Run OpenClaw in the Cloud: AWS Deployment, WhatsApp Control & Google Workspace Automation

Syed Humair · Beginner ·📰 AI News & Updates ·3mo ago
Deploy your own secure, private OpenClaw (previously known as Clawdbot or Moltbot) AI assistant in the AWS cloud — fully isolated, no public ports open, controlled via WhatsApp, and integrated with Google Workspace (Gmail, Calendar, Drive, Maps, and more). In this step-by-step tutorial, I show how to use CloudFormation for one-click-ish deployment, connect via AWS Session Manager (SSM) for encrypted access, set up WhatsApp as your control channel, install Kerlig (for coding & troubleshooting), add the gog skill for Google Workspace superpowers, and authenticate everything securely. Everything is done with maximum security in mind — perfect for a personal, always-on AI agent you can message from your phone. Key Resources: 🔗 CloudFormation Template Repo (AWS-native deployment with Bedrock integration – one-click launch stacks, secure SSM access, Graviton support, no API keys needed): https://github.com/syedair/sample-OpenClaw-on-AWS-with-Bedrock 🔗 Tutorial Companion Repo (full step-by-step commands, README with detailed notes, troubleshooting, Google OAuth flow, .bashrc tweaks, etc.): https://github.com/syedair/youtube-content/tree/main/openclaw-aws-deployment-whatsapp-google-automation 🔗 Official OpenClaw Docs (installation, skills, channels): https://docs.openclaw.ai 🔗 AWS Session Manager Plugin (required for secure access): https://docs.aws.amazon.com/systems-manager/latest/userguide/session-manager-working-with-install-plugin.html Timestamps / Chapters 00:00 Intro – What is OpenClaw & Why Deploy to AWS? 11:12 Demo 32:51 Final Remarks and Thanks All commands & troubleshooting notes are in the pinned comment / companion repo README. Try it, break it, make it yours — let me know in the comments if you get stuck or want more skills added! #OpenClaw #AWS #SelfHostedAI #WhatsAppAI #GoogleWorkspace #Bedrock #CloudAI #clawdbot #moltbot
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Chapters (3)

Intro – What is OpenClaw & Why Deploy to AWS?
11:12 Demo
32:51 Final Remarks and Thanks
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