memory_bank_enforcement

A rule requiring a project to keep a set of memory-bank Markdown files in a specific directory. These files store project goals, technical context, design patterns, current work, and progress for future tasks.

In plain words
What is it for?
Use it to check that the required memory-bank files exist under the project and follow the expected names and locations.
Why use it?
It prevents important project knowledge from being missing or stored in the wrong place. That gives coding agents a consistent source of background information between sessions.

Cursor rule for Cursor

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add rules/gitmaxd/ai-init/memory_bank_enforcement
Clone the repo
git clone --depth 1 https://github.com/Gitmaxd/ai-init

Made for: Cursor.

Per session 229 This file is loaded in full into every session.
When invoked 229 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00229 $0.00229
Opus 5 $0.00114 $0.00114
Sonnet 5 $0.00046 $0.00046
Haiku 4.5 $0.00023 $0.00023

Measured 2d ago against content hash 8f5fb82aeb7b, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

memory_bank_enforcement scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

lib/templates/next/.cursor/rules/memory_bank_enforcement.mdc · 32 lines

What it actually says

  - memory-bank/projectbrief.md
  - memory-bank/techContext.md
  - memory-bank/systemPatterns.md
  - memory-bank/activeContext.md
  - memory-bank/progress.md

  Use them to provide long-term project memory and context.

examples:

  • input: "memory-bank/projectbrief.md" output: "Valid memory-bank file" metadata: priority: high version: 1.0
Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 32 lines · 229 tokens per session scan A 8f5fb82aeb7b

Subscribe to this mod's changes

memory_bank_enforcement is a cursor rule published in the GitHub repository Gitmaxd/ai-init (8 stars, last pushed 1y ago), licensed MIT. It adds 229 tokens to every session, about $0.0011 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.