zep-memory-integration
Zep memory server integration for long-term conversation memory and user profiling
npx skills add a5c-ai/babysitter --skill zep-memory-integration --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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)
- Capabilities
- Target Processes
- Implementation Details
- Core Features
- Configuration Options
- Integration Patterns
- Best Practices
- Dependencies
What does the zep-memory-integration skill do?
Zep memory server integration for long-term conversation memory and user profiling
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill zep-memory-integration --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.