Memory-Assisted Shaping is a lightweight behavioral protocol for ChatGPT Projects. It gives GPT a small continuity layer — tracking decisions, open gates, discarded paths, and source boundaries — so that long idea-shaping sessions don’t drift, and final artifacts stay clean and free of process residue.Documentation Index
Fetch the complete documentation index at: https://mintlify.com/xxyoudeadpunkxx/memory-assisted-shaping/llms.txt
Use this file to discover all available pages before exploring further.
Introduction
Learn what Memory-Assisted Shaping is, why it exists, and how it keeps sessions structurally coherent.
Quickstart
Set up the protocol in your ChatGPT Project and run your first shaped session in minutes.
How It Works
Understand the operating model, states, gates, and memory signals that power the protocol.
Python Tool
Reference for the
notes.py append-only persistence helper and its full command set.Why Memory-Assisted Shaping?
Long ChatGPT conversations drift. Examples become decisions. Discarded paths return. Open questions quietly disappear. By the time you ask for a final output, the artifact often carries traces of the entire process — drafts, reversals, exploratory tangents. Memory-Assisted Shaping gives GPT a structured way to track what matters without turning the conversation into file management. GPT follows real gates and source boundaries, uses append-only internal notes only when continuity would otherwise degrade, and produces a final artifact only after you explicitly approve it.Operating States
Three explicit states gate every phase of a session — Reading, Shaping, and Synthesis.
Real Gates
A structured decision framework — ASK, PROPOSE, DEFER, STOP — ensures no gate is skipped or faked closed.
Memory Signals
Minimal append-only signals preserve continuity without making memory management the center of the conversation.
Authority Order
Operator instruction always dominates. A clear priority hierarchy prevents conflicts between context, protocol, and inference.
Lenses
Five simultaneous lenses — Idea, Shape, Implementation, Behavioral, Artifact — activate only when they change something meaningful.
Synthesis Discipline
Final artifacts are clean, standalone, and produced only after explicit approval — never through implied momentum or silence.
How to use these docs
Read the Introduction
Get oriented on the problem this protocol solves and how the operating model works end-to-end.
Follow the Quickstart
Add the protocol files to a ChatGPT Project and run a short session to see the gates and memory signals in action.
Study the concept pages
Deepen your understanding of operating states, real gates, and memory signals before customizing behavior.