构建你的个性化研究团队：一个用于持续交互式科学自动化的多智能体框架
Build Your Personalized Research Group: A Multiagent Framework for Continual and Interactive Science Automation
AI总结：
提出freephdlabor多智能体框架，通过动态工作流和模块化架构实现持续交互式科学自动化，支持上下文压缩、工作区通信和人工干预，促进端到端研究。
摘要：
科学发现的自动化代表了人工智能（AI）研究中的一个关键里程碑。然而，现有的用于科学的智能体系统存在两个根本性局限：僵化的、预编程的工作流程无法适应中间发现，以及不充分的上下文管理阻碍了长期研究。我们提出了 freephdlabor，一个开源的多智能体框架，其特点是完全动态的工作流程，由实时智能体推理决定，以及模块化架构，支持无缝定制——用户可以修改、添加或移除智能体以满足特定领域的需求。该框架提供了全面的基础设施，包括自动上下文压缩、基于工作区的通信以防止信息退化、跨会话的记忆持久性以及非阻塞式人工干预机制。这些特性共同将自动化研究从孤立的、单次运行的尝试转变为持续的研究项目，这些项目系统性地建立在先前探索的基础上并纳入人类反馈。通过提供构建可定制共同科学家系统的架构原则和实际实现，这项工作旨在促进自动化研究在科学领域的更广泛采用，使从业者能够部署交互式多智能体系统，自主进行端到端的研究——从构思到实验再到可发表的稿件。
英文摘要：
The automation of scientific discovery represents a critical milestone in Artificial Intelligence (AI) research. However, existing agentic systems for science suffer from two fundamental limitations: rigid, pre-programmed workflows that cannot adapt to intermediate findings, and inadequate context management that hinders long-horizon research. We present \texttt{freephdlabor}, an open-source multiagent framework featuring \textit{fully dynamic workflows} determined by real-time agent reasoning and a \coloremph{\textit{modular architecture}} enabling seamless customization -- users can modify, add, or remove agents to address domain-specific requirements. The framework provides comprehensive infrastructure including \textit{automatic context compaction}, \textit{workspace-based communication} to prevent information degradation, \textit{memory persistence} across sessions, and \textit{non-blocking human intervention} mechanisms. These features collectively transform automated research from isolated, single-run attempts into \textit{continual research programs} that build systematically on prior explorations and incorporate human feedback. By providing both the architectural principles and practical implementation for building customizable co-scientist systems, this work aims to facilitate broader adoption of automated research across scientific domains, enabling practitioners to deploy interactive multiagent systems that autonomously conduct end-to-end research -- from ideation through experimentation to publication-ready manuscripts.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
