Summary
Reor is a worthy addition to our Machine Learning series. At the time of writing, the project has amassed nearly 7K GitHub stars.
Reor is an interesting project to say the least and not like the typical notes program we’ve previously covered. Each note you write is embedded into an internal vector database with related notes connected automatically. It’s pretty neat although the notes functionality is currently somewhat limited e.g. there’s no ability to insert images into notes, and flashcards are quite simplistic.
Also, only Markdown is supported. We’d love to see other document types supported such as PDFs and plain text.
The developers’ vision for Reor is for the program to become a self-organizing knowledge base that runs LLM workflows and is backed by a knowledge graph.
Note, by default Reor tracks anonymous usage data. But this can be disabled in the Settings / Analytics section.
Website: github.com/reorproject/reor
Support:
Developer: Reor Project
License: GNU Affero General Public License v3.0
For other useful open source apps that use machine learning/deep learning, we’ve compiled this roundup.
Reor is written in TypeScript. Learn TypeScript with our recommended free books and free tutorials.
Pages in this article:
Page 1 – Introduction and Installation
Page 2 – In Operation
Page 3 – Summary
Related Software
| Desktop Wiki GUI Notes Apps | |
|---|---|
| Zim Desktop Wiki | Brings the concept of a wiki to your desktop |
| logseq | Privacy-first platform for knowledge management and collaboration |
| AppFlowy | Bring projects, wikis, and teams together with AI. |
| Trilium Notes | Hierarchical note taking application |
| SilverBullet | Note-taking application optimized for people with a hacker mindset |
| Tangent | Designed to let you write the way you think |
| MyTetra | Smart manager for information collecting |
| WikidPad | Wiki-like notebook for storing your thoughts, ideas, todo lists |
| Reor | AI note-taking app |
Read our verdict in the software roundup.
 Explore our comprehensive directory of recommended free and open source software. Our carefully curated collection spans every major software category.This directory is part of our ongoing series of informative articles for Linux enthusiasts. It features hundreds of detailed reviews, along with open source alternatives to proprietary solutions from major corporations such as Google, Microsoft, Apple, Adobe, IBM, Cisco, Oracle, and Autodesk. You’ll also find interesting projects to try, hardware coverage, free programming books and tutorials, and much more. Discovered a useful open source Linux program that we haven’t covered yet? Let us know by completing this form. |