MindSync AI Server

Production-grade Go backend for the MindSync AI multi-platform application.

Features

• 🔒 Privacy-First — PII detection, tokenization, and rehydration proxy
• 🌊 SSE Streaming — Real-time AI response streaming
• 🔑 Secure — AES-256-GCM encryption with key rotation, JWT auth
• 🏗️ Clean Architecture — Handler → Service → Domain → Repository layers
• 🤖 Multi-Model — OpenRouter integration (GPT, Claude, Gemini)
• 📈 Scalable — Connection pooling, rate limiting, backpressure handling

Quick Start

# Clone
git clone https://github.com/ckdash-git/MindSync-AI-Server.git
cd MindSync-AI-Server

# Setup environment
cp .env.example .env
# Edit .env with your values

# Start PostgreSQL
make db-up

# Run migrations
make migrate-up

# Run server
make dev

Project Structure

cmd/server/          → Entry point
internal/
  config/            → Configuration loader
  logger/            → Structured JSON logging
  domain/            → Entities and interfaces
  handler/           → HTTP handlers
  service/           → Business logic
  repository/        → Database access
  middleware/         → Auth, rate limiting, logging
  privacy/           → PII detection, tokenization, rehydration
  security/          → Encryption, hashing, JWT
  openrouter/        → OpenRouter API client
pkg/response/        → Standardized API responses
scripts/             → Helper scripts

API Endpoints

Method	Path	Description
GET	/health	Health check
POST	/api/v1/auth/register	Register
POST	/api/v1/auth/login	Login
POST	/api/v1/auth/refresh	Refresh token
POST	/api/v1/auth/logout	Logout
POST	/api/v1/chats	Create chat
GET	/api/v1/chats	List chats
GET	/api/v1/chats/{id}	Get chat
DELETE	/api/v1/chats/{id}	Delete chat
POST	/api/v1/chats/{id}/messages	Send message
POST	/api/v1/chat/stream	SSE streaming

Development

make build        # Build binary
make test         # Run tests
make lint         # Lint code
make test-cover   # Coverage report

License

Proprietary — MindSync AI