OpenClaw Setup Guide
Build your own AI assistant like Jarvis
This guide walks you through setting up a personal OpenClaw agent from zero to production. Expected time: 2-3 hours. Monthly cost: $30-60.
1Overview
OpenClaw is a self-hosted AI agent platform. Unlike ChatGPT or Claude, it runs on YOUR infrastructure with YOUR data. You control everything: memory, tools, integrations, and privacy.
What You'll Build
A personal AI assistant that can read your files, send messages, browse the web, manage projects, and learn from conversations. Think Jarvis from Iron Man, but real and under your control.
Prerequisites
- Basic command line comfort
- A credit card for hosting ($30-60/month)
- API keys for AI models (OpenAI, Anthropic, or local)
- 2-3 hours of setup time
2Choose Hosting $20-50/month
⚠️ Hardware Requirements
Minimum: 2GB RAM, 20GB storage, 1 CPU core
Recommended: 4GB RAM, 50GB storage, 2 CPU cores
The agent uses memory for conversation context and file caching. More RAM = longer conversations without forgetting.
3Install OpenClaw
Option A: Railway (Recommended)
- Fork the OpenClaw repo
- Connect your Railway account to GitHub
- Deploy from your fork with one click
- Set environment variables in Railway dashboard
Option B: Docker
# Clone the repository
git clone https://github.com/openclaw/openclaw.git
cd openclaw
# Copy environment template
cp .env.example .env
# Edit your configuration
nano .env
# Start the container
docker-compose up -d
Option C: Direct Install
# Install Node.js 18+
curl -fsSL https://deb.nodesource.com/setup_18.x | sudo -E bash -
sudo apt-get install -y nodejs
# Clone and setup
git clone https://github.com/openclaw/openclaw.git
cd openclaw
npm install
npm run setup
4Configure Your Agent
Required Environment Variables
# AI Provider (pick one)
ANTHROPIC_API_KEY=your_key_here
OPENAI_API_KEY=your_key_here
# Agent Identity
AGENT_NAME=YourAgentName
AGENT_PERSONA=helpful_assistant
# Security
JWT_SECRET=random_32_char_string
ADMIN_PASSWORD=secure_password
# Optional Integrations
TELEGRAM_BOT_TOKEN=your_bot_token
GITHUB_TOKEN=your_github_pat
🔐 Security First
- Use strong passwords (16+ characters)
- Never commit API keys to git
- Enable 2FA on all connected accounts
- Regularly rotate secrets
AI Model Configuration
OpenClaw supports multiple AI providers. Choose based on your needs:
- Anthropic Claude: Best reasoning, safety-focused
- OpenAI GPT-4: Most capable, widely supported
- Local models: Privacy-focused, requires powerful hardware
5Create Your Workspace
The workspace is your agent's brain - where it stores memory, learns from conversations, and keeps project files.
Essential Files
SOUL.md- Your agent's personality and valuesMEMORY.md- Long-term memory and learningsTOOLS.md- Available skills and integrationsUSER.md- Information about you (preferences, context)
Sample SOUL.md
# SOUL.md - Who You Are
You are a helpful AI assistant named [YourAgentName].
## Core Values
- Be genuinely helpful, not performatively helpful
- Protect user privacy and data
- Learn from mistakes and improve
- Be honest about limitations
## Personality
- Direct but kind communication style
- Curious about learning and improving
- Protective of user's time and attention
## Boundaries
- Never access private data without permission
- Ask before taking external actions
- Respect user's work-life balance
6Deploy & Test
First Boot
- Start your OpenClaw instance
- Visit the web dashboard (usually port 3000)
- Complete the initial setup wizard
- Test basic commands: "Hello", "What can you do?"
Integration Testing
- Test file operations: "Read my SOUL.md file"
- Test web browsing: "Search for OpenClaw documentation"
- Test memory: "Remember that my favorite color is blue"
- Test tools: "Create a simple Python script"
🎉 Success Indicators
- Agent responds to basic commands
- Web dashboard loads without errors
- File operations work correctly
- Memory persists between sessions
7Set Up Monitoring
Keep your agent healthy with automated monitoring and backups.
Built-in Health Checks
- Memory usage tracking
- API rate limit monitoring
- Error log analysis
- Response time metrics
Backup Strategy
- Workspace backup: Git sync to private repository
- Configuration backup: Environment variables stored securely
- Database backup: Automated daily snapshots
Alert Setup
# Add to your cron or Railway monitoring
# Check agent health every 5 minutes
*/5 * * * * curl -f https://your-agent-domain.com/health || notify-failure
8Monthly Cost Breakdown
💰 Typical Monthly Costs
- Hosting: $20-50 (Railway Pro or equivalent)
- AI API: $10-30 (varies by usage)
- Integrations: $5-15 (optional services)
- Domain: $1 (if using custom domain)
Total: $36-96/month depending on usage and features.
Cost Optimization Tips
- Start with smaller hosting plans and scale up
- Monitor AI API usage and set spending limits
- Use local models for development and testing
- Implement response caching for repeated queries