Provide implementations of advanced data structures
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a5c-ai/babysitter1.9KUpdated Sep 17, 2026
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redis-memory-backend
Redis backend for conversation state persistence and caching
The English summary is being prepared. Showing the original description.
Works withRedis
See how to installFiles included (2)
- SKILL.md1.5 KB
- README.md511 B
SKILL.md (original)
Review the instructions the agent will receive before you install.
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)
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