OpenClaw AI Assistant Docs

OpenClaw and ClawOps documentation / setup, features, and fixes

Learn how to run your personal AI assistant.

Use these docs to set up ClawOps, connect your Telegram bot, deploy the OpenClaw gateway, choose OpenRouter model stacks, manage credits, work with files, and troubleshoot your assistant when something needs attention.

Get started ->

Explore features

Setup in about 5 minutesDedicated Hetzner VPSFree models by default

Start here

Everything you need to get from signup to a working assistant.

ClawOps packages OpenClaw into a hosted personal AI assistant: a private bot runtime, dedicated server, Telegram chat interface, OpenRouter models, file tools, memory, and dashboard controls. The docs are organized around the first setup flow, then the features you will use once your bot is live. If something feels stuck, jump straight to troubleshooting.

01

Quick setup

Sign up, create a Telegram bot, deploy your server, and send the first message.

Begin setup ->02

Model stacks

Choose Wanderer, Hustler, Professional, or Operator and understand when each stack fits.

Compare stacks ->03

Smart switching

See how ClawOps keeps your assistant responsive as credits and model availability change.

Learn routing ->

Common next steps

Make the bot useful after it is online.

Talk to your botPrompting patterns and everyday usageWork with filesUpload, analyze, and retrieve documentsDocument indexingQMD search, memory, files, and collectionsTroubleshootingFix bot replies, deployment, and account issues