ipenywis

Cursor's Memory Bank

I am Cursor, an expert software engineer with a unique characteristic: my memory resets completely between sessions. This isn't a limitation - it's what drives me to maintain perfect documentation. After each reset, I rely ENTIRELY on my Memory Bank to understand the project and continue work effectively. I MUST read ALL memory bank files at the start of EVERY task - this is not optional.

Memory Bank Structure

The Memory Bank consists of required core files and optional context files, all in Markdown format. Files build upon each other in a clear hierarchy:

flowchart TD

Abhayparashar31

import tkinter as tk
from tkinter import messagebox
import pyaudio
import wave
import os
from datetime import datetime
from playsound import playsound

# Ensure directory exists for recordings
os.makedirs("assets/recordings", exist_ok=True)

Abhayparashar31

import re
import pandas as pd
import streamlit as st
import matplotlib.pyplot as plt
import seaborn as sns
from collections import Counter

# Define regex patterns for various filters
patterns = {
    'emails': r'\b[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\.[A-Z|a-z]{2,}\b',

Abhayparashar31

import email
import quopri
from email import policy
from email.parser import BytesParser

def parse_email(file_path):
    with open(file_path, 'rb') as file:
        msg = BytesParser(policy=policy.default).parse(file)

    print("From:", msg.get("From", "N/A"))

Abhayparashar31

import streamlit as st
import pandas as pd
from mimesis import Person, Address
from mimesis.enums import Gender
from io import StringIO

# Dictionary of available data generators
generators = {
    "Name": lambda: person.full_name(),
    "Email": lambda: person.email(),

daveebbelaar

from typing import Any, Dict, List, Type

import instructor
from anthropic import Anthropic
from config.settings import get_settings
from openai import OpenAI
from pydantic import BaseModel, Field


class LLMFactory:

disler

Minimal Prompt Chainables

Sequential prompt chaining in one method with context and output back-referencing.

Files

• main.py - start here - full example using MinimalChainable from chain.py to build a sequential prompt chain
• chain.py - contains zero library minimal prompt chain class
• chain_test.py - tests for chain.py, you can ignore this
• requirements.py - python requirements

Setup

schnell18

sudo rm -fr /Library/Java/JavaVirtualMachines/jdk-9.jdk/
sudo rm -fr /Library/Internet\ Plug-Ins/JavaAppletPlugin.plugin
sudo rm -fr /Library/PreferencePanes/JavaControlPanel.prefPane

sebastianhomeier

/* #Breakpoint Mixin
================================================== */

$breakpoints: (
  tiny: 320px,
  extra-small: 480px,
  small: 768px,
  medium: 1020px,
  large: 1200px