Tools: You Don't Need a Mac Mini to Run Clawdbot - Here's How to Run It Anywhere

What is Clawdbot? ## The Mac Mini Myth ## What You Actually Need to Run Clawdbot ## Minimum Requirements ## Official Deployment Methods ## 1. One-Click Installer ## 2. Docker ## 3. Ansible ## 4. Nix ## 5. Bun ## 6. Railway ## 7. Render ## Where Can You Run Clawdbot? ## Option 1: Cheap VPS Hosting ($3-5/month) ## DigitalOcean Quick Setup (Thanks to Nader Dabit) ## 1. Create a Droplet ## 2. Select Premium AMD ## 3. SSH into server ## 4. Create sudo user ## 5. Install Clawdbot ## 6. Configure API keys ## 7. Start gateway ## 8. SSH tunnel to access UI ## Option 2: Free AWS Tier ## Option 3: Your Old Computer ## Option 4: Raspberry Pi ## Option 5: Docker Containers ## Cost Comparison ## Why VPS Might Be Better Than a Mac Mini ## When a Mac Mini Actually Makes Sense ## Quick Start: Choose Your Path ## The Bottom Line ## Resources Clawdbot is taking the tech world by storm. If you've been on Twitter, Reddit, or tech blogs lately, you've probably seen the flood of posts showing off freshly unboxed Mac Minis. People are buying these $599+ machines just to run an AI assistant. But here's the thing: you don't actually need a Mac Mini. Let me show you how to run Clawdbot on hardware you probably already have, or for as little as $3-5/month. Even the creator of Clawdbot is trying to explain that they don't need expensive machines to get started! Clawdbot is an open-source, self-hosted AI assistant that lives in your messaging apps (WhatsApp, Telegram, Discord, Slack, Signal, even iMessage). Unlike ChatGPT where you go to a website, Clawdbot comes to you where you already are. What makes it special: The recent surge in Mac Mini sales is largely driven by Clawdbot's popularity. A Redditor recently used Clawdbot to port an entire CUDA backend to AMD's ROCm in just 30 minutes, significantly denting NVIDIA's CUDA moat. This has made Apple's Mac Mini devices fly off the shelves. But here's the reality: Clawdbot was designed to run anywhere. The official documentation explicitly supports multiple platforms and deployment methods. You're not locked into Apple hardware. That's it. No Apple silicon required. No unified memory architecture needed. Just a basic Linux or Windows machine. The Clawdbot documentation supports multiple deployment options out of the box: Then run exec bash to start the setup wizard. Official Docker support means you can run Clawdbot alongside your existing containers: For automated deployments at scale: For reproducible, declarative system configuration: If you prefer Bun's faster runtime: One-click deployment from GitHub. Connect your repo, configure environment variables, and you're running in minutes. Similar to Railway with a generous free tier for testing. This is the most popular alternative for good reason. Hetzner — Starting around €3.49/month for instances with 4GB RAM and 2 vCPUs. Infrastructure is rock-solid with data centers in Germany, Finland, USA, and Singapore. Setup requires moderate technical knowledge, but documentation is thorough. DigitalOcean — Droplets start at $6/month for 1GB RAM, though the $12/month tier with 2GB RAM is what you'll actually want for Clawdbot. Interface is intuitive with a clean dashboard. Linode (Akamai) — Plans start at $5/month for 1GB RAM instances. Performance is consistent and customer support is notably helpful. Railway — One-click Clawdbot template. Connect your GitHub, click deploy, configure a few environment variables, and you're running within minutes. Pricing is usage-based, typically $5-20/month for small to medium instances. Render — Offers a generous free tier that can run a basic Clawdbot instance, though you'll likely want to upgrade for production use. Here's a complete guide from Nader Dabit's gist for running Clawdbot on DigitalOcean: Open http://127.0.0.1:18789 AWS Free Tier provides up to $200 in credits for new customers and free usage of select services for up to 6 months. You can launch an EC2 instance and run Clawdbot without paying anything initially. Just be careful about scaling beyond free limits. Got an old laptop or desktop gathering dust? It's probably perfect for Clawdbot. Yes, really. People are running Clawdbot on Raspberry Pis with Cloudflare tunnels. It's not the fastest option, but it works and costs almost nothing in electricity. If you're already running Docker somewhere (homelab, NAS, etc.), Clawdbot has official Docker support. Just pull the image and run it alongside your other containers. There ARE legitimate reasons to choose a Mac Mini: But for most people? A $5 VPS or old computer is more than enough. For beginners: Start with Railway or Render's one-click deploy. You'll be running in 5 minutes. For developers: Use Docker or Ansible for reproducible deployments. For tinkerers: Grab an old computer or Raspberry Pi and have fun with it. For production: Hetzner or DigitalOcean VPS for reliability and performance. The Clawdbot hype is real, and it's an incredible tool. But don't let FOMO drive you into buying hardware you don't need. Start with what you have. Try a $5 VPS. Dust off that old laptop. Join the community on Discord and learn from others who are running it on everything from Raspberry Pis to cloud instances. The future of personal AI isn't about buying the most expensive hardware — it's about having an assistant that's always there, remembers everything, and actually helps you get things done. And that assistant can run anywhere. Want to see more practical guides like this? Follow me for real-world developer content that saves you time and money. Templates let you quickly answer FAQs or store snippets for re-use. Are you sure you want to hide this comment? 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Hide child comments as well For further actions, you may consider blocking this person and/or reporting abuse COMMAND_BLOCK: curl -fsSL https://clawd.bot/install.sh | bash Enter fullscreen mode Exit fullscreen mode COMMAND_BLOCK: curl -fsSL https://clawd.bot/install.sh | bash COMMAND_BLOCK: curl -fsSL https://clawd.bot/install.sh | bash COMMAND_BLOCK: docker pull clawdbot/clawdbot docker run -d clawdbot/clawdbot Enter fullscreen mode Exit fullscreen mode COMMAND_BLOCK: docker pull clawdbot/clawdbot docker run -d clawdbot/clawdbot COMMAND_BLOCK: docker pull clawdbot/clawdbot docker run -d clawdbot/clawdbot CODE_BLOCK: ansible-playbook clawdbot-ansible.yml Enter fullscreen mode Exit fullscreen mode CODE_BLOCK: ansible-playbook clawdbot-ansible.yml CODE_BLOCK: ansible-playbook clawdbot-ansible.yml CODE_BLOCK: nix-shell -p clawdbot Enter fullscreen mode Exit fullscreen mode CODE_BLOCK: nix-shell -p clawdbot CODE_BLOCK: nix-shell -p clawdbot CODE_BLOCK: bun install clawdbot Enter fullscreen mode Exit fullscreen mode CODE_BLOCK: bun install clawdbot CODE_BLOCK: bun install clawdbot COMMAND_BLOCK: ssh root@YOUR_IP Enter fullscreen mode Exit fullscreen mode COMMAND_BLOCK: ssh root@YOUR_IP COMMAND_BLOCK: ssh root@YOUR_IP CODE_BLOCK: adduser clawd && usermod -aG sudo clawd && su - clawd Enter fullscreen mode Exit fullscreen mode CODE_BLOCK: adduser clawd && usermod -aG sudo clawd && su - clawd CODE_BLOCK: adduser clawd && usermod -aG sudo clawd && su - clawd COMMAND_BLOCK: curl -fsSL https://clawd.bot/install.sh | bash Enter fullscreen mode Exit fullscreen mode COMMAND_BLOCK: curl -fsSL https://clawd.bot/install.sh | bash COMMAND_BLOCK: curl -fsSL https://clawd.bot/install.sh | bash CODE_BLOCK: clawdbot setup --wizard Enter fullscreen mode Exit fullscreen mode CODE_BLOCK: clawdbot setup --wizard CODE_BLOCK: clawdbot setup --wizard CODE_BLOCK: clawdbot gateway --bind lan --port 18789 Enter fullscreen mode Exit fullscreen mode CODE_BLOCK: clawdbot gateway --bind lan --port 18789 CODE_BLOCK: clawdbot gateway --bind lan --port 18789 COMMAND_BLOCK: ssh -L 18789:127.0.0.1:18789 clawd@YOUR_IP Enter fullscreen mode Exit fullscreen mode COMMAND_BLOCK: ssh -L 18789:127.0.0.1:18789 clawd@YOUR_IP COMMAND_BLOCK: ssh -L 18789:127.0.0.1:18789 clawd@YOUR_IP - Persistent memory — it remembers what you told it yesterday - Proactive — it can reach out to YOU with briefings, reminders, alerts - Full computer access — browse the web, fill forms, run commands, automate tasks - Always available — runs 24/7 so it's always there when you need it - 2GB RAM and 2 CPU cores for basic chat functionality - 4GB+ RAM if you want browser automation skills or multiple intensive workflows - 20GB storage for the app, conversation history, and workspace files - Node.js runtime environment - Stable network connection (uptime matters more than raw bandwidth) - Ubuntu 24.04 LTS, nearest region - 2 GB RAM / 1 AMD CPU / 50 GB NVMe - Any machine with 2GB+ RAM and a dual-core CPU will work - Linux is preferred but Windows works too - Install Node.js, clone the repo, and you're set - Bonus: You already own it, so it's completely free - Cost — $3-5/month vs $599 upfront. That's 2-4 years of hosting before you break even. - Location — Choose data centers near you or your users for lower latency. - Scalability — Need more RAM? Upgrade in clicks. No new hardware purchase. - Reliability — Professional data centers with 99.9%+ uptime, backups, monitoring. - Separation — Keep your AI assistant separate from your personal machine. No noise, no heat. - You want local-only operation (no internet dependency) - You need maximum performance for local LLMs - You already have Apple devices and want ecosystem integration - You value privacy and want physical control of your data - You're doing GPU-heavy workloads that benefit from Apple silicon - Official Clawdbot Documentation: https://docs.clawd.bot - Clawdbot GitHub: https://github.com/clawdbot/clawdbot - Community Discord: https://discord.com/invite/clawd - Nader Dabit's DigitalOcean Guide: https://gist.github.com/dabit3/42cce744beaa6a0d47d6a6783e443636 - Best VPS Providers Guide: https://onnetpulse.co.ke/best-platforms-to-host-clawdbot