AWS Releases Seven-Layer Pluggable Enterprise Agent Reference Architecture
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On November 10, 2026, AWS published the Pluggable Agentic AI Framework on its Machine Learning Blog, an enterprise-grade Agentic AI reference architecture running on top of Amazon Bedrock AgentCore. The framework organizes multi-agent applications into seven layers: data and knowledge, models and inference, orchestration, security and guardrails, applications, observability, and agentic operations. The layers interact through stable contracts, enabling pluggable replacement—enterprises can swap the implementation of one layer while keeping the overall architecture unchanged. The report comes only from the AWS official blog as a first-hand source; the framework is at its release stage, with no reports yet on subsequent adoption, performance evaluations, or third-party feedback.
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- AWS Machine Learning BlogPluggable Agentic AI Framework: A seven-layer composable enterprise agentic AI reference architecture on Amazon Bedrock AgentCore
AWS has launched the Pluggable Agentic AI Framework on Amazon Bedrock AgentCore, organizing multi-agent applications into seven layers: data and knowledge, models and inference, orchestration, security and guardrails, application, observability, and agentic operations, with each layer pluggable via stable contracts.
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