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LLM Wiki: Auto Knowledge Base

Get an organized knowledge base from your documents with LLM Wiki, ideal for founders, backed by 12k+ GitHub stars
intermediate⏱ 30 minutesπŸ’΅ Free (self-hosted)
15,895 stars1,875 forksTypeScriptHealth Score 9/10Updated 8/2/2026100% free Β· open source
What it is

Turns your documents into an organized, interlinked knowledge base automatically.

What you can make with it

An organized knowledge base, like Wikipedia for your company's data.

How it helps

Spares you time and effort to maintain a knowledge base from scratch, saving you effort to constantly search for missing information.

Real use case example

"A founder wants to create a centralized knowledge base for product documentation. They upload their internal documents, which are then automatically organized into a wiki. They can then link related documents and search through the knowledge base for answers, replacing the need for multiple spreadsheets or folders."

If you're new

Choose this when you just need a simple, easy knowledge base to get started.

If you're senior

Pick this when you need to scale your existing knowledge base, or maintain one with a large number of sources.

Common confusion cleared up

LLM Wiki may require some technical knowledge to set up and use, but it's free and customizable, making it worth the effort for many users.

Best inside these AI tools
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Pairs with
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Why we list it on WorkflowStacks: Available as a free, open-source tool that's backed by a community of users.
What it does

LLM Wiki automatically turns your documents into an organized, interlinked knowledge base, allowing you to retrieve information efficiently without having to answer questions from scratch every time.

Install / run
git clone https://github.com/nashsu/llm_wiki.git && cd llm_wiki
When to use it
  • β€’You have a large collection of documents and want to create a searchable knowledge base without manual effort.
  • β€’Your team needs to share knowledge and collaborate on document-based projects.
  • β€’You want to build a personal knowledge management system to organize your notes and research.
Quick start
  1. 1Run `npm install` to install the required dependencies.
  2. 2Use `npm run build` to build the application.
  3. 3Run `npm run start` to start the LLM Wiki application.
  4. 4Configure your document sources in the `config.json` file.
  5. 5Use the application's UI to create and manage your knowledge base.
Ready-to-paste prompt
Create a new knowledge base from afolder of documents: `npm run start -- --input=/path/to/documents --output=/path/to/knowledge/base`
Heads up: Make sure you have Node.js 16.14 or higher installed, as LLM Wiki requires this version to run.
Saves to your device
How LLM Wiki: Auto Knowledge Base works
Codeflow
Free to inspect

LLM Wiki: Auto Knowledge Base is a very large TypeScript project (~122k lines across 395 code files, plus 7 test files). It is a full software project: use it through its install path rather than reading it end to end. Last commit this month, Other license, has a test suite.

Size
Very large codebase
~122k lines Β· 395 code files Β· days to read β€” use, don't read
Setup
Developer setup
A real software project. Use it via its install path; don't expect to read it all.
Runs on
Node.js
No API keys detected
TypeScript 71%Rust 26%JavaScript 3%
Where to start reading
  1. 1
    README.md
    Start here β€” what it does and how to install it
  2. 2
    src/App.tsx
    Where the program starts running
  3. 3
    package.json
    Dependencies and the commands it exposes
What's in each folder
src/Core code β€” the actual logic353 files
extension/Sub-packages / plugins10 files
src-tauri/Folder60 files
mcp-server/Folder10 files
plans/Folder1 files
scripts/Helper scripts1 files
assets/Images & static assets9 files
.github/CI / automation (GitHub Actions)3 files
READMEHas testsDocumentedCI checksOther licenseUpdated this month
Quick Actions
Details
Creator
nashsu
Language
TypeScript
Category
ai-agent
Published
4/8/2026

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