11 releases

Uses new Rust 2024

new 0.1.63 May 4, 2025
0.1.62 May 4, 2025
0.1.60 Apr 22, 2025
0.1.4 Mar 28, 2025

#84 in Machine learning

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369 downloads per month

MIT license

62KB
1K SLoC

Rust 743 SLoC // 0.0% comments Shell 305 SLoC // 0.1% comments

You - Your Optimized UNIX (and Windows too)

English | 中文

you is a command-line tool that translates natural language instructions into executable shell commands, making command-line operations more accessible and intuitive. It's designed especially for newcomers to command-line interfaces, but also helps experienced users by reducing cognitive load and documentation searches.

Core Features

  • Talk in Plain Language: Just tell the tool what you want to do in regular words, and it turns that into commands the computer understands
  • Chat Mode: Have a back-and-forth conversation where you can ask for multiple things while the tool remembers what you talked about before
  • Command Review: The tool handles the hard technical stuff but lets you decide when to run commands
  • Save for Later: Keep useful commands to use again without having to ask the tool each time

Installation

Setup Script (Linux & macOS)

Download and run the setup script:

curl -O https://raw.githubusercontent.com/AspadaX/you/main/setup.sh && chmod +x ./setup.sh && ./setup.sh && rm ./setup.sh

To uninstall:

curl -O https://raw.githubusercontent.com/AspadaX/you/main/uninstall.sh && chmod +x ./uninstall.sh && ./uninstall.sh && rm ./uninstall.sh

Using Cargo

If you have Rust installed:

cargo install you

Usage

Basic Command Execution

Run a command described in natural language:

you run "find the largest file in my downloads directory"

Command Explanation

Get an explanation of what a command does:

you explain "find . -type f -name '*.txt' -size +10M"

Interactive Mode

Start a conversational session to run multiple related commands:

you run

Other Examples

# Find files you've modified in the last week
you run "show me files I've modified in the last 7 days"

# Get system information
you run "how many CPU cores and how much RAM does this system have?"

# Complex tasks made simple
you run "compress all JPG images in the current directory and save them to a new folder"

# Remote operations
you run "connect to my server at 192.168.*.* and check disk space"

LLM Support

you works with various LLMs:

  • Works well with small models like smollm2 (including the 135m version)
  • Compatible with ollama for using any open-source model for free
  • Configure your preferred model for the best balance of performance and accuracy

Workflow

  1. Type your request in natural language
  2. Review the suggested command(s) and explanation
  3. Type 'y' to execute or provide additional guidance
  4. If there's an error, the AI automatically suggests a corrected command
  5. Optionally save useful command sequences for future reuse

Why Use You?

  • Reduce Documentation Searches: Get the right command without extensive searching
  • Learning Tool: See how natural language translates to actual commands
  • Productivity Boost: Accomplish complex tasks with simple instructions
  • Safe Command Execution: Review commands before execution
  • Error Recovery: Get help when commands fail
  • Context Retention: In interactive mode, the AI remembers previous commands

License

MIT

Credits

Created by Xinyu Bao

Acknowledgments

This project would not be possible without these amazing libraries:

  • anyhow: Error handling made simple and flexible
  • async-openai: API client for interacting with OpenAI's language models
  • cchain: Command chaining functionality for shell operations
  • chrono: Date and time handling with precision
  • clap: Command-line argument parsing with a beautiful interface
  • console: Terminal text styling and utilities
  • indicatif: Progress indicators for command-line applications
  • serde/serde_json: Powerful serialization and deserialization framework
  • sysinfo: System information gathering across platforms
  • tokio: Asynchronous runtime for efficient operations

A big thank you to all the developers who maintain these open-source libraries!


you - because command lines should understand you, not the other way around.

Dependencies

~32–50MB
~1M SLoC