cocommit — Agent Tool by andrewromanenco

by andrewromanenco · Agent Tool · ★ 147

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About cocommit

Cocommit: A Copilot for Git Cocommit is a command-line tool that works with your HEAD commit and leverages an LLM of your choice to enhance commit quality. A good commit consists of multiple elements, but at a minimum, it should have a well-crafted commit message. Cocommit analyzes the message from the last (HEAD) commit and suggests improvements, highlighting both strengths and areas for enhancement. Cocommit v2 is currently in development and will introduce many new features—see the v2 documentation for details. Cocommit utilizes LangChain as an abstraction layer to access various Large Language Models (LLMs). Why Use Cocommit? Works with the LLM of your choice Provides a simple foundation for building custom AI-powered tools Easily integrates into your development workflow Allows customization of the LLM experience to fit your project needs Table of Contents Example CLI Session Installation Usage Example: Using OpenAI [Simplifyi

Quick Facts

Stars147
Forks4
LanguagePython
CategoryAgent Tool
LicenseMIT
Quality Score34.75/100
Last Updated2025-03-23
Created2025-03-12
Platformspython
Est. Tokens~7k

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Frequently Asked Questions

What is cocommit?

cocommit is Cocommit is a command-line tool that works with your HEAD commit and leverages an LLM of your choice to enhance commit quality.. It is categorized as a Agent Tool with 147 GitHub stars.

What programming language is cocommit written in?

cocommit is primarily written in Python.

How do I install or use cocommit?

You can find installation instructions and usage details in the cocommit GitHub repository at github.com/andrewromanenco/cocommit. The project has 147 stars and 4 forks, indicating an active community.

What license does cocommit use?

cocommit is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to cocommit?

The top alternatives to cocommit on Agent Skills Hub include excalidraw-diagram-skill, agent-skills, awesome-android-agent-skills. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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