Last updated
Private & local AI personal knowledge management app.
$ winget install --id ReorProject.Reor --exact --version 0.2.31Run in Command Prompt, PowerShell, or Windows Terminal. Prompts for any agreements.
Reor uses EXE (NSIS). The silent install switches are /S.
Reor_0.2.31.exe /S /currentuser
For IT teams
App deployment, patching, and remote support in one place. Push this app to every device you manage, keep it patched automatically, and see new CVEs the moment they land. Works with Intune or fully standalone.
Sign up freeFree for up to 5 devices.
Reor is an AI-powered desktop note-taking app: it automatically links related notes, answers questions on your notes, provides semantic search and can generate AI flashcards. 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.
Copy a command tailored to that specific architecture, type, and scope - useful when winget would otherwise pick a different default.
No known CVEs for Reor.
Coverage is best-effort and depends on a winget package mapping to an NVD CPE entry. Absence here is not a guarantee of safety.
More from Sam L'Huillier or browse ai, large-language-model, llama.