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claude-code development

Babysitter redis-memory-backend

Redis backend for conversation state persistence and caching

install

source · Clone the upstream repo

git clone https://github.com/a5c-ai/babysitter

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/a5c-ai/babysitter "$T" && mkdir -p ~/.claude/skills && cp -r "$T/library/specializations/ai-agents-conversational/skills/redis-memory-backend" ~/.claude/skills/a5c-ai-babysitter-redis-memory-backend && rm -rf "$T"

manifest: library/specializations/ai-agents-conversational/skills/redis-memory-backend/SKILL.md

tags

#redis-integration #conversation-persistence #caching-system #state-management #memory-storage

source content

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

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)