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Cloud giant Amazon Web Services (AWS) believes AI agents will change how we all work and interact with information, and that enterprises need a platform that allows them to build and deploy agents at scale — all in one place.
Today at its New York Summit, AWS unveiled Amazon Bedrock AgentCore, a new enterprise-grade platform designed to build, deploy, and operate AI agents securely and at scale.
Swami Sivasubramanian, AWS Vice President of Agentic AI, said during the keynote that AgentCore “helps organizations move beyond experiments to production-ready agent systems that can be trusted with your most critical business processes.”
AgentCore is a modular stack of services—available in preview—that gives developers the core infrastructure needed to move AI agents from prototype to production, including runtime, memory, identity, observability, API integration, and tools for web browsing and code execution.
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“We believe that agents are going to fundamentally change how we use tools and the internet,” said Deepak Singh, AWS Vice President of Databases and AI. “The line between an agent and an application is getting blurrier.”
AgentCore builds on the existing Bedrock Agents framework, launched in late 2024, but dramatically expands capabilities by supporting any agent framework or foundation model—not just those hosted within Bedrock.
That includes compatibility with open-source toolkits like CrewAI, LangChain, LlamaIndex, LangGraph, and AWS’s own Strands Agents SDK.
What AWS Bedrock AgentCore includes
AgentCore Runtime: A serverless, low-latency execution environment that supports multimodal workloads and long-running sessions with session isolation.
AgentCore Memory: Long- and short-term memory services that let agents learn from past interactions and persist contextual knowledge across sessions.
AgentCore Identity: OAuth-based identity and access management, allowing agents to act on behalf of users across systems like GitHub, Slack, or Salesforce.
AgentCore Observability: Built-in dashboards, debugging, and telemetry tools with support for OpenTelemetry, LangSmith, and Datadog.
AgentCore Gateway: Converts internal APIs, Lambda functions, and third-party services into agent-compatible tools using the Model Context Protocol (MCP).
AgentCore Browser: Provides headless browser access for agents to autonomously interact with websites.
AgentCore Code In …