Updated April 2026
OpenClaw Guide 2026 — How to Install, Set Up, and Use It
OpenClaw became the fastest-growing open-source project in GitHub history, reaching 250,000+ stars in under 60 days. If you've heard the hype but are not sure what it actually does or how to get started, this guide covers everything from first install to useful real-world workflows.
The bottom line
What it is: A locally-running, open-source AI agent that connects LLMs to your messaging apps, files, and system tools. What it costs: Free (MIT licence) — you pay only for LLM API calls, typically $10–50/mo for moderate use. Who it's for: Technically comfortable users who want autonomous AI that acts without being prompted. Not recommended for non-technical users due to real security considerations.
What is OpenClaw?
OpenClaw is an autonomous AI agent that runs locally on your computer (Mac, Windows, or Linux) and connects to messaging apps like WhatsApp, Telegram, Discord, and Slack as its interface. Unlike ChatGPT or Claude, which wait for you to type a question, OpenClaw runs continuously in the background — proactively completing tasks, monitoring conditions, and messaging you when it finds something worth flagging.
It uses a skills system (100+ built-in, community-expandable) to execute actions: run shell commands, read and write files, browse the web, call APIs, and interact with apps. A key differentiator is persistent memory — context stored locally across sessions, making it learn your preferences over time.
How to install OpenClaw
Requirements: Node.js 22.16+ (Node 24 recommended), minimum 16GB RAM, and an LLM API key (Claude, OpenAI GPT-4, or a local model via Ollama).
# Install globally via npm
npm install -g openclaw@latest
# Run the interactive setup wizard
openclaw onboardThe openclaw onboard command walks you through: setting up the local gateway daemon, choosing your AI model, connecting a messaging channel, and installing your first skills. For most users, the Telegram or WhatsApp channel is the recommended starting point.
Connecting your first messaging channel
OpenClaw communicates through messaging apps you already use. To connect Telegram: create a new Telegram bot via @BotFather, copy the bot token, and enter it during openclaw onboard or via openclaw configure --section channels. Once connected, message your bot to start interacting with OpenClaw.
Top skills to install first
The bundled skill library covers the most common use cases. After onboarding, the recommended first skills are: web-search (browse the web and answer questions with current information), file-manager (read, write, and organise local files), scheduler (set up recurring tasks and cron jobs), and github (manage repositories, create PRs, and monitor issues).
Install any skill with: openclaw plugins install @openclaw/[skill-name]
Real use cases people are running
The most popular workflows documented by the community include: automated daily briefings (weather, calendar, news, email summary sent each morning), background monitoring (disk space, server uptime, price trackers), code review and PR management (triggered via GitHub webhooks), and personal research agents that compile reports on topics you're tracking.
The car negotiation story went viral: a user tasked OpenClaw with buying a car — it scraped dealer inventories, filled contact forms, and played dealers against each other over several days, saving thousands.
Security considerations
OpenClaw gives an AI agent significant access to your system. The most important safeguards: run in a sandboxed environment or a dedicated VPS rather than your primary machine, use workspace-level skills rather than global access where possible, and review Nvidia's NemoClaw security add-on (March 2026) for containerised deployments. The project's own maintainers note it is too risky for users who can't follow command-line instructions.
{cta_link("OpenClaw full review on ToolChase","/tool/openclaw")}
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Take the free quiz →Frequently asked questions
How much does OpenClaw cost to run?
OpenClaw itself is free and open-source. You pay for LLM API costs — typically $10–50/mo for moderate use with Claude or GPT-4. Using local models via Ollama brings the cost to zero beyond hardware.
What's the minimum hardware for OpenClaw?
Node.js 22.16+ and 16GB RAM minimum. The recommended setup is a Mac Studio M4 Max or a dedicated Linux server. For single-user personal use, most modern laptops with 16GB RAM work.
Is OpenClaw safe to use?
It is powerful but carries real security risks. Giving an AI agent shell access and file system control on your main computer requires trust in the model's judgment. Sandboxed VPS deployments and Nvidia's NemoClaw security add-on reduce the risk substantially.