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- a5c-ai/babysitter
- Last source activity
- June 1, 2026 at 07:46
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SKILL.md
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- redis-memory-backend
- description
- Redis backend for conversation state persistence and caching
- allowed-tools
- ["Read","Write","Edit","Bash","Glob","Grep"]
- graph
- {"domains":["domain:software-engineering"],"specializations":["specialization:ai-agents-conversational"],"skillAreas":["skill-area:context-management","skill-area:caching-strategies"],"roles":["role:ml-engineer","role:backend-engineer"],"workflows":["workflow:feature-development","workflow:ml-model-lifecycle"]}
# 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)
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