Stating with Aeon

The entire system is powered by a local-first technical stack:

Llama.cpp Python Library: A highly efficient library that enables the entire system to run on a local machine's CPU, bypassing the need for powerful, specialized GPUs or cloud services.

GGUF Files: These are the model's brain and eyes in a highly compressed format. They are quantized versions of the original models, which significantly reduces their file size and memory footprint without a major loss in performance.

Docker [Recomended]

Dependencies: Docker

/$ git lfs install /$ git clone https://github.com/gustavokuklinski/aeon.ai.git # Build the Docker Image /$ docker build -t aeon . # Run the image /$ docker run -it --rm -p 4303:4303 -v "$(pwd):/app" aeon

Installation on Linux

Dependencies: build-essentials, Python3.11, git.

/$ git lfs install /$ git clone https://github.com/gustavokuklinski/aeon.ai.git # Prepare the .venv, run check and install dependencies /$ python3 ./install.py # Start virtual env /$ source ./venv/bin/activate # Start AEON /$ python3 ./aeon.py

Installation on Windows

Dependencies: Microsoft C++ Build Tools , Python3.11, git.

C:\aeon.ai\> git lfs install C:\aeon.ai\> git clone https://github.com/gustavokuklinski/aeon.ai.git # Prepare the .venv, run check and install dependencies C:\aeon.ai\> python install.py # Start virtual env C:\aeon.ai\> .\.venv\Scripts\activate.bat # Start AEON C:\aeon.ai\> python ./aeon.py

Powerful CLI

Command-line interface (CLI) was designed to be fast and a minimalist experience, making it perfect for developers and power users who want to interact with the AI directly.

Some command parameters may change on the web interface.

Commands