agentsclimarketplace
Sign in

Redis memory backend

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

Redis backend for conversation state persistence and cachingFrom its SKILL.md

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.

SKILL.md

1.5 KB, 222 tokens by cl100k_base, 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

  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)

What ships with it: 1 file

511 B alongside SKILL.md

Keep looking

Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.