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AWS Just Made AI Agents Ready for the Real World with AgentCore

4 min read.

Author

Midas AI Research
July 17, 2025

At the AWS Summit in New York, Amazon dropped one of its boldest moves yet.
AgentCore is here. And it is not just another toolkit.

It is the missing infrastructure that lets developers finally launch AI agents into secure, enterprise scale production without duct tape.

Built for open source. Designed for scale. Already in use by global brands.

If you are building with agents, this changes the game.

Let’s break it down.

🔧 What AgentCore Really Offers

AWS has introduced Amazon Bedrock AgentCore, a suite built to help developers deploy and operate AI agents securely and reliably. It targets one of the toughest gaps in AI today, moving from prototype to production without reinventing the stack.

AgentCore includes secure runtime, long session memory, identity support, observability, and tools like code interpreters and headless browsers. It works with any model or framework, including popular open tools like Lang Graph and Crew AI.

AgentCore also supports complex asynchronous tasks. You can run multi hour sessions while preserving full context and isolating user data. This makes it one of the most production ready agent platforms available today.

Major partners including Itaú Unibanco, Box, and Boomi are already piloting real world use cases with it. AWS is also expanding its AI Agents Marketplace, giving developers access to over 800 prebuilt agents, workflows, and accelerators.

To push adoption further, AWS is doubling investment in its Generative AI Innovation Center and providing new partner tracks for service providers.

🧠 Why This Matters

AgentCore is not just another developer tool. It is a bridge to help the entire enterprise ecosystem deploy useful, safe, and compliant agents.

If you build software, you can skip the glue code and start with infrastructure that just works. If you lead product or IT, you now have guardrails for running agents inside your stack with real user data. If you consult or build services, the Marketplace and AWS partner push give you a faster path to revenue. If you work in open source, AgentCore makes it easy to scale without going proprietary.

✅ What It Solves

Challenge

How AgentCore Helps

Sessions fail or time out

Stable long running runtime with isolation

Agents forget past context

Built in short and long term memory

Risky identity flows

Connects with Okta, Cognito, Microsoft Entra

Hard to debug agent behavior

Cloud Watch and Open Telemetry observability

Fragmented third party tools

Unified Marketplace with curated agent modules

⚠️ What to Know Before You Ship

The AgentCore preview is only available in select AWS regions such as Virginia, Oregon, Sydney, and Frankfurt. Usage based pricing means you need to monitor task duration and logging volume to avoid surprises. Some features require integration with your company’s identity and compliance stack to meet enterprise deployment standards.

🧭 Where to Start

You can begin by testing the preview in your AWS region. Build a prototype using the agents and workflows available in the Marketplace. Add memory, logging, and observability tools with simple configurations. When ready, prepare to scale through the AWS partner programs, which are designed to accelerate co selling and support full production rollout.

If you are serious about building AI into real products, AgentCore just made your job a lot easier.

🗞️ Sources