Reagent Systems

A cutting-edge AI company focused on decentralized federated learning networks and intelligent agent systems. We develop quantized language models, autonomous agents, and privacy-preserving AI applications.

🚀 About

Reagent Systems is pioneering the future of AI with our innovative approach to decentralized federated learning. Our platform combines FP4 quantized models, forward-forward algorithms, and privacy-preserving agents to create a new paradigm in AI development.

Core Technologies

• Decentralized Federated Learning Networks - Privacy-preserving collaborative AI training
• FP4 Quantized Language Models - Ultra-efficient model compression
• Forward-Forward Algorithm - Hinton's revolutionary training method
• Edge Computing Optimization - Deploy AI anywhere
• Privacy-Preserving Agents - Autonomous AI with built-in privacy

🏗️ Project Structure

reagent-website-minimalist/
├── src/
│   ├── routes/           # SvelteKit pages
│   │   ├── +page.svelte  # Home page
│   │   ├── agent/        # AI Agent showcase
│   │   ├── app/          # Application demos
│   │   ├── data/         # Data processing tools
│   │   ├── model/        # Model architecture
│   │   ├── team/         # Team information
│   │   ├── vision/       # Company vision & roadmap
│   │   └── waitlist/     # Signup page
│   ├── lib/              # Shared utilities
│   └── app.html          # Base HTML template
├── static/               # Static assets
│   ├── favicon.svg       # Site icon
│   ├── sitemap.xml       # SEO sitemap
│   ├── robots.txt        # Search engine directives
│   ├── llm.txt           # AI model documentation
│   ├── humans.txt        # Team transparency
│   ├── manifest.json     # PWA manifest
│   └── .well-known/      # Security & standards
├── e2e/                  # End-to-end tests
└── exploration/          # Development notes

🛠️ Tech Stack

• Frontend: SvelteKit + TypeScript
• Styling: Tailwind CSS + Custom CSS
• Testing: Playwright + Vitest
• Build Tool: Vite
• Deployment: Static site generation
• SEO: Comprehensive meta tags, structured data, sitemaps

🚀 Getting Started

Prerequisites

• Node.js 18+
• npm, yarn, or pnpm

Installation

# Clone the repository
git clone https://github.com/reagent-systems/reagent-website-minimalist.git
cd reagent-website-minimalist

# Install dependencies
npm install

# Start development server
npm run dev

# Open in browser
npm run dev -- --open

Development Commands

# Development server
npm run dev

# Build for production
npm run build

# Preview production build
npm run preview

# Run tests
npm run test

# Run e2e tests
npm run test:e2e

# Check types
npm run check

# Lint code
npm run lint

📱 Features

Core Pages

• Home - Company overview and navigation
• Vision - Technical proposals and roadmap
• Team - Team member profiles
• Agent - AI agent demonstrations
• App - Application showcases
• Data - Data processing tools
• Model - Model architecture details
• Waitlist - User signup system

Technical Features

• Responsive Design - Mobile-first approach
• Dark Theme - Custom #0F0F0F background
• SEO Optimized - Comprehensive meta tags and structured data
• PWA Ready - Manifest and service worker ready
• Accessibility - ARIA labels and keyboard navigation
• Performance - Fast loading with SvelteKit

SEO Features

• XML Sitemap - All routes with priorities
• Robots.txt - Search engine directives
• LLM.txt - AI model documentation
• Structured Data - JSON-LD markup
• Open Graph - Social media sharing
• Twitter Cards - Rich Twitter previews

👥 Team

Core Team

• ThyFriendlyFox - Founder & Lead Developer
• BentlyBro - Developer
• COWTEAH - Developer
• SpikeFelion - Developer
• Rubick - Developer

Background

Founded in 2023 from the AutoGPT research and development lab, our team has developed three apps, three agents, and a framework for training LLM models on Apple Silicon hardware. We specialize in multi-agent systems, self-improving agents, and privacy-preserving AI solutions.

🎯 Mission

Our mission is to democratize AI by making it:

• Private - Federated learning keeps data local
• Efficient - Quantized models reduce costs by 10-100x
• Accessible - Edge deployment on any device
• Scalable - Decentralized training networks

🔬 Research Focus

Technical Innovation

• FP4 Quantization - 1.58-bit precision models
• Forward-Forward Algorithm - Hinton's biological learning
• Ternary Weights - Extreme model compression
• Federated Learning - Privacy-preserving training
• Edge Computing - On-device AI deployment

Use Cases

• Mobile AI - Privacy-preserving mobile applications
• IoT Devices - Embedded AI on microcontrollers
• Edge Computing - Distributed AI networks
• Hardware Modules - Soldered AI components

📈 Roadmap

Phase 1: Foundation ✅

• Website development
• Team formation
• Core technology research
• Initial agent development

Phase 2: Development 🚧

• Federated learning network
• FP4 model implementation
• Agent framework completion
• Mobile app development

Phase 3: Deployment 🎯

• Edge device deployment
• Hardware module development
• Commercial partnerships
• Open source releases

🤝 Contributing

We welcome contributions! Please see our Contributing Guidelines for details.

Development Process

1. Issue Identification - Automated tracking with background agents
2. Open Discussion - Team collaboration on solutions
3. Experimentation - Rapid prototyping and testing
4. Implementation - 20-minute deployment target
5. Documentation - Comprehensive updates and announcements

📄 License

This project is open source. See LICENSE for details.

🔗 Links

• Website: https://reagent-systems.com
• Vision: https://reagent-systems.com/vision
• Team: https://reagent-systems.com/team
• Waitlist: https://reagent-systems.com/waitlist
• GitHub: https://github.com/reagent-systems

📞 Contact

• Email: contact@reagent-systems.com
• Security: security@reagent-systems.com
• Twitter: @reagent_systems
• GitHub: reagent-systems

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Built with ❤️ by Team Reagent