In the current digital context, traditional centralized online databases face structural challenges in terms of data autonomy, continuous operation, and collaboration of massive amounts of data.This research aims to propose and construct a comprehensive solution centered on "data localization, " utilizing Obsidian note-taking software, open-source OCR technology, and a self-built private cloud synchronization mechanism to establish a personalized, highly portable, and collaborative historical data database.This solution solves the problem of the separation between historical materials and notes through Obsidian's pure Markdown architecture and plugin ecosystem, and integrates AI capabilities for historical data dialogue and analysis.Simultaneously, by building a high-performance private cloud, it overcomes the bandwidth limitations of traditional cloud storage, achieving data autonomy and efficient team collaboration.This solution provides individual researchers and small academic teams with a low-cost, sustainable, and highly secure digital humanities research workflow, contributing to the open and tiered development of academic accumulation.