#27 · Primary category： Knowledge Base & RAG
llm_wiki
A cross-platform desktop app that automatically builds and maintains an interlinked personal wiki from your documents, using LLM-driven incremental ingestion and source-grounded retrieval.
Project last updated：08/25/26
GitHub Stars
17.1K
Forks
2.0K
Contributors
42
License
Other
Why we included this project
Most retrieval tools answer each question by searching your files from scratch. This desktop app instead has an LLM read your material once and build it into a persistent, interlinked wiki that updates as you add sources. The result is a knowledge base with cross-referenced pages and a knowledge graph that clusters related topics, while answers can be restricted to your own imported documents so the model's general knowledge stays out of the response. It ingests PDFs, EPUB, Org mode, web clips, and batches of URLs, and exposes a local HTTP API and MCP server so other tools can query the same store. If you want a self-hosted, Obsidian-compatible knowledge base that an LLM maintains for you, this is worth a look.
Articles for this project
No articles for this project yet.
To suggest a topic or contribute an article, contact us.
Related projects in this category
ragflow
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
Understand-Anything
Graphs that teach > graphs that impress. Turn any code into an interactive knowledge graph you can explore, search, and ask questions about. Works with Claude Code, Codex, Cursor, Copilot, Gemini CLI, and more.
crawl4ai
🚀🤖 Crawl4AI: Open-source LLM Friendly Web Crawler & Scraper. Don't be shy, join here: https://discord.gg/jP8KfhDhyN
docling
Get your documents ready for gen AI
anything-llm
Stop renting your intelligence. Own it with AnythingLLM. Everything you need for a powerful local-first agent experience