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

Registry 信息

项目简介

该项目示例演示了如何在AWS上使用Amazon Bedrock部署开源抓娃娃机游戏OpenClaw，实现AI驱动的交互。基于Python构建，展示了在云基础设施上将生成式AI集成到游戏应用中。

要点

• 在AWS上部署OpenClaw游戏并集成Amazon Bedrock
• 使用Python实现后端逻辑和AI交互
• 利用生成式AI增强游戏体验
• 基于云的AI游戏示例架构
• 来自AWS示例的开源项目

使用场景

• 在AWS上构建AI增强的街机游戏
• 学习如何将Bedrock集成到游戏应用中
• 原型开发基于云的互动娱乐
• 探索生成式AI在实时游戏场景中的应用
• AWS游戏解决方案的教育参考

README 摘要

# 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. [](https://opensource.org/licenses/MIT) [](https://aws.amazon.com/bedrock/) [](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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