OpenClaw Setup Guide with LATEST MiniMax M2.5 (CHEAPEST WAY )

Summary

This video walks you through one of the cheapest ways to get OpenClaw up and running using a low-cost cloud server instead of your personal machine. Rather than risking your MacBook or Mac Mini, you spin up a virtual server on Zebra for as little as $2 a month, giving you a safe sandbox environment where you can experiment freely and reset everything if something goes wrong. You start by creating a server on Zebra, choosing a region close to you for better speed, and picking a small plan that fits your budget. Once your server is live, you connect to it using Termius, a straightforward SSH client where you enter your server's IP address, username, and password. From there, you head to openclaw.ai, grab the Linux install command, paste it into your terminal, and let the installer run for a couple of minutes. During setup, you choose MiniMax M2.5 as your model. It is a newly released model that ranks competitively but costs far less than running Claude 4.6, which can run up to $50 per day. For MiniMax, a coding plan at $20 per month gives you 300 prompts every five hours, which is more than enough for most use cases. You enter your MiniMax coding plan API key during the installation wizard, making sure to use the coding plan key rather than a plain API key, since the coding plan includes a built-in balance. After installation, you fix a common PATH warning by running a simple export command, then launch OpenClaw using the openclaw TUI command. Once it is running, you can start chatting with it, giving it a name, and gradually expanding what it has access to. The video emphasizes isolating your AI from sensitive personal data at first, for example by connecting a secondary Google account, and only granting more access as you grow comfortable. You also get a quick overview of useful OpenClaw commands: openclaw onboard to restart the setup wizard, and openclaw configure to adjust specific settings. Future videos in this series will cover connecting Telegram, fixing issues when things go wrong, and advanced automation setups like shared task lists and notes directories.