Synthetic Sciences Releases OpenScience: Open-Source, Model-Agnostic AI Workbench for Scientific Research

Synthetic Sciences has open-sourced OpenScience, a model-agnostic AI workbench targeting machine learning, biology, physics, and chemistry research workflows. Being model-agnostic is a key design choice — it means developers and researchers can plug in whatever frontier or open model is best suited to a given scientific task rather than being locked to a single provider. The workbench appears to provide structured environments for running AI-assisted experiments, managing hypotheses, and integrating domain-specific tools across scientific disciplines. For AI engineers building research assistants or agentic science tools, this is a potentially valuable scaffolding layer rather than starting from scratch. The open-source release also makes it a candidate for community extension into additional scientific domains.