ymx10086

ymx10086 / ResearchClaw

Public

ResearchClaw is a personal AI assistant built for research: fast to set up, easy to run locally or in the cloud, and ready to integrate with the chat apps you already use. With extensible skills, it helps you streamline literature review, note-taking, experiment tracking, and paper writing—end to end.

ymx10086.github.ioResearchClaw agent copaw openclaw tools
22
3
100% credibility
Found Mar 07, 2026 at 22 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

ResearchClaw is a local AI research assistant that helps academics search papers, read PDFs, manage references, analyze data, and automate workflows through a web console and chat interface.

How It Works

1
🔬 Discover ResearchClaw

You hear about this friendly AI helper that makes finding papers, summarizing research, and staying organized super easy for everyday researchers.

2
📦 Install quickly

Run a simple one-line command to add it to your computer, no complicated setup needed.

3
🛠️ Set up your space

Create your personal research folder and connect it to an AI thinking service you like.

4
🤖 Launch the dashboard

Open a web page in your browser to see your smart assistant ready to chat about science.

5
💬 Ask about papers

Chat naturally to search papers, get summaries, analyze data, or manage notes effortlessly.

6
⏰ Set smart reminders

Schedule daily paper updates or alerts so you never miss important research.

🚀 Research supercharged

Everything flows smoothly: organized notes, fresh insights, and automated help keep you ahead in your work.

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Star Growth

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AI-Generated Review

What is ResearchClaw?

ResearchClaw is a Python-based AI assistant built for academic workflows, helping researchers search papers on ArXiv and Semantic Scholar, summarize PDFs, track experiments, generate figures, and manage BibTeX references—all end to end. It runs fast locally via CLI or web console, deploys easily to the cloud with Docker, and integrates with chat apps you already use like Discord or DingTalk. Setup takes minutes: pip install, init, and launch.

Why is it gaining traction?

Its extensible skills stand out, letting you add custom tools for literature reviews or data analysis without coding, while persistent memory across sessions keeps context alive. Built-in crons deliver daily paper digests and reminders, and privacy-focused local storage appeals to sensitive research. Developers like the ReAct agent powering seamless tool calls for shell, browser, or LaTeX help.

Who should use this?

PhD students drowning in literature reviews need its paper search and summarization. ML researchers tracking experiments and visualizing results will appreciate the pandas/matplotlib integration. Academics writing papers want BibTeX management and citation graphs without switching apps.

Verdict

Try it if you're in research—solid alpha for niche needs, with intuitive CLI/web UI and strong extensibility. At 22 stars and 1.0% credibility, it's early; watch for stability as adoption grows.

(187 words)

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