打造开放平台,让任意模型都能协作做科研。
ToolUniverse: An open platform for democratizing AI scientists
- 用自然语言+结构化接口统一管理2700+科研工具
- 自动生成工具、优化调用流程,支持全流程科研任务
- 适合想快速构建智能科研助手的研究者
AI科学家是助力发现的新型计算系统,但因定制化强、流程僵化、缺乏共享生态而难构建。我们提出ToolUniverse,一个开源平台,可基于任意语言或推理模型(包括开闭源模型)构建AI科学家。该平台通过统一的AI-工具交互标准,使每个工具声明其自然语言目的、输入输出类型定义及后端无关调用格式,并已应用于超过2700个科学工具和130项研究技能,覆盖机器学习模型、数据集、API及数据分析、知识检索、实验设计等科学包。平台能自动修复工具接口错误,根据自然语言描述生成新工具,迭代优化工具规格,并组合成智能体工作流。案例显示,它成功构建了可完成靶点评估、化学策略设计和临床试验安全分析的端到端AI科学家。开源代码已发布于https://aiscientist.tools。
原文摘要 · Abstract (English)
AI scientists are emerging computational systems that serve as collaborative partners in discovery. These systems remain difficult to build because they are bespoke, tied to rigid workflows, and lack shared environments that unify tools, data, and analyses into a common ecosystem. We present ToolUniverse, an open platform for building AI scientists from any language or reasoning model across open- and closed-weight models. ToolUniverse standardizes how AI scientists identify and call tools through an AI-tool interaction standard, in which every tool declares its purpose in natural language, a typed schema for its inputs and outputs, and a backend-agnostic invocation format, and applies that standard to more than 2,700 scientific tools and over 130 research skills spanning machine learning models, datasets, APIs, and scientific packages for data analysis, knowledge retrieval, and experimental design. It automatically refines tool interfaces for correct use by AI scientists, generates new tools from natural language descriptions, iteratively optimizes tool specifications, and composes tools into agentic workflows. In case studies, ToolUniverse was used to create AI scientists that carried out end-to-end analyses in target assessment, chemical strategy, and clinical-trial safety. The open-source ToolUniverse is available at https://aiscientist.tools.
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