🧠 LangGraph AI Assistant with Persistent Memory & Summarization

A sophisticated AI chatbot application built with Streamlit, LangGraph, and PostgreSQL featuring intelligent conversation management, real-time streaming, and automatic summarization.

✨ Features

🤖 Lanchain and Langgraph Capabilities

• Memory-Enabled Conversations: AI remembers context across messages
• Real-Time Streaming: Instant response generation with live typing indicators
• Intelligent Summarization: Automatic conversation summarization when reaching message limits
• Persistent Chat History: All conversations saved and retrievable

🔐 Security & Authentication

• Secure User Authentication: Password-protected user accounts
• Session Management: Secure session handling
• Data Privacy: User data isolation and protection
• Cloud Database: Secure PostgreSQL (Neon) integration

💾 Data Management

• Thread-Based Conversations: Organized chat management
• Auto-Save: Real-time message saving
• Conversation History: Access all past conversations
• Cloud Storage: Data persistence across sessions

🚀 Quick Start

Prerequisites

• Python 3.8 or higher
• PostgreSQL database (Neon Cloud recommended)
• OpenAI API key or compatible LLM provider

Installation

1. Clone the repository

   git clone https://github.com/yourusername/langgraph-ai-assistant.git
   cd langgraph-ai-assistant

2. Install dependencies

   pip install -r requirements.txt

3. Set up environment variables Create a .env file in the root directory:

   # Database Configuration
   DATABASE_URL=your_postgresql_connection_string
   
   # AI Model Configuration
   GOOGLE_API_KEY=your_google_api_key
   MODEL_NAME=gemini-2.0-flash  # or your preferred model

4. Run the application

   streamlit run Login.py

🛠️ Configuration

Database Setup (Neon PostgreSQL)

1. Create a Neon account
2. Create a new project and database
3. Copy the connection string to your .env file
4. Run the initialization script to create tables

AI Model Configuration

Update your .env file with the appropriate API keys and model names.

📋 Requirements

Python Dependencies

streamlit
langgraph
langgraph-checkpoint-postgres
langchain-google-genai
langchain-core
psycopg-binary
psycopg-pool
python-dotenv