Tarikh Keluaran Dirancang: November 2026

Tentang Permainan Ini

Anomaly Archives is a first-person psychological horror and anomaly-detection game set across eerie, looping environments.

Trapped inside shifting liminal locations, from an uncanny art museum to endless yellow halls, damp tiled poolrooms, and abandoned underground subways, your only way out is through razor-sharp observation and memory. Every subtle distortion matters, and trusting your instincts is the only way to survive the loop.

HOW TO PLAY:

• Observe Closely: Memorize every corridor, room layout, and decorative detail on each floor.

• Detect the Unnatural: If you spot an anomaly whether an object moved, a lighting glitch, or something far worse make the correct decision in the elevator to proceed.

• Keep Moving: If the area is entirely normal and untouched, continue forward through the exit.

• Break the Cycle: Consecutive correct choices will guide you toward escape, but a single mistake sends you right back to floor One.

KEY FEATURES:

• 4 Unique Launch Environments: Explore distinct liminal sectors at release: Museum, Backrooms, Pools, and Subway, each offering its own visual atmosphere, eerie pacing, and custom anomalies.

• Continuously Expanding Archives: The game will continue to grow post-launch with free regular updates, introducing brand new liminal maps, experimental mechanics, and fresh psychological anomalies.

• Unpredictable Anomaly Pools: Face dozens of subtle, audio-visual, and chilling distortions that appear at random, ensuring no two runs feel identical.

• Pure Liminal Dread: Zero on-screen clutter, minimalist design, and realistic ambient sound pull you straight into psychological paranoia.

Can you spot what doesn't belong before the archives consume you?

Pendedahan Kandungan Dihasilkan AI

Pembangun menerangkan cara permainan mereka menggunakan Kandungan Dihasilkan AI seperti berikut:

Used standard commercial AI image generators (Stable Diffusion/Midjourney) to create some environmental assets and wall decorations.