praneybehl/llm-wiki-plugin

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# LLM Wiki — a Claude Code Plugin

Build and maintain an LLM-curated personal knowledge base in your project. An implementation of [Andrej Karpathy's LLM Wiki pattern](https://gist.github.com/karpathy/442a6bf555914893e9891c11519de94f) as a Claude Code plugin, designed to scale to thousands of pages without becoming a context bottleneck.

## What is this?

Most ways of using LLMs with documents look like RAG: you upload files, the LLM retrieves chunks at query time, generates an answer, and nothing accumulates. Every question re-derives knowledge from raw fragments. Karpathy's LLM Wiki pattern flips this — when a new source arrives, the LLM compiles it once into a persistent, structured wiki of markdown pages, and subsequent queries read the pre-synthesized wiki rather than the raw sources. Knowledge compounds.

This plugin packages the pattern as a Claude Code skill plus six slash commands (`/wiki:init`, `/wiki:ingest`, `/wiki:query`, `/wiki:lint`, `/wiki:stats`, `/wiki:graph`) and a small set of bundled Python scripts (BM25 search, structural lint, stats with scaling thresholds, plus an optional compiled graph layer). You curate sources and ask questions; Claude does the bookkeeping.

## Why use it

The maintenance burden is what kills personal wikis. Updating cross-references, keeping summaries current, noting when new data contradicts old claims, maintaining consistency across dozens of pages — humans abandon this work. LLMs don't get bored, don't forget to update a backlink, and can touch fifteen files in one pass. The wiki stays alive because the cost of maintenance is near zero.

The pattern shines for accumulating textual research over weeks or months — papers, articles, transcripts, meeting notes, book chapters, customer calls — and degrades for highly relational data where a real database would serve better.

## Installation

### Claude Code — full plugin

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