/redis-memory-backend

name: redis-memory-backend
description: Redis backend for conversation state persistence and caching
allowed-tools:
  - Read
  - Write
  - Edit
  - Bash
  - Glob
  - Grep
graph:
  domains: [domain:software-engineering]
  specializations: [specialization:ai-agents-conversational]
  skillAreas: [skill-area:context-management, skill-area:caching-strategies]
  roles: [role:ml-engineer, role:backend-engineer]
  workflows: [workflow:feature-development, workflow:ml-model-lifecycle]

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)