Complete guide to installing openclaw.ai on Hostinger VPS. Includes server setup, domain configuration, and SSL.
☁️ Cloud VPS Installations
Deploy openclaw.ai on major cloud providers. Perfect for production environments and scalable setups.
Deploy openclaw.ai on DigitalOcean Droplets with one-click setup scripts and monitoring integration.
Enterprise-grade deployment on AWS EC2 with VPC setup, security groups, and IAM best practices.
Deploy on Google Cloud Compute Engine with Cloud Run integration and automatic scaling options.
Quick and affordable openclaw.ai deployment on Linode with StackScripts for automation.
High-performance openclaw.ai deployment on Vultr with global data center options.
💻 Local Installations
Install openclaw.ai on your personal computer. Great for development, testing, and personal use.
Step-by-step Windows installation with screenshots. Covers PowerShell setup, dependencies, and configuration.
Install on macOS with support for both Intel and Apple Silicon (M1/M2/M3/M4/M5). Homebrew-based setup with full Apple Silicon optimization.
Native installation on Ubuntu 22.04/24.04 and Debian 12/13. Uses apt package manager.
Installation guide for Fedora, RHEL, CentOS, and Rocky Linux using dnf package manager.
Arch Linux installation using pacman. Includes AUR package and manual build options.
🔧 Specialized Hardware
Run openclaw.ai on specialized hardware setups, containers, and alternative environments.
Complete Raspberry Pi setup from OS installation to running openclaw.ai. Optimized for ARM architecture.
Give new life to old hardware. Minimum specs guide and optimization tips for limited resources.
Run openclaw.ai in Docker containers. Cross-platform, isolated, and easy to manage.
Run Linux-native openclaw.ai on Windows using WSL2. Best of both worlds setup.
🚀 Advanced Setups
Production-ready deployments with enterprise features like SSL, load balancing, and orchestration.
Secure production deployment with Let's Encrypt SSL, Nginx reverse proxy, and security hardening.
Install openclaw.ai in offline environments. Complete air-gapped setup with local LLMs.
Multi-container deployment with Docker Compose. Includes database, cache, and monitoring.
Enterprise Kubernetes deployment with Helm charts, auto-scaling, and monitoring stack.