Chatbot Engine with Persistent Memory

A robust backend developed with Node.js and TypeScript that implements a user state and memory management system. It uses a service architecture for basic natural language processing (NLP), allowing it to maintain conversation context and persistently store user data using a local file system.

Key Features

• Context Awareness: The bot recognizes if it has already greeted the user.
• User Persistence: Automatically saves user name in each profiles.
• UUID Session Management: Unique user identification for separate conversations.
• Clean Architecture: Code organized into controllers, services, and repositories.

Tech Stack

• Backend: Node.js, Express
• Language: Typescript
• API: RESTful API with data exchange in JSON format
• Architecture: Clean Architecture (Controllers, Services, and Repositories)
• Persistence: File System (FS) for local storage of sessions and profiles

Project Structure

├───data/
├───src/
    ├───controllers/        # Middleware para manejar el endpoint de chat, manejo de peticiones y validación de datos
    ├───models/             # Definicion de interfaces (Message, UserData)
    ├───repositories/       # Repositorios de almacenamiento en memoria (memory, user)
    ├───routes/             # Organizacion de (endpoints) de la API
    └───uervices/           # Logica de manejador de mensajes (handleChat, getRecentMessages, detectIntent)