# 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!

Repository: https://github.com/giuseppe99barchetta/SuggestArr
Canonical: https://ross.abutalabs.com/products/suggestarr
Homepage: https://giuseppe99barchetta.github.io/SuggestArr/
Language: Python
License: MIT
License Family: permissive
Topics: jellyfin, jellyseerr, self-hosted, tmdb, automation, docker, media-automation, open-source, emby, ombi, overseerr, plex, llm, openai, trakt
Last push: 2026-08-24T10:36:08+00:00

## Health v2 (maintenance only)
Score: 89/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 99, release rhythm 99, longevity 49
- inputs: {"age_days": 688, "days_push": 9, "days_rel": 9, "gap_med": 2.0, "n_releases_24m": 39}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1274, forks 30 (observed 2026-08-28T04:04:12.843903+00:00)

## What it is
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
- artifact type: application
- maturity: active
- function: workflow-automation, llm-inference, web-framework, scheduling
- domain: media, self-hosted, large-language-models
- platform: self-hosted, python
- tags: jellyfin, plex, emby, jellyseerr, overseerr, tmdb, trakt, media-server, recommendations, media-requests, automation, docker, linux, web-server

## Member repositories
- giuseppe99barchetta/SuggestArr (main) score 89

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:12.843903+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T05:03:07.579598+00:00, confidence not recorded.
  - readme: https://github.com/giuseppe99barchetta/SuggestArr (fetched 2026-08-28T04:04:12.843903+00:00, sha bbedcd8d865d)
  - homepage: https://giuseppe99barchetta.github.io/SuggestArr/ (fetched 2026-08-29T12:14:29.982585+00:00, sha 9ad8cfb46796)
- Data as of 2026-08-30T08:39:29.467469+00:00.