https://github.com/dmotz/emdash

📚🧙‍♂️ Wisdom indexer — use AI to organize text snippets so you can actually remember & learn from what you read
https://github.com/dmotz/emdash

ai books ebook ebooks elm embeddings epub kindle kindle-clippings kindle-highlights literature ml nlp notes reading semantic-search

Last synced: 6 days ago
JSON representation

📚🧙‍♂️ Wisdom indexer — use AI to organize text snippets so you can actually remember & learn from what you read

• Host: GitHub
• URL: https://github.com/dmotz/emdash
• Owner: dmotz
• License: gpl-3.0
• Created: 2019-01-08T00:30:43.000Z (about 6 years ago)
• Default Branch: master
• Last Pushed: 2024-07-24T23:24:17.000Z (6 months ago)
• Last Synced: 2025-01-20T08:06:07.761Z (14 days ago)
• Topics: ai, books, ebook, ebooks, elm, embeddings, epub, kindle, kindle-clippings, kindle-highlights, literature, ml, nlp, notes, reading, semantic-search
• Language: Elm
• Homepage: https://emdash.ai
• Size: 4.75 MB
• Stars: 131
• Watchers: 4
• Forks: 8
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
[![Emdash](https://emdash.ai/images/embed.png?)](https://emdash.ai)

# [Emdash](https://emdash.ai)

> Emdash uses AI to organize text snippets so you can actually remember & learn

> from what you read.

## Features

### Conceptual cousins

On-device AI analysis finds passages with similar ideas from other authors,

often from a different angle.

### Instant semantic search

Find what youʼre looking for with both full-text search and deeper semantic

matching of fuzzy ideas.

### Tag, rate, note, reflect

Organize with tags, add ratings, and annotate your thoughts. Export back to epub

for review on your e-reader.

### Roll the dice, change your lens

Unearth ideas youʼve forgotten about via random discovery. Rephrase dense

concepts and re-explain with metaphors.

### No lock-in

Bring in your highlights from your Kindle or as json, csv, or manual input.

Export instantly to the same open formats.

### Open-source & offline first

On-device analysis means your collection stays on your device until you opt into

advanced features.

## DIY

```

npm install

npm start

```

> habent sua fata libelli