CodeMonkeys gives devs control over their automated GPT logic. The current focus is working on codebases but it is lovingly designed to enable automations of all kinds. This framework aims to use AI effectively, while being reliable, predictable, and tailored to your needs. There is a strong focus on only involving AI at crucial areas of strength, and using good old-fashioned code for everything else.


Keywords
ai, automation, framework, gpt, openai, python
License
MIT
Install
pip install codemonkeys==1.1.3

Documentation

CodeMonkeys

A framework for automating GPT-powered tasks, from simple to complex.

This is the repo for the CodeMonkeys package. To learn about the CodeMonkeys framework, visit the docs or one of the other links below.

🚧 Alpha Status

As of November 30th, I have released a stable Alpha focused on establishing the framework's architecture/concepts to a point of relative stability, and providing a flexible, immediately useful default Automation that is instructional in how it utilizes the framework.

The developer docs at codemonkeys.lol are still a work in progress, although I hope they're good enough to get you started. More updates coming soon! Updates almost every day.

🌐 Overview

CodeMonkeys gives devs control over their automated GPT logic. The current focus is working on codebases but it is lovingly designed to enable automations of all kinds. This framework aims to use AI effectively, while being reliable, predictable, and tailored to your needs. There is a strong focus on only involving AI at crucial areas of strength, and using good old-fashioned code for everything else.

Contributing

If you're interested in contributing, visit CodeMonkeys Docs | Contribute.

Attribution 🙏

All forms of attribution will be greatly appreciated, especially linking directly to this repo.