Analysis updated 2026-05-18
Browse and search Obsidian Markdown notes through a subject-organized dashboard without leaving the browser.
Study using automatically generated flashcards from notes that contain :: or ?? markers.
Use a local AI model to refine rough notes typed into the quick-capture buffer.
Track tasks from a synced Markdown checklist file alongside your study sessions.
| isharpals-06/second-brain_prototype | alexlabs-ai/brain-concierge | ayushnau/workday_jobautomator | |
|---|---|---|---|
| Stars | 0 | 0 | 0 |
| Language | JavaScript | JavaScript | JavaScript |
| Setup difficulty | moderate | moderate | moderate |
| Complexity | 3/5 | 3/5 | 3/5 |
| Audience | general | developer | general |
Figures from each repo's GitHub metadata at analysis time.
Requires Node.js 18+, Ollama installed and running, and a folder of Obsidian Markdown notes to point at.
Neural Brain is a local web dashboard for students who want to organize their study notes and review them with AI assistance, all without sending data to the cloud. It connects to a folder of notes written in Obsidian's Markdown format and uses a locally running AI model through Ollama to provide a chat interface and a quick note-refinement tool. The dashboard has several panels. A Map of Content registry shows an index of key subject directories such as operating systems, data structures, databases, and machine learning. Each subject gets its own page with notes listed alphabetically. A spaced repetition flashcard system automatically turns notes into study cards when it finds the special markers :: or ?? in the text, letting you flip between question and answer during a study session. A quick-capture buffer lets you type rough ideas and send them to the AI to be refined. A task panel syncs with a specific Markdown file in your notes folder to show your checklist items. The tech stack is a React front end built with Vite, an Express backend that reads your local files, and Ollama running on your machine as the AI engine. You can optionally point it at a Gemini API key if you want to use a cloud model instead. The README notes that scanning over 1,000 files completes in under 50ms thanks to a file-change caching system. The Windows setup uses a single batch script to start everything. On Mac or Linux you start Ollama and then the development server manually. The project is released under the MIT license.
A local-first web dashboard for students that organizes Obsidian Markdown notes, runs AI chat via Ollama, and generates spaced repetition flashcards automatically.
Mainly JavaScript. The stack also includes JavaScript, React, Node.js.
Use freely for any purpose, including commercial use, as long as you keep the copyright notice.
Setup difficulty is rated moderate, with roughly 30min to a first successful run.
Mainly general.
This repo across BitVibe Labs
Verify against the repo before relying on details.