❓ Q&A Forum

Getting started with OpenClaw is easy! Follow these steps:

1. Complete our 15-minute quick start guide
2. Install your first skill from the skills library
3. Explore tutorials to learn common workflows
4. Join the community discussions to get help

Most users are up and running within 15-30 minutes!

OpenClaw is designed to be lightweight and run on most systems:

• OS: macOS, Linux, Windows (WSL2 recommended)
• RAM: 2GB minimum, 4GB+ recommended
• Storage: 500MB for core installation
• Python: Python 3.9 or higher
• Optional: Docker for containerized deployments

For heavy automation workloads, we recommend 8GB+ RAM and a solid-state drive.

OpenClaw itself is completely free and open source! Here's the cost breakdown:

• OpenClaw Platform: Free (no usage limits, no tiered pricing)
• Claude API: Pay per use (typically $0.003 per 1K tokens)
• Infrastructure: Your own server or cloud (can be as low as $5/month)

For comparison, using OpenClaw costs 70% less than SaaS automation tools on average. See our cost comparison for details.

Yes! While OpenClaw is developer-first, we have resources for beginners:

• Beginner-friendly tutorials: Start with our Quick Start and File Automation Basics
• Pre-built skills: Use ready-made skills from the library without modification
• Learning paths: Follow our structured Beginner Path
• Community support: Get help in our Q&A forum

For advanced automation, basic Python or JavaScript knowledge is helpful but not required to get started.

Absolutely! OpenClaw is used by enterprises for:

• Self-hosted deployment: Full control over data and infrastructure
• Scalability: Handle thousands of automations per hour
• Security: Enterprise-grade security with on-premise deployment options
• Compliance: Meet GDPR, SOC2, and other regulatory requirements
• Support: Community support and enterprise options available

See our success stories for enterprise use cases.

We provide comprehensive production deployment guidance:

1. Read our Production Deployment tutorial
2. Set up monitoring and error handling
3. Configure retry logic and failover mechanisms
4. Implement proper logging and alerting
5. Test thoroughly in staging environment first

For containerized deployment, OpenClaw works great with Docker, Kubernetes, and most cloud platforms.

Browse our extensive skills library:

• Skill Library: Explore 500+ skills organized by category
• Skill Bundles: Pre-configured kits for common use cases
• Showcase: Community submissions with real examples

Can't find what you need? Request a skill or build your own with our custom skill guide.

We have multiple support channels:

• Q&A Forum: Ask the community (avg response: less than 2 hours)
• GitHub Discussions: Join the conversation
• Troubleshooting: Common issues and solutions
• Documentation: Comprehensive tutorials and guides

When asking for help, include your code, error messages, and what you've already tried. This helps us assist you faster!