做科研自动化的团队终于有了一个能覆盖全流程、带记忆还能自我进化的系统——AutoSci 把文献、实验、写作、审稿串起来了，搞学术自动化的开发者可以直接用它的开源代码试试。
AutoSci 是一个基于大语言模型的智能体系统，旨在自动化科学研究的完整生命周期，包括文献理解、想法生成、实验、论文撰写和审稿回复。它通过四个核心模块实现：SciMem 提供结构化研究记忆，区分长期知识记忆和项目级活动记忆；SciFlow 执行五阶段生命周期流程；SciDAG 用有向无环图增强复杂技能；SciEvolve 通过反馈信号持续优化系统。该系统解决了现有科研智能体无法统一支持全流程、缺乏持久记忆和自进化能力的问题。代码已开源，为科研自动化提供了可扩展的框架。
AutoSci: A Memory-Centric Agentic System for the Full Scientific Research Lifecycle
Scientific research has traditionally been human-intensive, requiring researchers to coordinate literature, ideas, experiments, manuscripts, and review responses across long project cycles. The rise of LLM-based scientific agents creates an opportunity to automate this process. Such a system must support the full research lifecycle, maintain structured persistent memory across projects, and improve its own research procedures over time. However, existing systems either partially satisfy or fail to satisfy these requirements, leaving a gap for a unified automated scientific research system. As a result, we present AutoSci, a memory-centric agentic system for the full scientific research lifecycle. AutoSci is organized around four modules. SciMem provides schema-governed research memory, separating Long-Term Knowledge Memory for reusable scientific knowledge from Active Research Memory for project-level artifacts such as ideas, experiments, manuscripts, and reviews. SciFlow executes a five-stage lifecycle from literature understanding to rebuttal through a harness that controls state, context, verification, feedback, and orchestration. SciDAG augments difficult skills with DAG-shaped multi-agent operators and reusable stage-specific templates. SciEvolve converts feedback signals from users, experiments, reviews, and external environments into versioned updates to SciMem organization, SciFlow skills, and SciDAG templates. Together, these modules make AutoSci a persistent research environment that can execute, remember, and evolve across research projects. The code repository is available at https://github.com/skyllwt/AutoSci.