README.md

ANA MAX OS‑22

Advanced Neural Architecture – Operating System 22

A local‑first AI operating system and agent orchestrator built for deterministic execution, self‑healing, and strict security boundaries.

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🚀 Overview

ANA MAX OS‑22 is a next‑generation local AI runtime that unifies deterministic orchestration, semantic memory, and autonomous agents.

It combines:

• Local‑First Philosophy – Runs entirely on your machine, no cloud dependency
• OS‑22 Core – Deterministic orchestration with bounded autonomy
• ToolBridge – 90+ production‑ready tools for system control, web automation, and code analysis
• RAGBridge – Semantic memory and contextual knowledge retrieval
• MCP Server – Model Context Protocol integration for IDEs
• Self‑Healing v2 – Automatic error detection and recovery
• Autonomy v3 – Controlled agent initiative with confidence scoring

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📦 Quick Start

# Clone the repository
git clone https://github.com/gyodragos-cell/ANA-MAX-v0.1.0-beta---Advanced-Neural-Architecture.git
cd ANA-MAX-v0.1.0-beta---Advanced-Neural-Architecture

# Create a virtual environment
python -m venv .venv
.venv\Scripts\activate  # Windows
# source .venv/bin/activate  # Linux/Mac

# Install dependencies
pip install -r requirements.txt

# Copy environment template
cp .env.example .env

# Run OS‑22
scripts\os22\start_os22_lab_chat.bat
🏗 Architecture
Code
Input Layer (User prompts, MCP requests)
    ↓
Context Builder (Conversation memory, RAG context, Tool specs)
    ↓
AI Engine (Local LLM: Phi‑3 Mini, Mistral, etc.)
    ↓
Tool Router (ToolBridge: orchestrates 90+ tools)
    ↓
Execution Layer (Sandbox: secure command execution)
    ↓
Observability (Telemetry, Self‑Healing v2, Autonomy v3)
📚 Documentation
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🌐 Live Site
Visit the official OS‑22 documentation:
👉 https://gyodragos-cell.github.io/ANA-MAX-v0.1.0-beta---Advanced-Neural-Architecture/

💡 Why ANA MAX OS‑22?
Unlike cloud‑based AI runtimes, OS‑22 is fully local, deterministic, and self‑healing.
It’s designed for developers who value transparency, reproducibility, and autonomy in AI systems.

🤝 Contributing
We welcome contributions from developers and researchers!

Fork the repository

Create a feature branch: git checkout -b feature/my-feature

Commit your changes: git commit -m "Add my feature"

Push to the branch: git push origin feature/my-feature

Open a Pull Request

Code Style
Use type hints

Write docstrings

Follow PEP 8

Keep functions small and focused

📄 License
MIT License – see [Looks like the result wasn't safe to show. Let's switch things up and try something else!] for details.

❤️ Support
If you find this project useful:

⭐ Star the repository

🐛 Report bugs via Issues

💡 Suggest features via Discussions

Made with ❤️ for the local‑first AI community

Code

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