bedrock-agentcore

Official

Deploy and manage AI agents at scale.

Authoraws-samples
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill simplifies the deployment, management, and operation of AI agents at scale by providing fully-managed services that handle infrastructure complexities.

Core Features & Use Cases

  • Runtime: Securely deploy and run agents with automatic scaling and session isolation.
  • Memory: Enable context-aware agents with short-term and long-term memory capabilities.
  • Gateway: Securely manage and discover tools for agents, transforming APIs and services into agent-compatible tools.
  • Identity: Manage secure agent identities and access permissions.
  • Observability: Trace, debug, and monitor agent performance in production.
  • Code Interpreter: Securely execute Python code in isolated sandbox environments.
  • Browser: Provide cloud-based browser runtime for AI agents.
  • Use Case: Deploy a football agent that can analyze game states, access player statistics, and make real-time tactical decisions during a match.

Quick Start

Deploy your agent using the AgentCore CLI by running the command agentcore deploy.

Dependency Matrix

Required Modules

None required

Components

references

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: bedrock-agentcore
Download link: https://github.com/aws-samples/sample-ai-possibilities/archive/main.zip#bedrock-agentcore

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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