mlsanityData to 14 Oct 2026

ToolUniverse: An open platform for democratizing AI scientists

arXiv 2509.23426 ↗First posted 27 Sep 2025cs.AI cs.LGcited by 24

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Abstract (arXiv)

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.

Key facts. Cited by 24 papers in the map (data through 14 Oct 2026). Builds on 4 of its 22 references that are in the map. First posted on arXiv 27 Sep 2025.

Builds on

4 of 22 references.

References · 4

  1. 2024LAB-Bench: Measuring Capabilities of Language Models for Biology Researchcited by 156
  2. 2024Empowering Biomedical Discovery with AI Agentscited by 118
  3. 2025TxAgent: An AI Agent for Therapeutic Reasoning Across a Universe of Toolscited by 59
  4. 2024Risks of AI Scientists: Prioritizing Safeguarding Over Autonomycited by 49

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 9; 2026: 15.

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  1. 2026Externalization in LLM Agents: A Unified Review of Memory, Skills, Protocols and Harness Engineeringcited by 74
  2. 2026SKILLFOUNDRY: Building Self-Evolving Agent Skill Libraries from Heterogeneous Scientific Resourcescited by 41
  3. 2025CASCADE: Cumulative Agentic Skill Creation through Autonomous Development and Evolutioncited by 34
  4. 2025Adaptation of Agentic AI: A Survey of Post-Training, Memory, and Skillscited by 22
  5. 2025Accelerating Scientific Discovery with Autonomous Goal-evolving Agentscited by 19
  6. 2025PaperArena: An Evaluation Benchmark for Tool-Augmented Agentic Reasoning on Scientific Literaturecited by 15
  7. 2026Benchmarking AI Agents for Addressing Scientific Challenges Across Scalescited by 12
  8. 2025Autonomous Agents for Scientific Discovery: Orchestrating Scientists, Language, Code, and Physicscited by 11
  9. 2026AI for Auto-Research: Roadmap & User Guidecited by 11
  10. 2025Build Your Personalized Research Group: A Multiagent Framework for Continual and Interactive Science Automationcited by 9
  11. 2026Search-Time Contamination in Deep Research Agents: Measuring Performance Inflation in Public Benchmark Evaluationcited by 9
  12. 2026Towards a Medical AI Scientistcited by 7
12 more
  1. 2026Harnessing AtomisticSkills for Agentic Atomistic Researchcited by 6
  2. 2026SP-Mind: An Autonomous Reasoning Agent for Spatial Proteomics Analysiscited by 4
  3. 2025MolAct: An Agentic RL Framework for Molecular Editing and Property Optimizationcited by 2
  4. 2026Large Language Models Lack Temporal Awareness of Medical Knowledgecited by 2
  5. 2025Structural Enforcement of Statistical Rigor in AI-Driven Discovery: A Functional Architecturecited by 1
  6. 2026Embodied Science: Closing the Discovery Loop with Agentic Embodied AIcited by 1
  7. 2025CureAgent: A Training-Free Executor-Analyst Framework for Clinical Reasoningcited by 0
  8. 2026Vibe Medicine: Redefining Biomedical Research Through Human-AI Co-Workcited by 0
  9. 2026TSAssistant: A Human-in-the-Loop Agentic Framework for Automated Target Safety Assessmentcited by 0
  10. 2026AgentEconomist: An End-to-end Agentic System Translating Economic Intuitions into Executable Computational Experimentscited by 0
  11. 2026An explainable hypothesis-driven approach to Drug-Induced Liver Injury with HADEScited by 0
  12. 2026Ream: Unfolding Mutual Awareness in Human-Agent Workspacescited by 0

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  1. 2026FARS: A Fully Automated Research System Deployed at Scale
  2. 2025AISSISTANT: Human-AI Collaborative Review and Perspective Research Workflows in Data Science
  3. 2024The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery
  4. 2025SciSciGPT: Advancing Human-AI Collaboration in the Science of Science
  5. 2025aiXiv: A Next-Generation Open Access Ecosystem for Scientific Discovery Generated by AI Scientists
  6. 2026ForkSCOPE: Charting the Agentic Garden of Forking Paths
  7. 2026SciForge: An AI-Native, Multimodal Workbench for Scientific Discovery
  8. 2026Harnessing the Collective Intelligence of AI Agents in the Wild for New Discoveries