Overview
OpenScience is a localized AI research workbench for scientists and researchers. It targets time-consuming literature review, tedious experiment coding, and multidimensional science data that is hard to call across databases. [Product features] Natural-language-driven autonomous closed-loop research tasks: enter a research goal and the system auto-plans literature search, coding, data analysis, and experiment-report writing. Hundreds of domain-expert research skills: nearly three hundred research tools and interfaces across bioinformatics, drug discovery, quantum physics, machine learning, and more—no manual glue code. Direct links to global authoritative research databases: forty-plus professional DB interfaces spanning biomedicine, chemical molecules, and genomics so agents can query and call experimental data directly. Critical loops and scientific-conclusion logic review: auto correction and reflection during code runs and paper writing so every experimental claim is checkable.
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OpenScience 是一款面向科学家与研究人员打造的本地化 AI 科研工作台。 该产品专注于解决科研流程中文献调研耗时、实验代码编写繁琐以及多维科学数据难以跨库调用的实际痛点。【产品功能】 自然语言驱动的科研任务自主闭环运行： 用户只需输入研究目标，系统会自动规划文献检索、代码编写、数据分析及实验报告撰写全过程。 集成数百项领域专家科研技能库： 预置涵盖生物信息学、药物发现、量子物理及机器学习等学科的近三百种科研工具与接口，无需手动维护胶水代码。 直接对接全球权威科研记录数据库： 内置四十余个涵盖生物医学、化学分子及基因组学的专业数据库接口，支持智能体直接查询与调用实验数据。 批判性循环与科学结论逻辑审查系统： 在代码运行与论文撰写过程中，引入自动纠偏与反思机制，确保科研实验的每一步 claim 都有据可查。