ReddRadar
Agent skill
zep-memory-integration
Zep memory server integration for long-term conversation memory and user profiling
Install this agent skill to your Project
npx add-skill https://github.com/a5c-ai/babysitter/tree/main/library/specializations/ai-agents-conversational/skills/zep-memory-integration
SKILL.md
Zep Memory Integration Skill
Capabilities
- Set up Zep memory server connection
- Configure session and user management
- Implement long-term memory retrieval
- Set up automatic summarization
- Configure entity extraction
- Implement memory search and filtering
Target Processes
- conversational-memory-system
- long-term-memory-management
Implementation Details
Core Features
- Session Management: Create and manage conversation sessions
- Message Storage: Store and retrieve conversation history
- Summarization: Automatic conversation summarization
- Entity Extraction: Extract and track entities
- Search: Semantic memory search
Configuration Options
- Zep server URL and API key
- Session configuration
- Summary settings
- Entity extraction rules
- Memory retrieval limits
Integration Patterns
- LangChain ZepMemory integration
- Direct Zep client usage
- Custom memory wrapper
Best Practices
- Proper session lifecycle management
- Configure appropriate summarization
- Use memory search for relevance
- Monitor memory usage
Dependencies
- zep-python
- langchain-community (ZepMemory)
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