akupara/AKUPARA_SETUP.md

AI container orchestration platform

# Akupara - Project Setup Guide

**Akupara**: The world turtle from Hindu mythology that supports the universe - perfect metaphor for an AI container platform that supports multiple AI models.

## Overview
Akupara is an AI container orchestration platform that allows running multiple AI coding assistants (Claude, GPT-4, Gemini, etc.) in containerized environments.

## Name Availability Status ✅

### Package Managers
- **GitHub**: ✅ Available (only tiny projects with 0-1 stars)
- **npm**: ✅ Completely available
- **PyPI**: ✅ No package exists
- **Docker Hub**: ✅ Available

### Domains
- `akupara.ai` ✅

## Step-by-Step Setup Instructions

### 1. Create GitHub Repository
```bash
# Create private repository
gh repo create akupara --private \
  --description "AI container orchestration platform - The world turtle that supports all AI models" \
  --clone

# If you want to create under an organization
gh repo create YOUR_ORG/akupara --private \
  --description "AI container orchestration platform - The world turtle that supports all AI models" \
  --clone
```

### 2. Reserve npm Package Name

Create a minimal `package.json`:
```json
{
  "name": "akupara",
  "version": "0.0.1",
  "description": "AI container orchestration platform",
  "keywords": ["ai", "container", "orchestration", "claude", "gpt", "docker"],
  "homepage": "https://github.com/YOUR_USERNAME/akupara",
  "repository": {
    "type": "git",
    "url": "git+https://github.com/YOUR_USERNAME/akupara.git"
  },
  "author": "Your Name <your.email@example.com>",
  "license": "MIT",
  "private": false,
  "main": "index.js",
  "scripts": {
    "test": "echo \"Error: no test specified\" && exit 1"
  }
}
```

Create a minimal `index.js`:
```javascript
console.log('Akupara - AI container orchestration platform (coming soon)');
```

Create a `README.md` for npm:
```markdown
# Akupara

AI container orchestration platform - Coming soon!

This package name is reserved for the upcoming Akupara project.
```

Publish to npm:
```bash
npm login
npm publish
```

### 3. Reserve PyPI Package Name

Create directory structure:
```bash
mkdir -p akupara-pypi/akupara
cd akupara-pypi
```

Create `setup.py`:
```python
from setuptools import setup, find_packages

setup(
    name="akupara",
    version="0.0.1",
    author="Your Name",
    author_email="your.email@example.com",
    description="AI container orchestration platform",
    long_description="AI container orchestration platform - The world turtle that supports all AI models. Coming soon!",
    long_description_content_type="text/markdown",
    url="https://github.com/YOUR_USERNAME/akupara",
    packages=find_packages(),
    classifiers=[
        "Development Status :: 1 - Planning",
        "Intended Audience :: Developers",
        "License :: OSI Approved :: MIT License",
        "Programming Language :: Python :: 3",
        "Programming Language :: Python :: 3.8",
        "Programming Language :: Python :: 3.9",
        "Programming Language :: Python :: 3.10",
        "Programming Language :: Python :: 3.11",
    ],
    python_requires=">=3.8",
)
```

Create `akupara/__init__.py`:
```python
"""Akupara - AI container orchestration platform"""
__version__ = "0.0.1"

def main():
    print("Akupara - AI container orchestration platform (coming soon)")
```

Create `README.md`:
```markdown
# Akupara

AI container orchestration platform - Coming soon!

This package name is reserved for the upcoming Akupara project.
```

Build and upload to PyPI:
```bash
pip install twine build
python -m build
twine upload dist/*
```

### 4. Create Docker Hub Repository

1. Go to https://hub.docker.com/
2. Sign in to your account
3. Click "Create Repository"
4. Name: `akupara`
5. Description: "AI container orchestration platform - The world turtle that supports all AI models"
6. Visibility: Public (to reserve the name)

Or use Docker CLI:
```bash
# Create a simple Dockerfile
echo "FROM alpine:latest
RUN echo 'Akupara - Coming soon'" > Dockerfile

# Build and push
docker build -t YOUR_DOCKERHUB_USERNAME/akupara:placeholder .
docker push YOUR_DOCKERHUB_USERNAME/akupara:placeholder
```

### 5. Register Domain

Register the domain:
1. Go to your preferred domain registrar (Namecheap, GoDaddy, Cloudflare, etc.)
2. Register `akupara.ai`

### 6. Initial Project Structure

```
akupara/
├── README.md
├── LICENSE
├── .gitignore
├── docker-compose.yml
├── Dockerfile
├── package.json           # For npm package
├── setup.py              # For PyPI package
├── docs/
│   └── README.md
├── src/
│   ├── akupara/
│   │   ├── __init__.py
│   │   ├── core/
│   │   ├── containers/
│   │   └── orchestrator/
│   └── cli/
│       └── index.js
├── chambers/             # AI-specific configurations
│   ├── claude/
│   ├── gpt4/
│   └── gemini/
├── examples/
│   └── basic-usage/
└── tests/
```

### 7. Create Initial Files

**.gitignore**:
```
# Node
node_modules/
npm-debug.log*
yarn-error.log*

# Python
__pycache__/
*.py[cod]
*$py.class
dist/
build/
*.egg-info/

# Docker
.docker/

# Environment
.env
.env.local
.env.*.local

# IDE
.vscode/
.idea/
*.swp
*.swo

# OS
.DS_Store
Thumbs.db

# Logs
logs/
*.log

# API Keys
*.key
config/secrets/
```

**README.md**:
```markdown
# Akupara 🐢

> The world turtle that supports all AI models

Akupara is an AI container orchestration platform that enables seamless deployment and management of multiple AI coding assistants (Claude, GPT-4, Gemini, and more) in containerized environments.

## Features (Planned)

- 🐳 **Multi-AI Support**: Run different AI models in isolated containers
- 🔄 **Easy Switching**: Seamlessly switch between AI assistants
- 🛡️ **Isolated Environments**: Each AI runs in its own secure container
- 📦 **Simple Deployment**: One command to deploy any AI model
- 🎛️ **Unified Interface**: Common CLI for all AI interactions
- 🔧 **Extensible**: Easy to add new AI models

## Installation

Coming soon!

## Etymology

Akupara (अकूपार) is the cosmic turtle in Hindu mythology that supports the world on its back. Just as Akupara supports the universe, our platform supports and orchestrates all AI models.

## License

MIT

## Status

This project is currently in early development. Star/watch the repository to stay updated!
```

### 8. Development Roadmap

1. **Phase 1: Foundation**
   - Set up basic project structure
   - Create container orchestration framework
   - Implement Claude Code support

2. **Phase 2: Multi-AI Support**
   - Add GPT-4 integration
   - Add Gemini integration
   - Create unified CLI interface

3. **Phase 3: Advanced Features**
   - Multi-model conversations
   - Model switching mid-session
   - Performance optimization

4. **Phase 4: Community**
   - Open source release
   - Plugin system
   - Community AI model contributions

## Next Immediate Steps

1. [ ] Create GitHub repository
2. [ ] Reserve npm package
3. [ ] Reserve PyPI package
4. [ ] Create Docker Hub repository
5. [ ] Register domain
6. [ ] Set up basic project structure
7. [ ] Create initial documentation
8. [ ] Set up CI/CD pipeline

## Notes

- Keep the claude-container work separate for now
- Akupara will be the public-facing project
- Consider creating an organization (e.g., `akupara-ai`) for the project
- Plan for extensibility from the start