xiaolai

xiaolai / reading-assistant-for-claude

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Process EPUB books into summaries, knowledge extractions, Obsidian notes, and RAG databases

10
0
100% credibility
Found Mar 22, 2026 at 10 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A plugin for AI chat apps that transforms digital ebooks into multilingual summaries, extracted knowledge, note-taking cards, synthesized reviews, and a searchable wisdom database.

How It Works

1
📚 Find the Reading Helper

You hear about a handy tool in your AI chat app that turns your ebooks into easy-to-use notes and summaries.

2
➕ Add It to Your Chat

With one simple command, you invite the reading helper into your conversations so it's ready to use.

3
⚙️ Get It Ready

Tell it once to prepare everything, and it sets up quietly in the background.

4
📖 Share Your Book

Drop in your digital book file and pick what you want—like summaries or notes—and it starts creating magic from the pages.

5
⏳ Watch It Process

It reads the book, makes summaries in different languages, pulls out key ideas and quotes, even checks everything for quality.

6
📝 Receive Your Treasures

You get neat chapter summaries, smart note cards for your note-taking app, and a magic search box for the book's wisdom.

🎉 Build Your Knowledge Library

Now you can search any book anytime, link ideas across books, and grow a personal treasure chest of insights from what you read.

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AI-Generated Review

What is reading-assistant-for-claude?

This Claude plugin turns EPUB books into structured knowledge: multilingual chapter summaries, extractions like facts and quotes, synthesized reviews from multiple sources, Obsidian Zettelkasten notes, and a sqlite-vec RAG database for hybrid search. Unlike ChatGPT, Kindle, or NotebookLM—which can't process EPUB natively—you feed it a book via /read:process , and it handles parsing, AI processing, quality checks, and outputs in one resumable pipeline. Built in Python, it supports Claude models, Ollama for local runs, and configurable embeddings.

Why is it gaining traction?

It stands out with built-in QC agents that verify quotes and coverage before outputting, plus per-book and cross-library RAG querying via /read:query. Obsidian integration auto-generates linked notes (MOCs, chapters, concepts), saving hours of manual work. The hook: seamless Claude chat commands for books, databases, and extractions without leaving your AI assistant.

Who should use this?

Obsidian users building personal knowledge vaults from non-fiction EPUBs. Researchers or devs prototyping RAG systems from book libraries. Claude power users tired of copy-pasting book text for summaries or extractions.

Verdict

Worth trying if you're deep in Claude and Obsidian—docs are thorough, commands intuitive, outputs polished. At 10 stars and 1.0% credibility, it's early-stage with adoption risks; test on a small book first before library-scale use.

(187 words)

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