OpenClaw Launch

OpenClaw Launch is a fully managed deployment platform for OpenClaw, the open-source AI chatbot framework. It replaces the entire self-hosting workflow — servers, Docker, CLI, config files — with a visual browser-based editor and one-click deployment. How it works 1. Configure — Pick your AI model and chat platform from a visual form. No YAML, no JSON, no terminal. Supported models include GPT-5.2, Claude Opus 4.6, Claude Sonnet 4.5, Gemini 3 Pro, Gemini 3 Flash, DeepSeek V3.2, Kimi K2.5, and a free tier (Trinity Large Preview). 2. Deploy — One click. Your bot is live in under 30 seconds. OpenClaw Launch handles Docker containers, networking, SSL/HTTPS, and monitoring automatically. 3. Connect — Your bot is instantly reachable on Telegram, Discord, or the built-in Web UI. Manage everything — logs, start/stop/restart, configuration changes — from the dashboard. What makes it different from self-hosting - No hardware required — no Mac Mini, no VPS, no cloud VM - No setup — no Docker install, no port configuration, no firewall rules - No config files — visual editor replaces YAML/JSON editing and syntax debugging - No deployment headaches — no SSH, no docker-compose, no praying - No SSL management — HTTPS is included out of the box - No monitoring scripts — built-in dashboard with real-time logs - Time to launch: under 30 seconds vs. 2–6 hours for a manual setup What people use it for - WhatsApp and Telegram bots - Email management - Morning briefings - Smart home control - Web research - Voice commands, calendar scheduling, meal planning, price tracking, competitor monitoring, and more OpenClaw has access to over 5,700 community skills on ClawHub, covering everything from flight check-in and file management to Discord moderation and code review. Security - Each bot runs in an isolated Docker container with its own storage - Gateway tokens are auto-generated and never shared - Configurations are encrypted at rest - All connections use SSL/HTTPS - Your conversations, API keys, and data are never accessed or used for AI training