reorproject/reor

★ 8,552⑂ 528

Private & local AI personal knowledge management app for high entropy people.

About reorproject/reor

reorproject/reor is an open-source project on GitHub, mainly written in JavaScript. Private & local AI personal knowledge management app for high entropy people. It currently holds 8,552 stars and 528 forks with 0 open issues, and was last pushed on an unknown date (repository created unknown).

Project Overview

AI Homed tracks it on the Local & On-Device AI board.

GitHub Repository Details

Repository reorproject/reor · default branch - · size 0 KB · watchers 0 · source: GitHub REST API and repository README

README

Reor Project

Private & local AI personal knowledge management app.

https://github.com/reorproject/reor/blob/HEAD/GitHub Downloads (all assets, all releases) https://github.com/reorproject/reor/blob/HEAD/Discord https://github.com/reorproject/reor/blob/HEAD/GitHub Repo stars

### 📢 Announcement
> We are now on Discord! Our team is shipping very quickly right now so sharing ❤️feedback❤️ with us will really help shape the product 🚀

About

Reor is an AI-powered desktop note-taking app: it automatically links related notes, answers questions on your notes and provides semantic search. Everything is stored locally and you can edit your notes with an Obsidian-like markdown editor.

The hypothesis of the project is that AI tools for thought should run models locally _by default_. Reor stands on the shoulders of the giants Ollama, Transformers.js & LanceDB to enable both LLMs and embedding models to run locally:

1. Every note you write is chunked and embedded into an internal vector database. 2. Related notes are connected automatically via vector similarity. 3. LLM-powered Q&A does RAG on your corpus of notes. 4. Everything can be searched semantically.

One way to think about Reor is as a RAG app with two generators: the LLM and the human. In Q&A mode, the LLM is fed retrieved context from the corpus to help answer a query. Similarly, in editor mode, the human can toggle the sidebar to reveal related notes "retrieved" from the corpus. This is quite a powerful way of "augmenting" your thoughts by cross-referencing ideas in a current note against related ideas from your corpus.

Getting Started

1. Download from reorproject.org or releases. Mac, Linux & Windows are all supported. 2. Install like a normal App.

Running local models

Reor interacts directly with Ollama which means you can download and run models locally right from inside Reor. Head to Settings->Add New Local LLM then enter the name of the model you want Reor to download. You can find available models here.

You can also connect to an OpenAI-compatible API like Oobabooga, Ollama or OpenAI itself!

Importing notes from other apps

Reor works within a single directory in the filesystem. You choose the directory on first boot. To import notes/files from another app, you'll need to populate that directory manually with markdown files. Note that if you have frontmatter in your markdown files it may not parse correctly. Integrations with other apps are hopefully coming soon!

Building from source

Make sure you have nodejs installed.

Clone repo

git clone https://github.com/reorproject/reor.git

Install dependencies

npm install

Run for dev

npm run dev

Build

npm run build

Interested in contributing?

We are always on the lookout for contributors keen on building the future of knowledge management. Have a feature idea? Want to squash a bug? Want to improve some styling? We'd love to hear it. Check out our issues page and the contributing guide to get started.

License

AGPL-3.0 license. See LICENSE for details.

_Reor means "to think" in Latin._

GitHub Stars & Activity

8,552Stars
528Forks
0Open issues
JavaScriptLanguage

GitHub Popularity

GitHub stars8,552
Forks528
Open issues0
Primary languageJavaScript
License-
Stars gained today0
Created-
Last pushed-

Trending History

Trending statusnot on today's boards

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