Tool: PantheonOS: An Evolvable Multi-Agent Framework for Automatic Genomics Discovery
We are thrilled to share our preprint on PantheonOS, the first evolvable, privacy-preserving multi-agent operating system for automatic genomics discovery.
- Preprint: https://www.biorxiv.org/content/10.64898/2026.02.26.707870v1
- Website(online platform free to everyone): https://pantheonos.stanford.edu
PantheonOS unites LLM-powered agents, reinforcement learning, and agentic code evolution to push beyond routine analysis — evolving state-of-the-art algorithms to super-human performance.
- Evolved batch correction (Harmony, Scanorama, BBKNN) and Reinforcement learning or RL agumented algorithms
- RL–augmented gene panel design
- Intelligent routing across 22+ virtual cell foundation models
- Autonomous discovery from newly generated 3D early mouse embryo data
- Integrated human fetal heart multi-omics with 3D whole-heart spatial data
Pantheon is highly extensible, although it is currently showcased with applications in genomics, the architecture is very general. The code has now been open-sourced, and we hope to build a new-generation AI data science ecosystem. https://github.com/aristoteleo/PantheonOS
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