I turned Karpathy's LLM Wiki into a native GNOME app (and it works offline)
In April, Andrej Karpathy posted a short "idea file" called LLM Wiki . The pitch: stop making your model re-read raw documents on every question. Let it build and maintain a wiki from your sources instead, a persistent Markdown knowledge base that gets better every time you add something. The internet went wild. Within a week there were thousands of repos implementing it, and two of them crossed…
Andrej Karpathy introduced LLM Wiki in April, proposing an idea to build a persistent Markdown knowledge base for AI models instead of them re-reading raw documents for each query. The concept quickly gained traction, with thousands of repositories implementing it within a week, two of which accumulated over 20,000 GitHub stars.
However, one challenge remained: none of the existing versions felt suitable for a Linux desktop environment. To address this, a team developed gknowledge, a native GNOME app that brings Karpathy's LLM Wiki to Linux users. gknowledge functions as a knowledge workstation, transforming documents into evolving AI-assisted knowledge bases.
It accepts user documents, creates a linked wiki, and keeps it up to date with the help of an LLM. The app is designed to be offline by default and uses plain Markdown files stored on the disk, making it compatible with Obsidian. Users can choose their preferred AI model - a local one, any OpenAI-compatible endpoint, or even their own ChatGPT plan - making gknowledge a versatile tool for managing knowledge bases on Linux desktops.
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