Ross ROSS = Recommend OSS · open-source software intelligence for agents

giuseppe99barchetta/SuggestArr

Effortlessly request recommended movies, TV shows and anime to Jellyseer/Overseer based on your recently watched content on Jellyfin, Plex or Emby—let SuggestArr handle it all automatically, keeping your library fresh with new and exciting content! observed · 2026-08-28

github.com/giuseppe99barchetta/SuggestArr · homepage · Python · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

89/100

  • Activity 99
  • Release rhythm 99
  • Longevity 49
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: 2.0
  • age_days: 688
  • days_rel: 9
  • days_push: 9
  • n_releases_24m: 39

Full methodology

Adoption not part of the score

1274 stars · 30 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

SuggestArr is a self-hosted web application that automatically recommends and requests movies, TV shows, and anime to Jellyseerr/Overseerr based on watch history from Jellyfin, Plex, or Emby. It uses the TMDb API for similar-title discovery and optionally OpenAI-compatible LLMs for personalized AI-powered recommendations and natural-language search.

Use cases

  • automatically request recommended movies and shows to Jellyseerr based on what I watched on Jellyfin
  • generate personalized media recommendations from my Plex watch history
  • use an LLM to suggest what to watch next based on viewing history
  • keep my media server library fresh with automated download requests
  • search for what to watch in natural language and request it to Overseerr
  • use Trakt watch history as seeds for media recommendations

When to choose

  • you run a self-hosted Jellyfin, Plex, or Emby server with Jellyseerr/Overseerr and want automated content requests
  • you want TMDb-based or LLM-personalized recommendations without manual searching
  • you need multi-user support with approval workflows and cron scheduling

When to avoid

  • you don't use a media server or a Seer-style request manager
  • you want a simple one-off recommendation list rather than an automated request pipeline
  • you need a fully managed cloud service rather than a self-hosted Docker deployment

Facets

application · maturity active

workflow-automation llm-inference web-framework scheduling media self-hosted large-language-models self-hosted python jellyfin plex emby jellyseerr overseerr tmdb trakt media-server recommendations media-requests automation docker linux web-server

2 sources

Member repositories

RepositoryRoleHealth v2
giuseppe99barchetta/SuggestArrmain89

For agents

markdown · JSON · MCP: product_card(name="giuseppe99barchetta/SuggestArr")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem