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An intelligent personal assistant for Windows, powered by UFO² framework for seamless desktop automation and productivity enhancement.

Python VersionLicense: MITPowered by UFO²Personal Project


Project Vision

CadentialAI is a personal Windows AI assistant project, built on top of Microsoft's UFO² framework. It serves as an intelligent companion that understands natural language commands and automates complex desktop workflows across multiple applications. The goal is to create a truly personalized AI assistant that learns from usage patterns and becomes increasingly helpful over time.


Core Capabilities

Smart Desktop Automation Contextual Learning Multi-Application Workflows
Leverages UFO²'s advanced Windows integration for precise control detection and native API usage. Learns from usage patterns and preferences to provide increasingly personalized assistance. Seamlessly coordinates actions across Office, browsers, development tools, and system utilities.
Voice & Text Interface Personal Knowledge Base Productivity Optimization
Accepts commands through both voice input and text, adapting to preferred interaction styles. Builds a personalized knowledge base from documents, emails, and work patterns. Identifies repetitive tasks and suggests or automates workflow improvements.

Architecture Overview

CadentialAI is built as a layer on top of UFO²'s Desktop AgentOS, incorporating:

  1. Personal Command Interface – Natural language processing for voice and text commands with personalized vocabulary
  2. UFO² Integration Layer – Direct integration with UFO²'s HostAgent and AppAgent systems for desktop automation
  3. Learning Engine – Machine learning components that adapt to workflows and preferences
  4. Knowledge Management – Personal document indexing, email integration, and contextual information retrieval
  5. Productivity Analytics – Tracking and optimization of daily computer usage patterns
  6. Custom Skill Modules – Specialized modules for specific workflows (development, writing, research, etc.)

Built on UFO²'s proven foundation of Windows UIA, Win32, and WinCOM integration for reliable desktop control.


Getting Started

Prerequisites

  • Python >= 3.10
  • Windows OS >= 10
  • UFO² Framework (included)
  • OpenAI API Key (for GPT-4 integration)

Installation

# Clone the CadentialAI repository (includes UFO framework)
git clone https://github.com/Cadential-Studios/CadentialAI.git
cd CadentialAI

# Create virtual environment
python -m venv .venv
.venv\Scripts\activate

# Install all dependencies
pip install -r requirements.txt

# Install UFO dependencies
pip install -r UFO\requirements.txt

# Setup configuration files
.\setup.ps1 -SetupConfig

API Configuration

# Edit your API keys in the config file (this file is not tracked by Git)
notepad config.yaml

# Also configure UFO settings
notepad UFO\config\config.yaml

Important: The config.yaml file contains your API keys and is automatically excluded from Git commits for security.

Configuration

  1. Copy the configuration template:
copy UFO\ufo\config\config.yaml.template UFO\ufo\config\config.yaml
  1. Add the OpenAI API key and configure personal settings:
HOST_AGENT:
  API_TYPE: "openai"
  API_KEY: "your-openai-api-key"
  API_MODEL: "gpt-4o"
  
APP_AGENT:
  API_TYPE: "openai"
  API_KEY: "your-openai-api-key"
  API_MODEL: "gpt-4o"

Launch CadentialAI

# Start CadentialAI (it will automatically load UFO framework)
python cadential_ai.py

# Or run UFO directly
cd UFO
python -m ufo --task "personal_assistant"

Current Features

  • Desktop Automation: Full UFO² integration for Windows application control
  • Natural Language Processing: Understands conversational commands
  • Basic Learning: Remembers frequently used commands and preferences
  • Multi-App Workflows: Coordinates tasks across different applications
  • Personal Configuration: Customizable behavior and response patterns
  • FL Studio Integration: Specialized music production workflow automation

Future Plans

Phase 1: Enhanced Personalization (Q2 2024)

  • Advanced Voice Integration
    • Custom wake word recognition ("Hey Cadential")
    • Conversation memory and context
    • Voice-first interaction mode
    • Real-time voice commands during work
  • Personal Habit Learning
    • Daily routine recognition and automation
    • Predictive task suggestions based on time/context
    • Smart calendar integration and meeting prep
    • Workflow pattern detection and optimization
  • Enhanced Document Management
    • Personal document indexing and intelligent search
    • Email integration and automated responses
    • Note-taking and knowledge capture from conversations
    • Cross-reference personal knowledge base

Phase 2: Advanced Intelligence (Q3 2024)

  • Proactive Assistance
    • Ambient computing awareness (detect what is being worked on)
    • Background task optimization and scheduling
    • Smart notification management and filtering
    • Context-aware interruption handling
  • Creative Workflow Support
    • Deep FL Studio integration for music production
    • Creative writing assistance and idea generation
    • Project management automation across creative tools
    • Inspiration capture and organization system
  • Development Assistant Features
    • Code review and optimization suggestions
    • Automated testing and deployment workflows
    • Development environment management
    • Bug tracking and resolution assistance

Phase 3: Deep Integration (Q4 2024)

  • Contextual Computing
    • Advanced understanding of work/personal contexts
    • Mood and energy level adaptation
    • Smart focus mode and deep work protection
    • Adaptive interface based on current activities
  • Advanced Automation
    • Complex multi-step workflow creation and execution
    • Cross-application data synchronization
    • Smart home integration (lighting, music, environment)
    • Automated backup and file organization
  • Personal AI Evolution
    • Personality development that reflects preferences
    • Advanced reasoning about personal goals and priorities
    • Long-term pattern recognition and life optimization
    • Proactive goal tracking and achievement support

Phase 4: Ecosystem Expansion (2025)

  • Mobile Companion App
    • Remote desktop control from anywhere
    • Mobile-to-desktop task handoff seamlessly
    • Location-based automation triggers
    • Voice commands on mobile that execute on desktop
  • Cloud Intelligence
    • Personal data analytics and insights dashboard
    • Cross-device learning synchronization
    • Advanced predictive modeling for productivity
    • Personal metrics and self-improvement suggestions
  • Professional Integration
    • Team collaboration features for shared projects
    • Work-focused automation suites
    • Professional network integration
    • Client communication and project management

Phase 5: Advanced Personal Features (2025+)

  • Lifestyle Integration
    • Health and wellness tracking integration
    • Personal finance management and insights
    • Entertainment and media consumption optimization
    • Social interaction and relationship management
  • Learning and Growth
    • Personal skill development tracking
    • Educational content curation and delivery
    • Knowledge gap identification and filling
    • Career development planning and support
  • Creative Partnership
    • Co-creative AI for music, writing, and art
    • Idea development and refinement assistance
    • Creative project planning and execution
    • Inspiration synthesis from various sources

Ongoing Development Priorities

  • Security & Privacy
    • End-to-end encryption for all personal data
    • Local-first processing options for sensitive information
    • Granular privacy controls and data ownership
    • Regular security audits and updates
  • Performance Optimization
    • Reduced resource usage and battery optimization
    • Faster response times and predictive loading
    • Efficient background processing
    • Smart resource allocation based on current tasks
  • Accessibility & Inclusion
    • Enhanced accessibility controls for all users
    • Multi-language support for global use
    • Customizable interaction modes for different needs
    • Voice-only operation for hands-free scenarios

Technical Stack

  • Core Framework: Microsoft UFO² (Desktop AgentOS)
  • AI/ML: OpenAI GPT-4o, planned local LLM integration
  • Voice Processing: Windows Speech Platform, Azure Speech Services
  • Desktop Integration: Windows UIA, Win32, WinCOM APIs
  • Data Storage: Vector databases for personal knowledge, local SQLite
  • Development: Python 3.10+, Modern async/await patterns
  • UI Framework: Planned - Custom WPF/WinUI interface

Project Structure

CadentialAI/
├── UFO/                    # UFO² framework (submodule)
├── cadential/              # Personal AI assistant modules
│   ├── core/              # Core CadentialAI functionality
│   ├── skills/            # Specialized skill modules
│   ├── learning/          # Personal learning and adaptation
│   └── interfaces/        # Voice, text, and GUI interfaces
├── config/                # Personal configuration files
├── data/                  # Personal knowledge base and logs
└── docs/                  # Project documentation

Development Philosophy

CadentialAI is designed with these principles:

  • Privacy First: Personal data stays local when possible, full user control
  • Learning Oriented: Continuously improves through usage and feedback
  • Non-Intrusive: Enhances workflow without disrupting natural patterns
  • Extensible: Modular design for easy customization and feature addition
  • Reliable: Built on UFO²'s proven Windows automation foundation
  • Personal: Adapts to individual preferences and working styles

Special Features

FL Studio Integration

CadentialAI includes specialized modules for music production:

  • Voice commands for FL Studio workflow automation
  • Pattern recognition and beat creation assistance
  • Project organization and sample management
  • Collaboration tools for music projects

Personal Productivity

  • Smart task scheduling based on energy levels and calendar
  • Automated email sorting and response suggestions
  • Document organization with intelligent tagging
  • Meeting preparation and follow-up automation

Contributing

Cadential Studios welcomes:

  • Feature suggestions and ideas for improvement
  • Bug reports and testing feedback
  • Documentation improvements and clarifications
  • Discussion about AI assistant patterns and best practices
  • Collaboration on specific features or modules

License & Attribution

This project is released under the MIT License.

Built on UFO² Framework by Microsoft Research:

Special thanks to the UFO² team for creating such a powerful foundation for Windows desktop automation.


Contact

For questions, suggestions, or collaboration:

  • Project: CadentialAI - Personal Windows AI Assistant
  • Developer: Cadential Studios
  • GitHub Issues: For bug reports and feature requests
  • Built with: Microsoft UFO² Framework

CadentialAI • Personal AI Assistant • Built with UFO² • 2024

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