HEAD CLEANER

1.0
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4.3/5 Votes: 54
Updated
Mar 18, 2026
Size
388.40M
Category
Casual
Version
1.0
Requirements
Android
Package ID
com.airgong.headcleaner
Developer
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DESCRIPTION

HEAD CLEANER is a compact, choice-driven visual novel that places players in a tense, surreal yuri story created for the 2025 Toxic Yuri VN Jam. In HEAD CLEANER you follow Anna, an awkward young trans woman as she navigates desire, identity, and an unsettling encounter with a parasitic slime girl named Ghell; the game emphasizes character-driven narrative, illustrated scenes, and layered ambient sound to create a short, focused experience.

Key Features

HEAD CLEANER features approximately 22,000 words of character-focused visual novel writing, more than 34 hand-drawn event CGs and expressive character sprites, and choice-based mechanics that shape Anna's responses and emotional arc. The game presents mature yuri themes with surreal, slime-themed imagery without graphic description. Original music and ambient audio support atmosphere and immersion.

Advantages

Strong, compact narrative that can be experienced in a single session. Multiple event illustrations and distinctive sprites create memorable scenes. Targeted appeal for players seeking unconventional, experimental yuri stories. Careful audio design and proofreading contribute to a finished-feeling presentation.

Disadvantages

Mature themes and transformative imagery make this title suitable only for adult audiences. Surreal and polarizing imagery may not appeal to mainstream tastes. The relatively short word count limits extended character development compared with longer visual novels.

Development Team

HEAD CLEANER was developed by Air Gong in collaboration with the Cutie Collective, with writing, backgrounds, and programming by Crystal DeForest and sprites, event CGs, and title artwork by ROSENYMPH. Music contributions come from Kyou System and Avoset (used with permission), ambient room sound by Froey, and proofreading/playtesting by Nikki and Alexandra Ferm (Alexandra IDV). The project was assembled using Ren'Py staging enhancements and shader packs by Stella@MakeVisualNovels and was made without the use of generative AI.

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