New in Amazon Bedrock AgentCore: Build agents with broader knowledge and continuous learning | Amazon Web Services

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The models powering today’s agents are remarkably capable. They can reason across complex problems, plan multi-step workflows, and generate nuanced responses. But most agents are operating well below that potential. The gap isn’t intelligence. It’s access to the right context and feedback.

A customer service agent tasked with answering a question about your company’s refund policy can’t help if it can’t reach the document in SharePoint where that policy lives. A research agent building a market brief delivers an incomplete picture if it can’t access current information beyond its training data. A financial advisor agent returns a second-best recommendation if the real-time market data it needs sits behind a paywall it can’t get through. And across all of these, most teams have no systematic way to know whether their agents are getting better or worse once deployed.

A capable model is only the starting point. What makes an agent perform...

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