About this project

Kigurumi is a self-described personal curation tool for anime, manga, games, and related media, positioned as an "encyclopedia of passions" rather than a standard database index. It emphasizes cataloging items by emotional resonance and creating personal connections between entries. Key features highlighted in the README include: a responsive interface across devices, an "emotional tagging" system for mood-based organization (e.g., "nostalgic vaporwave"), a multilingual metadata engine pulling synopses and trivia in languages like Japanese, English, Spanish, and Chinese, collaborative wishlist sharing with private links, a timeline mode showing how taste evolves, offline-first sync for editing without internet, and community curation support for verifying obscure entries. The underlying concept is described as "nodes and threads": each media entry is a node, and users can connect related entries with threads (e.g., "this opening theme reminds me of that show") to build a personal web of connections. The project claims to provide a standalone desktop application for Windows, macOS, and Linux, plus a lightweight web companion for quick lookups. Starter packs for major genres (shonen, slice-of-life, mecha) are included, along with export tools for JSON, CSV, and plain text backup, and a curated vocabulary list for emotional tags. System requirements are modest (dual-core CPU, 4GB RAM minimum). The project is released under the MIT License, and explicitly states it does not host or stream copyrighted content—only user-generated metadata and external links. It is not affiliated with media corporations. The README includes a download button linking to a GitHub Pages site, though the repository itself appears to focus on description and marketing rather than actual source code or installation instructions. Contact details are noted as conceptual placeholders.