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AgentCore

Building blocks to run agents in production, from any framework and any model. Each piece is adopted on its own and billed on what it uses.

How it fits

The agent runs in Runtime. Tools go through one Gateway.

User or appsigns in with your IdPOAuth / JWTAMAZON BEDROCK AGENTCOREIdentityinbound auth, outbound OAuthRuntimeone microVM per sessionGateway + Policyyour APIs and MCP servers as tools, checked per callMemory · Code Interpreter · BrowserLambda functionsOpenAPI, internal APIsMCP serverstraces + metrics → CloudWatch · Evaluations score live sessions

MCP is the protocol agents use to call tools. A microVM is a small virtual machine isolated from every other session.

Any framework, any model

AgentCore runs the agent you already wrote.

Frameworks

Strands, LangGraph, CrewAI

The same Runtime, Gateway and Identity behind each framework. The agent code stays yours.

Models

Bedrock or elsewhere

Models are called from your agent code, inside or outside Bedrock. Tokens are billed by the model provider.

Adoption

One piece at a time

Already running agents on your own containers? Start with Gateway, Identity or Observability alone.

The three choices that matter

What decides whether it holds in production.

01

How sessions run

Runtime bills the CPU and memory a session actually uses. CPU stops billing while the agent waits on a model or a tool.

02

Which tools, for whom

Put tools behind one Gateway, decide per tool who may call it, and let the agent act with the user's credentials instead of a shared key.

03

How much to evaluate

Online evaluation scores a share of live sessions. A small sample usually shows drift and keeps evaluation tokens in check.

The evaluation bars are illustrative shapes, not prices.

What you pay

An AgentCore bill, in one line.

Model tokens
billed by the provider
Usually the largest line, outside AgentCore
+
Runtime
vCPU + GB, per second
Only what each session uses
+
Gateway
per tool call
About $0.005 per 1,000 calls
+
Memory, evaluations
per use
Records stored and retrieved, sessions scored
+
Logs
CloudWatch
Traces and metrics, on your account
What we see in production
Optimising AgentCore while tokens drive the cost.Prompts and model choice usually matter more.
Agents that list every tool on every turn.Semantic tool search keeps prompts short as the catalogue grows.
Full traces kept for every session at scale.CloudWatch ingestion lands on your bill; sample and set retention.
How we help

Agentic Platform Foundation

Platform engineering for agents: one foundation, so each team ships its use case faster.

Read the approach →
PDF · coming soon

The one-page AgentCore field guide.

Best practices, cost traps and performance checks, in the order you should run them. Printable, no fluff.

One email when the PDF is ready. Nothing else unless you tick the box.