This repository implements a modular personal assistant featuring pip installation and CPU based inference as a way to promote a system that is easy to setup, have low hardware requirements and is privacy aware.
The aim of this project is to allow tinkerers to easily develop customizable personal assistants based on local LLM's without complicated dependency setup and in-depth knowedge of LLM's and interprocess communication.
Most of things metioned here will be released as soon as the project enters its alpha stage.
WARNING: This repository is in a pre-alpha stage, many of the interfaces you see implemented now will change as the project matures.
I much apriciate ArjanCodes for sharing his clear and concise implementation of a plugin system in which the core of this repository is based. The original implementation can be found here.
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We found that forum demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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