Hinoko Txt Method – Simulating Memory in ChatGPT
A minimal and effective approach to simulate memory and character continuity in ChatGPT using structured .txt files.
No coding required. This is a simple and brutal trick—even for users without any programming background.
Overview
The Hinoko Txt Method is a non-API user technique to reconstruct conversational context using lightweight, labeled .txt files. Ideal for role-based storytelling, memory emulation, and continuity in Traditional Chinese environments.
- File format:
.txt - Recommended size: ~90KB (under 100KB)
- Ideal language: Chinese (compact, semantically dense)
Method Summary
Basic Guidelines:
- Use filenames like
history_1.txt,history_2.txt, etc. - Label all referenced texts clearly
- Delay file loads by 0.3 to 1 second for natural pacing
- No response speed limit—let the model “think”
Key Insight:
GPT reads files only at the session start. If it delays, it’s processing. If it replies instantly, it likely skipped the structure.
License
CC BY-NC-ND 4.0
© 2025 Kobayashi Hinoko
You may share this method for non-commercial purposes with full attribution. Derivative works and commercial reuse are not permitted.
This method creates the illusion of memory in a stateless system, bridging creativity and system limitations for interactive storytelling.