wentorai

wentorai / Research-Claw

Public

In the AI era, why can't everyone be a PI?

81
9
100% credibility
Found Mar 13, 2026 at 69 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

Research-Claw is a local AI research assistant that organizes papers, manages tasks, tracks academic sources, and automates workflows entirely on your machine.

How It Works

1
👀 Discover Research-Claw

You find a helpful AI sidekick that automates tedious research tasks like sorting papers and watching for new studies.

2
📥 Install in seconds

Copy and paste one easy command to set it up on your computer—no tech skills needed.

3
🔗 Link your AI helper

Follow a simple guide to connect a smart thinking service using your personal access details.

4
🖥️ Launch your dashboard

Open your browser to a friendly interface with chat, paper library, tasks, and more.

5
💬 Chat to get organized

Talk naturally to sort papers, create to-do lists, draft sections, and manage your workspace.

6
📡 Turn on smart alerts

Set up ongoing watches for new papers and updates, sent straight to your phone or chat app.

🚀 Research runs smoothly

Your assistant handles the grunt work around the clock, freeing you to focus on breakthroughs.

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AI-Generated Review

What is Research-Claw?

Research-Claw turns your local machine into a 24/7 AI research lab, handling everything from sorting Zotero libraries and scanning arXiv for claw machine research updates to drafting paper sections and automating weekly slides. Built in TypeScript with a React dashboard, it integrates 487 academic skills for literature searches, data analysis, and writing across disciplines, all via LLM APIs while keeping your data offline. Chat with structured cards for papers, tasks, and radar alerts pushed to Telegram or Feishu.

Why is it gaining traction?

Unlike generic chatbots, it offers a full academic dashboard with library search, task layers, git-tracked workspaces, and continuous radar for keywords like "prohibition era why did it happen" or "feral claws research"—no walls of text, just actionable cards. One-click install via curl or Docker, browser-based setup wizard, and bidirectional Zotero sync make it dead simple for deep workflows, standing out as a claws research assistant that reproduces experiments locally on your GPU.

Who should use this?

Grad students buried in "Unfiled" Zotero folders, solo researchers tracking arXiv while sleeping, or PIs delegating methodology drafts and citation graphs. Ideal for claws research internship projects needing IM alerts on dawn era GitHub repos or digging claws research without cloud leaks.

Verdict

Worth a spin for local AI research power users—solid docs, 318+ tests, and Docker ease despite 45 stars and 1.0% credibility signaling early days. Pair with Claude/OpenAI APIs; scale up as it matures.

(198 words)

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