** Introduction** Memory Bank is a simple file system that captures the key context of a project. It helps AI (such as Claude, Grok, or analogues) generate code and solutions that match your design, without repeated explanations. For beginners, imagine that each AI request starts anew – without a memory bank, the AI “forgets” the details of the project, which leads to errors and alterations. With a memory bank, the context is always at hand and the process becomes predictable.

Why do you need a memory bank? AI models work with a limited context (usually 100,000-300,000 tokens). In long-term projects without recording information:

• AI reinterprets details, which causes inconsistencies (e.g., generates code on another stack).
• You spend time repeating descriptions (“it’s for the mobile version, no database”).
• The project loses consistency – the code from different sessions does not fit together.

Memory Bank solves this by storing information in separate files. It’s like a project memory: AI reads them before work, and the result is closer to the goal with 1-2 iterations instead of 5-10.

Structure of memory bank Memory bank is a folder (usually memory-bank/ at the root of the project) with Markdown files. Each file focuses on one topic. Basic set:

• projectbrief.md: A brief overview of the project (what it is, goals, boundaries).
• productContext.md: Description of the product (audience, problems, functions).
• techContext.md: Technical details (stack, limitations, standards).
• activeContext.md: Current decisions and open questions (updated on the go).
• progress.md: Progress tracker (what's done, what's planned).

You can add more (e.g. userFlows.md for threads), but start with 4-5 files to avoid overloading.

Examples of file content

1. projectbrief.md Brief briefing: 1-2 pages of text. An example for a sweatshirt store:

   code copy

#Project Brief: The Meme Switch Store

General idea

A website for selling custom meme prints. Focus on simplicity and mobile version.

## Goals

• MVP in 2 weeks 5-10 sales per month at launch No marketing budget (virality through memes)

The boundaries of MVP

• Order orders only (without online payment)
• 10-15 goods
• No admin panel (JSON data)

## Key metrics

Page loading time < 2 seconds

• Conversion to application > 5%
  code copy

2. productContext.md Product details: audience, problems, functions. Example:

   code copy

#Product Context: Meme Switch Store

#Audience

• Age: 18-35 years Interests: memes, social networks (TikTok, VK), street fashion Pain: it is difficult to find unique prints in Russian; expensive analogues

## The problem we are solving

• No niche sweatshots with local memes at an affordable price (1500-2500 rubles)

## Basic functions

Catalogue with filters (color, size)

• Product page with photo and description n
• A basket with an order form

#User stories As a user, I want to see a directory to select a sweatshot.

• As a user, I want to submit an application to receive the goods
  code copy

3. techContext.md Technical limitations and stack. Example:

   code copy

Tech Context: The Meme Switch Store

## Technology stack

Frontend: HTML/CSS/JS (or Next.js for simplicity)

• Backend: No (static site) Storage: JSON files for goods
• Styles: Tailwind CSS

## Limitations

• No databases (all static) Mobile adaptability: 100% (test on Chrome DevTools) Dependencies: minimum (Tailwind, possibly Alpine.js for interactive) Code standards: ES6+, 4 spaces, comments in English

## Launch

• Local: npm run dev Deployee: Vercel or GitHub Pages
  code copy

4. activeContext.md Current decisions and issues. Example:

   code copy

#Active Context: Meme Switch Store

Current decisions

Filters in the catalog: by color and size (implemented through JS) Order form: sending by email (use Formspree)

Open questions

• How to add animation to the main one? (check performance) Integration with Telegram for notifications? (delayed for v2)

Recent developments

2026-02-10: Added basket to localStorage

5. **`progress.md`**
Task tracker.
Example:

#Progress: Shop of meme sweatshots

##Done

• Main page (banner + products)
• Catalog (filters working)

At work.

• Product page (photo + description)

## Plan for the week

• Cart and order form
• Mobile testing

##Blockers No photos of goods (to be downloaded)

How to create a memory bank**
1. Make a folder. At the root of the project, make `memory-bank/`.

2. **Automate with AI**: Send a request for the AI to generate files.
Example of request:

I have a project: an online store of sweatshots with memes.

Create a memory bank - folder with files: projectbrief.md: a brief overview, goals, boundaries of MVP productContext.md: audience, problems, functions

• techContext.md: stack, restrictions, standards activeContext.md: current decisions and issues progress.md: progress tracker

Use a simple Markdown. Make it realistic for a beginner with no budget.

The AI will give the finished files – copy them to the folder.

3. **Update manually or through AI**: After the changes, ask the AI: “Update activeContext.md: Add a shopping cart to localStorage.”.

4. **Integrate into the process**: Add “Initialize memory” before requesting an AI. Usually, AI agents start by analyzing documentation, but some models need to be reminded of this. Most importantly, you don’t need to be reminded for every query, but only when you create a new context box.


Memory Bank is a basic tool for beginners and not only: it simplifies the work with AI, making it systemic. Start with 3 files and see the difference in speed and quality.