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LLM Wiki V2

LLM Wiki V2 is a locally run Python application that organizes supplied documents into linked Markdown wiki notes and answers questions with citations to those notes.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

LLM Wiki V2 — OpenViST project profile in RAG & Knowledge Systems.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use it when source documents should become editable Markdown notes and questions should be answered with citations back to those notes.

Who it is for

  • Individuals organizing a personal archive of documents.
  • Teams creating a searchable wiki from internal documents.
  • Researchers filing source material into Markdown notes.
  • Developers who want a document knowledge base with a web interface or HTTP API.

Documented uses

  • Ingest `.txt`, `.md` and text-based `.pdf` files into a foldered knowledge wiki.
  • Ask questions and inspect the cited notes behind answers.
  • Browse folders, notes and links through a visual map.
  • Read or edit the resulting Markdown files outside the application and keep them in Git.
  • Use the documented API to ingest text or files, ask questions, and retrieve notes or the wiki graph.
Before you choose

Requirements & limits

The README documents a local installation and a browser interface. It lists Ollama, OpenRouter, OpenAI, Gemini and OpenAI-compatible servers as provider options; Ollama is described as local and requiring no account. The repository identifies the project as AGPL-3.0 licensed.

  • CROW mode uses a classifier to route information; classic mode is available when no separate classifier provider is configured.
  • Supported uploads include .txt, .md and .pdf; scanned PDFs require OCR to add a text layer first.
  • The knowledge base is stored as Markdown files, with Docker documentation placing the wiki under ./wiki.
  • Docker settings are supplied through .env; the README says they can be viewed but not changed in the page.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Install and open a local LLM Wiki

Install the application and reach its first-run provider setup.

Before you start

  • A computer with Python app installation through uv.
  • An LLM provider and its key, or Ollama installed locally.

Steps

  1. Install uv using its documented installation instructions.

  2. Install the wiki with the command below.

    Documented command
    uv tool install "llmw2[server] @ git+https://github.com/crow-hq/llm-wiki-v2"

  3. Run llmwiki2 to open the browser-based setup.

  4. Choose a provider, enter its key if required, test the connection, and save.

Expected outcome

The local application opens with a configured provider, ready for document work.

Guide limitations

  • Provider-specific credentials may be needed; Ollama is the documented local option.
  • This setup guide does not cover importing documents or asking questions.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
13 October 2026
Original website title
crow-hq/llm-wiki-v2 · Official homepage title · retained in its source language
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