xuezheng627

Daily AI literature digest and visual Paper Vault for researchers. Monitors new papers by custom keywords, emails summaries via Gmail, and organizes full-text-read High/Medium papers into a categorized local web vault.

19
3
80% credibility
Found May 29, 2026 at 19 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A research tool that automatically searches academic databases for papers matching your interests, sends you a daily email digest, and helps you build a personal visual library of papers you've read in full text.

How It Works

1
🔍 Discovering the research tool

A researcher discovers a tool that automatically finds relevant papers and organizes them into a personal library.

2
📦 Installing the research skills

The researcher copies two skill folders into their AI assistant so it can help manage their papers.

3
⚙️ Setting up personal preferences

The researcher tells the AI assistant their email, research topics, preferred language, and timezone.

4
📬 Receiving daily research updates

Each morning, a beautifully formatted email arrives with the latest papers ranked by how relevant they are to the researcher's work.

5
Choosing papers to keep
Papers with open access

The AI assistant saves the paper to the main library with notes and tags.

🔐
Papers needing login

The AI assistant asks if the researcher wants to log in now to unlock the paper.

6
🏠 Exploring the paper library

The researcher opens their personal website to browse their organized collection, filter by topic, and see their notes.

🎉 Building a personal research vault

The researcher now has a growing collection of carefully read papers, organized by topic and always accessible.

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Star Growth

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AI-Generated Review

What is research-radar-paper-vault?

This is a two-part research workflow tool for academics and practitioners tracking AI literature. The daily digest skill pulls new papers from Crossref, OpenAlex, and arXiv based on your custom keywords, scores them by relevance, and emails you a summary via Gmail every morning. The companion paper vault then lets you save High or Medium priority papers into a local web interface after you've read the full text. The vault auto-classifies papers into up to five broad categories, tracks impact factors, and maintains a queue for papers still lacking full-text access. Built in Python with a static frontend, it runs locally on any machine with a simple HTTP server.

Why is it gaining traction?

The pull-based digest solves alert fatigue from passive keyword searches. Instead of checking feeds, researchers wake up to a curated list scored by relevance against their actual interests. The full-text rule enforces quality over quantity by preventing abstract-only hoarding. The vault itself is refreshingly simple, no database, no cloud, just a folder you own. Bilingual support out of the box makes it practical for Chinese-English research workflows. The arXiv PDF download option removes a manual step that most similar tools skip.

Who should use this?

PhD candidates and early-career researchers building domain expertise in AI applications, particularly in architecture, energy, or construction. Researchers with institutional access to paywalled papers who want to maintain a curated reading history rather than browser bookmarks. Anyone厌倦 scrolling through endless RSS feeds or generic Google Scholar alerts. Not suitable for teams needing shared collaboration or cloud sync.

Verdict

A clever personal research companion that rewards deliberate reading habits. The 0.80% credibility score reflects a small but active development trajectory with 19 stars and a well-documented README. Maturity is early-stage, so expect to tweak configurations for your specific keywords. If you want to stop drowning in papers and actually build a classified reading library, this is worth an afternoon to set up. Just know the daily digest requires Codex to run, and local automation means your computer must be awake at scheduled times.

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