Science Skills
https://github.com/google-deepmind/science-skills
Hugging Science
https://huggingscience.co
Claw4Science - The OpenClaw Ecosystem for Scientific Research
https://claw4science.org/
LabClaw – Operating Layer for LabOS
https://github.com/wu-yc/LabClaw
Trilinos: Enabling Scientific Computing Across Diverse Hardware Architectures at Scale
https://dl.acm.org/doi/10.1145/3802822
Claude Code for Scientists
https://www.neuroai.science/p/claude-code-for-scientists
Evaluating Large Language Models in Scientific Discovery
https://arxiv.org/abs/2512.15567
Towards a Certificate of Trust: Task-Aware OOD Detection for Scientific AI
https://github.com/camlab-ethz/OOD_Detection_ScientificML
AgenticSciML: Collaborative Multi-Agent Systems for Emergent Discovery in Scientific Machine Learning
https://arxiv.org/abs/2511.07262
Practical software engineering for software-writing scientists Available to Purchase
https://pubs.aip.org/aip/jcp/article-abstract/163/17/171502/3370674/Practical-software-engineering-for-software
Modular Multi-Agent System for Scientific Research Assistance
https://github.com/AstroPilot-AI/Denario
How AI agents will change research: a scientist’s guide
https://www.nature.com/articles/d41586-025-03246-7
TusoAI: Agentic Optimization for Scientific Methods
https://arxiv.org/abs/2509.23986
Towards agentic science for advancing scientific discovery
https://www.nature.com/articles/s42256-025-01110-x
Beyond backpropagation: JAX's symbolic power unlocks new frontiers in scientific computing
https://developers.googleblog.com/en/jax-symbolic-power-unlocks-new-frontiers-in-scientific-computing
ToolUniverse:Build an AI Scientist
https://aiscientist.tools/
Discovering equations from data: symbolic regression in dynamical systems
https://arxiv.org/abs/2508.20257
Artificial Intelligence Research for Science
https://github.com/divelab/AIRS
How AI agents will change research: a scientist’s guide
https://www.nature.com/articles/d41586-025-03246-7