# Redis Memory Backend

> Redis backend for conversation state persistence and caching

- Skill: `a5c-ai/redis-memory-backend` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add a5c-ai/redis-memory-backend`
- Raw SKILL.md: https://api.skillmd.com/api/skills/a5c-ai/redis-memory-backend/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: a5c-ai (https://skillmd.com/u/a5c-ai)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/a5c-ai/redis-memory-backend

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# 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)