// summary
LLM Wiki is a cross-platform desktop application that automatically transforms your documents into an organized, interlinked knowledge base. It utilizes a two-step chain-of-thought ingestion process to maintain a persistent wiki that remains current as your sources evolve. The system features advanced graph-based insights, vector semantic search, and seamless Obsidian compatibility to help users manage and discover knowledge effectively.
// technical analysis
LLM Wiki is a cross-platform desktop application that evolves Andrej Karpathy's abstract knowledge base pattern into a robust, automated system for managing personal information. By implementing a two-step chain-of-thought ingestion process and a persistent knowledge graph, it solves the problem of fragmented, static documentation by continuously synthesizing and interlinking new data into a coherent, self-updating wiki. The project prioritizes structural integrity and human-in-the-loop oversight, utilizing a sophisticated relevance model and asynchronous review system to ensure that the generated knowledge remains accurate and actionable.
// key highlights
// use cases
// getting started
To begin using LLM Wiki, download the appropriate installer for your operating system (macOS, Windows, or Linux) from the project's releases. Upon launching the application, configure your preferred LLM provider and API keys in the Settings panel. You can then start building your knowledge base by importing folders of documents or using the Chrome extension to clip web content directly into your project.