📄 中文摘要
自动研究者中心是一个旨在解决高效研究中“空白页”问题的工作空间架构。作为一名人工智能和区块链开发者，面对大量技术论文和分散的文档，常常感到不知所措。该系统不仅仅是讨论研究，而是通过一个基于Python的编排层，自动构建一个结构化的研究数据库，包含自定义属性（摘要、网址、状态），并填充关于多智能体系统和零知识证明的经过验证的数据点。该工具为研究提供了一个物理环境，极大地提高了研究效率。
自动研究者中心：连接人工智能知识与工作空间自动化
出处: Auto-Researcher Hub: Bridging AI Knowledge and Workspace Automation
发布: 2026年3月28日
📄 English Summary
Auto-Researcher Hub: Bridging AI Knowledge and Workspace Automation
The Auto-Researcher Hub is an agentic workspace architect designed to address the 'blank page' problem in high-velocity research. As an AI and Blockchain developer, the overwhelming amount of technical papers and scattered documentation can be daunting. This system goes beyond merely discussing research; it physically constructs an environment for it. Utilizing a Python-based orchestration layer, the tool automatically builds a structured Research Database in Notion, complete with custom properties (Summary, URL, Status), and populates it with verified data points on Multi-Agent Systems and ZK-Proofs. This tool significantly enhances research efficiency by providing a tangible workspace.