Continuous evolution, just for a smarter experience
Learn about every advancement of Yinghe Smart Folder and witness how AI changes the way you manage files.
Yinghe Smart Folder v2.5.0 version update
Optimize the AI engine installation logic and significantly reduce the probability of engine deployment failure
Added AI engine CPU operating mode switch to make hardware adaptation more flexible
Newly added lightweight high-speed model Gemma-4-E2B-it-qat-MTP
Unified adaptation to PDF, Office documents, and compressed packages to complete integrated extraction of multi-format file content and metadata
Office document parsing content is uniformly output in Markdown standard format
Added minimum unit function switch, turned off by default
The stable version installation package is offline and the entire domain is upgraded to the all-in-one version.
Fixed multiple known program issues and comprehensively improved software operation stability
Yinghe Smart Folder v2.4.0 version update
Simplified setup process with automatic GPU driver matching for out-of-box deployment
Display activated model details for clearer configuration management
Navigate and select files via arrow keys in the item list for improved efficiency
Optimized interface layout for search, batch analysis and other core modules
Added breadcrumb path navigation for quick directory switching
Restyled into tabbed layout for organized and intuitive data viewing
Improved AI reasoning logic to deliver focused, non-divergent analysis results
Resolved multiple known glitches for enhanced program stability
Yinghe Smart Folder v2.3.0 version update
Added Ali Moda community source to completely solve the problem of some users being unable to download models.
Add many service providers at home and abroad, and provide Qingxi’s free instructions and usage information
Graphics card driver needs to be upgraded detection
Solve the bug that the cloud mode setting page cannot be switched
Upgrade the application base to the latest
Yinghe Smart Folder v2.2.0 version update
Enhance stability and improve running speed
A new "stable version" of the built-in engine is available for download
Yinghe Smart Folder v2.1.0 version update
Natively adapted to NVIDIA graphics cards, fully compatible with all AMD, Intel, and Apple series core graphics and independent graphics
Keep the local built-in engine, add Ollama cloud access, and deploy various local large models at will
Qwen3.6 MTP model is now available for high-performance graphics card users to try out
Online right-click shortcut menu, one-click direct access to the real storage directory of files
Optimize multi-selection operation, support mouse frame selection and Shift/Ctrl quick batch selection
A new waterfall flow browsing view has been added, and the look and feel of image and text previews has been greatly upgraded.
Yinghe Smart Folder v2.0.0 major upgrade - built-in high-performance AI engine
Built-in AI engine and model, no additional configuration required, ready to use out of the box
Optimize local reasoning logic and increase local AI response speed by 30%-100%
Compatible with core graphics, integrated graphics and devices without independent graphics, all models support local AI functions
Upgraded tag tree system, multi-select tags can filter and display corresponding files in real time
Optimize massive file scenarios and greatly improve virtual directory loading speed
Reconstruct the UI layout, refine and optimize interaction details, and make operations smoother
Added shortcut operations such as the backspace key and Alt+direction keys to improve operating efficiency
Launched enterprise authorization service, supporting one-click deployment and offline localization use
Yinghe Smart Folder v1.3.0 version update
Optimize the opening and loading speed in the scenario of massive analyzed files
Fixed the abnormal problem of failure to download the model on the settings page
When the test connection fails, the detailed failure reason is displayed.
Streamlined file thumbnail card style, more concise visual appearance
Fixed an issue where some list columns were not adapted to dark mode
Fix tag counting errors, search failures, missing tag generation, etc.
A new Zhihu circle entrance has been added in the lower right corner to facilitate feedback and communication.
Supplement and improve novice guidance and operation tips
Yinghe Smart Folder v1.2.0 version update
Add Alibaba Magic Community sources to solve the problem of slow model downloads
Automatically switch domestic and foreign lines to solve the problem of installation failure
Support CPU mode to use minimal lightweight model
Yinghe Smart Folder v1.1.0 version update
Data security protection upgrade
Added Gemma4 model to support recognition and analysis of spoken language recording content
Open for use, basic quota is free; invite friends to unlock unlimited quota
The new invitation code mode makes unlocking rights more ceremonial.
Massive files support fast positioning of keywords with more than three words
Open a super large directory in seconds and say goodbye to lags
The theme color scheme reduces saturation and the interface is fresher and eye-friendly.
Fixed an issue where directory monitoring could not automatically analyze newly added files
Fix the problem of custom filtering rules not taking effect
Fix theme label parent classification error
Supports dynamic adjustment of analysis content length based on the model, and cloud models have longer prompt words
Supports quick sorting of selected files and export of virtual directories
Yinghe Smart Folder v1.0.0 opens a new era of smart file management
Supports AI intelligent analysis and understanding of multimedia types such as text and images
Based on file link technology, personalized directory organization can be achieved without taking up additional space
AI-driven intelligent classification and renaming greatly improves file management efficiency
Provides rich directory tree labels and flexible dimension management system
The core supports offline operation of local large models to ensure that data does not leave your device
AI-driven document quality assessment to help quickly identify high-quality content
Perfectly compatible with Windows, macOS and Linux operating systems
Supports rapid positioning of files by content summary, tags, quality and other multi-dimensional dimensions