Releases: PerminovEugene/messy-folder-reorganizer-ai
messy-folder-reorganizer-ai v0.2.1
Integrate RAG and machine learning to handle large datasets and enhance performance.
This release brings a major upgrade to the functionality, usability, and portability of messy-folder-reorganizer-ai. It introduces smarter organization logic, cross-platform builds, and an overall more flexible and reliable CLI experience.
Highlights:
Integrated RAG + ML logic
Smarter folders existing matching with retrieval-augmented generation technique.
Using agglomerative hierarchical clustering for unmatched files clustering.
LLM based folder names generation for unmatched file clusters.
Improved CLI messages
Clearer, more human-friendly feedback during scanning, embedding, and clustering stages.
Expanded configuration options
Fine-tune thresholds, source files and destination folders configuration, prompt configuration and more β directly from the command line or config file.
Multi-platform binary support
Precompiled binaries for:
- macOS (Apple Silicon + Intel)
- Linux (x86_64)
Better error handling
More descriptive errors, helpful exit codes, and recovery suggestions.
Updated launch flags
Cleaner CLI interface with more intuitive flags and environment variable support.
Improved README
New install instructions, platform-specific binaries, and detailed examples.
Download
See the Assets section below for platform-specific binaries.
Or use the README to download via curl.
v0.1.8
messy-folder-reorganizer-ai β First Public Release
This marks the initial public release of messy-folder-reorganizer-ai, a tool that leverages a local LLM (Language Learning Model) to help you better organize your folders.
Features
-
Local LLM Assistance
Request AI insights for reorganizing and classifying files. -
JSON Snapshot of Structures
Automatically saves both the initial folder structure and the new structure in JSON files. -
Automatic Config Folder
Creates a~/.messy-folder-reorganizer-ai
directory to store all app-related files and configurations. -
Flexible Configuration
Fine-tune the model, model options, prompts, paths, and other details as needed. -
Prebuilt Binary
Download a compiled release for easy setup (see Assets below). -
Detailed CLI Messages
Get verbose feedback and logging right in the terminal. -
Comprehensive README
Includes setup instructions, usage examples, and a TODO section for improvements. -
Console Confirmation
Prompts you to confirm before applying the new folder structure.
Known Issues
- Large File Sets
Currently handles folders with very large numbers of files less efficiently. See the TODO section in the README for more details on known limitations.
Thank you for trying out messy-folder-reorganizer-ai!
If you find any additional issues or have feature requests, please open an issue on our
GitHub repository.