# π ARM64 Claude Code Agent Farms
> Transform $1,300 worth of Raspberry Pis into an enterprise-grade AI automation infrastructure that replaces $10,000+ in cloud costs
## π Documentation Structure
- [[Overview]] - Complete introduction to Pi-based agent farms
- [[Cost-Analysis]] - Detailed ROI calculations and comparisons
- [[Implementation-Guide]] - Step-by-step setup instructions
- [[Use-Cases]] - Real-world applications and examples
- [[Architecture]] - Technical design and scaling strategies
- [[Code-Examples]] - Ready-to-use Python/Node.js implementations
## π Quick Start
```bash
# Clone the repository
git clone https://github.com/nfodor/claude-arm64-browser
cd claude-arm64-browser/docs/agent-farms
# Open in Obsidian
# File -> Open Folder -> Select this directory
```
## π‘ Why Agent Farms?
Traditional cloud-based AI automation is expensive and inefficient. With ARM64 browser automation, you can:
- **Save 84%** on infrastructure costs over 3 years
- **Own your hardware** - no vendor lock-in
- **Scale linearly** - add nodes for $80 each
- **Reduce power consumption** by 90%
## π― Perfect For
- **Startups**: Enterprise capabilities on bootstrap budgets
- **Agencies**: Client work with massive margins
- **Researchers**: Distributed data collection
- **Enterprises**: Reduce cloud spend dramatically
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*This documentation is designed for [Obsidian](https://obsidian.md/) with wiki-style links. Each section can be read independently or as part of the complete guide.*