---
title: "Clawdbot (OpenClaw): Complete Setup Guide + Security Concerns You Need to Know"
description: "Everything about Clawdbot/OpenClaw - the viral AI assistant with 100k+ GitHub stars. Includes step-by-step setup, security risks (1,800+ exposed instances), and how to protect yourself."
date: "2026-01-31"
tags: [ai, clawdbot, openclaw, personal-assistant, open-source, self-hosted, security, privacy]
---
**Tags:** ai, clawdbot, openclaw, personal-assistant, open-source, self-hosted

If you've been anywhere near tech Twitter or GitHub in the past few weeks, you've probably heard about **Clawdbot** - the open-source personal AI assistant that shattered GitHub records with over 100,000 stars in just two months.

Now renamed to **OpenClaw** (after a trademark request from Anthropic), this project represents a fundamental shift in how we think about AI assistants.

## What Is Clawdbot/OpenClaw?

OpenClaw is an **open-source, self-hosted personal AI assistant** created by Peter Steinberger (@steipete), founder of PSPDFKit.

Unlike ChatGPT or Claude that live in browser tabs, OpenClaw:
- **Runs on YOUR hardware** - your data stays local
- **Integrates with messaging apps** - WhatsApp, Telegram, Discord, Slack, Signal, iMessage
- **Actually does things** - not just chat, but execute actions

Think of it as "Claude with hands."

## Why Did It Go Viral?

The numbers are staggering:
- **9,000 GitHub stars** in the first 24 hours
- **80,000+ stars** within days
- **100,000+ stars** within two months
- One of the **fastest-growing open-source projects ever**

The appeal? People are tired of:
1. Sending their data to cloud AI services
2. AI that can only talk, not act
3. Being locked into single platforms

OpenClaw solves all three.

## Key Features

### Multi-Platform Messaging
Works with channels you already use:
- WhatsApp
- Telegram
- Discord
- Slack
- Signal
- iMessage
- Microsoft Teams
- Google Chat

### 50+ Service Integrations
- **Email**: Gmail, Outlook
- **Calendar**: Google Calendar
- **Tasks**: Todoist, Notion
- **Smart Home**: Philips Hue
- **Dev Tools**: GitHub, terminal commands
- **Creative**: ElevenLabs, image generation
- **Fitness**: Health tracking

### Privacy-First Architecture
- Self-hosted on your own devices
- No data sent to third-party servers
- Works with local LLMs via Docker Model Runner
- Complete control over your information

## The Name Change Drama

On January 27, 2026, Anthropic (makers of Claude) sent a trademark request. The original name "Clawdbot" was too close to "Claude."

Steinberger's response was characteristically upbeat: "Anthropic asked us to change our name (trademark stuff), and honestly? 'Molt' fits perfectly—it's what lobsters do to grow."

The project went through:
1. **Clawdbot** (original)
2. **Moltbot** (brief transition)
3. **OpenClaw** (current)

## How to Get Started

### Prerequisites
- Docker installed
- A machine that can run 24/7 (old laptop, Raspberry Pi, NAS, etc.)
- API keys for LLM provider (or run local models)

### Quick Setup
```bash
# Clone the repository
git clone https://github.com/clawdbot/clawdbot.git
cd clawdbot

# Configure your channels
cp .env.example .env
# Edit .env with your API keys and channel configs

# Run with Docker
docker-compose up -d
```

### Connect Your First Channel
1. Start with Telegram (easiest setup)
2. Create a bot via @BotFather
3. Add the token to your config
4. Message your bot - OpenClaw responds!

## Running Fully Local (No Cloud APIs)

The killer feature for privacy advocates: run everything locally.

```bash
# Use Docker Model Runner for local LLMs
docker model pull llama3.2

# Configure OpenClaw to use local model
# In .env:
LLM_PROVIDER=docker-model-runner
LLM_MODEL=llama3.2
```

Now your AI assistant never sends data anywhere.

## What Can It Actually Do?

Real examples from users:
- "Check me in for my flight tomorrow" ✅
- "Turn off the living room lights" ✅
- "Summarize my unread emails" ✅
- "Create a GitHub issue for this bug" ✅
- "Add milk to my shopping list" ✅
- "What's on my calendar this week?" ✅

It's not just answering questions - it's taking actions.

## The Bigger Picture

OpenClaw represents a trend: **AI moving from cloud to edge**.

Why this matters:
1. **Privacy**: Your data, your control
2. **Customization**: Modify the code, add integrations
3. **Reliability**: Works offline, no API outages
4. **Cost**: No per-token charges after setup

We're seeing the beginning of truly personal AI - assistants that know everything about you because you trust them with that data, running on hardware you own.

## Should You Use It?

**Yes, if you:**
- Value privacy and data ownership
- Are comfortable with Docker/self-hosting
- Want an AI that integrates with your life
- Like tinkering with open-source projects

**Maybe wait if you:**
- Need plug-and-play simplicity
- Don't have hardware to run it 24/7
- Are happy with cloud AI assistants

## Resources

- [Official Website](https://clawd.bot/)
- [GitHub Repository](https://github.com/clawdbot/clawdbot)
- [Docker Model Runner Integration](https://www.docker.com/blog/clawdbot-docker-model-runner-private-personal-ai/)

---

*Source: hereshecodes.app by Danielle Hoopes*
