atomicmemory

atomicmemory / llm-wiki-compiler

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The knowledge compiler. Raw sources in, interlinked wiki out. Inspired by Karpathy's LLM Wiki pattern.

cli compiler context-engineering karpathy knowledge-base
45
7
100% credibility
Found Apr 06, 2026 at 45 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

A tool that ingests web articles and local files, uses AI to extract concepts into interlinked Markdown wiki pages, supports querying the wiki, and allows saving answers to expand it incrementally.

How It Works

1
🔍 Discover llmwiki

You hear about a simple way to turn scattered articles and notes into your own personal, linked wiki that grows smarter over time.

2
⚙️ Get ready

You set up the wiki builder by connecting an AI service to help understand and organize your content.

3
📥 Add your sources

You grab web articles or local notes and add them to your collection.

4
✨ Build the wiki

You compile everything and watch key ideas transform into neat, interlinked pages with summaries and connections.

5
❓ Ask questions

You type natural questions and get clear answers pulled straight from your wiki.

6
💾 Save new knowledge

You save helpful answers as fresh wiki pages, making future questions even better.

📚 Enjoy your wiki

Your personal knowledge base is now browsable, compounding, and ready for endless discoveries.

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AI-Generated Review

What is llm-wiki-compiler?

llm-wiki-compiler is a TypeScript CLI that compiles raw sources—URLs or local files—into an interlinked markdown wiki powered by Anthropic's Claude. Inspired by Karpathy's LLM Wiki pattern, it extracts key concepts into standalone pages with wikilinks, builds an auto-generated index, and supports queries that can save answers back as new pages for compounding knowledge. You get an Obsidian-compatible github knowledge base ai that persists relationships instead of re-retrieving them every time.

Why is it gaining traction?

Unlike RAG's forgetful chunk search, it creates a structured github knowledge graph llm where pages link naturally and updates are incremental via file hashes—only changed sources hit the API. Watch mode auto-recompiles on source tweaks, and query --save turns answers into retrievable context, making your github knowledge management system evolve. The alpy knowledge compiler hook resonates with devs building persistent artifacts over ad-hoc tools.

Who should use this?

AI researchers turning papers and notes into a browsable knowledge gate compiler design reference, technical writers linking scattered docs for a github knowledge base copilot, or engineers ditching bookmark graveyards for an interlinked wiki. Ideal for small corpora like project notes or Karpathy-style explorations.

Verdict

Promising early take on a knowledge compiler with clean CLI (ingest, compile, query, watch) and strong docs, but 45 stars and 1.0% credibility score reflect its youth—no tests or multi-LLM yet. Try it for prototyping your github knowledge management; fork if you want zero knowledge compilers or OpenAI support.

(198 words)

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