Base, S3 vector indexes, and foundation models. Integration and Data (Plane 3) connects on-premises SQL Server through Lambda functions, EventBridge scheduling, and Secrets Manager, with results persisted to S3. Identity, Repositories, and CI/CD (Plane 4) provides Cognito pools, ECR registries with scan-on-push, CodeCommit repositories, and IAM roles for least-privilege access. This architecture demonstrates enterprise-grade agent deployment with observability via CloudWatch Logs and X-Ray, infrastructure-as-code via Terraform, and secure credential management. Fork this diagram to customize agent configurations, add additional knowledge sources, or adapt the integration layer for your data sources. The 30-day memory expiry and MCP gateway (production-only) reflect best practices for stateful agent lifecycle and secure external access.

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How do you architect a production Bedrock multi-agent system with RAG, on-premises data integration, and enterprise identity management on AWS?

This diagram shows a four-plane architecture: Plane 1 orchestrates three independent Bedrock AgentCore runtimes (supervisor, intelligent, homologation) with OAuth2 identity and 30-day memory expiry; Plane 2 layers RAG via Bedrock Knowledge Base, S3 vector indexes, and foundation models; Plane 3 integrates on-premises SQL Server through Lambda, EventBridge scheduling, and Secrets Manager; Plane 4 p