What is the benefit of the AgentCore Gateway?

The Gateway allows you to transform existing REST APIs and Lambda functions into tools that agents can discover and use via semantic search.

Do I need an AWS account to use this skill?

Yes, you need an active AWS account with Bedrock access enabled and appropriate IAM permissions for AgentCore services.

Can I use this with frameworks like LangGraph or CrewAI?

Absolutely. Bedrock AgentCore is framework-agnostic and is designed to host agents built with popular libraries like LangGraph, CrewAI, Autogen, or Strands.

What is Bedrock AgentCore?

Bedrock AgentCore is an AWS platform for building, deploying, and operating production-grade AI agents with managed infrastructure, security, and specialized runtimes.

How does the Code Interpreter ensure security?

The Code Interpreter executes code in a secure, sandboxed environment that is isolated per session, making it safe for data analysis and visualization tasks.

Amazon Bedrock AgentCore

Name: Amazon Bedrock AgentCore
Author: adaptationio

byadaptationio

Cloud Infrastructure

Deploys and operates production-ready AI agents on AWS using framework-agnostic infrastructure primitives.

About

Amazon Bedrock AgentCore provides a fully managed environment for building, scaling, and operating AI agents without the burden of infrastructure management. This skill enables developers to leverage enterprise-grade security, session isolation, and specialized runtimes like Browser and Code Interpreter within Claude Code. Whether you are using LangGraph, CrewAI, or custom frameworks, AgentCore provides the necessary primitives—including a tool gateway and identity integration—to transform experimental agents into secure, production-grade applications on AWS.

Key Features

Secure session isolation and enterprise-grade VPC/PrivateLink integration.
Sandboxed Code Interpreter for data analysis and Browser Runtime for web workflows.
Native integration with identity providers (OIDC) for secure workload access.
0 GitHub stars
Serverless deployment of AI agents with zero infrastructure management.
Gateway services to transform APIs and Lambda functions into discoverable tools.

Use Cases

Deploying framework-agnostic AI agents (LangGraph, CrewAI) to AWS production environments.
Building autonomous agents that require secure web browsing or sandboxed data analysis.
Creating enterprise-ready agent tools with semantic search and identity-aware access control.

About

Key Features

Secure session isolation and enterprise-grade VPC/PrivateLink integration.
Sandboxed Code Interpreter for data analysis and Browser Runtime for web workflows.
Native integration with identity providers (OIDC) for secure workload access.
0 GitHub stars
Serverless deployment of AI agents with zero infrastructure management.
Gateway services to transform APIs and Lambda functions into discoverable tools.

Use Cases

Deploying framework-agnostic AI agents (LangGraph, CrewAI) to AWS production environments.
Building autonomous agents that require secure web browsing or sandboxed data analysis.
Creating enterprise-ready agent tools with semantic search and identity-aware access control.