Project N.O.M.A.D. is a self-contained, offline-first knowledge and education server designed to provide critical tools, knowledge, and AI capabilities regardless of internet connectivity. It's installable on Debian-based systems and accessible through a browser interface. The project includes features like an AI chat powered by Ollama, an offline information library via Kiwix, an education platform using Khan Academy and Kolibri, and data tools like CyberChef.
It aims to be a comprehensive resource for learning, data analysis, and offline access to vital information.
It aims to be a comprehensive resource for learning, data analysis, and offline access to vital information.
This project details how to serve offline content (Wikipedia, etc.) from an ESP32 microcontroller, specifically using a LILYGO T-Dongle-S3. It covers the process from downloading ZIM files, processing them with Python scripts, transferring to an SD card, and loading a sketch onto the microcontroller to serve the content via a WiFi access point.
Turn any Kiwix ZIM archive (offline Wikipedia, Stack Exchange, DevDocs, etc.) into an instant knowledge source for LLMs with a tiny CLI + Python server exposing searchable chunks, metadata and citations.
