slive777/OpenAver — Free open-source desktop app that scrapes JAV metadata and generates NFO + cover art for Jellyfin, E…

Description and use

Here's a brief summary and explanation of the project:

**Summary:** OpenAver is a free, open-source desktop app that simplifies the process of scraping JAV metadata and generating NFO files and cover art for media platforms like Jellyfin, Emby, and Kodi. It offers a user-friendly interface, built-in sources, and optional integrations with Metatube federation and a REST API for AI agents.

**Value Proposition:** OpenAver provides a valuable solution for developers and users who want to add AI capabilities to their media platforms without starting from scratch. It helps prototype AI features, build agent workflows, and evaluate model tooling, making it an attractive option for those looking to leverage AI in their projects.

**Practical Adoption Path:** The adoption path for OpenAver appears straightforward, with a simple one-click installation process on Windows and macOS. The app's user interface and REST API make it easy to integrate with existing systems, and the optional Metatube federation provides access to a wide range of metadata sources. Users can start using OpenAver immediately, with minimal setup required.

**Production Readiness:** OpenAver is considered highly production-ready, with recent activity, adoption, and ecosystem signals indicating a strong and active community. The project has a high score of 81

Problem

slive777/OpenAver helps add AI capability without starting from a blank model stack.

Outcome

High for an OSS candidate: recent activity, adoption, and ecosystem signals are strong enough for a serious pilot.

Workflow

• prototype AI features
• build RAG or agent workflows
• evaluate model tooling

Evidence

Free open-source desktop app that scrapes JAV metadata and generates NFO + cover art for Jellyfin, Emby & Kodi. No Docker, no CLI — one-click install on Windows & macOS. 8 built-in sources + optional Metatube federation (30+ providers), actress collections, cross-language tag aliases, and a REST API for AI agents.

Source