Case study

e17p: reconstructing Ever17 and Remember11 storage formats

e17p reconstructs storage formats used by the visual novels Ever17 and Remember11 while developing a Python engine for their data. Its tools extract LNK and AFS archives, convert CPS and T2P images and WAF audio, and inspect script data; several script semantics remain unknown.

Targets: Game
Category: Independent reconstruction cases
Relationship: Independent reconstruction project
Sources reviewed: 2026-11-06
Evidence class: C2 code & docs, no demo or download

Stars: 11
Last commit: 2017-04-08
Language: Python
License (GitHub): GPL-2.0
Status: Archived

GitHub data as of 2026-11-10

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Evidence

Observed: Code and documentation observed; no download method or demo found.
Checked: 2026-11-09

How evidence classes are assigned

Requirements & limits

Prerequisites: Python 3.x; Pygame for the planned GUI engine and ImageMagick convert for CPS-to-PNG conversion.
Limits: Work focuses on Ever17; Remember11 support is preliminary, and several script opcodes remain uncertain.
License: GPL-2.0-or-later.

Cite

BibTeX

@misc{e17p-ever17-remember11-case,
  title = {{e17p: reconstructing Ever17 and Remember11 storage formats}},
  howpublished = {\url{https://github.com/uyjulian/e17p}},
  url = {https://github.com/uyjulian/e17p},
  urldate = {2026-11-06},
  note = {Awesome REA entry: \url{https://awesomerea.org/resources/e17p-ever17-remember11-case/}}
}

Plain text

e17p: reconstructing Ever17 and Remember11 storage formats. https://github.com/uyjulian/e17p (accessed 2026-11-06). Awesome REA entry: https://awesomerea.org/resources/e17p-ever17-remember11-case/

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Primary sources

README.md GitHub · uyjulian/e17p · Revision f6b24f4