Project Title

reor — Private & Local AI-Powered Personal Knowledge Management App

Overview

Reor is a cutting-edge, AI-driven desktop note-taking application that emphasizes privacy and local storage. It automatically links related notes, answers questions about your notes, and offers semantic search capabilities. Reor leverages local AI models to ensure data privacy and control, distinguishing it from cloud-based solutions.

Key Features

Local AI models for privacy and control over data
Automatic linking of related notes through vector similarity
Semantic search and question-answering capabilities on notes
Obsidian-like markdown editor for note editing

Use Cases

High-entropy individuals seeking a private and local knowledge base
Researchers and academics needing to manage and cross-reference extensive notes
Professionals in fields requiring secure note-taking and data privacy

Advantages

Enhances thought organization by linking related notes and ideas
Provides a secure, local-first approach to knowledge management
Offers a powerful search functionality that understands the context of notes

Limitations / Considerations

Manual import of notes from other apps may be required
Frontmatter in markdown files may not parse correctly
Integrations with other apps are not yet fully developed

Obsidian: A popular knowledge management tool that also uses markdown but lacks the AI-powered features of Reor.
Roam Research: A note-taking tool that emphasizes networked thought, but it is cloud-based and does not offer local AI models.
Notion: A versatile note-taking and organization app that provides cloud-based solutions, contrasting with Reor's local-first approach.

Basic Information

GitHub: https://github.com/reorproject/reor
Stars: 8,281
License: Unknown
Last Commit: 2025-10-05

📊 Project Information

Project Name: reor
GitHub URL: https://github.com/reorproject/reor
Programming Language: JavaScript
⭐ Stars: 8,281
🍴 Forks: 506
📅 Created: 2023-11-27
🔄 Last Updated: 2025-10-05

🏷️ Project Topics

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📚 Documentation

This article is automatically generated by AI based on GitHub project information and README content analysis

reor

Project Description