
Amazon Bedrock AgentCore supplies infrastructure for building, connecting and operating production AI agents.
Amazon Bedrock AgentCore supplies infrastructure for building, connecting and operating production AI agents.
Runtime, tool access, identity, memory, observability and evaluation services support agents built with different frameworks and models. Application logic and business permissions remain the developer’s responsibility.
An AWS account, IAM configuration and a deployed agent are required. Teams configure services and policies and test how tools and data are accessed.
Usage is metered by component. For example, v1 runtime CPU is $0.0895 per vCPU-hour and memory is $0.00945 per GB-hour; model, logs and other selected services add charges.
AgentCore supports MCP servers, internal APIs, Lambda functions and multiple agent frameworks. Authentication and policy controls govern the configured connections.
Choose AgentCore when you need managed AWS infrastructure for your own agents rather than a ready-made end-user assistant.
Product overview
Amazon Bedrock AgentCore supplies infrastructure for building, connecting and operating production AI agents.
Information as of August 30, 2026
Runtime, tool access, identity, memory, observability and evaluation services support agents built with different frameworks and models. Application logic and business permissions remain the developer’s responsibility.[1], [2]
AgentCore provides managed runtime, memory, tool access and operational services for configured agents. Developers supply agent logic, models, credentials and policies and retain responsibility for testing and business approvals. This rating describes the substantial execution those deployed agents can support, not an independently acting infrastructure platform.[1], [2]
Usage is metered by component. For example, v1 runtime CPU is $0.0895 per vCPU-hour and memory is $0.00945 per GB-hour; model, logs and other selected services add charges.[1], [2]
Platforms: Product-specific access[1], [2]
Access: An AWS account, IAM configuration and a deployed agent are required. Teams configure services and policies and test how tools and data are accessed.[1], [2]
86/100
Our subjective rating of how independently the product carries out its documented tasks, considering the human setup, input, approval and review it needs. This is not a measured success rate.
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For ai agent infrastructure teams
Exploring Amazon Bedrock AgentCore? For AI agent infrastructure teams, your own AI agent can investigate execution failures, improve shared agent services, and verify platform releases. Start with a setup tailored to this work.
Tailored starting setup. Chat on our site. See the workflow and monthly plan.