Amazon Bedrock AgentCore: Bringing Production-Ready AI Agents to Life
The landscape of artificial intelligence is rapidly evolving, and at the forefront of this transformation is the advent of sophisticated AI agents. Moving these agents from the experimental phase to robust, production-ready applications has been a significant challenge. Recognizing this, Amazon Web Services (AWS) has made its Amazon Bedrock AgentCore generally available, offering a comprehensive solution designed to accelerate the development, deployment, and operation of AI agents.
AgentCore: Expediting Agent Deployment
AgentCore is engineered to enable developers to quickly transition AI agents from pilot programs to full-scale production. It provides a complete foundation for building, deploying, and managing agents, allowing them to be equipped with essential tools, memory capabilities, and access to data for handling complex workflows. Deployment is streamlined, requiring just a few lines of code and leveraging one of the most secure and scalable runtimes available. Furthermore, AgentCore offers the necessary controls and access management for enterprise-grade deployments, all without the burden of infrastructure management. Getting started is straightforward, supporting a wide array of models and agent frameworks.
The AgentCore SDK has garnered significant traction, with over a million downloads from customers across various industries and sizes. Prominent early adopters include Clearwater Analytics, Cox Automotive, Druva, Ericsson, Experian, Heroku, National Australia Bank, Sony, and Thomson Reuters. The platform also benefits from the support of AWS Partners such as Accenture, Cisco, Deloitte, and Salesforce, who are instrumental in delivering transformative results for their clients.
A Comprehensive Platform for Agentic Development
Building effective AI agents traditionally involves complex integration with identity providers, memory systems, observability tools, and various external services. AgentCore addresses these complexities by offering a fully managed platform that spans the entire agent development lifecycle, from initial build to ongoing operation. This composable approach allows organizations to select and combine AgentCore services as needed, providing maximum flexibility. Developers can utilize their preferred frameworks, including CrewAI, Google ADK, LangGraph, LlamaIndex, OpenAI Agents SDK, and Strands Agents, and choose from models available on Amazon Bedrock or external providers like OpenAI and Gemini.
Foundational Tools for Agent Success
AI agents derive their value from their ability to perform concrete actions, such as executing code, interacting with company systems, and navigating the web. AgentCore provides critical services to enable these capabilities:
- AgentCore Code Interpreter: This service allows agents to securely generate and execute code within isolated environments, ensuring safety and preventing unintended consequences.
- AgentCore Browser: Enables agents to interact with web applications at scale, facilitating tasks that require web navigation and data extraction.
- AgentCore Gateway: Transforms existing APIs and AWS Lambda functions into agent-compatible tools. It also connects to existing MCP servers and integrates seamlessly with essential third-party business tools and services like Jira, Asana, and Zendesk, acting as a unified access point for secure enterprise system integration.
- AgentCore Identity: This component ensures that agents can securely access and operate across these integrated tools with proper authentication and authorization, leveraging OAuth standards.
Context-Aware Agents with Intelligent Memory
For AI agents to be truly effective, they must maintain context and learn from interactions over time. AgentCore Memory assists developers in creating sophisticated, context-aware experiences. This feature allows agents to remember crucial details from previous conversations, such as customer industry, budget constraints, or technical requirements, thereby eliminating repetitive questions and delivering increasingly personalized recommendations. For instance, a sales support agent can recall a customer's specific needs across multiple interactions, or a technical support agent can remember past troubleshooting steps to provide more targeted solutions. This capability is achieved without the need for developers to manage complex memory infrastructure, enabling agents to build a detailed understanding of user preferences and historical interactions.
Industry-Leading Reliability at Any Scale
Agent workloads can be inherently unpredictable in duration, unlike traditional applications. AgentCore Runtime is designed to handle this variability by automatically scaling from zero to thousands of concurrent sessions as demand fluctuates. It also offers an industry-leading runtime of up to eight hours for long-running tasks, ensuring that complex processes can be completed without interruption.
Enterprise-Grade Agent Security
Given that agents often access multiple systems and handle sensitive data, robust security and regulatory compliance are paramount. AgentCore embeds security across all its services to ensure agents operate safely. It supports virtual private cloud (VPC) environments and AWS PrivateLink to maintain network traffic privacy and security. Crucially, AgentCore Runtime employs microVM technology, providing each agent session with its own isolated computing environment. This isolation is key to preventing data leaks and maintaining the integrity of every interaction, offering industry-leading security.
AgentCore: Where Speed, Scale, and Security Converge
AgentCore simplifies the creation of production-ready agents through its MCP server, which integrates with popular IDEs like Kiro and Cursor AI. While getting started takes only minutes, the solutions provided are full-featured and production-ready, capable of scaling immediately from zero to thousands of sessions while upholding robust security standards. This allows teams to confidently move from concept to deployment, assured that their agents are built on a proven and secure foundation.
Making the Promise of AI Agents a Reality: Customer Stories
Pioneering organizations across various sectors are demonstrating the power of AgentCore. From Cohere Health's regulated healthcare environment to Ericsson's complex technical systems and Sony's global transformation initiatives, AgentCore is fueling the next wave of AI innovation.
Transforming Manufacturing with Intelligent Workflow Automation
The Amazon Devices Operations & Supply Chain team is pioneering an agentic manufacturing approach. AI agents collaborate using product specifications to automate manual processes. For example, one agent interprets product requirements to generate detailed test procedures for quality control, while another trains vision systems for robots on the manufacturing line. This has dramatically reduced the time required to fine-tune an object detection model, from days to under an hour, with high precision. This initiative represents the beginning of a vision for smarter manufacturing where AI agents streamline the entire product lifecycle.
Accelerating Healthcare Decisions with Agents
In healthcare, efficiency is critical. Cohere Health, a clinical intelligence company, is using AgentCore to enhance payer-provider collaboration and improve the speed and accuracy of clinical decision-making. Their AI-powered copilot, Cohere Review Resolve™, analyzes both structured and unstructured clinical data to validate the medical necessity of treatments. Cohere Health selected AgentCore for its enterprise-grade infrastructure, comprehensive audit trails, extended session support, and ability to maintain history throughout complex workflows, essential for a highly regulated healthcare environment. They anticipate Review Resolve™ will reduce review times by 30-40%, accelerating patient care access and improving outcomes.
Agents in Telecommunications: Simplifying Complex Systems
Ericsson, a leader in telecommunications, is leveraging AgentCore to address the complexities of deploying agents within its vast 3G/4G/5G/6G systems. AgentCore enables the fusion of data and information to deliver AI agents with unprecedented capabilities in R&D, leading to significant workforce gains. The flexibility to use any agent framework is crucial for scaling across numerous teams and use cases.
Agents in Entertainment: Achieving Security, Observability, and Scalability
Sony Group is utilizing AgentCore to build a group-wide Agentic AI Platform. This platform achieves enterprise-level security, observability, and scalability, along with seamless cross-platform connectivity to AI resources. By placing AgentCore at the core of its AI ecosystem, Sony can govern and share AI resources effectively, accelerating its AI transformation with confidence and security.
Amazon Bedrock AgentCore is establishing itself as a foundational element for the AI agent era, providing organizations with the tools and infrastructure needed to build intelligent, secure, and scalable AI agents that drive real-world business value.
AI Summary
Amazon Bedrock AgentCore, now generally available, empowers developers to transition AI agents from pilot stages to full-scale production environments. This comprehensive platform provides the essential foundation for building, deploying, and operating agents, allowing them to be equipped with tools, memory, and data to manage intricate workflows. Agents can be deployed with minimal code on a secure and scalable runtime, with enterprise-grade controls and access management. AgentCore eliminates infrastructure management and supports a wide choice of models and agent frameworks. The AgentCore SDK has seen over a million downloads, indicating significant customer adoption across various industries. Early adopters include Clearwater Analytics, Cox Automotive, Ericsson, Sony, and Thomson Reuters, with support from AWS Partners like Accenture, Deloitte, and Salesforce. The platform's core capabilities are designed to streamline the agent development lifecycle. Developers can build agents using composable services that integrate with preferred frameworks such as CrewAI, LangGraph, and LlamaIndex, and models available on Amazon Bedrock or external providers like OpenAI and Gemini. Foundational tools for agent success include AgentCore Code Interpreter for secure code execution, AgentCore Browser for web interaction, and AgentCore Gateway for transforming APIs and Lambda functions into agent-compatible tools. AgentCore Identity ensures secure access and operation across these tools using OAuth standards. Context-aware agents are facilitated by AgentCore Memory, which helps maintain conversation history and user preferences without complex infrastructure management. For reliability, AgentCore Runtime offers automatic scaling from zero to thousands of sessions and an eight-hour runtime for long tasks. Security is paramount, with support for VPC environments, AWS PrivateLink, and microVM technology for isolated agent sessions. AgentCore simplifies the path to production-ready agents through its MCP server and IDE integrations, allowing rapid scaling from zero to thousands of sessions with robust security. Customer stories from industries like manufacturing, healthcare, telecommunications, and entertainment highlight AgentCore's transformative impact. For instance, the Amazon Devices Operations & Supply Chain team uses it to automate manufacturing processes, reducing model fine-tuning time significantly. Cohere Health leverages AgentCore for its AI-powered copilot, Cohere Review Resolve™, to optimize medical necessity reviews in healthcare, expecting substantial reductions in review times. Ericsson utilizes AgentCore to manage complex telecommunications systems, achieving unprecedented AI agent capabilities. Sony Group employs AgentCore to build a group-wide Agentic AI Platform, ensuring enterprise-level security, observability, and scalability. AgentCore is built on AWS's extensive experience in helping companies transform securely at a global scale, positioning it as a foundational element for the AI agent era.