Games like Rhome
Rhome is a first-person dark atmospheric exploration game made by students at SMU Guildhall. Players navigate an increasingly chaotic and psychologically unnerving environment to reveal the fate of Hailey Rhome. Proceeds from your purchase on Steam go to support student development.
Players who liked Rhome also play
Ranked by collaborative filtering across millions of Steam libraries plus content overlap on genres, tags, and developers.
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Seybul Tech
Seybul Tech is a walking simulator. Navigate as an office employee, confronting peculiar encounters while in search of an exit from this enigmatic abyss.
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Layers of Fear 2 (2019)
A first‑person psychological horror game set on a haunted ocean liner. As an actor summoned by an unorthodox director, you’ll confront twisted memories from your past and learn the price of achieving the perfect performance.
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[Chilla's Art] The Convenience Store | 夜勤事件
The Convenience Store | 夜勤事件 is a J-horror game about a college girl on a night shift.
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DISTRAINT: Deluxe Edition
DISTRAINT is a 2D psychological horror adventure game for PC. In order to secure a partnership in a famous company, Price seizes the property of an elderly woman. In that very moment, he finds out the price of his humanity.
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Visage
Visage is a first-person psychological horror game. Explore a mysterious ever-changing house in a slow-paced, atmospheric world that combines both uncannily comforting and horrifyingly realistic environments, and enjoy a genuinely terrifying experience.
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Frequently asked about Rhome
- Is Rhome free to play?
- Yes — Rhome is a free-to-play title on Steam. You can install and play it without buying anything, though some games include optional in-app purchases.
- What games are most similar to Rhome?
- Based on Steam play patterns and shared genres/tags, the games most often recommended alongside Rhome are Seybul Tech, Layers of Fear 2 (2019), [Chilla's Art] The Convenience Store | 夜勤事件.
- Who developed Rhome?
- Rhome was developed by SMU Guildhall.
imho.run ranks Steam game alternatives using a mix of collaborative filtering (ALS / iALS / EASE / LightGCN), content scoring over genres, categories, Steam tags, developers, and publishers, plus AI-extracted vibes mined from review text. The page above is generated in seed mode anchored on Rhome.
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