# reor **Repository Path**: fyql/reor ## Basic Information - **Project Name**: reor - **Description**: AI note-taking app that runs models locally. - **Primary Language**: Unknown - **License**: AGPL-3.0 - **Default Branch**: main - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2026-02-04 - **Last Updated**: 2026-03-15 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README

Reor Project

A self-organizing AI note-taking app that runs models locally.

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New: We are now accessible via discord, hop by to give ❤️feedback❤️ or discuss our upcoming features!

## About **Reor** is an AI-powered desktop note-taking app: it automatically links related ideas, 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 [Llama.cpp](https://github.com/ggerganov/llama.cpp), [Transformers.js](https://github.com/xenova/transformers.js) & [LanceDB](https://github.com/lancedb/lancedb) to enable both LLMs and embedding models to run locally. (Connecting to OpenAI-compatible APIs like Oobabooga is also supported.) ### How can it possibly be "self-organizing"? 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 the 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. https://github.com/reorproject/reor/assets/17236551/1bbc1b2d-c3d9-451c-a008-7f12c84f96db ### Getting Started 1. Download from [reorproject.org](https://reorproject.org) or [releases](https://github.com/reorproject/reor/releases). Mac, Linux & Windows are all supported. 2. Install like a normal App. ### Running local models Reor interacts directly with [Llama.cpp](https://github.com/ggerganov/llama.cpp) libraries so there's no need to download Ollama. Although right now, we don't download models for you so you'll need to download your model of choice manually: 1. Download a GGUF model file. [Hugging Face](https://huggingface.co/models?sort=downloads&search=gguf) has this nice page with the most popular models. I recommend starting with a 7B 4-bit model and see how that performs on your system. 2. Connect it in Reor settings under "Add a new local model". 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. Integrations with other apps are hopefully coming soon! ### Building from source Make sure you have [nodejs](https://nodejs.org/en/download) 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 ``` ### Contributions Contributions are welcome in all areas: features, ideas, bug fixes, design, etc. This is very much a community driven project. There are some open issues to choose from. For new features, please open an issue to discuss it before beginning work on a PR :) ### Folder Structure The main components of the project are located in the following directories: - `/electron`: Contains the backend functions that manage all the filesystem as well as the Low-Level Module (LLM). - `/src`: Contains the frontend of the application, which is a React app. #### Backend The backend of the application is located in the `/electron` directory. It is divided into several subdirectories: - `/Store`: Handles the main functions for the backend in the `storeHandler.ts` file. - `/preload`: Acts as a middleware that exposes the backend functions to the frontend. #### Frontend The frontend of the application is a React app located in the `/src` folder. It communicates with the backend through the functions exposed by the `/preload` middleware inside the `/electron` folder. ## License GPL-3.0 license. See `LICENSE` for details. *Reor means "to think" in Latin.*