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AWS accelerates agentic AI adoption with production-ready tools at NYC Summit

AWS just rolled out a pretty hefty upgrade to their agentic AI toolkit at the 2025 Summit in New York, and, honestly, it’s a major shift. Forget the “neat proof-of-concept” era; AWS is gunning for enterprise production, no more excuses.

Amazon launched the Bedrock Agent Core as seven interlinked services focused on production-grade stability. You’ve got serverless runtimes for agent execution, multi-layered memory architecture (so context retention isn’t a joke anymore), serious security for both identity and code, browser-based agent tools, API integration, and, yeah, robust observability for tracking what your agents are actually doing. It’s the foundation you need if you’re serious about agent deployment—not just tinkering in a sandbox.

Nova Act is another highlight—a browser automation agent that clocks over 90% task completion in real, complex workflows. It’s handling dynamic forms and web tasks that usually chew up lesser bots. And for developers, the Kiro IDE preview drops natural language into the workflow, converting requirements straight into code, tests, and docs. That’s a solid productivity boost, cutting down the manual overhead.

AWS has clearly moved beyond isolated experiments. Enterprises want scalable, secure AI agents that don’t require babysitting. S3 Vectors means native vector search inside S3, so you’re not burning cash on external vector databases. And with the AWS Marketplace stacking up pre-built agent solutions, rapid deployment is actually feasible.

By delivering real runtime environments with checkpoints, hierarchical memory, and browser isolation, AWS is patching the gaps that have held back agentic AI from real adoption. They’re basically enabling agents to scale across a bunch of use cases—automated support, backend process management, the whole nine yards.

The takeaway? AWS is bringing agentic AI into production mode. This has evolved beyond a lab experiment; AWS designed the infrastructure to handle real-world enterprise demands. Get ready, because intelligent agents are now officially part of the core stack.

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