Amazon Bedrock AgentCore
Overview
Modular AWS platform for deploying, enhancing, and monitoring AI agents securely at scale.
Best For Professions:
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.
Product overview
Capabilities, pricing and fit
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.
Information as of August 30, 2026
What it can do
- Framework- and model-flexible runtime
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]
- Managed agent services
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]
- Enterprise tool governance
Gateway and identity features expose APIs or MCP-compatible tools to agents while centralizing authentication, permissions, policy, and audit context.[1]
Where it fits best
Pricing and availability
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]
Access: AWS-managed AgentCore services, Custom agent containers on AgentCore Runtime[1], [2]
Important considerations
- AgentCore does not provide the finished agent or model by itself; teams still choose or build the agent logic, model, tools, permissions, and surrounding application.[1]
- Runtime, browser, code interpreter, gateway, memory, evaluations, CloudWatch observability, model inference, storage, and network usage can be billed separately.[3]
- Default service quotas are often Region-specific, and some increases require an AWS Support request.[4]
Sources (4)
- What is Amazon Bedrock AgentCore?Documentation · checked 2026-08-30
- Amazon Bedrock AgentCore DocumentationDocumentation · checked 2026-08-30
- Amazon Bedrock AgentCore PricingPricing page · checked 2026-08-30
- Quotas for Amazon Bedrock AgentCoreDocumentation · checked 2026-08-30
Autonomy level
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.
Comparisons
Custom Comparisons
Some of the use cases of Amazon Bedrock AgentCore:
- Deploying AI agents with secure, serverless infrastructure and session isolation.
- Adding persistent short‑ and long‑term memory for context-aware agent conversations.
- Integrating external APIs, AWS services, or Lambda functions as agent tools via Gateway.
- Enabling agents to automate web-based workflows through a managed browser runtime.
- Allowing agents to execute code securely in sandbox environments via Code Interpreter.
- Monitoring and auditing agent activity with observability dashboards and logs.
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