Amazon Bedrock AgentCore is a managed AWS platform for building, deploying, operating, and improving AI agents and agent based applications. It provides modular infrastructure for agent runtimes, tools, memory, identity, gateways, browser access, code execution, observability, evaluations, and polic
Managed agent runtime and isolated execution
Tool gateway, identity, and policy controls
Memory, browser, and code execution services
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About
Amazon Bedrock AgentCore is a managed AWS platform for building, deploying, operating, and improving AI agents and agent based applications. It provides modular infrastructure for agent runtimes, tools, memory, identity, gateways, browser access, code execution, observability, evaluations, and policy controls. Rather than being a general purpose chatbot, AgentCore is aimed at developers who need production infrastructure around agents and want those capabilities integrated with the wider AWS environment.
Teams can use AgentCore to run agents in managed sandboxes, connect tools and APIs through a gateway, preserve short term and long term memory, provide browser and code execution capabilities, and observe agent behavior in production. Its evaluation and optimization features can help teams analyze traces, test configurations, and improve deployed agents. The modular design means developers can adopt individual capabilities instead of having to use every service together.
Its main differentiator is the breadth of managed infrastructure around the agent lifecycle. Runtime, memory, identity, policy, gateway, browser, code interpreter, observability, evaluation, and optimization are offered as connected services rather than a single agent interface. Pricing is consumption based and underlying AWS resources can create additional costs, so teams should model usage carefully. AgentCore is primarily infrastructure for developers and organizations rather than a ready made end user assistant.
For FutureStack, Amazon Bedrock AgentCore belongs in Developer Tools because its primary buyer intent is building and operating production AI agents. It is best suited to engineering teams that need managed runtime, security, tool connectivity, memory, evaluation, and observability for agent applications inside AWS or connected environments.
Use Cases
Production agent runtime
Deploy AI agents in managed environments designed for production workloads.
Tool and API access
Connect agents to tools, APIs, and services through managed gateways and identity controls.
Agent memory
Add short-term and long-term memory to agent applications that need continuity across interactions.
Agent observability
Trace, evaluate, and monitor agent behavior to diagnose failures and improve production workflows.
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Pricing summary
Amazon Bedrock AgentCore uses consumption based AWS pricing with no upfront commitment. Individual services such as runtime, gateway, memory, browser, code execution, and evaluations are billed according to usage and underlying AWS resources.
Pricing & Plans
Popular
Usage Based
Pay for AgentCore capabilities as you use them.
Custom
Consumption based billing
Modular services
Production agent runtime
Usage based infrastructure
AWS Free Credits
Start with available AWS credits when eligible.
Free
Eligible AWS credits
AgentCore access
No fixed subscription
Usage still applies
Enterprise
Scale agent infrastructure across AWS environments.
Custom
Enterprise AWS setup
Security controls
Operational governance
Scalable infrastructure
Other pricing notes
Pricing checked on 2026-08-22 from the official AWS AgentCore pricing page.
Billing is consumption based and individual AgentCore capabilities can be used independently.
AWS storage, network, CloudWatch, model, and other connected service charges may apply separately.