nashsu/llm_wiki
LLM Wiki is a cross-platform desktop application that turns your documents into an organized, interlinked knowledge base — automatically. Instead of traditional RAG (retrieve-and-answer from scratch every time), the LLM incrementally builds and maintains a persistent wiki from your sources。 observed · 2026-08-28
Health v2 · maintenance only
81/100
- Activity 99
- Release rhythm 99
- Longevity 10
Flags: young no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: 1
- age_days: 147
- days_rel: 8
- days_push: 8
- n_releases_24m: 60
Adoption not part of the score
16834 stars · 1993 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
LLM Wiki is a cross-platform desktop application that automatically turns your documents into an organized, interlinked knowledge base. Unlike traditional RAG, it incrementally builds and maintains a persistent wiki from your sources, with a knowledge graph, semantic search, and a tool-using chat agent backed by a Rust runtime.
Use cases
- build a personal wiki from my pdfs and epub books automatically
- turn a folder of documents into an interlinked knowledge base
- chat with my documents with source-grounded answers
- extract images from pdfs and caption them with a vision llm
- discover clusters and connections in my notes with a knowledge graph
- run deep research on the web and ingest results into my wiki
- search my document library with vector semantic search
When to choose
- you want a self-maintaining knowledge base rather than one-off RAG answers
- you need multi-format ingestion (PDF, Office, EPUB, web clips) with source traceability
- you want graph-based insights like community detection and knowledge gaps
- you prefer a local desktop app with configurable LLM providers
When to avoid
- you need a lightweight library to embed into your own app
- you want a pure cloud-hosted collaborative wiki
- you require a permissive open-source license (license is non-standard)
- you only need simple full-text search without LLM processing
Facets
application · maturity active
rag nlp search-engine llm-inference chatbot pdf data-visualization large-language-models developer-tools cross-platform windows knowledge-base wiki-generator document-ingestion knowledge-graph lancedb vector-search rust-backend tauri deep-research personal-knowledge-management retrieval-augmented-generation knowledge-management natural-language-processing desktop macos linux
1 source
- readme: https://github.com/nashsu/llm_wiki · fetched 2026-08-28 · 33661a764d85
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| nashsu/llm_wiki | main | 81 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem