Sakana AI 用编码智能体协作完成科研的 Agentic Scientist 论文
Sakana AI 发表了一篇关于用编码智能体协作开展科学研究的论文，提出 Agentic Scientist 多智能体框架和端到端分布式流程。系统把项目拆分为任务起草、构思、规划、沙盒实验、基线与消融、分析、报告撰写等阶段，每个阶段由能自检的编码智能体执行，元控制器并行调度并按评分标准检查各阶段。
Must-read paper from Sakana AI on orchestrating coding agents for scientific research.
(bookmark it)
This is an important read with lots of useful insights if you are building multi-agent systems.
I like this work because it presents a concrete multi-agent framework and an end-to-end distributed pipeline that lets human researchers conduct computational research alongside modern coding agents.
What they did:
A development version of their system helped write a paper that was accepted as a main-conference talk at ALIFE 2026, after human verification and edits.
How they did it:
The Agentic Scientist splits a project into stages. Task drafting, ideation, planning, sandboxed experiments, baselines and ablations, analysis, and report writing each run on a coding agent that checks its own work. A meta-controller runs many of these agents in parallel and checks every stage against a rubric.
The ablations show that reliable autonomy depends on that orchestration layer as well as on the base model.
arxiv.org/abs/2610.18933
Chat with Paper: academy.dair.ai/papers/the-a…
来源：omarsar0 · x.com