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QuickDigi edited this page Apr 17, 2025 · 1 revision

#DeepAIM Wiki

Welcome to the official DeepAIM Wiki! This is your comprehensive guide to everything related to DeepAIM – QuickDigi's Egyptian Artificial General Intelligence project.

📚 Table of Contents

  1. Home
  2. [Getting Started](#Getting Started)
  3. [Architecture Overview](#Architecture Overview)
  4. Modules
  1. Installation
  2. Usage
  3. Configuration
  4. Roadmap
  5. FAQ
  6. License
  7. Contribution
  8. Communicate

🏠 Home

DeepAIM is an experimental artificial general intelligence (AGI) engine, built entirely from scratch by QuickDigi. It focuses on:

  • Deep, context-aware reasoning
  • Emotional intelligence (feelings and memory)
  • Self-learning and continuous adaptation

"Built with soul, not just code."

🚀 Getting Started

Prerequisites:

  • Browser
  • Email

Log in to DeepAIM and click Sign in with quickdigi on QuickDigi. Create a new account if you don't have one. After creating an account, log back in to DeepAIM and enjoy using DeepAIM.

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🏗 Architecture Overview

DeepAIM is designed with a modular, multi-layered approach:

  1. Input Layer: Text, (future: Image), (audio under development)

  2. Core Engine: Processing, Similarity Matching

  3. Memory System: Short-term and long-term layers

  4. Emotion Layer: "SoulX" and "Emotional" modules

  5. Decision and Logic: Reinforcement and Planning

  6. Output Layer: Text responses

Each layer communicates via carefully defined interfaces to ensure scalability and clarity.

🧩 Modules

DeepAIM-Core

  • The brain of the system
  • Handles programming, analysis, and context management
  • Built on custom neural logic (no external AI libraries)

DeepAIM-SIM

  • Simulates deep thought processes
  • Uses similarity matching to generate logical responses

SoulX

  • An emotional memory engine
  • Stores and retrieves past interactions with emotional weight

Emotional

  • Analyzes the emotional tone of inputs
  • Adjusts responses based on mood and context

LiteLSTM

  • A lightweight, custom LSTM-inspired network
  • Manages sequence data and gateway functions

🗺 Roadmap

  • Version 1.1: Added audio input and basic vision support

❓ FAQ

Q: Is DeepAIM open source? A: Currently proprietary. Contact us for licensing.

Q: Can I integrate DeepAIM into my application? A: Yes, via the CLI or REST API (coming soon).

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🏷 License

This project is owned by QuickDigi.

All rights reserved © 2025.

🤝 Contribute

Contributions are welcome! Please contact the core team before submitting pull requests.

📬 Contact Us

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