AI-Desktop-Agent

A desktop AI agent for Windows that provides voice interaction, file management, system monitoring, reminders, weather & news fetching, application launching, and intelligent conversation via large language models.

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Table of Contents

• Features
• Architecture & Project Structure
• Getting Started
  • Requirements
  • Installation
  • Configuration
• Usage
• Supported Modules
• Extending the Agent
• Testing
• Known Issues / Limitations
• Roadmap
• Contributing
• License
• Acknowledgments

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Features

The AI-Desktop-Agent includes (or is intended to include) the following capabilities:

• Speech-to-Text & Text-to-Speech — voice interaction for user commands and responses.
• Intelligent Conversation (LLM) — chat with the agent; answer general knowledge / question & answer.
• File Management & Organization — search, open, move, delete files, organize directories.
• Application Launcher — start programs on your desktop via voice or typed commands.
• Weather Information — fetch current weather, forecasts, etc.
• News Fetching — get latest news via an API.
• System Monitoring — CPU, memory usage, perhaps disk / network stats.
• Calendar & Reminders — set reminders, manage calendar events.
• Music Playback (Local + Online)

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Architecture & Project Structure

Here’s the layout of the repository and what the components do (or are expected to do):

AI-Desktop-Agent/
├── main.py                # Entry point to start the agent
├── modules/               # Different feature modules (weather, news, file-mgmt, etc.)
├── utils/                 # Helper functions/utilities (speech, formatting, API wrappers)
├── data/                  # Configuration / data files
├── tests/                 # Unit / integration tests
└── requirements.txt       # Python dependencies

• main.py initializes the agent, sets up required services (speech, LLMs, etc.), handles the loop or event-driven interaction.
• modules/ implements specific features (e.g. weather, news, calendar).
• utils/ contains shared code — audio I/O, converting speech <-> text, logging, config reading.
• data/ holds configuration templates or examples (e.g. .env file).
• tests/ includes test scripts.

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Getting Started

Requirements

• Python 3.7+
• OS: Windows (tested)
• Internet access (for LLMs, weather/news APIs, etc.)
• API keys for services:
  • OpenAI (or other LLM provider)
  • NewsAPI (or equivalent news feed)
  • OpenWeatherMap (or other weather provider)
  • Speech-to-Text / Text-to-Speech service keys if required

Installation

1. Clone the repository:

   git clone https://github.com/ItzHaniel/AI-Desktop-Agent.git
   cd AI-Desktop-Agent

2. Create & activate a virtual environment:

   python -m venv venv
   source venv/bin/activate    # Mac/Linux/WSL
   .\venv\Scripts\activate     # Windows PowerShell or CMD

3. Install dependencies:

   pip install -r requirements.txt

Configuration

• Create a .env file in the root folder with your API keys:

  OPENAI_API_KEY=your_openai_key_here or GROK_API_KEY
  NEWSAPI_KEY=your_newsapi_key_here
  WEATHER_API_KEY=your_openweathermap_key_here
  

• Adjust additional settings (voice parameters, file paths, etc.) in config files or constants.

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Usage

Start the agent:

python main.py

Once running, you can:

• Speak commands (if microphone access enabled)
• Type commands (if CLI mode supported)
• Get responses via speech or text

Example interaction:

User: "Hey agent, what's the weather in New Delhi today?"
Agent: "The weather in New Delhi is 35°C, partly cloudy."
User: "Open Spotify"
Agent: [launches the app]

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Supported Modules

Module	Purpose
Speech	Capture voice input and convert to text; convert responses into speech.
LLM / Conversation	Use OpenAI (or another LLM) to generate responses and hold conversations. We're using Groq.
Weather	Query weather APIs for current conditions and forecasts.
News	Fetch and summarize latest headlines.
File Manager	Search, open, move, delete, and organize files.
Application Launcher	Open installed applications.
System Monitor	Provide CPU, RAM, disk usage, and possibly network stats.
Calendar / Reminders	Set reminders and manage events.
Music Playback	Play local audio files or stream music.

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Extending the Agent

You can add new features by creating modules under modules/. Be creative! Tips for extending:

• Implement a standard interface (so modules can register themselves).
• Add offline speech/LLM options for better privacy.
• Create plugin-like support for drop-in features.
• Improve error handling for failed API calls.
• Add user-friendly configuration files.

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Testing

Run tests with:

pytest

Mock audio or network modules as needed to test without hardware/API keys.

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Known Issues / Limitations

• High latency possible due to speech or LLM API calls.
• Some modules may be incomplete or placeholder.
• Offline support is limited.
• Continuous listening mode may consume CPU/RAM significantly.

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Roadmap

Planned enhancements:

• Offline speech recognition & TTS
• Richer conversation memory
• GUI dashboard interface
• Plugin store for modules
• Google/Outlook calendar integrations
• Error recovery & fallback mechanisms

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Contributing

Contributions welcome!

1. Fork the repository
2. Create a new branch (git checkout -b feature/your-feature)
3. Commit changes with clear messages
4. Submit a Pull Request

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