Zep memory integration

Skill a5c-ai/babysitter/library/specializations/ai-agents-conversational/skills/zep-memory-integration

Babysitter enforces obedience on agentic workforces and enables them to manage extremely complex tasks and workflows through deterministic, hallucination-free self-orchestration

Install

npx -y skills add a5c-ai/babysitter --skill zep-memory-integration

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What its author says it does

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

SKILL.md

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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)