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@Catalyst-Local-Ai

Catalyst Local Ai

Catalyst

Simplify AI model deployment with Docker and Ollama

Catalyst makes it effortless to deploy, manage, and scale AI models using Docker containers and Ollama. No complex configurations, no deployment headaches – just simple, powerful tools that get your models running fast.

🚀 Quick Start

# Install Catalyst CLI
pip install catalyst-cli

# Initialize a new project
catalyst init my-ai-app

# Start your services
catalyst start

📦 Repositories

Repository Description Status
catalyst-cli Command-line interface for managing deployments 🚧 In Development
catalyst-core Shared libraries and utilities 🚧 In Development
catalyst-web Official website and documentation 📋 Planned
catalyst-docs Documentation and guides 📋 Planned

✨ Features

  • One-Command Deployment – Get your AI models running with a single command
  • Docker Integration – Leverage Docker's containerization for consistent deployments
  • Ollama Support – Seamless integration with Ollama for local AI model serving
  • Simple Configuration – YAML-based configs that just make sense
  • Cross-Platform – Works on Windows, macOS, and Linux

🎯 Use Cases

  • Local Development – Quickly spin up AI models for testing and development
  • Production Deployment – Scale your models with Docker container orchestration
  • Team Collaboration – Share consistent development environments
  • Model Experimentation – Try different models without complex setup

🛠️ Technology Stack

  • Languages: Python, JavaScript/TypeScript
  • Containerization: Docker, Docker Compose
  • AI Runtime: Ollama
  • Documentation: Markdown, Static Site Generators

🤝 Contributing

We welcome contributions! Whether you're fixing bugs, adding features, or improving documentation, your help makes Catalyst better for everyone.

Getting Started

  1. Check out the repository you want to contribute to
  2. Read the contributing guidelines in each repo
  3. Fork, make changes, and submit a pull request

Development Setup

Each repository has its own setup instructions, but here's the general process:

  1. Clone the repository
  2. Install dependencies
  3. Run tests
  4. Start coding!

📖 Documentation

  • Getting Started Guide – Learn the basics in 5 minutes
  • CLI Reference – Complete command documentation
  • API Documentation – For developers building on Catalyst
  • Examples & Tutorials – Real-world use cases and walkthroughs

🗺️ Roadmap

Phase 1: Core Functionality

  • Project initialization
  • CLI core commands (start, stop, status)
  • Docker integration
  • Ollama integration

Phase 2: Enhanced Features

  • Configuration management
  • Logging and monitoring
  • Multi-environment support
  • Web interface

Phase 3: Ecosystem

  • Plugin system
  • Community templates
  • Cloud deployment options
  • Enterprise features

💬 Community

  • GitHub Discussions – Ask questions and share ideas
  • Issues – Report bugs and request features
  • Discord – Real-time chat with the community (coming soon)

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🙏 Acknowledgments

Built with love for the AI and developer community. Special thanks to:

  • The Ollama team for making local AI accessible
  • Docker for revolutionizing containerization
  • All our contributors and users

Ready to simplify your AI deployment? Get started with Catalyst CLI →

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