SheeanBen

SheeanBen / Agentic-Researcher

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Agentic Researcher is a lightweight literature workflow designed for information systems researchers.

11
0
100% credibility
Found Mar 26, 2026 at 11 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A workflow tool that automates discovering, scoring, selecting, and summarizing academic papers into Chinese notes and reports for Information Systems researchers.

How It Works

1
🔍 Find your research helper

You discover Agentic Researcher, a friendly tool that streamlines finding and organizing academic papers for your studies.

2
🛠️ Set up your research folder

Download the folder to your computer, prepare your paper library from Zotero, and optionally connect a smart helper for deeper insights.

3
📝 Search for new papers

Type in your research topic keywords, and it automatically hunts for fresh papers from top journals in your field.

4
⭐ Review smart suggestions

Get a neat list of the best matches, each with a score, quick reasons why it fits, and tags to help you decide.

5
✅ Pick your favorites

Select the papers you want to read, and confirm them for your daily queue.

6
📚 Add your PDFs

Sync your chosen paper files from your library, and it extracts the full text to enrich your notes.

📊 Dive into organized notes

Open your notes app to find detailed Chinese summaries, critiques, and daily reports – your research feels effortless and insightful!

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AI-Generated Review

What is Agentic-Researcher?

Agentic-Researcher is a lightweight Python workflow that automates literature reviews for information systems researchers, chaining paper discovery from Crossref or fixtures, AI/heuristic scoring, manual confirmation, PDF extraction via Zotero, and generation of structured Chinese notes plus daily reports. It solves the drudgery of manual lit searches by prioritizing IS venues like ISR and MISQ, expanding queries for agentic AI researcher topics, and syncing seamlessly with Obsidian for notes and Zotero for PDFs. Users get a VSCode-friendly setup with pdftotext for full-text pulls and OpenAI integration for smart summaries.

Why is it gaining traction?

It stands out with agentic workflows designed for IS domains, auto-expanding queries to agentic AI researchers, quant researcher agentic AI, or business applications, while keeping everything offline-capable via heuristics. The hook is the one-command daily run that delivers scored candidates.md, Obsidian-ready notes, and reports without replacing your tools—pair it with GitHub agentic workflows or Copilot for tweaks. Low overhead and Chinese note generation make it a quick win over generic scrapers.

Who should use this?

Information systems PhDs or profs tracking agentic AI in enterprise systems, digital transformation, or decision support. Agentic company researchers needing daily IS lit briefs with business angles. Quant researcher agentic AI folks wanting Zotero-synced, critique-heavy notes for Obsidian vaults.

Verdict

Solid template for agentic researcher google-style automation at 1.0% credibility (11 stars signals early maturity), with strong README, GitHub Actions tests, and offline mode—fork and customize if you're in IS lit reviews. Skip if not venue-focused or Chinese notes aren't your jam.

(198 words)

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