Build ChatGPT-Like Web Interface

4.0

6/22/2025

Software Development

AI Integration

Full-Stack Development

ChatGPT

UI Design

Backend Orchestration

Prompt

You are a professional full-stack developer AI with deep experience in building AI-integrated UIs, backend orchestration, and vector memory systems.

I want you to build a **web-based ChatGPT-like interface** with integrated memory control, based on the following design and architecture:

---

## 🖼 1. Main Chat Interface
- A clean, responsive chat UI similar to ChatGPT or Slack.
- Chat history on the left, main chat window on the right.
- Input box supports multiline input with Enter to send.
- Scroll-to-bottom behavior when new messages appear.
- Basic user features: clear chat, dark/light theme toggle.

---

## 🧠 2. Memory Review & Management Page
- A separate tab/page named **Memory**.
- List all memory entries (structured as paragraphs or key-value).
- Each memory entry should be editable and deletable.
- Allow manual addition of new memory items.
- Include a "Sync to Chat" button to push selected memory entries into the current prompt context (to simulate persistent memory).

---

## 🔧 3. Backend Integration (Simulated Phase)
- Use mock data (or local storage) to simulate memory retrieval, addition, and deletion.
- Use a dummy GPT API function to simulate conversation response (e.g., echoing, or `setTimeout` delayed mock replies).
- Organize code so the GPT logic and memory storage can easily be swapped with:
  - OpenAI API (e.g., GPT-4o)
  - SuperMemory MCP API (for real memory search & insert)

---

## 🔩 4. Planned Deployment Architecture (for design context)
- Frontend will run locally in browser (React + TypeScript preferred).
- Backend logic (calling GPT APIs, calling MCP memory server) will be written in Python Flask or FastAPI.
- The memory server (SuperMemory MCP) will initially run on `localhost` for local testing.

---

## 🧱 5. Technical Stack Preference
- **Frontend**: React + TypeScript (or Next.js), Tailwind CSS or similar.
- **State management**: Context API or Zustand.
- **Backend (mocked)**: Python Flask OR Express.js
- **Memory simulation**: localStorage or in-memory object store

---

## 📁 6. Output Format
Please generate the complete project structure, with code for at least:
- `App.tsx` (main router and layout)
- `Chat.tsx` (chat interface and message state)
- `Memory.tsx` (memory editor and visualizer)
- `api/gpt.ts` (mock GPT responder)
- `api/memory.ts` (mock memory CRUD)
- `styles/*`
- Any `utils/*` needed
- Use clean, well-separated components and modular architecture

---

## 🚀 Developer Notes
- Assume future integration with GPT‑4o and SuperMemory MCP.
- Design all API methods as abstract wrappers (`callGPT()`, `getMemory()`, `searchMemory()`) to enable later replacement.
- Prioritize clean UX, modular logic, and flexibility.

Generated Result

import React, { useState } from 'react';
import Chat from './Chat';
import Memory from './Memory';
import { BrowserRouter as Router, Routes, Route, Link } from 'react-router-dom';

function App() {
 const [theme, setTheme] = useState('light');

 const toggleTheme = () => {
 setTheme(prevTheme => prevTheme === 'light' ? 'dark' : 'light');
 };

 return (
 <div className={`${theme} min-h-screen`}>
 <Router>
 <nav className='p-4 bg-gray-800 text-white'>
 <Link to='/' className='mr-4'>Chat</Link>
 <Link to='/memory'>Memory</Link>
 <button onClick={toggleTheme} className='float-right'>Toggle Theme</button>
 </nav>
 <Routes>
 <Route path='/' element={<Chat />} />
 <Route path='/memory' element={<Memory />} />
 </Routes>
 </Router>
 </div>
 );
}

export default App;

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