Cloud-Deployment

If you’ve ever wanted to run your own private AI agent without touching a Dockerfile or configuring a reverse proxy from scratch, AWS just made it dramatically easier. Amazon Web Services has officially added OpenClaw to Amazon Lightsail as a one-click blueprint — meaning you can spin up a fully functional, self-hosted AI agent in minutes, starting at approximately $3.50 per month. This is a meaningful moment for the agentic AI ecosystem. OpenClaw going from a GitHub sensation to a first-class AWS product suggests that self-hosted AI agents are no longer a hobbyist curiosity — they’re becoming a mainstream infrastructure choice. ...

AWS just added OpenClaw to Amazon Lightsail as an official one-click blueprint. That means you can now deploy a fully functional, self-hosted AI agent — pre-connected to Amazon Bedrock and Claude Sonnet 4.6 — in the time it takes to make coffee. Here’s exactly how to do it. What You’ll Need An AWS account (free tier works for the first month; the $3.50/month Lightsail tier covers basic usage) About 5 minutes A domain name (optional, but recommended for HTTPS setup) Step 1: Open the Lightsail Console Navigate to lightsail.aws.amazon.com and sign in with your AWS credentials. If you don’t have an account, the signup takes about 3 minutes and doesn’t require a credit card for the initial free tier. ...

Getting OpenClaw running has always required a server — a Linux box, a VPS, a Raspberry Pi, something you configure, maintain, and keep online. MiniMax just changed that. MaxClaw, launched yesterday at maxclaw.ai, offers one-click cloud deployment of a fully functional OpenClaw instance in under 10 seconds. No server. No Docker. No config files. MiniMax is a Chinese AI unicorn that’s been building foundation models and infrastructure quietly while Anthropic and OpenAI dominate Western headlines. Their M2.5 model — a 229-billion parameter mixture-of-experts architecture — powers MaxClaw under the hood. But the product is OpenClaw-compatible: your agents, your skills, your integrations, running in their cloud. ...