Redis

Redis Plugin for AI Dev Marketplace

Production-ready Redis integration for caching, sessions, rate limiting, pub/sub messaging, and AI embedding cache with multi-framework support.

Features

Core Capabilities

• Caching Strategies: Cache-aside, write-through, write-behind patterns
• Session Management: Secure session storage for FastAPI, Next.js, Express
• Rate Limiting: API rate limiting with multiple algorithms
• Pub/Sub Messaging: Real-time messaging for distributed systems
• Connection Management: Pooling, retries, failover, circuit breakers

AI-Specific Features

• Embedding Cache: Reduce AI API costs by 50%+
• Vector Query Cache: Cache vector search results
• Semantic Cache: AI query result caching with similarity
• Conversation Context: Session-scoped memory for chatbots

Production Ready

• High Availability: Sentinel and Cluster support
• Monitoring: Metrics, health checks, Prometheus integration
• Security: TLS/SSL, ACLs, environment variables only
• Deployment: Docker, Kubernetes, Redis Cloud, self-hosted

Quick Start

# Initialize Redis in your project
/redis:init

# Add caching layer
/redis:add-cache

# Add session management
/redis:add-session-store

# Add AI embedding cache (50%+ cost savings)
/redis:add-vector-cache

Commands (18 total)

Setup

• /redis:init - Initialize with framework detection
• /redis:add-connection-pool - Configure connection pooling
• /redis:add-sentinel - High availability
• /redis:add-cluster - Cluster configuration

Features

• /redis:add-cache - Caching layer
• /redis:add-session-store - Session management
• /redis:add-rate-limiting - Rate limiting
• /redis:add-pub-sub - Pub/sub messaging
• /redis:add-vector-cache - AI embedding cache
• /redis:add-semantic-cache - AI semantic cache
• /redis:add-queue - Simple queue

Integrations

• /redis:integrate-fastapi - FastAPI
• /redis:integrate-nextjs - Next.js
• /redis:integrate-express - Express
• /redis:integrate-celery - Celery

Operations

• /redis:add-monitoring - Monitoring
• /redis:deploy - Deployment
• /redis:test - Testing

Agents (12 specialists)

1. redis-setup-agent - Configuration & detection
2. cache-architect - Caching strategies
3. session-manager - Session stores
4. rate-limiter-specialist - Rate limiting
5. pub-sub-specialist - Messaging
6. vector-cache-specialist - AI embeddings
7. semantic-cache-specialist - AI queries
8. sentinel-architect - High availability
9. monitoring-integrator - Observability
10. fastapi-integrator - FastAPI integration
11. nextjs-integrator - Next.js integration
12. deployment-architect - Production deployment

Skills (10 comprehensive)

1. cache-strategies - Patterns & eviction
2. session-management - Implementations
3. rate-limiting-patterns - Algorithms
4. pub-sub-patterns - Messaging
5. ai-cache-patterns - AI optimization
6. sentinel-configurations - HA templates
7. monitoring-patterns - Metrics & alerts
8. deployment-configs - Docker/K8s
9. connection-management - Pooling
10. framework-integrations - Multi-framework

Security

✅ Environment variables only ✅ .env.example with placeholders ✅ .gitignore protection ✅ TLS/SSL for production

# .env.example (safe to commit)
REDIS_URL=redis://localhost:6379
REDIS_PASSWORD=redis_your_password_here

Framework Support

• Python: FastAPI, Django, Flask
• Node.js: Next.js, Express
• Task Queue: Celery

Deployment

• Local Docker/Docker Compose
• Redis Cloud (managed)
• Self-hosted (DigitalOcean, AWS, GCP)
• Kubernetes with Operators
• Redis Enterprise

AI Cost Optimization

# Embedding cache - 50%+ savings
embedding = cache_embedding(text, "text-embedding-3-small")

# Semantic cache - Similar queries
response = semantic_cache_query(prompt, threshold=0.90)

License

MIT