How long does deployment take using this skill?

With AgentCore and this skill, you can move from local code to a production-ready deployment in under five minutes.

What is Amazon Bedrock AgentCore?

Amazon Bedrock AgentCore is a platform for building and operating production AI agents securely on AWS without managing infrastructure.

Does this skill work with frameworks like LangGraph or CrewAI?

Yes, Bedrock AgentCore is framework-agnostic and provides primitives that work with any popular open-source agent framework.

Can my agent execute code or browse the web?

Yes, the skill covers the AgentCore Browser Runtime for web workflows and the Code Interpreter for secure execution of data analysis tasks.

What are the security benefits of using AgentCore?

It provides complete session isolation, VPC and PrivateLink support, and native integration with identity providers like Okta.

Amazon Bedrock AgentCore

Name: Amazon Bedrock AgentCore
Author: adaptationio

byadaptationio

Cloud Infrastructure

Deploys and manages production-grade AI agents on AWS using the Bedrock AgentCore platform.

About

Amazon Bedrock AgentCore is a managed platform for building, deploying, and operating secure AI agents at scale without the need for infrastructure management. This skill empowers Claude to architect and implement agentic systems using framework-agnostic primitives that support LangGraph, CrewAI, and other popular libraries. By providing specialized guidance on AgentCore Runtime, Gateway, Browser, and Code Interpreter modules, this skill ensures your AI agents are built with enterprise-grade security, session isolation, and full observability within the AWS ecosystem.

Key Features

Deployment of session-isolated agent runtimes
Sandboxed code interpreter for secure data analysis and visualization
0 GitHub stars
Managed browser automation for complex web-based workflows
Semantic discovery of tools via the AgentCore Gateway
Enterprise identity integration with OAuth2 and workload identities

Use Cases

Automating web-based tasks using the managed Browser Runtime
Scaling prototype AI agents into production-ready AWS applications
Integrating existing Lambda functions and APIs as semantic tools for agents

About

Key Features

Deployment of session-isolated agent runtimes
Sandboxed code interpreter for secure data analysis and visualization
0 GitHub stars
Managed browser automation for complex web-based workflows
Semantic discovery of tools via the AgentCore Gateway
Enterprise identity integration with OAuth2 and workload identities

Use Cases

Automating web-based tasks using the managed Browser Runtime
Scaling prototype AI agents into production-ready AWS applications
Integrating existing Lambda functions and APIs as semantic tools for agents