linux-assistant 0.1.0

An AI-powered natural-language Linux assistant

linux‑Assistant

An AI-powered assistant that lets you interact with your Linux system using natural language. Ask it to list files, install packages, inspect processes, or perform any shell task—behind the scenes it translates your request into safe bash commands and runs them for you.

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Features

• Natural‑language interface: Describe what you want to do—no need to remember exact commands.
• Interactive shell execution: The assistant decides when to run commands, executes them in a temporary script, and returns the output.
• Continuous conversation: You can follow up on results, ask for clarifications, or chain multiple operations in one session.
• Customizable: Swap in any Ollama‑compatible model and adjust prompts to suit your workflow.

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Prerequisites

• Linux with Bash installed
• Python 3.12+
• Ollama CLI & daemon with at least one local model (e.g. qwen3:8b)
• (Optional but recommended) A dedicated Python virtual environment

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Installation

1. Clone the repository

   git clone https://github.com/alifthi/linux-Assistant.git
   cd linux-Assistant
   

2. Set up a virtual environment

   python3 -m venv .venv
   source .venv/bin/activate
   

3. Install ollama and pull model

   curl -fsSL https://ollama.com/install.sh | sh
   ollama pull qwen3:8B  # Or any other models you want to use
   

4. Install dependencies

   pip install -r requirements.txt
   

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Configuration

Open models/config.py and adjust:

• MODEL_NAME – the Ollama model you wish to use (e.g. "qwen3:8b").
• SYSTEM_PROMPT – how the assistant should frame its replies and decide when to run shell commands.

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Usage

Run the assistant and start chatting:

cd src
python -m linux_assistant

• Ask anything you would normally do in the terminal.

• Continue the conversation naturally or type exit to quit.

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Run the assistant using Docker

docker run --name <Container's name> \
   -v linux_assistant_volume:/app/data \
   -v "$(pwd)":/app/workspace alifthi/linux-assistant 

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Contributing

Contributions and feedback are welcome! Feel free to:

• Open issues for bugs or feature requests
• Submit pull requests to improve prompts, handling, or documentation
• Suggest new use cases or integrations

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License

Distributed under the MIT License. See LICENSE for details.