How to Deploy Your Personal AI Assistant in 5 Minutes

Running your own personal AI assistant used to mean servers, terminals, and DevOps. Not anymore. With one-click deploy, you can have an AI that clears your inbox, manages your calendar, and chats with you on WhatsApp or Slack—running on your own server in about 5 minutes.

Why run your own AI assistant?

Cloud AI assistants are convenient, but your data lives on someone else's servers. A self-hosted personal AI assistant gives you the same power—scheduling, email triage, messaging, voice—while keeping your data on a machine you control. You choose the AI provider (OpenAI, Anthropic, Google, OpenRouter), add your API key once, and the assistant runs 24/7.

What can it do?

OpenClaw is an open-source personal AI that runs on your own server. It can clear your inbox and send emails, manage your calendar and meetings, and chat with you on the apps you already use: WhatsApp, Slack, Telegram, Discord, and more. Voice wake and reply let you talk hands-free. Reminders and background tasks keep running even when you're offline. Everything stays on your server—no feeding a big tech cloud.

One-click deploy, no terminal

You don't need to touch a command line. Sign up, pick your AI provider, paste your API key, and click Deploy. We spin up a server, install OpenClaw, and hand you a link to the control panel. There you can change settings, add integrations, and manage your assistant from the browser. No code, no DevOps—just one button and about 5 minutes.

Your data, your server

The assistant runs on a dedicated server that's yours for as long as you keep the subscription. Logs and config stay on that machine. You can point it at your email, calendar, and messaging apps without handing everything to a third party. For many people, that's the whole point: personal AI that's actually personal.

Get started

Ready to deploy? Choose a plan, add your API key, and click Deploy. Your personal AI assistant will be up in about 5 minutes. If you'd rather try the full OpenClaw experience locally first, check out the open-source project; when you're ready for a server that's always on, we're here for a one-click deploy.