
Modular AWS platform for deploying, enhancing, and monitoring AI agents securely at scale.
Amazon Bedrock AgentCore is a modular suite of AWS services providing secure, scalable deployment and operations for AI agents. It offers Runtime for serverless agent execution with session isolation and long-running support, Memory for context-aware agents, Identity for secure access, Gateway to convert APIs into agent-ready tools, Browser for managed web automation, Code Interpreter for sandboxed code execution, and Observability for tracing and debugging workflows. AgentCore supports any open-source framework and any foundation model, inside or outside Bedrock, enabling developers to accelerate agents into production with enterprise-grade flexibility, security, and monitoring.
AI Agent Store research
Amazon Bedrock AgentCore is a managed AWS platform for building, deploying, securing, and operating agents with different frameworks and foundation models. It supplies runtime, memory, identity, gateway, browser, code-interpreter, observability, evaluation, and policy infrastructure; it is agent infrastructure rather than a ready-made end-user agent.
Last reviewed August 30, 2026
AgentCore can deploy and operate agents built with frameworks such as CrewAI, LangGraph, LlamaIndex, and Strands Agents and can work with different foundation models.[1]
Its modular services cover runtime, short- and long-term memory, workload identity, tool gateways, browser and code execution, policies, evaluations, and production observability.[1], [2]
Gateway and identity features expose APIs or MCP-compatible tools to agents while centralizing authentication, permissions, policy, and audit context.[1]
AgentCore is consumption-based with no upfront commitment or minimum fee. Current published examples include Runtime, Browser, and Code Interpreter at $0.0895 per vCPU-hour plus $0.00945 per GB-hour, with separate rates for Gateway, Memory, Web Search, Identity, Evaluations, Policy, CloudWatch, model inference, storage, and networking.[3]
Platforms: AWS Management Console, AWS APIs and SDKs, AgentCore CLI, Python SDK[1], [2]
Deployment: AWS-managed AgentCore services, Custom agent containers on AgentCore Runtime[1], [2]
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