Deploy OpenClaw on AWS: A Ready-to-Use Self-Hosted AI Assistant

A Self-Hosted AI Assistant You Actually Control

Running a personal AI assistant across the apps you actually use, Telegram, Slack, WhatsApp, whichever, usually means one of two things. You pay for a hosted chatbot service and live with its per-seat pricing, its data policy, and whatever model it has decided to lock you into. Or you patch together three or four separate bot integrations that don't share memory or context with each other, and you end up repeating yourself to a different bot in every app.

The OpenClaw AMI on AWS Marketplace by Meetrix skips both problems. OpenClaw is an open-source, self-hosted AI assistant and automation gateway. Meetrix packaged it into a CloudFormation template so it launches ready to use in your own AWS account, with the Node.js runtime, the gateway service and nginx already wired together. Ready to get started? Launch the Meetrix OpenClaw AMI on AWS Marketplace.

What is OpenClaw?

OpenClaw is an open-source, MIT-licensed gateway maintained by the OpenClaw Foundation. It connects messaging apps, Telegram, Discord, WhatsApp, Signal, Slack, iMessage and more, to a single AI agent runtime. One gateway process serves every channel you configure, so the agent you message on Telegram remembers the conversation you had with it on Slack yesterday. It's built on Node.js and runs entirely on hardware or a server you control.

It isn't just a chat window. OpenClaw is agent-native: it supports tool use (letting an agent read files, fetch web pages, or run commands you explicitly allow), persistent memory, and routing across multiple agents for different projects or workspaces. There's a browser-based Control UI for chat and configuration, plus mobile nodes for iOS and Android with voice input and a Canvas view, for when typing into a phone isn't how you want to work.

Real Automation Use Cases for OpenClaw

• Reach one AI agent from whichever app is already open. Ask it something in Telegram at your desk, follow up on WhatsApp from your phone later, same memory both times.
• Run a coding agent through chat instead of a terminal window, which matters when something breaks and you're not at your dev machine.
• Give a small team a shared assistant with per-channel rules. A group chat can require the bot be mentioned before it responds, so it doesn't jump into conversations nobody asked it to join.
• Pair a mobile node with the gateway for voice input and a Canvas view on iOS or Android, instead of typing everything out.
• Route different projects to different agents from one gateway, so a work workspace and a personal one don't share context by accident.
• Wire up tool-enabled agents, file access, web fetch, command execution, for tasks you'd otherwise script by hand, with per-agent policy controlling what each one is allowed to touch.

Why Run OpenClaw on AWS

Self-hosting doesn't have to mean a machine under someone's desk. Running OpenClaw on an EC2 instance gets you control over the sizing, you can resize the instance up or down as usage changes, and control over the region, so your data stays where you need it to for your own team or customers. You pay for the compute you use rather than a fixed per-seat subscription, and you're not tied to one AI provider. Bring your own API key, and switch models later if pricing or quality changes, without switching platforms.

It also means the instance sits alongside whatever else you already run in AWS. If you use Route 53 for DNS or IAM for access control, OpenClaw fits into that setup instead of asking you to trust a separate vendor's infrastructure with your conversations.

How Deployment Works

Doing this by hand means provisioning an EC2 instance, installing the right Node.js version, wiring up nginx and a systemd service, then figuring out SSL on your own. Through the Marketplace, it's four steps, or follow our Developer Guide for the full walkthrough with screenshots:

1. Launch from AWS Marketplace Open the Meetrix OpenClaw listing, subscribe, and choose the CloudFormation deployment path. No CLI setup and no dependency management required.
2. Configure the CloudFormation Stack Set your admin username and password for the dashboard, your AI provider and API key, and an instance type (t3.large or larger is recommended). Add a domain if you have one.
3. Point Your Domain Copy the public IP from the stack's Outputs tab and add it as a record in Route 53, or whatever DNS provider you use. SSL sets itself up automatically if the domain is on Route 53.
4. Access the Dashboard and Connect Channels Log in with the admin credentials you set, then add Telegram, Discord, Slack or other channels from the Config screen. You're talking to your agent within minutes.

What Meetrix Brings to This Deployment

• No Node.js Version Wrangling - The AMI ships with the right Node runtime, the gateway service and nginx already connected. You skip the afternoon you'd otherwise spend on dependency conflicts.
• SSL That Works on the First Try - Point a Route 53 domain at the instance and SSL sets itself up. Using a different DNS provider? We give you a one-command script to generate it manually instead.
• Admin Access Set at Launch, Not Left Open - You set the dashboard username and password as part of the stack configuration, rather than starting from a shared default.
• People Who Have Actually Run This Deployment - If the gateway won't start after launch, you're talking to someone who has debugged the openclaw-gateway service before, not someone reading from a script.
• It's Your AWS Account, Not a Shared Platform - Your conversations, your agent memory, your provider API keys, all of it sits on infrastructure you control, not a vendor's shared servers.

Data Control and Your Responsibilities

OpenClaw runs on an EC2 instance inside your own AWS account and VPC. Conversation history, agent memory, session transcripts and your AI provider API keys are stored on that instance, under the restricted file permissions OpenClaw itself sets. Meetrix does not have access to the running instance or the data on it once the stack is deployed.

That control comes with responsibility. You decide who has SSH access to the instance through the key pair you choose, and which IP ranges can reach it through the SSHLocation setting. Backups, data retention and access policy are on you, the AMI doesn't run a managed backup or governance layer on top of the instance. And to be clear about something the product's positioning has gotten wrong before: this AMI does not provide automatic GDPR, HIPAA or PCI-DSS compliance. It's a self-hosted deployment tool, not a compliance product. If your use case is regulated, that compliance program is yours to run, the same as it would be for any self-hosted software in your own AWS account.

Security Hardening

OpenClaw's gateway is designed with sensible defaults, but a default is a starting point, not a finished setup. A few things worth doing after launch:

• Treat the admin username and password you set at stack creation as production credentials. Rotate them if you ever suspect they've been shared or logged somewhere they shouldn't be.
• Leave the SSHLocation parameter restricted to your own IP range rather than opening it to 0.0.0.0/0, unless you have a specific reason to allow broader access.
• Keep OpenClaw's default DM policy of pairing for unknown senders, unknown users get a single-use code rather than immediate access. Switch to fully open only for a bot you're comfortable being public-facing.
• Give a public-facing agent read-only or messaging-only tool access. Keep full tool access, including elevated exec mode, restricted to agents you trust completely.
• Rotate your AI provider API key if you ever suspect it's leaked, the same way you would any other credential.

Who Is OpenClaw on AWS Right For?

If you just want a single hosted chatbot with no setup at all, a SaaS assistant is honestly fine for that. This is a stronger fit if you're:

• A developer who wants one AI assistant reachable from whatever app you already have open
• A team replacing several point-solution chatbot subscriptions with one self-hosted gateway
• Someone who wants conversation history and API keys to live on infrastructure you control, not a vendor's servers
• A builder who wants a coding agent reachable from a phone, not just a desktop terminal
• A small team that needs per-agent access control, full access for a personal agent, read-only for a shared one
• An organization that needs its AI assistant's data to stay inside its own AWS account and region

OpenClaw on AWS by Meetrix vs Alternatives

Resources

OpenClaw - Developer Guide

Step-by-step walkthrough of the full deployment: launching the AMI, setting up DNS and SSL, connecting messaging channels, checking logs, and troubleshooting common issues.

Meetrix.IO | Hiruna Kumara

How Teams Use OpenClaw in Production

Meetrix Support

If something doesn't come up right after launch, or you want a hand connecting a channel, reach out to Meetrix Support at aws@meetrix.io. You'll be talking to engineers who have run this deployment before, not a generic support queue.