redis-memory-backend

From babysitter

411

Description

Redis backend for conversation state persistence and caching

AI Summary

Stores conversation history and caches LLM responses using Redis for persistent memory.

Install

Run in your terminal

npx claudepluginhub a5c-ai/babysitter

Tool Access

This skill is limited to using the following tools:

ReadWriteEditBashGlobGrep

Supporting Assets

View in Repository

README.md

Skill 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)

Links

GitHub Stats

21 forks

Updated 1 month ago

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