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A self-hostable bookmark-everything app (links, notes and images) with AI-based automatic tagging and full text search

A tagging plugin for Rails applications that allows for custom tagging along dynamic contexts.

Simple tagging for django

Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.

A good, simple, solid tagging extension for ActiveRecord.

CLI and local web plain text note‑taking, bookmarking, and archiving with linking, tagging, filtering, search, Git versioning & syncing, Pandoc conversion, + more, in a single portable script.

:book: A Golang library for text processing, including tokenization, part-of-speech tagging, and named-entity extraction.

👁 👂 Smart media tagging for Nextcloud: recognizes faces, objects, landscapes, music genres

Music file tagging app for Mac, Linux and Windows

fast automated music tagging and organisation based on MusicBrainz

A League of Legends match history and performance analysis assistant built with Tauri 2 and Rust. Its innovative tagging system lets users instantly identify and analyze underperforming teammates, hard carries, and “passenger” players.

A dashboard for organizing and consuming RSS feeds, YouTube channels, and podcasts with smart tagging, media playback, and seamless content flow.

Professional prompt management system for ComfyUI with advanced search, tagging, star ratings, and integrated image galleries. Features modern UI with light/dark modes, bulk operations, and dashboard analytics. Transform your prompt collection into an organized, searchable library.

Terminal music player with Soulseek integration, MusicBrainz tagging, Last.fm scrobbling, and radio mode. Built with Go and Bubble Tea.

Context intelligence layer for LLM agents: persistent memory with write-time dedup, sensitivity tagging, conflict detection, and hierarchical decay. ~12ms. No LLM calls. MIT.

Next-generation fork of Paperless-AI for Paperless-ngx: reliable AI tagging plus an OCR rescue queue (Mistral or local vision models, multi-page PDFs), failed/ignored document queues, one-click rescan history, MFA, guided setup, and richer custom fields.