AI product Open source
The Agentic Scientist is an open-source AI research pipeline from Sakana AI that uses coding agents to turn a task description into experiments, ablations, evaluations, analyses, and a paper. Its six main phases are task drafting, investigation, ablations, sealed final evaluation, post-hoc analysis, and paper generation. During investigation, agents propose ideas, implement and run experiments, evaluate results against a task rubric, and iterate; later phases compare baselines and ablated variants, rescore the winner in a sealed environment, analyze run artifacts, and write and compile the manuscript. Runs are stored in a structured results directory, can be resumed or inspected through a local web interface, and can drive several agent CLIs and models. The recommended setup runs agent phases in Docker; the repository warns that agents receive full tool permissions, can execute arbitrary commands, and inherit supplied API keys, so runs should be isolated and tasks and sources should be trusted.
1 use taken from transcripts — each links to the moment in the video.
Sakana AI's AI Scientist, version three, turns a short task description into experiments, ablations, and a written paper, all driven by coding agents. The agents propose ideas, run experiments in Docker containers, score results against the task's rubric and retry, then produce baselines, a sealed final evaluation, analysis, and the paper.
1 in the library.