About Memora AI Chat
A cutting-edge real-time AI chat system with persistent memory, built using modern web technologies and microservices architecture.
4+ weeks
Development Time
2,500+
Code Lines
15+
Components
15/15 Complete
Features
System Architecture
Memora uses a microservices architecture with the following key components:
Frontend Layer
- • Next.js 14 with TypeScript for type safety
- • shadcn/ui components with Tailwind CSS styling
- • LiveKit client for real-time WebRTC communication
- • Responsive design with dark/light theme support
Backend Services
- • Python LiveKit agents with modular services
- • AI Service with Gemini API integration
- • Memory Service with mem0.ai and Qdrant vector DB
- • Message Handler for orchestrating responses
Data Flow:
User Message → Frontend → LiveKit Cloud → Python Agent → AI Service → Memory Service → Response Generation → Real-time Delivery
Technology Stack
Next.js 14
Frontend
TypeScript
Language
Tailwind CSS
Styling
LiveKit WebRTC
Real-time
Python 3.13+
Backend
Gemini AI
AI Engine
mem0.ai
Memory
Qdrant
Vector DB
Key Features
Real-time Communication
WebRTC-powered instant messaging with LiveKit Cloud infrastructure
Persistent Memory
Cross-session conversation memory using vector embeddings and RAG
AI Chat Agent
Intelligent responses powered by Google Gemini AI with contextual awareness
Multi-user Rooms
Support for multiple users in the same conversation space
Secure Architecture
Isolated memory spaces and encrypted real-time communication
Graceful Degradation
Fallback systems ensure functionality even when external APIs fail
Ready to Experience AI Chat?
Start a conversation and see the power of persistent memory in action.