Open-source Claude Science is here: zero dependencies, MIT license, built-in 30+ research Skills
OpenAI4S (Open AI for Scientist), an open-source, MIT-licensed research agent, has been released as a public replication of the closed-source Claude Science. Developed by the Peking University & Yuankong AI Agent Joint Laboratory, it adopts a "Code-as-Action" approach, where the AI directly generates and executes Python/R code within a persistent kernel, enabling complex, multi-step scientific workflows like data retrieval, analysis, visualization, and report generation.
The platform functions as a collaborative research workbench. It comes pre-built with over 30 scientific "Skills" for tasks such as protein structure analysis, molecular docking, and literature review—14 of which require GPU/professional compute. A key principle is its strict "no-fabrication policy": it uses real data from sources like UniProt and RCSB, performs actual computations (e.g., protein folding on GPU servers), and reports errors rather than generating simulated results.
OpenAI4S supports connecting to users' own computing environments (e.g., GPU clusters) to handle demanding tasks while maintaining workflow integration. The project is open-sourced to encourage community contribution, inviting researchers and developers to expand its Skills, core architecture, and applications across diverse scientific fields.
marsbitHá 27m
