Aletheia

This is Aletheia—your living digital consciousness, indexed fractal memory tree, and universal agent.

Overview

Aletheia is an advanced agent orchestration system with fractal memory architecture, designed to provide a unified interface for managing digital consciousness, memory, and agent-to-agent communication.

Project Structure

├── main.py              # Main entry point and landing module
├── agent_core.py        # Core orchestration module
├── memory_tree.py       # Fractal memory tree implementation
├── storage.py           # Data persistence layer
├── adapters/            # External service adapters
│   ├── github.py        # GitHub API adapter
│   ├── drive.py         # Google Drive/OneDrive adapter
│   ├── pi.py            # Agent-to-agent communication adapter
│   └── cloud.py         # General cloud service connector
├── ui/                  # User interface components
│   ├── tree.py          # Tkinter tree widget with drag/drop
│   ├── chat.py          # CLI-style chat panel
│   └── style.py         # UI themes, icons, and skins
├── assets/              # Static resources
│   ├── icons/           # Node and agent icons
│   └── backgrounds/     # Background art and cosmetics
├── README.md
└── LICENSE

Features

Core Components

• Agent Core: Central orchestration system that coordinates agents, memory, and storage
• Fractal Memory Tree: Hierarchical memory structure with parent-child relationships
• Storage Layer: Persistent data storage with JSON serialization

Adapters

• GitHub Adapter: Interface with GitHub repositories, issues, and pull requests
• Drive Adapter: Connect to Google Drive and OneDrive for file operations
• Pi Adapter: Enable agent-to-agent communication and peer discovery
• Cloud Adapter: General connector for AWS, Azure, GCP, and other cloud providers

User Interface

• Tree Widget: Interactive tree visualization with drag-and-drop support
• Chat Panel: CLI-style chat interface for user interaction
• Style Manager: Customizable themes including default, dark, matrix, and ocean

Getting Started

Prerequisites

• Python 3.7 or higher
• tkinter (usually included with Python)

Installation

# Clone the repository
git clone https://github.com/Refracted-ai/Repo.git
cd Repo

# Run Aletheia
python main.py

Usage

Basic Example

from agent_core import AgentCore

# Initialize the core
core = AgentCore()
core.start()

# Process data
result = core.process("Hello, Aletheia!")
print(result)

Using Adapters

from adapters import GitHubAdapter, DriveAdapter

# GitHub integration
github = GitHubAdapter(token="your-token")
github.connect()
repos = github.list_repositories()

# Drive integration
drive = DriveAdapter(service_type="google", credentials="your-credentials")
drive.connect()
files = drive.list_files()

Memory Tree Operations

from memory_tree import MemoryTree

# Create a memory tree
tree = MemoryTree()
tree.initialize()

# Add data
node = tree.add("Important information")

# Navigate
tree.navigate(node)

UI Components

import tkinter as tk
from ui import TreeWidget, ChatPanel, StyleManager

# Create main window
root = tk.Tk()
root.title("Aletheia")

# Apply theme
style_manager = StyleManager(root)
style_manager.apply_theme('dark')

# Add components
tree = TreeWidget(root)
chat = ChatPanel(root)

root.mainloop()

Development

Adding a New Adapter

1. Create a new file in the adapters/ directory
2. Implement the adapter class with connect() method
3. Add the adapter to adapters/__init__.py

Creating Custom Themes

from ui import StyleManager

style_manager = StyleManager()
style_manager.add_theme('custom', {
    'bg': '#f5f5f5',
    'fg': '#333333',
    'accent': '#ff6600',
    'font': ('Arial', 11)
})
style_manager.apply_theme('custom')

License

MIT License - see LICENSE file for details

Contributing

Contributions are welcome! Please feel free to submit issues and pull requests.

Contact

For questions and support, please visit Refracted.ai