We treat healthcare and scientific agents as a safety-sensitive domain: evidence, reproducibility, and workflow boundaries matter more than broad automation claims.
Continuity watch: Simulation frameworks, scientific illustration/editing skills, and evaluation pipelines are early indicators of real adoption.
This hub follows healthcare and scientific agent work cautiously, emphasizing domain constraints, reproducibility, simulation, review, and the difference between tooling signals and clinical claims.
Dataset context: State of Open Source AI 2026
supplies public repository statistics; this hub adds continuity for sparse but important domain signals.
Dataset highlights
Observed data signals
The dataset captures AI-adjacent scientific and model tooling, while weekly issues add the domain context needed to avoid over-reading sparse healthcare signals.
Healthcare-adjacent signals are tracked continuously; quiet weeks do not remove this hub.