The Complete Guide to OpenClaw — Build Your Own AI Assistant

The Complete Guide to OpenClaw — Build Your Own AI Assistant

Discover OpenClaw, the open-source AI assistant platform. Multi-channel, multi-model, node system, and more — your complete guide to self-hosted AI.

📚 Series: Mastering OpenClaw

  • Part 1: Introduction (this post) — What is OpenClaw and why is it special?
  • Part 2: Tutorial — From installation to your first conversation
  • Part 3: Practical Usage — Skills, automation, and advanced workflows

🤖 The Age of AI Assistants — Why OpenClaw?

ChatGPT, Claude, Gemini… Chances are you’ve already used at least one AI chatbot. But have you ever thought:

“Can I use this AI directly in my Telegram?"
"What if AI could control my phone’s camera?"
"I’m not comfortable with my data sitting on someone else’s server…"
"Can I freely switch between multiple AI models?”

There’s a project built precisely to solve these problems. Meet OpenClaw 🦞.

Today, I’ll walk you through what OpenClaw is, what makes it special, and who it’s the perfect fit for!


🦞 What is OpenClaw?

OpenClaw is an open-source personal AI assistant platform.

In simple terms, it’s a system that lets you attach your own AI assistant to the messengers you already use — Telegram, WhatsApp, Discord, and more. You pick and connect AI models yourself, add various tools and skills, and build your own workflows.

ItemDetails
LicenseMIT (completely free to use)
GitHubgithub.com/openclaw/openclaw
Official Docsdocs.openclaw.ai
CreatorsPeter Steinberger (@steipete), Mario Zechner (Pi creator)
Skill MarketplaceClawHub
CommunityDiscord — discord.gg/clawd

Since it’s MIT-licensed, individuals and companies alike can freely use and modify it. The community is actively growing, so if you have questions, hop into the Discord! 💬

Exploring the GitHub Repository

Below is the main page of OpenClaw’s GitHub repository. The README provides an overview of the project structure and a quick-start guide.

OpenClaw GitHub repository — README and project structure at a glance


✨ Key Features

📱 Multi-Channel — Chat with AI from Anywhere

One of OpenClaw’s biggest draws is its channel diversity.

  • WhatsApp — WhatsApp Web protocol integration via Baileys
  • Telegram — grammY-based Bot API (DM + groups)
  • Discord — discord.js-based Bot API (DM + server channels)
  • iMessage — macOS imsg CLI integration
  • Mattermost — Bot integration via plugin
  • Slack, Signal, MS Teams — Additional plugins
  • WebChat — Local chat UI accessible directly from your browser

No need to install separate apps — you can use your AI assistant right from the messengers you already use. Just message the AI like you’d message a friend on Telegram.

💻 Multi-Platform

  • macOS — Native app + menubar companion
  • iOS — Node app with pairing + Canvas surface
  • Android — Node app with Canvas + Chat + Camera
  • Windows — Native support (WSL2 compatible too)
  • Linux — Native + server deployment

Virtually all major platforms are supported.

🏗️ Gateway Architecture

The heart of OpenClaw is the Gateway. It operates as a single control plane, connecting all channels and tools through ws://127.0.0.1:18789.

The Gateway’s core responsibilities:

  • Channel connection management — Owns WebSocket connections for all messenger channels
  • Agent bridge — RPC communication with the Pi coding agent
  • Tool routing — Relays tool calls for browser, file system, cron, and more
  • Session management — DMs route to a shared main session; groups get isolated sessions
  • Canvas host — Serves node WebView UIs at http://<gateway>:18793
  • Dashboard — Browser-based Control UI at http://127.0.0.1:18789/ for configuration

🧠 Multi-Model AI Support

  • Anthropic Claude (Opus, Sonnet, Haiku)
  • OpenAI (GPT-4o, GPT-5, o1, etc.)
  • Google Gemini
  • Amazon Bedrock for model access
  • Subscription Auth — Claude Pro/Max, ChatGPT/Codex OAuth integration

You’re not locked into a single model. Switch freely based on your needs — assign cheaper models for cron jobs and high-performance models for critical analyses. Model routing makes this effortless.

🔧 Powerful Tool Set

OpenClaw’s built-in tools aren’t just plugins — they’re the means through which the agent actually interacts with the world.

ToolDescription
🌐 browserAI directly browses and manipulates web pages (incl. Chrome extension relay)
🎨 canvasAgent-controlled visual workspace — renders UI on node WebViews
cronBuilt-in Gateway scheduler for one-off reminders to recurring tasks
🔗 webhooksReal-time integration with external services (GitHub, Gmail, etc.)
🧠 memory_searchNatural-language search over past conversations and stored info
💬 messageSend, edit, and react to messages across channels
📱 nodesRemote control of iOS/Android/macOS devices
🖥️ execShell command execution (PTY support, security approval system)
📝 read/write/editDirect file system manipulation
🔍 web_search/web_fetchWeb search and page content extraction
🎤 ttsText-to-speech conversion

🛒 Skills System & ClawHub

OpenClaw features a skills system compatible with the AgentSkills format, letting you install skills created by others from the ClawHub marketplace or share your own.

ClawHub — OpenClaw skill marketplace. Skills for Trello, Slack, Calendar and more are available

Skills are loaded from three locations (in priority order):

  1. Workspace skills (<workspace>/skills/) — Highest priority
  2. Managed skills (~/.openclaw/skills/) — Shared across all agents
  3. Bundled skills — Default skills included in the OpenClaw package

Installing a skill takes just one line:

npx clawhub@latest install <skill-name>

📲 Node System

Connect iOS, Android, and macOS devices as nodes to let AI interact with the physical world:

FeatureDescription
📷 Camera snapCapture from front/rear cameras
🎬 Camera clipRecord short video clips
🖥️ Screen recordingCapture the current screen
🔔 Push notificationsSend system/overlay/auto notifications
📍 LocationGPS location query (coarse/balanced/precise)
📱 SMSSend SMS from Android nodes
⌨️ Command executionRun shell commands on the node host (Exec approval required)

Nodes connect via Gateway WebSocket and must go through pairing approval before activation. Your phone becomes the AI’s eyes and ears!

🤖 Multi-Agent System

OpenClaw can run multiple agents simultaneously from a single Gateway.

  • Per-agent workspaces — Each agent gets its own isolated workspace
  • Per-agent sandboxes — Docker-based isolated execution environments
  • Per-agent tool restrictions — Block exec for certain agents while allowing only read
  • Binding rules — WhatsApp Group A → work agent, Telegram DM → personal agent
  • Sub-agents — Main agent delegates background tasks to sub-agents

🎙️ Voice Wake + Talk Mode

Chat with AI using just your voice — no keyboard needed. Trigger it with the macOS app’s wake word feature, then continue with natural conversation in Talk Mode.


🏛️ Architecture at a Glance

graph TD
    User["👤 User<br/>WhatsApp · Telegram · Discord<br/>iMessage · WebChat · Slack"]
    Gateway["🦞 OpenClaw Gateway<br/>ws://127.0.0.1:18789<br/>WebSocket Control Plane"]
    AI["🧠 AI Models<br/>Claude · GPT-4o/5<br/>Gemini · Bedrock"]
    Tools["🔧 Tool Set<br/>browser · canvas · cron<br/>webhooks · memory · exec"]
    Nodes["📱 Node System<br/>iOS · Android · macOS · Linux<br/>Camera · Location · Notifications · Exec"]

    User -->|"Messages"| Gateway
    Gateway --> AI
    Gateway --> Tools
    Tools --> Nodes

Core principles:

  • Loopback-first: Gateway WS binds to localhost by default
  • One Gateway, one host: Prevents WhatsApp Web session ownership conflicts
  • Token-based auth: Token required for non-local bindings
  • Tailscale/VPN: SSH tunnel or Tailnet recommended for remote access

🆚 How Is It Different from Other AI Assistants?

ComparisonChatGPT / Claude AppsOpenClaw
HostingCloud (third-party servers)Self-hosted (your own computer)
Data PrivacyStored on their serversStored locally only 🔒
ChannelsDedicated app/web onlyTelegram, Discord, and other existing messengers
AI ModelsThat company’s models onlyClaude, GPT, Gemini — free choice
ExtensibilityLimited (plugin store)Skills, webhooks, cron, MCP, custom tools
Device Control❌ Not possibleCamera, screen, location, command execution
Automation❌ Not possibleCron, heartbeats, webhooks
Multi-Agent❌ Not possiblePer-agent routing, sandboxes
Open SourceMIT License

The core difference in one line:

“Not borrowing someone else’s service — an AI assistant running on your infrastructure, by your rules.”


🎯 Who Is OpenClaw For?

  • 🔐 Privacy-conscious users — All data stays on your computer
  • 🛠️ Automation-loving developers — Infinite extensibility with cron, webhooks, skills, and MCP
  • 📱 Multi-messenger users — Same AI assistant whether you’re on Telegram or Discord
  • 🤓 Hands-on AI enthusiasts — It’s open source, so you can understand it at the code level
  • 🏠 Home automation fans — IoT-like capabilities through the Node system
  • 👨‍💼 Team leads looking to adopt AI — Role-based AI operations via multi-agent
  • 🔧 Those wanting AI in existing workflows — Easy integration with webhooks, n8n, Make, etc.

On the flip side, if you’re satisfied with “occasionally asking questions on ChatGPT’s web interface,” you probably don’t need OpenClaw. OpenClaw is built for people who want to deeply integrate AI into their lives.


🌍 Project Ecosystem

OpenClaw isn’t a standalone project — it’s an ecosystem composed of multiple components:

ComponentRole
OpenClaw GatewayCore runtime — channel, tool, and agent management
PiCoding agent engine — communicates with Gateway via RPC mode
ClawHubSkill registry — search, install, update, and share
OpenClaw.appmacOS desktop app — menubar + Voice Wake
OpenClaw iOSiPhone/iPad node app — Canvas + Camera
OpenClaw AndroidAndroid node app — Canvas + Chat + Camera
Official Docsdocs.openclaw.ai — comprehensive guide

📢 Coming Up Next

In this post, we explored what OpenClaw is and what makes it special.

In Part 2: Tutorial, we’ll walk through installing and configuring OpenClaw step by step!

  • Installing Node.js & Gateway onboarding
  • Connecting and pairing a Telegram channel
  • Starting your first AI conversation
  • Understanding the workspace file structure

🦞 “Seeing is believing — running is knowing.” — Let’s fire it up in the next post!


If you found this post helpful, please share it! Questions are welcome in the Discord community. 🙌

Read in Other Languages

Was this helpful?

Your support helps me create better content. Buy me a coffee! ☕

About the Author

JK

Kim Jangwook

Full-Stack Developer specializing in AI/LLM

Building AI agent systems, LLM applications, and automation solutions with 10+ years of web development experience. Sharing practical insights on Claude Code, MCP, and RAG systems.