Zaoqu-Liu

Your AI Research Lab That Never Sleeps. 9 agents, 263 skills, 77 databases — from literature to publication, every discipline, zero boundaries.

11
3
100% credibility
Found Mar 07, 2026 at 11 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
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AI Summary

ScienceClaw is an AI agent that automates scientific research by searching literature, querying databases, running analyses, generating figures, and writing cited reports based on user prompts.

How It Works

1
🔍 Discover ScienceClaw

You hear about ScienceClaw, an AI helper that acts like a smart research colleague for digging into science topics.

2
📥 Bring it to your computer

You download the simple files to your computer and get everything ready in a few moments.

3
🔗 Connect an AI brain

You link it to a thinking service so it can understand and work with science data.

4
🚀 Launch your research buddy

With one easy start, it opens a friendly chat window right on your screen, ready to go.

5
Pick your chat style
🖥️
Screen chat

Use the built-in text window for quick back-and-forth questions.

📱
Messaging app

Connect to apps like Telegram or Discord for chatting anywhere.

6
Ask a science question

You type in a topic like 'role of a gene in cancer' and watch it search, analyze, and create.

📊 Get your full report

You receive a professional report with findings, charts, and real references, saving hours of work.

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Star Growth

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AI-Generated Review

What is ScienceClaw?

ScienceClaw runs an AI-powered research lab in your terminal, handling literature searches across 15 sources like PubMed and arXiv, querying 77 databases from TCGA to UniProt, executing Python/R analyses, plotting publication-ready figures, and compiling cited reports—all from natural language prompts. Developers get a one-command CLI (`scienceclaw ask "Investigate THBS2 in tumors"`) that spits out full case studies with survival curves and trend viz, built on Node.js 22+ via Shell scripts and Docker for sandboxing. It's a github research ai tool that eliminates manual data hunting in github research repositories.

Why is it gaining traction?

It stands out with 9 agents and 263 skills covering bioinformatics to drug discovery, plus channel integrations for Telegram, Discord, or web dashboards—no servers to manage. Users notice the zero-config setup (clone, `setup.sh`, run) and real outputs like 570x LLM publication growth charts, outpacing basic research github copilot scripts. For github research tools and research lab notebooks, the hook is turning prompts into verifiable, multi-source reports without fabricating data.

Who should use this?

Biomedical researchers querying TCGA for gene expression or survival analysis in pancreatic cancer cohorts. Bioinformaticians needing quick PubMed surveys on LLMs in biomedicine or single-cell clustering pipelines. Teams building github research pages or paper templates who want automated literature reviews and figure generation for grants or publications.

Verdict

Try it for prototyping research lab workflows if you're in biomedicine—docs are solid with case studies, and CLI shines for one-shots. At 11 stars and 1.0% credibility, it's early-stage with unproven scale; test locally before production github research repos.

(198 words)

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