Mr-Tieguigui

Mr-Tieguigui / Vibe-Scholar

Public

Local-first platform for managing research projects, vibe coding and vibe research.

mr-tieguigui.github.ioVibeScholar
18
1
100% credibility
Found Mar 15, 2026 at 18 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

VibeScholar is a free local web tool that helps researchers manage multiple projects by structuring workflows from ideas to reports using AI-filled templates and progress tracking without needing accounts or payments.

How It Works

1
🖥️ Discover VibeScholar

Find this free tool for organizing your research projects and get it running on your computer to see the welcoming dashboard.

2
📁 Start your first project

Create a new research idea by giving it a name, short description, and category so it appears in your project list.

3
✨ Fill the smart template with AI

Copy the ready-made prompt, paste it into ChatGPT or any AI chat, describe your project idea, and get back a filled plan in seconds.

4
⬆️ Upload and generate everything

Drop the AI-filled file into the project and watch it automatically create your overview, steps, timeline, and checklists.

5
📚 Add papers and track your work

Import research papers from a simple list and mark off coding or reading tasks as you make progress each day.

🎉 See your full research dashboard

Enjoy a beautiful overview of all projects with progress bars, timelines, automatic reports, and everything staying organized effortlessly.

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Star Growth

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AI-Generated Review

What is Vibe-Scholar?

Vibe-Scholar is a local-first GitHub platform built in TypeScript with React and Python FastAPI for managing research projects through vibe coding and vibe research workflows. It structures the full research lifecycle—ideas, literature reviews, design, coding, analysis, reports—into traceable steps, tracking progress across 62+ demo projects in 16 AI/ML domains. Users get a dashboard for multi-project overviews, CSV literature imports from Zotero or Undermind, LLM template filling for auto-generated steps/timelines, and daily/weekly reports, all running offline with no APIs required.

Why is it gaining traction?

Its zero-API monitor mode keeps things cost-efficient and human-in-the-loop, while optional AI boosts literature triage or step generation. Ships with realistic demo projects covering NLP to robotics, plus quickstart templates you paste into any LLM like Claude. Local-first file storage (YAML/JSON/MD) means full control, no vendor lock-in—perfect for vibe coding scholars blending intuitive prototyping with structured scholarly vibe research.

Who should use this?

AI/ML researchers juggling 10+ projects, PhD students handling vibe coding (iterative prototypes) and vibe research (exploratory reviews), or indie devs managing local-first research pipelines. Ideal for those importing Zotero CSVs, tracking milestones via Kanban, or generating reports without cloud dependencies.

Verdict

Promising local-first tool for research project management, with excellent docs, demos, and quick setup via npm/pip. But 18 stars and 1.0% credibility signal early maturity—try the getting-started project first to gauge fit before scaling.

(198 words)

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