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Tech riderRev. 20 Sept 2026

MediaSage

Ch 077.1of 23AI Music Playlist Generators
  1. 1Runs onAPI, Linux, Mac, self-hosted, Web, Windows
  2. 2Natural-language promptsYes
  3. 3Prompt inputsmood, era, instrumentation, genre, production style, seed track
  4. 4Streaming connectionsPlex
4 lines stated Written from the maker's own pages: github.com
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The MediaSage homepage

Overview

MediaSage is ranked #7 of 23 in AI music playlist generators on Specifiction. It runs on API, Linux, macOS, Self-hosted, Web, Windows.

Compared on AI music playlist generators

Natural-language prompts
Yesgithub.com
Prompt inputs
mood, era, instrumentation, genre, production style, seed trackgithub.com
Streaming connections
Plexgithub.com

Facts

Purpose
MediaSage is a self-hosted web app that generates Plex playlists and album recommendations using music in the user's library.github.com · 4 Oct 2026
Library-aware playlists
It creates playlists from natural-language prompts or from a selected song, and says its recommendations come from tracks in the Plex library.github.com · 4 Oct 2026
Album recommendations
It offers recommendations in library mode for albums the user owns and discovery mode for albums they do not own.github.com · 4 Oct 2026
Filtering
Users can filter by library genres, decades, minimum rating, and whether to exclude live recordings.github.com · 4 Oct 2026
Plex playback
Users can send tracks to active Plex clients, create or update playlists, and preview tracks before saving.github.com · 4 Oct 2026
AI integrations
It supports Google Gemini, Anthropic Claude, OpenAI GPT, Ollama, and custom OpenAI-compatible APIs.github.com · 4 Oct 2026
Local data
It syncs the Plex music library to a local SQLite database for filtering and track selection.github.com · 4 Oct 2026
Requirements
Setup requires Docker or Python 3.11+, a Plex server with music, a Plex token, and an AI provider API key or local model.github.com · 4 Oct 2026
Provider limits
The README lists approximate maximum track counts of 18,000 for Gemini, 3,500 for Claude, and 2,300 for OpenAI, and says local model support is experimental.github.com · 4 Oct 2026
Cost disclosure
The app displays estimated provider cost before generation; the README lists a free Gemini API tier and describes Ollama as free.github.com · 4 Oct 2026
Supported environments
The README describes running it on Linux, macOS, or Windows, and gives NAS installation instructions for Synology, Unraid, and TrueNAS SCALE.github.com · 4 Oct 2026
License
The repository identifies the project as MIT licensed.github.com · 4 Oct 2026
Plex integration
MediaSage syncs a Plex music library and can create, replace, or append playlists and send tracks to active Plex devices.github.com · 9 Oct 2026
Local processing
A local SQLite cache supports library filtering and counting, and local language models are available for privacy and zero API costs.github.com · 9 Oct 2026
Security and privacy
The maker describes local-model support as experimental and says it enables privacy and zero API costs; no security certification is stated on the page.github.com · 9 Oct 2026
Usage costs
The app page lists estimated typical AI costs by provider and says Google Gemini has a free API tier for personal use.github.com · 9 Oct 2026
Limits
The page lists approximate provider track capacities of 18,000 for Gemini, 3,500 for Claude, and 2,300 for OpenAI.github.com · 9 Oct 2026
Deployment
The maker documents Docker installation and direct Python installation on Linux, macOS, and Windows, including NAS examples.github.com · 9 Oct 2026
Maker
The repository owner is identified on GitHub as Eric Wilson; no headquarters or founding date is stated on the maker pages opened.github.com · 9 Oct 2026

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Where it ranks on Specifiction

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