Claude Skill

aws-samples/sample-OpenClaw-on-AWS-with-Bedrock

Deploy OpenClaw, an open-source claw crane game, on AWS with Amazon Bedrock for AI-powered interactions. A Python sample project showcasing generative AI in gaming.

Overview

Stars419
Forks134
LanguagePython
Last pushed2026-07-04
Last synced2026-07-04
View on GitHub

Repository

Owneraws-samples
Repositorysample-OpenClaw-on-AWS-with-Bedrock
Full nameaws-samples/sample-OpenClaw-on-AWS-with-Bedrock
Repo ID1,144,267,145

Install this Skill

git clone https://github.com/aws-samples/sample-OpenClaw-on-AWS-with-Bedrock.git

Registry

Typeopenclaw_skill
Quality score80/100
Verificationreadme_parsed
Last verified2026-06-12
Platforms
ClaudeOpenClaw
Capabilities
browserpdfmemorysearchimageterminalworkflow
Detected files
README.mddocs
Config keys
INSTANCE_IDTOKEN

Summary

This sample project demonstrates how to deploy OpenClaw, an open-source claw crane game, on AWS using Amazon Bedrock for AI-powered interactions. Built with Python, it showcases integrating generative AI into a gaming application on cloud infrastructure.

Key features

  • Deploys OpenClaw game on AWS with Amazon Bedrock integration
  • Uses Python for backend logic and AI interaction
  • Leverages generative AI for enhanced gameplay
  • Sample architecture for cloud-based gaming with AI
  • Open-source project from AWS samples

Use cases

  • Building AI-enhanced arcade games on AWS
  • Learning how to integrate Bedrock with gaming applications
  • Prototyping cloud-based interactive entertainment
  • Exploring generative AI in real-time game scenarios
  • Educational reference for AWS gaming solutions

README excerpt

# OpenClaw on AWS with Bedrock > Your own AI assistant on AWS — connects to WhatsApp, Telegram, Discord, Slack. Powered by Amazon Bedrock. No API keys. One-click deploy. From ~$30/month. English | [简体中文](README_CN.md) > 🔱 **Sister project:** Prefer a self-improving Python agent? See **[Hermes Agent on AWS with Bedrock](https://github.com/JiaDe-Wu/sample-hermes-agent-on-aws-with-bedrock)** — same one-click CloudFormation + Bedrock deploy, built around an auto-learning agent loop. [![License](https://img.shields.io/badge/License-MIT--0-yellow?style=for-the-badge)](https://opensource.org/licenses/MIT) [![Amazon Bedrock](https://img.shields.io/badge/Powered_by-Amazon_Bedrock-FF9900?style=for-the-badge&logo=amazonaws&logoColor=white)](https://aws.amazon.com/bedrock/) [![CloudFormation](https://img.shields.io/badge/IaC-CloudFormation-232F3E?style=for-the-badge&logo=amazonaws&logoColor=white)](https://aws.amazon.com/cloudformation/) ## Why This Exists [OpenClaw](https://github.com/openclaw/openclaw) is the fastest-growing open-source AI assistant — it runs on your hardware, connects to your messaging apps, and actually does things: manages email, browses the web, runs commands, schedules tasks. The problem: setting it up means managing API keys from multiple providers, configuring VPNs, and handling security yourself. This project solves that. One CloudFormation stack gives you: - **Amazon Bedrock** for model access — 10 models, one unified API, IAM authentication (no API keys) - **Graviton ARM instances** — 20-40% cheaper than x86 - **SSM Session Manager** — secure access without opening ports - **VPC Endpoints** — traffic stays on AWS private network - **CloudTrail** — every API call audited automatically Deploy in 8 minutes. Access from your phone. ## Quick Start

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Data from GitHub. Synced on 2026-07-04