This is absolutely an essential GitHub open-source repository for student folks—it can handle the most tedious steps in writing papers, like literature searches and data analysis, all in one go, and it’s completely free!

What gives students the biggest headache is writing papers and doing research projects: hunting down references, running code—it can easily take two or three days, especially when some key data requires payment to access.

Recently, I discovered a free AI research project on GitHub called ScienceBuddy (@PhAILabs), designed specifically for students and researchers. All you need to do is upload your papers and related data files to the platform, clearly state your needs, and ScienceBuddy will call on an Agent to search professional databases for literature, gather data, and run analysis code. The entire analysis process is fully transparent and visible, making it easy for you to check anytime.

In the video, I picked a relatively complex medical research scenario for a simple test of the project, to see how well it handles multiple professional papers and synthesizes research evidence. After I uploaded the relevant papers, ScienceBuddy not only assessed whether the topic was feasible, but also organized the research methods, conclusions, and limitations into an evidence table, summarized research consensus and controversies, and finally generated a paper outline and abstract draft. The whole process ran incredibly fast, essentially quickly completing the preliminary preparation for a literature review.

On top of that, ScienceBuddy helped me dig deeper into additional literature searches and fully generated a roughly 3,000-word literature review paper. The results were clear, and the writing format was highly professional—I personally think it could be used directly in a formal paper. Overall, based on my experience, this tool is absolutely essential for students; it saves a ton of time.

Additionally, the team behind ScienceBuddy has open-sourced ScienceIDE, which is the underlying framework technology for ScienceBuddy. It now allows Agents to practice on real research code in 7 fields and verifies modifications based on whether results can be reproduced. If you’re interested, check it out!!!

The project’s ScienceBuddy-related experimental code is now open-sourced on GitHub—classmates who are interested can head to the official site for a free trial. But keep in mind it’s still a Preview version, so please verify analysis results yourself before using them in formal research.

Official site: http://science-buddy.io GitHub repository:

ScienceBuddy

Source: https://science-buddy.io/ 快捷任务

选一个起点，或直接在下方提问。助手会规划、检索文献并在本机执行分析代码。

PhAI Labs (@PhAILabs): Introducing ScienceBuddy — a free workspace for scientific agents that improve through researcher collaboration.

Use GPT-6 in ScienceBuddy at no cost. GPU-accelerated, and fused with the JEV framework.

🧵 Two loops: 🔹 Inner loop — refines the agent harness 🔹 Outer loop —