futureos 0.2.0

AI based Operating system POC from the future

FutureOS 🚀

My take on how Operating Systems will be built in the future.

🌟 The Challenge

Currently, there are several powerful AI tools for both Windows and macOS:

• 🤖 Claude computer use
• 👨‍💻 GitHub Copilot
• 🗣️ New Siri on Mac

However, these tools implement their own methods of indexing and searching files, and they're not integrated with the OS.

💡 The Vision

What if:

• Every utility in the OS had access to vector search for collections of all files, directories, pictures, and more?
• All content was automatically indexed by the OS whenever a file is created or modified?
• Every utility had access to an AI chain (like LangChain) deeply integrated into the OS?
• Every command could leverage these AI capabilities?

Let's go further... 🚀

Why force users to remember specific commands with their parameters and arguments? By creating descriptive docstrings for commands, we can build a vector store of all commands and automatically choose the best one for user input. Users don't even need to know exact command names!

✅ Quality Assurance

"But without proper testing, users wouldn't like it."

I know! That's why there are multiple tests for every command with output that's easy to parse by LLM.

🏗️ Architecture

Command System

Every command inherits from a base Command class that provides:

def get_file(self, question: str, max_distance: float) -> str:
    """Find relevant files using vector similarity search"""

def get_directory(self, question: str, max_distance: float) -> str:
    """Find relevant directories using vector similarity search"""

def run_chain(self, chain: RunnablePassthrough, input: dict) -> Any:
    """Execute LangChain operations for content processing"""

🔍 How Commands Work

Let's break down how a typical command (cd) is constructed:

class cd(Command):
    """
    NAME
        cd - change the current working directory

    SYNOPSIS
        cd [directory]

    DESCRIPTION
        Change the current working directory to the specified directory.

    NATURAL LANGUAGE COMMANDS
        - Change directory to X
        - Go to folder X
        - Navigate to directory X
    """

The docstring serves multiple purposes:

1. Vector Embedding Source: Used to create embeddings for command matching
2. Natural Language Patterns: Defines common ways users might express the command
3. Documentation: Serves as built-in help text

Command Implementation

def execute(self, args: Any) -> None:
    try:
        # Handle both traditional and natural language input
        directory = self.get_directory(args.query) if args.query else args.directory

        # Resolve and validate path
        target_path = resolve_path(directory)

        # Execute directory change
        if target_path.is_dir():
            constants.CURRENT_DIRECTORY = target_path
            self.print(f"Changed to {target_path}", style="green")
    except Exception as e:
        self.print(f"Error: {str(e)}", style="red")

🚀 Getting Started

# Install
pip install futureos

# Launch
python -m futureos

[!IMPORTANT]
To use FutureOS, ensure you have Ollama installed with the gemma2:2b model. For optimal performance, CUDA should be enabled on your system.

🤝 Contributing

We welcome contributions in:

• 🧠 AI capability enhancements
• 🗣️ Natural language understanding
• 📊 Content analysis improvements
• ⚙️ New command features

📄 License

MIT License - See LICENSE file for details.