Agent-Skills.md

Agent Skills: Zep Memory Integration Skill

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

UncategorizedID: a5c-ai/babysitter/zep-memory-integration

Repository

a5c-ai/babysitter
a5c-aiLicense: MIT
244

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pnpm dlx add-skill https://github.com/a5c-ai/babysitter/tree/HEAD/plugins/babysitter/skills/babysit/process/specializations/ai-agents-conversational/skills/zep-memory-integration

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plugins/babysitter/skills/babysit/process/specializations/ai-agents-conversational/skills/zep-memory-integration/SKILL.md

Skill Metadata

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

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)