SOURCE-LINKED INTELLIGENCE
OpenAI4S: Code as Action, Science as Sessions
AI co-scientists could accelerate computational research, but over a long-running study the workflow also has to stay inspectable, resumable and reproducible, which requires persistent computational state and provenance. Here we present OpenAI4S, an open-source scientific research agent built around the principle of \emph{Code as Action, Science as Sessions}. OpenAI4S combines a persistent computing runtime with research-session management: orchestration is handled through structured tool calls, while scientific actions are represented as complete code cells executed in persistent Python and R
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-14T06:16:59.000Z
First collected: 2026-09-20T11:41:07.830Z. This is not the publication date.