构建您的个性化研究团队：一个面向持续交互式科学自动化的多智能体框架

摘要

科学发现的自动化标志着人工智能（AI）研究领域的一个重要里程碑。然而，现有的科研代理系统存在两个根本性局限：一是僵化的预设工作流程无法根据中间发现灵活调整；二是上下文管理不足，阻碍了长期研究目标的实现。为此，我们推出了freephdlabor，一个开源的多代理框架，其特色在于完全动态的工作流程，由代理实时推理决定，并采用模块化架构，支持无缝定制——用户可根据领域特定需求修改、添加或移除代理。该框架提供全面的基础设施，包括自动上下文压缩、基于工作区的通信以防止信息衰减、跨会话的记忆持久化，以及非阻塞式的人工干预机制。这些特性共同将自动化研究从孤立的单次尝试转变为持续的研究项目，系统性地建立在先前探索之上，并融入人类反馈。通过提供构建可定制共研系统的架构原则与实用实现，本工作旨在促进自动化研究在科学各领域的广泛应用，使实践者能够部署交互式多代理系统，自主开展从构思、实验到成稿的全流程研究。

English

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 freephdlabor, an open-source multiagent framework featuring fully dynamic workflows determined by real-time agent reasoning and a \textit{modular architecture} enabling seamless customization -- users can modify, add, or remove agents to address domain-specific requirements. The framework provides comprehensive infrastructure including automatic context compaction, workspace-based communication to prevent information degradation, memory persistence across sessions, and non-blocking human intervention mechanisms. These features collectively transform automated research from isolated, single-run attempts into 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.

构建您的个性化研究团队：一个面向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

摘要

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