
OpenClaw (formerly known as Moitbot and Clawdbot) is a personal AI assistant platform that runs on your own infrastructure, enabling you to interact with AI across multiple messaging channels, including WhatsApp, Telegram, Slack, Discord, Google Chat, Signal, iMessage, and Microsoft Teams. Unlike cloud-based assistants, OpenClaw operates as a self-hosted control plane that connects to the messaging platforms you already use, providing a unified interface for AI interactions while keeping your data under your control.
Use the pre-configured Docker template to launch a production-ready OpenClaw instance in seconds.
Skip third-party sign-ups and the hassle of managing multiple API keys. Purchase the AI credits directly through hPanel for instant, out-of-the-box access to OpenAI, Anthropic, and more. With no external accounts required, you can manage and top up your credits directly from your control panel.
Keep your sensitive data and chat logs entirely under your control. Hostinger VPS provides a private, self-hosted environment with high-complexity security generated by default.
Unlike local setups, your VPS ensures OpenClaw is active around the clock. Your AI agent stays online to handle leads and execute tasks even when you're offline.
Enjoy guaranteed CPU and memory allocation. Hostinger VPS provides the stability and network speed required for smooth, real-time WebSocket connections across all your messaging channels.
Development teams use OpenClaw to streamline their workflow by creating custom assistants that automate code reviews and technical support directly through Slack or Discord. Product and operations teams leverage OpenClaw to build intelligent chatbots that handle inquiries across multiple platforms simultaneously for faster and more consistent service. Personal users deploy OpenClaw to consolidate their AI interactions into a single, unified assistant that maintains full context and capabilities across every messaging app.
Important: Users must bring their own API keys for LLM services (OpenAI, Anthropic, etc.). LLM models cannot be installed on lower RAM configurations - GPU acceleration is required for optimal performance. For 64GB+ RAM VPS plans, CPU-only inference is possible but significantly slower than GPU. Review hardware requirements before purchasing to ensure compatibility with your intended use case.