Season 1-3 data included
The bundled scene database covers the recurring Dreamscape Memory seasons, so the solver starts with a real dictionary of rooms, words, and item coordinates instead of an empty template.
Dreamscape Memory is a dedicated Whiteout Survival event module for Recall Road. It watches the live device frame, OCRs the word buttons, chooses the right scene from the visible words, and taps the mapped items automatically. It is built for the frantic part of the event: when the screen is moving, the timer is running, and tabbing through a guide would be slower than just letting the bot solve it.
Example run: the live solver reads the word slots, matches the scene, and taps mapped items without switching to a manual guide.
Chapter clear screens from live Dreamscape runs after the solver finishes the mapped item set.



Season 1-3 data included
The bundled scene database covers the recurring Dreamscape Memory seasons, so the solver starts with a real dictionary of rooms, words, and item coordinates instead of an empty template.
Live OCR, not a replay script
Every loop reads the bottom word buttons from the device frame. The solver selects the matching scene at runtime, then taps only the item keys it has not already clicked in this run.
Solo and multiplayer
The module has separate scenarios for the normal three-word layout and the six-word multiplayer layout, both running in the same fast Dreamscape loop.
New-word review flow
If OCR sees a word that is not mapped yet, the live page captures the frame for the New tab. The operator places the item once, reviews it, and the scene database stays deliberate instead of silently growing from a bad OCR read.
| Scenario | Use it for |
|---|---|
dreamscape_memory | Normal Dreamscape Memory / Recall Road levels with three visible words. |
dreamscape_memory_multiplayer | Co-op Dreamscape Memory levels with six visible words. |
The live dashboard page also shows the current frame, detected screen, OCR’d words, matched scene, and which words are already known. When something new appears, it can capture the screen for labeling so the dictionary keeps getting better instead of silently failing.