hellohejinyu

hellohejinyu / llm-wiki

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An LLM-powered personal wiki CLI.

31
5
100% credibility
Found Apr 06, 2026 at 31 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

A command-line tool that builds and maintains a personal Markdown-based wiki by using AI to ingest documents, create linked concept pages, answer queries with citations, and perform health checks.

How It Works

1
📚 Discover your personal wiki builder

You hear about a simple tool that turns your scattered notes and articles into a smart, connected knowledge base that grows over time.

2
🏠 Set up your wiki home

Create a folder on your computer and prepare it as the cozy home for all your knowledge with one easy start command.

3
📝 Add your raw notes and articles

Paste in documents, conversations, or ideas, giving each a quick description so they're ready to organize.

4
🤖 Let AI weave it all together

The smart helper reads your additions, creates linked pages, connects ideas, and builds an index – like magic happening before your eyes.

5
❓ Ask questions and get answers

Pose any question about your knowledge, and receive clear responses with references to exactly where the info came from.

6
🧹 Keep everything tidy and healthy

Run a quick check to spot loose ends, fix links, or add missing pieces so your wiki stays sharp and complete.

🌟 Enjoy your growing brain

Your personal wiki now remembers everything, answers deeply, and gets smarter with every new note you add – knowledge at your fingertips forever.

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Star Growth

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AI-Generated Review

What is llm-wiki?

llm-wiki is a TypeScript CLI for building an LLM-powered personal wiki from raw Markdown notes, articles, or code snippets. It ingests documents into a persistent, interlinked knowledge base with automatic citations, then lets you query via a multi-step ReAct agent that reads index, concepts, and sources for synthesized answers. Solves the "rediscover knowledge every query" problem in traditional RAG by compiling and maintaining wiki pages that evolve over time.

Why is it gaining traction?

Unlike basic LLM RAG tools, it auto-links new content, runs semantic linting for contradictions or orphans, and exports pure Markdown for Obsidian or VS Code with zero lock-in. Commands like `wiki ingest`, `wiki query`, `wiki lint --fix` make maintenance effortless, appealing to devs exploring llm wiki github projects or llm-powered personal assistants. OpenAI-compatible APIs including Ollama hook experimenters fast.

Who should use this?

Solo devs or researchers curating notes from papers, tutorials, or chats into queryable wikis. Ideal for AI hobbyists building llm powered applications github, like personalized agents for long-term dialogue, or tracking domain knowledge in law, diabetes prediction, or Wikidata experiments. Skip if you need team-scale or heavy embeddings.

Verdict

Worth a spin for personal llm wiki setups—solid CLI, great docs, MIT license—but 31 stars and 1.0% credibility signal early maturity with light tests. Production users wait; tinkerers grab it now for cli llm-powered wikis.

(187 words)

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