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AWS Expands Bedrock AgentCore as Agent Knowledge Retrieval Becomes Managed Infrastructure

AWS announced Managed Knowledge Base, Web Search on AgentCore and AgentCore harness general availability on June 17, 2026.

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AWS Expands Bedrock AgentCore as Agent Knowledge Retrieval Becomes Managed Infrastructure

Key takeaways

AWS announced several Amazon Bedrock AgentCore updates at AWS Summit New York on June 17, 2026. The releases include Managed Knowledge Base, Web Search on AgentCore, AgentCore harness general availability, policy integrations and optimization capabilities, showing that production AI agents are becoming managed infrastructure around knowledge, execution and governance.

AWS announced new Amazon Bedrock AgentCore capabilities on June 17, 2026.
Managed Knowledge Base packages enterprise RAG infrastructure into a managed capability.
Web Search on AgentCore gives agents current web grounding while keeping queries inside the AWS environment.
AgentCore harness is generally available and wraps runtime, memory, identity, observability and tool access.
The update shows production AI agents shifting toward governed knowledge and execution infrastructure.

AWS announced multiple Amazon Bedrock AgentCore updates during AWS Summit New York on June 17, 2026. The main releases include Amazon Bedrock Managed Knowledge Base, Web Search on AgentCore, AgentCore harness general availability and new policy and optimization capabilities.

Managed Knowledge Base is designed to reduce the work required to build enterprise RAG pipelines. It brings together connectors, parsing, storage, retrieval, embeddings, reranking and model selection as a managed capability. Web Search on AgentCore lets agents retrieve current web information inside the AWS environment and return source URLs, snippets, titles and publication dates.

For ENHE AI readers, the practical lesson is that agent selection should include knowledge access, source traceability, permission controls, account isolation, observability, cost management and recovery options. Production AI agents are becoming infrastructure, not just model prompts.

What this means for everyday users

ENHE users should use this as an AI agent platform checklist. Cloud, local and workflow automation tools should be evaluated by source traceability, knowledge connectors, tool permissions, account security, observability, cost controls and failure recovery.

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Summary

Amazon Bedrock AgentCore's new capabilities show that production AI agents need managed knowledge, execution, governance and optimization infrastructure, not only stronger models.

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