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SuggestArr download for Windows

Free download SuggestArr Windows app to run online win Wine in Ubuntu online, Fedora online or Debian online

This is the Windows app named SuggestArr whose latest release can be downloaded as v2.7.1sourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.

Download and run online this app named SuggestArr with OnWorks for free.

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- 6. Download the application and install it.

- 7. Download Wine from your Linux distributions software repositories. Once installed, you can then double-click the app to run them with Wine. You can also try PlayOnLinux, a fancy interface over Wine that will help you install popular Windows programs and games.

Wine is a way to run Windows software on Linux, but with no Windows required. Wine is an open-source Windows compatibility layer that can run Windows programs directly on any Linux desktop. Essentially, Wine is trying to re-implement enough of Windows from scratch so that it can run all those Windows applications without actually needing Windows.

SCREENSHOTS

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SuggestArr


DESCRIPTION

SuggestArr is an open-source automation platform designed to recommend and automatically request movies, TV shows, and anime based on a user’s viewing history in self-hosted media servers. The project integrates with popular media management systems such as Jellyfin, Plex, and Emby, allowing it to analyze recently watched content and identify similar titles using metadata from the TMDb database. Once potential recommendations are identified, SuggestArr can automatically send download or request instructions to services like Jellyseer or Overseerr, which then coordinate with media download tools and libraries. The application includes a web interface that allows users to configure integrations, schedule automated recommendation jobs, and monitor system logs in real time. More recent versions also introduce optional large language model integration, enabling AI-driven personalized recommendations and natural language search for discovering content.



Features

  • Multi-media server integration supporting Jellyfin, Plex, and Emby for retrieving watch history
  • TMDb API integration for discovering movies and TV shows similar to previously watched content
  • Automated media request system that sends recommendations directly to Jellyseer or Overseerr
  • Optional AI-powered recommendation engine using OpenAI-compatible large language model providers
  • Natural language AI search that finds content based on descriptive prompts and viewing history
  • Web-based interface with real-time logs, configuration management, and cron job scheduling


Programming Language

Python


Categories

Large Language Models (LLM)

This is an application that can also be fetched from https://sourceforge.net/projects/suggestarr.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.


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