Modern AI-powered agentic e-commerce platform, designed to autonomously handle complex commerce operations.
Open Source Software - Licensed under the Functional Source License (FSL). Free to use and modify.
Demo app link: TBA
Below are the reference designs that showcase how the platform should look and feel:
Home Page
Product Listing
Product Page
For more details about the template system and customization, see template/README.md.
Cognito is an innovative agentic e-commerce platform that leverages artificial intelligence and autonomous agents to enhance the shopping experience. Unlike traditional e-commerce systems, Cognito uses AI agents to handle complex workflows, customer interactions, and business processes autonomously.
The platform uses LangGraph to implement a multi-agent system where specialized AI agents autonomously handle different aspects of e-commerce operations. For detailed architecture documentation, see docs/AGENTS.md.
The platform will leverage multiple AI models to create an intelligent, safe, and autonomous e-commerce experience:
Conversational Ecommerce Experience
- AI Chat Interface - Natural language product discovery and purchase through conversational AI
- Personalized Recommendations - Context-aware product suggestions based on conversation
- Smart Shopping Assistant - Autonomous agent to guide customers through their shopping journey
Content Moderation
- Qwen Guard - Vulgar language detection for product submissions in demo store
- Qwen Guard - Comment filtering and moderation for inappropriate content
Product Management
- Qwen 8 VL - Automatic image analysis and product description generation
- Neural Network Classifier - Intelligent filter population and product categorization
Inventory Personal Assistance
- AI Agent - Supplier analysis and cost optimization to find cheaper suppliers
- Competitive Analysis - Automated competitor monitoring and pricing insights
- Inventory Advisory - Intelligent recommendations for stock management and reordering strategies
-
API Backend (Agentic)
- Built with LangGraph - framework for building stateful, multi-agent AI applications
- Autonomous AI agents handle complex e-commerce workflows and business processes
- MongoDB for application data storage
- Weaviate for vector embeddings and semantic search
- Multi-agent orchestration for order processing, inventory management, and customer service
-
AI Chat
- Natural language product search
- Intelligent recommendations
- Direct purchase capability through chat
- Mobile-first responsive design with desktop support
-
CMS
- Admin panel for store configuration
- Product management
- Order and inventory management
- Personalization and settings
- Mobile-first responsive design with desktop support
- Frontend: Next.js + TypeScript
- Backend: LangGraph + MongoDB
- AI: LangGraph for conversational commerce
- Database:
- MongoDB - Primary database for application data
- Weaviate - Vector database for AI-powered search and recommendations
- i18n: next-intl (English and Polish support)
Project in initialization phase.
| Feature | Status |
|---|---|
| Login | ✅ |
| Product Search | ❌ |
| Checkout | ❌ |
| Payments | ❌ |
| Add New Products | ✅ |
| Store Configuration | ❌ |
| Browse Orders | ❌ |
| Browse Users | ❌ |
| Other | ❌ |
# Start infrastructure (MongoDB, Weaviate, Redis, etc.)
docker-compose up -d
# Install dependencies
npm install
# Run development server
npm run devAvailable services:
- Application: http://localhost:2137
- MongoDB: localhost:27018 (mapped from container port 27017)
# Build and start all containers (app + infrastructure)
docker-compose -f docker-compose.prod.yml up -dAvailable services:
- Application: http://localhost:2137
- MongoDB: localhost:27018 (mapped from container port 27017)
Copy .env.example to .env and adjust environment variables:
cp .env.example .env