Orexeva

Developer Infrastructure Platform for Local AI Development

Orexeva is a cross-platform developer platform designed to simplify local AI development. It provides a unified interface for installing, managing, configuring, and running local AI models across multiple providers while maintaining a clean, production-quality architecture.

Current Status: 🚧 Active Development

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Features

• Cross-platform support (Windows, Linux, macOS)
• Automatic platform detection
• Local AI model management
• Multiple provider support
• Intelligent recommendations
• Configuration management
• Registry management
• Developer-friendly CLI
• Zero cloud dependency
• Production-quality architecture

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Project Goals

Orexeva aims to provide a single command-line interface for everything related to local AI.

Instead of manually configuring different tools, Orexeva will manage:

• AI providers
• Local models
• Runtime configuration
• Downloads
• Updates
• Workspaces
• Development environment

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Current Project Structure

src/
└── orexeva/
    ├── commands/
    ├── config/
    ├── core/
    ├── database/
    ├── installer/
    ├── intelligence/
    ├── platform/
    ├── recommender/
    ├── registry/
    ├── utils/
    ├── cli.py
    ├── constants.py
    └── __main__.py

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Requirements

• Python 3.11+
• Windows, Linux or macOS

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Installation

Clone the repository.

git clone <repository-url>

Move into the project.

cd Orexeva

Create a virtual environment.

python -m venv .venv

Activate it.

Windows

.venv\Scripts\Activate.ps1

Linux / macOS

source .venv/bin/activate

Install dependencies.

pip install -e .

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Running

Show CLI help.

python -m orexeva --help

Show version.

python -m orexeva version

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Development

Current completed modules:

• ✅ Environment
• ✅ Platform
• ✅ Config
• ✅ Registry

Modules under development:

• Installer
• Database
• Intelligence
• Recommender
• CLI
• Runtime

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Testing

Run platform tests.

python -m tests.test_detection

Run configuration tests.

python -m tests.test_config

Run registry tests.

python -m tests.test_registry

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License

Licensed under the MIT License.

See the LICENSE file for details.

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Authors

• Aarya Patel
• Ruchi Tanwar