Tutorials

Hands-on guides for running OpenClaw AI Agent. Start from scratch and level up step by step.

About OpenClaw

Environment Setup

Installation & Deployment

Beginner 8 min

Why You Shouldn't Install OpenClaw on Native Windows

OpenClaw's core runs on CLI tools and Markdown files. Learn why macOS and Linux are the best habitats for your lobster, and what Windows users should do instead.

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Beginner 10 min

Hermes Agent Quick Start | ollama launch hermes

Launch Hermes AI Agent with one command on macOS: automatic install, cloud model selection, and setup โ€” experience an agent with cross-session memory and 70+ built-in skills in minutes.

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Beginner 3 min

Installation Guide: Choose Your Platform

OpenClaw installation entry page. Choose the installation tutorial for your operating system.

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Beginner 20 min

Complete WSL Guide: Give Your Windows Linux Superpowers

WSL (Windows Subsystem for Linux) is the best way for Windows users to install OpenClaw. From installation to configuration to daily use โ€” all in one guide.

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Beginner 15 min

Install OpenClaw on macOS: A Complete Step-by-Step Guide

A step-by-step guide to installing OpenClaw on Mac, covering Homebrew, Python environment, dependencies, and your first launch.

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Beginner 15 min

Hermes Agent Quick Start | Windows + WSL2

Windows guide: run Hermes AI Agent on WSL2 + Ollama with one command. Experience cross-session memory and cloud model speed โ€” no API key required.

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Beginner 15 min

Install OpenClaw on Windows: A Complete Step-by-Step Guide

A step-by-step guide to installing OpenClaw on Windows 10/11, covering Python, WSL, dependencies, and your first launch.

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Beginner 12 min

Deploy OpenClaw to the Cloud: One-Click Zeabur Deployment + KimiClaw Quick Start

Don't want to deal with local setup? Deploy OpenClaw to Zeabur with one click, or try KimiClaw for an instant cloud AI Agent experience.

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Beginner 8 min

Ollama + OpenClaw Quick Start | macOS

A macOS-only guide: use Ollama's free cloud quota to get OpenClaw talking in minutes โ€” no API key setup required at all.

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Beginner 15 min

Ollama + OpenClaw Quick Start | Windows

A Windows-only guide: using WSL + Node 22 and Ollama's free cloud quota to get OpenClaw talking โ€” no API key setup required at all.

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Beginner 20 min

Docker + n8n on Windows: A Complete Pitfall Guide

A beginner-friendly guide to installing Docker, WSL2, and n8n on Windows. Covers the 5 most common failure points with step-by-step fixes, including corporate IT restrictions.

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Beginner 10 min

Docker + n8n on Mac: Complete Setup Guide

The simplest way to run n8n with Docker on macOS. No WSL2, no slash confusion, no line-ending issues โ€” just three commands.

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Basic Usage

Core Features

Integration & Automation

Knowledge & Advanced

Beginner 10 min

Prompt Engineering: Making AI Understand You and Give the Answers You Want

Master the core techniques of prompt engineering โ€” from role-setting to chain-of-thought โ€” and improve the same model's output quality by 10x.

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Beginner 8 min

Which AI Tool Should I Use? 5 Questions to End the Guessing

Wrong tool, wasted effort. Use this decision framework to find the right AI tool for any task in 5 questions โ€” no more guessing or random Googling.

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Intermediate 10 min

Build a Personal Knowledge Management (PKM) System with OpenClaw

Say goodbye to information overload. Use OpenClaw to automatically collect, organize, and review knowledge โ€” make your second brain actually work.

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Intermediate 8 min

AI Reasoning Techniques Explained: Chain-of-Thought, ReAct, and Tree of Thoughts

How did AI learn to 'think'? From Chain-of-Thought to Tree of Thoughts, discover the techniques that boost AI reasoning by 5x, and how OpenClaw uses them.

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Intermediate 10 min

Multi-Agent Collaboration and Swarm Intelligence: When AI Learns Teamwork

A single Agent has limited abilities, but a group of Agents working together can solve complex problems. Learn about Multi-Agent collaboration patterns, swarm intelligence concepts, and how OpenClaw implements multi-role coordination.

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Intermediate 15 min

The Missing Infrastructure of AI Memory: Why Stronger Models Make Agents More Likely to 'Run in Circles'

Memory isn't an add-on feature for AI โ€” it's the core infrastructure that transforms an Agent from a 'tool' into a 'partner.' This article won't walk you through a paper; instead, it helps you think clearly: if you're designing an AI Agent, what problem is the memory layer actually solving?

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Duck Editor's Notes

Beginner 6 min

Tool Calling Is the Real Test: LLMs Move From Talk to Combat

OpenClaw completely changed how we compare LLMs. It's no longer about who writes the prettiest essay, but who dares to use tools โ€” and uses them well. Duck Editor's frontline notes.

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Beginner 5 min

AI Tech Is Racing Ahead: One Bad News, One Good News

Feeling anxious about how fast AI is developing? Don't panic โ€” technology will eventually become products anyone can use. The real question is how you position yourself now.

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Beginner 10 min

Google's Open-Source Powerhouse Gemma 4: Multimodal AI You Can Run Locally

Google open-sourced Gemma 4 in April 2025 โ€” multimodal (text, image, audio), runs on consumer hardware, Apache 2.0 licensed. Free for commercial use. Here's what it means.

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Beginner 6 min

A Skill Is Really the Evolution of GPTs: Three Stages of Packaging AI Instructions

System prompts, GPTs, Gemini Gems, Skills โ€” these are essentially the same thing: packaging instructions for AI to use. Duck Editor's take is that they've all evolved in one direction: more convenient, and less for you to worry about.

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Intermediate 8 min

Dissecting an AI Agent: Skill, Tools, Harness โ€” Why a Good Model Isn't Enough

The same Claude or GPT, dropped into different AI agents โ€” one runs as steady as a seasoned chef, another keeps blowing itself up. The difference often isn't the model, but the layer you can't see: the Harness. Duck Editor takes apart the three layers of an agent.

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Beginner 8 min

Computex 2026: Nvidia Breaks the OpenClaw Bottlenecks โ€” Personal AI Assistant Era Begins

Four months ago I predicted in a course: once the tech matures and good local models arrive, personal AI agents go mainstream โ€” and that will change the history of personal computing. Computex 2026 just proved it.

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