by zjlrock777 · Agent Tool · ★ 73
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Awesome LLM Agents for Scientific Discovery A curated list of papers about AI agents for scientific discovery and research automation. Maintained by Jieli Zhou If you use this paper list for your research, please cite it using: Introduction The convergence of large language models (LLMs) and autonomous agents has ushered in a new era in scientific discovery, fundamentally transforming how research is conducted across disciplines. This emerging paradigm, articulated in Kitano's seminal "Nobel Turing Challenge" (2021), envisions AI systems capable of making scientific discoveries worthy of Nobel Prize recognition. Recent advances in LLM-based agents have brought us closer to this vision, enabling increasingly sophisticated automation of scientific workflows and decision-making processes. Evolution and Current Landscape The field has evolved rapidly since early visions of AI-driven scientific discovery. While traditional AI systems focused on narrow tasks, modern LLM-based agents d
| Stars | 73 |
| Forks | 4 |
| Category | Agent Tool |
| Quality Score | 53.4419928219985/100 |
| Open Issues | 1 |
| Last Updated | 2025-09-28 |
| Created | 2024-11-01 |
| Est. Tokens | ~37k |
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Awesome-LLM-Agents-Scientific-Discovery is A curated list of LLM powered AI Agents in Biomedical Research. Medical Image Analysis, Multi-omics Genomics Analysis, Biomedical Scientific Discoveries.... It is categorized as a Agent Tool with 73 GitHub stars.
You can find installation instructions and usage details in the Awesome-LLM-Agents-Scientific-Discovery GitHub repository at github.com/zjlrock777/Awesome-LLM-Agents-Scientific-Discovery. The project has 73 stars and 4 forks, indicating an active community.