Departed
Release date: Nov 8, 2024
Developers: Void Vulture Games
Publishers: Void Vulture Games
Genres: Casual, Indie
Categories: Single-player, Steam Achievements, Steam Leaderboards, Family Sharing
Supported languages: English

Departed is an anomaly detection game, where you are stuck inside a looping subway system. To escape the loop and win the game, you must explore your surroundings and identify anomalies that differ from the original environment. Only by boarding the correct train 9 consecutive times will you reach your goal. Can you trust your memory? Can you make your way through the endless platforms, or will you get lost forever? Upon your first arrival on the platform, start exploring your surroundings and memorize every detail. With each new iteration of the platform, stay alert for changes—big or small, visual or acoustic. Every difference matters. If you spot an anomaly, return to the train you came from. If you are sure there is nothing out of the ordinary, go ahead and board the train across. A correct decision will bring you closer to your goal, but a mistake will send you back to the beginning instead. In Departed you are looking for your closest friend, who went missing without saying goodbye. Before the disappearance, you often talked about exploring a local urban legend found in a mysterious subway station. Following this lead you soon find yourself caught in a loop, where the only way to escape is to play by the game’s rules. Can you trust yourself? Will you find your way through the seemingly endless platforms and learn what happened to your friend? Or will you get lost forever in the subway system? Challenge yourself: Over 60 anomalies! Can you find all of them hidden in the game? Compare your detection skills with other players on the Leaderboard! Discover the Endless Mode and see how far you can make it! Average Playtime: 30 - 60 minutes. 


Notes: This game includes content not appropriate for all ages. This includes depictions of blood, severed limbs, and dead bodies appearing randomly as anomalies.