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0.1.2

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aegish

Natural language to Linux command converter

Published25 Aug 2025
Direct dependencies4
Transitive dependenciesNot calculated

README

Version 0.1.2 documentation

aegish

Write linux commands in natural language using the power of local ai!

You can use aegish in two modes: Local or Cloud. Local uses ollama to run models on your device, whereas cloud uses your api key to make a request to a cloud provider.

Local providers: Ollama

Cloud Providers: ChatGPT (OpenAI), Gemini (Google), Claude (Anthropic)

Table of Contents

Installation

Install using pip

pip install aegish

After installation, use the ag configure command to choose local or cloud ai, to choose models, and to save api keys:

ag --configure

Make sure you know the api usage prices per model before selecting the model. The AI company will bill you based on usage and models used.

Usage

Generate a Linux command from natural language:

ag list files in this directory

Print the generated command without running it:

ag --print-only show disk usage

Configure the default model and system prompt:

ag --configure

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Declared dependencies 4

Native requirements
4 direct targetsNot calculated transitive count
Package / targetRequirementRelationship
openai
Environment
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  "marker": null,
  "requires_python": ">=3.7",
  "evaluation": "NOT_EVALUATED"
}
openairuntime
google-genai
Environment
{
  "extras": "",
  "marker": null,
  "requires_python": ">=3.7",
  "evaluation": "NOT_EVALUATED"
}
google-genairuntime
anthropic
Environment
{
  "extras": "",
  "marker": null,
  "requires_python": ">=3.7",
  "evaluation": "NOT_EVALUATED"
}
anthropicruntime
ollama
Environment
{
  "extras": "",
  "marker": null,
  "requires_python": ">=3.7",
  "evaluation": "NOT_EVALUATED"
}
ollamaruntime

Distribution files

2 collected
aegish-0.1.2-py3-none-any.whl

bdist_wheel · 10.81 KB · Python py3

Source file
aegish-0.1.2.tar.gz

sdist · 8.88 KB · Python source

Source file

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Observed since 20 Oct, 20:17 UTC

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package_version:5eb032777960d3713c6cfe08346552ab76527a2fbc840acc04f2f42e76854fd9

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