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Redis Memory Backend | Skills Pool

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Redis Memory Backend

Redis backend for conversation state persistence and caching

a5c-ai575 스타2026. 3. 25.

직업: 소프트웨어 개발자
카테고리: NoSQL 데이터베이스

스킬 내용

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

Message Store: RedisChatMessageHistory
Cache: LLM response caching
State Store: Conversation state persistence
Pub/Sub: Real-time updates

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Redis Memory Backend

npx skillvault add a5c-ai/a5c-ai-babysitter-library-specializations-ai-agents-conversational-skills-redis-memory-backend-skill-md

Skill 다운로드 저장소 열기

작성자: a5c-ai
스타: 575
업데이트: 2026. 3. 25.
직업

이 페이지의 내용

01Redis Memory Backend Skill

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)

02

Capabilities

03Target Processes

04Implementation Details

05Core Components

06Configuration Options

07Key Schema Patterns

08Best Practices

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