李志宇

I recently had the opportunity to use SciMaster, and I am thoroughly impressed. As a general‑purpose scientific AI agent developed by Shanghai Jiao Tong University and its collaborators, SciMaster delivers expert‑level in‑depth research capabilities—generating comprehensive, reliable research reports with citations, utilizing web search and 170 million academic documents for support . Its ‘thought‑chain editor’ feature allows real-time user intervention to adjust logic and optimize the workflow—essentially partnering with the AI during research . What’s more, its seamless integration with scientific tools—from molecular dynamics simulations to lab equipment via Uni‑Lab’s MCP services—enables a truly closed‑loop wet‑dry experimental ecosystem, boosting R&D efficiency significantly . The open-source foundation is also a major plus. Built upon the Innovator model and connected with the DeepModeling community, SciMaster welcomes extensibility via sub‑agents like ChemMaster, fostering collaboration and innovation . In short, SciMaster is a powerful, flexible, and collaborative AI research assistant—a game-changer for researchers across disciplines. I highly recommend it and give it a well-deserved five stars!