This category is for discussion around the AI-based Note Categorisation plugin, being developed for Joplin as part of GSoC 2026.
The idea behind the plugin is simple. If you have ever imported notes from another app or built up a large collection over time, you have probably felt the pain of manually sorting through everything. This plugin fixes that by analysing your notes, grouping related ones together based on what they are actually about, suggesting tags for each group, and flagging notes that have not been touched in a long time as potential archive candidates. Everything runs locally. No note content leaves your device unless you explicitly configure an external LLM, and even then only the top cluster keywords are sent, not your actual notes.
It is different from Joplin's general plugin discussions because the focus here is purely on organisation, understanding the structure of your own note collection and giving you clear, low-friction options to act on it. Nothing is moved, tagged, or renamed without your confirmation.
Topics in this category can cover anything related to the plugin: feedback on clustering quality, tag suggestions that worked well or did not, edge cases from your own note collection, questions about how the system works, or ideas for future improvements. Feel free to jump in, whether you are following along out of curiosity or actively testing the plugin. All feedback is welcome and taken seriously.