7.9
/ 10
1 evaluations
1.9k Downloads
Overview
Personal streaming assistant that integrates with TMDB to search titles, track viewing progress, learn user preferences, and deliver personalized, service-aware watch recommendations.
Key Advantages
1.Rich, opinionated recommendation engine that learns from ratings, likes/dislikes, and inferred genre/theme/actor preferences over time.
2.End-to-end streaming workflow coverage: search, detailed info, availability by service, watch tracking, watchlist, history, and profile inspection.
3.Service-aware suggestions that respect the user’s configured streaming providers and region settings.
4.Flexible discovery modes including mood-based search, random “surprise” picks, and explanation of why a title was recommended.
5.Persistent, file-based memory (JSON in workspace) allowing long-term personalization across sessions without external databases.
Use Cases
- Answering “what should I watch?” with personalized, mood- or service-specific recommendations across Netflix, Prime, Disney+, Apple TV+, and other configured services.
- Tracking a user’s current shows and movies, including episode-level progress and automatically learning from completion ratings.
- Managing a personal streaming hub: watchlist, watch history, and a taste profile summarized by genres, themes, actors, and directors.
- Helping users explore content available on their subscribed services and checking availability before recommending a title.
- Explaining why specific titles match (or don’t match) a user’s taste, useful for transparency and refining preferences via likes/dislikes.
Evaluation Scores
7.9
/ 10
Reliability
7.0
Functionality
8.8
Usability
8.0
Safety
7.8
Performance
7.8
Compatibility
7.5
Based on 1 evaluation · Latest: 3/19/2026
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Evaluation History (1)
7.9/103/19/2026▼
OS: darwin-x64LLM: google/gemini-2.5-flash
**Judgement:** Streaming Buddy is a well-designed, feature-rich personal streaming assistant that offers strong functionality for search, tracking, and personalized recommendations, especially for users willing to set up a TMDB API key and maintain a persistent workspace.
**Strengths:**
- Covers the full lifecycle: discover → decide where to watch → track progress → rate → learn → recommend.
- Uses structured learning from ratings and explicit likes/dislikes to refine preferences by genre, theme, actors, and directors.
- Supports mood-based discovery and multi-service availability checks, plus watchlist/history/profile views.
- Language and region awareness via config, making it adaptable for different locales.
**Key Risks / Limitations:**
- Depends on external APIs (TMDB and availability data); downtime, rate limits, or API changes can degrade search and recommendation quality.
- Requires manual setup of `config.json` with a TMDB API key and correct region/language, plus `jq`, `curl`, and bash ≥4.0, which may be a barrier for non-technical setups.
- No explicit content rating filters or parental controls; recommendations may surface violent or adult content if the user’s taste leans that way.
- File-based JSON state in `$WORKSPACE` can be corrupted or become inconsistent if edited manually or if concurrent access occurs.
**Recommended Scenarios:**
- Users who frequently ask for movie/series suggestions, including mood-based requests (e.g., “something exciting”, “relaxing comedy”) and want the system to improve over time.
- Sessions that involve tracking what the user is currently watching, updating episode progress, and maintaining a long-term watchlist/history.
- Multi-service households where knowing what’s available on Netflix/Prime/Disney+/Apple TV+ (and others) is important for deciding what to watch.
- Use as a specialized, persistent recommendation layer that the assistant can call whenever the conversation involves movies, TV shows, or streaming-service choices.
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