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VOMAC

VOMAC (Vision-Oriented Modular AI Core)
VOMAC is a modular, event-driven system core designed to build scalable, intelligent, and production-ready architectures.

Modern AI systems are not just models.
Real-world systems require:

  • structured decision logic
  • memory and context handling
  • task orchestration
  • modular extensibility
  • observability and control

VOMAC focuses on the system — not the model.


❓ What is VOMAC?

VOMAC is not an AI model.
It is not a framework wrapper.
It is not a chatbot engine.

VOMAC is a system orchestration core.

It provides the foundational layer required to coordinate:

  • decision mechanisms
  • modular components
  • AI services
  • hardware events
  • workflow execution

AI becomes a tool —
the architecture remains the authority.


🎯 Project Vision

Most AI projects fail not because models are weak,
but because systems around them are fragile.

VOMAC is built to answer one question:

How do we design intelligent systems that can grow safely?

The goal is to create a core that supports:

  • long-term evolution
  • modular replacement
  • system-level reasoning
  • real-world integration

🧩 Core Principles

  • Architecture First — structure before intelligence
  • Event-Driven Design — loose coupling by default
  • Modular Expansion — components can evolve independently
  • AI as a Tool — not the decision authority
  • Production Awareness — logging, config, isolation

🏗️ Architecture Overview

+---------------------------+
|           Core            |
|  Event Bus • Config • Log |
+-------------+-------------+
              |
              v
+---------------------------+
|         Modules           |
|  Memory • Reasoning       |
|  AI • Hardware • Tasks    |
+---------------------------+

The Core manages the system lifecycle.
Modules implement domain-specific behaviors.


📦 Current Status

Version: v0.1.1

Current focus:

  • foundational decision logic
  • configuration-driven behavior
  • early architectural exploration

✨ Roadmap Overview

Version Focus
v0.2.0 Architecture stabilization
v0.3.0 Memory & decision layer
v0.4.0 Task orchestration engine
v0.5.0 AI module integration
v0.6.0 Hardware bridge
v1.0.0 Stable orchestration core

🧪 Example Use Cases

  • AI system orchestration
  • autonomous task pipelines
  • hybrid decision systems
  • real-world device integration
  • research & experimentation core

⚙️ Running the Project

config.yaml

threshold: 70

⚡ Running VOMAC

python main.py

Example output:

2026-01-17 13:53:36,910 | INFO | VOMAC started with threshold=70
2026-01-17 13:53:36,910 | INFO | Decision result: {'decision': 'OK', 'reason': 'Value within normal range', 'confidence': 1.0}
{'decision': 'OK', 'reason': 'Value within normal range', 'confidence': 1.0}

Docker-based execution will be introduced in upcoming releases.

📄 Documentation

  • /docs
  • devlog.md

⚠️ Project Status VOMAC is under active development. The project prioritizes architectural correctness over feature quantity. Breaking changes may occur before v1.0.0.

📜 License MIT License

🤝 Contribution This project is currently focused on architectural design and experimentation. Contributions, discussions, and architectural feedback are welcome.

🧭 Long-Term Vision VOMAC aims to become a foundational decision core capable of integrating with:

REST APIs

Intelligent services

Embedded devices

Hybrid AI systems

The long-term goal is to evolve toward a production-ready, explainable decision engine.

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