zep-memory-integration

Solid

Zep memory server integration for long-term conversation memory and user profiling

AI & Automation 814 stars 53 forks Updated today MIT

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Skill Content

# 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 1. **Session Management**: Create and manage conversation sessions 2. **Message Storage**: Store and retrieve conversation history 3. **Summarization**: Automatic conversation summarization 4. **Entity Extraction**: Extract and track entities 5. **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)

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

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