ai-agent

llm-wiki-compiler: Turn Raw Docs into an Interlinked Knowledge Wiki

Create a searchable, markdown‑based wiki from any source material in seconds. Ideal for founders building internal knowledge bases or product docs. 2.2k+ GitHub stars.

From the repo · “The knowledge compiler. Raw sources in, interlinked wiki out. Inspired by Karpathy's LLM Wiki pattern.”

2,209 stars+27★ this week235 forksTypeScriptGuide quality 8/10 · reviewed Oct 7Updated 10/19/2026100% free · open source
What it does

The llm-wiki-compiler takes raw sources of information and compiles them into an interlinked wiki, streamlining the process of creating a knowledge base.

When to use it
  • •When you have a large amount of unorganized knowledge that needs to be structured and linked together
  • •When creating a wiki or documentation for a project and want to automate the process
  • •When integrating Karpathy's LLM Wiki pattern into your workflow and need a tool to compile the data
Ready-to-paste prompt
node dist/index.js --input sources.json --output wiki
Heads up: Make sure you have Node.js and TypeScript installed on your system, as well as the necessary dependencies, which can be installed by running 'npm install' in the project directory
Saves to your device
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

🛠️ Technical setup

Expect 20–40 minutes in a terminal — or let your AI agent drive it.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/llm-wiki-compiler && curl -fsSL https://workflowstacks.com/api/skills/llm-wiki-compiler/claude-skill -o ~/.claude/skills/llm-wiki-compiler/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How llm-wiki-compiler: Turn Raw Docs into an Interlinked Knowledge Wiki works
Codeflow
Free to inspect

Llm-wiki-compiler: Turn Raw Docs into an Interlinked Knowledge Wiki is a very large TypeScript project (~247k lines across 1212 code files, plus 1849 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, MIT license, has a test suite.

Size
Very large codebase
~247k lines · 1212 code files · days to read — 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 98%JavaScript 2%CSS 1%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    AGENTS.md
    The instructions the AI actually follows
  3. 3
    src/cli.ts
    Where the program starts running
  4. 4
    package.json
    Dependencies and the commands it exposes
  5. 5
    examples/basic/README.md
    A worked example — copy this to get going
What's in each folder
src/Core code — the actual logic1218 files
skills/Prompts, skills & agent definitions1 files
packages/Sub-packages / plugins20 files
docs/Documentation62 files
examples/Examples you can copy10 files
scripts/Helper scripts14 files
test/Tests — proof it works1889 files
.github/CI / automation (GitHub Actions)5 files
READMEHas testsDocumentedCI checksExamples includedMIT licenseUpdated this month
Quick Actions
Details
Creator
atomicstrata
Language
TypeScript
Category
ai-agent
Published
4/5/2026

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Featured on WorkflowStacks
[![Featured on WorkflowStacks](https://workflowstacks.com/api/badge/llm-wiki-compiler.svg)](https://workflowstacks.com/skills/llm-wiki-compiler?utm_source=github&utm_medium=badge)
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