Redis Memory Backend Skill

Capabilities

• Configure Redis for conversation state storage
• Implement message history persistence
• Set up Redis caching for LLM responses
• Configure TTL-based memory expiration
• Implement Redis Pub/Sub for real-time updates
• Design efficient key schemas

Target Processes

• conversational-memory-system
• chatbot-design-implementation

Implementation Details

Core Components

1. Message Store: RedisChatMessageHistory
2. Cache: LLM response caching
3. State Store: Conversation state persistence
4. Pub/Sub: Real-time updates

Configuration Options

• Redis connection settings
• Key prefix configuration
• TTL settings
• Serialization format
• Cluster configuration

Key Schema Patterns

• session:{session_id}:messages
• cache:llm:{prompt_hash}
• state:{user_id}:{key}

Best Practices

• Use appropriate data structures
• Configure proper TTLs
• Implement connection pooling
• Monitor memory usage

Dependencies

• redis
• langchain-community (RedisChatMessageHistory)