ThibautBaissac

ThibautBaissac / kb-physics

Public

A personal LLM-maintained knowledge base

thibautbaissac.github.io
16
2
100% credibility
Found Apr 16, 2026 at 16 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
JavaScript
AI Summary

A personal knowledge base that uses AI to compile and interlink physics articles into structured wiki pages, with an optional visual explorer for graphs, timelines, tables, and chat.

How It Works

1
🔍 Discover the physics organizer

You find this cool tool for turning physics articles into your own smart wiki.

2
📥 Download to your computer

Grab the project files and save them on your machine.

3
🔗 Link your AI helper

Connect a thinking AI service so it can build and organize everything.

4
🌐 Collect physics sources

Share links to articles, papers, or talks, and it pulls them in.

5
✨ AI builds your wiki

Watch as the AI creates summaries, links pages together, and flags key ideas automatically.

6
🖥️ Launch the explorer

Open a web view to browse your knowledge as colorful graphs, timelines, and lists.

7
💬 Chat and explore

Ask questions about physics, see answers with sources, and dive into details.

🎉 Enjoy your physics brain

You now have a living, connected collection of physics wisdom that grows with you.

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Star Growth

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AI-Generated Review

What is kb-physics?

kb-physics is a personal GitHub repository for an LLM-maintained knowledge base on physics topics like the kb physics constant, kb physics value in eV, and what is kb in thermal physics. Using JavaScript-powered tools and Claude Code slash commands (/kb:fetch for URLs, /kb:ingest for files, /kb:query for answers), you drop in articles or papers, and the LLM compiles them into a structured, interlinked markdown wiki with summaries, cross-references, and evidence tiers. A visual explorer app offers graph, timeline, table views plus agent chat—no vector DBs or RAG needed.

Why is it gaining traction?

It skips complex RAG setups for pure LLM "compilation" of markdown, making maintenance effortless with auto-linting for contradictions and batch-fetch scripts. The domain-agnostic design lets you fork for any topic, and the web app's live graph with hulls, zoomable timelines, and artifact rendering feels snappy for exploration. Developers dig the Claude integration for hands-off bookkeeping on personal GitHub repositories.

Who should use this?

Physics hobbyists or researchers curating notes on kb formula physics or cosmology without database hassle. Suited for devs using personal GitHub accounts for work, prototyping knowledge bases on niche domains like kb institute of physics kurnool topics, or anyone wanting a lightweight LLM wiki over bloated alternatives.

Verdict

Worth forking for personal use—excellent docs and adaptable structure outweigh the 16 stars and 1.0% credibility score. Still early; lacks broad tests, but run it on your personal GitHub page for quick physics KB wins.

(198 words)

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