Redis memory backend

Skill a5c-ai/babysitter/library/specializations/ai-agents-conversational/skills/redis-memory-backend

Babysitter enforces obedience on agentic workforces and enables them to manage extremely complex tasks and workflows through deterministic, hallucination-free self-orchestration

Install

npx -y skills add a5c-ai/babysitter --skill redis-memory-backend

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

What its author says it does

Copied from the file, not written here

Redis backend for conversation state persistence and caching

SKILL.md

1.5 KB, as published. Nobody here has run it

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)