Amazon Bedrock AgentCore GA: Building Production-Ready AI Agents at Enterprise Scale

Back in July, AWS announced Amazon Bedrock AgentCore, a collection of integrated services designed for developing, deploying, and operating AI agents securely at scale. The launch in July was a preview, tailored to customers and partners developing at the leading edge. To Amazon's credit, their customer and partner obsession is incredibly influential as they launch and iterate on services. 

Mission quickly engaged with AWS, put AgentCore through its paces, and shared our feedback.

Just weeks ago, Amazon Bedrock AgentCore hit GA, offering customers and partners alike an enterprise-grade foundation for putting AI agents in production. It is clear that AWS has maximized the preview period, getting the solution into the hands of its trusted partners and customers quickly, and then rapidly adapting and tuning the service to make it rock solid.

Generation One AI Workloads

Agentic AI is a fundamental shift from "generation one" AI workloads, which were often focused on content-oriented activities (knowledge base retrieval, summarization, pattern-based composition, IDP, etc). While RAG-based chatbots aren't going anywhere, their utility will be amplified massively, as the capability set of AI workloads expands from information to action. Instead of asking a chatbot to give you instructions, you can instruct the bot to execute actions using integrated agents.

Earlier this year, MIT released a now-infamous report that said 95% of generative AI projects failed to demonstrate measurable ROI. While the headline is shocking, digging into the report's actual findings made several things quite clear: 

(1) Generative AI is still a transformational technology; 

(2) Businesses failed to achieve success due to a lack of expertise, resulting in poor prioritization and execution;

(3) The use cases for "generation one" AI workloads were highly impactful but also relatively narrow, compounding the issues created by a lack of expertise.

Here's the good news. Agentic AI is "generation two," and the surface area of applicable use cases has increased exponentially. 

Generation Two: We have arrived!

Agents are software and prompts, not infrastructure or data science, and ultimately, agentic workloads look a lot like cloud workloads. Bedrock AgentCore covers all the bases: 

• Safe and performant managed runtime and sandboxed code execution environments
• First-class support for connectors using open standards like MCP and REST APIs
• Long-term agent memory management
• Deep integration with first and third-party identity and access management 
• Built-in observability for operations, debugging, and compliance

Examine that feature list, and you will hopefully see what I mean by my assertion that agents are software. Supporting "build, deploy, operate, iterate" is AWS' bread and butter, enabling builders to create custom applications and workloads, and Bedrock AgentCore's services can be compared to cloud services like ECS/Lambda, API Gateway, EventBridge, MemoryDB, IAM, and CloudWatch.

With broad applicability, transformational power, and a solid foundation to build on, I am anticipating big things from agentic AI on AWS in 2026. 

Interested in a conversation to dive deeper? Don't hesitate to reach out! I'm excited about what the future holds, and I am always game for exploring how cloud and AI can positively impact my customers.