graphiti-memory-lifecycle
CommunityManage and recall AI memory efficiently across lifecycle stages.
Authorhahahafeifeifei
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill streamlines the entire AI memory lifecycle from capture, distillation, storage, to retrieval, ensuring consistent and efficient memory management.
Core Features & Use Cases
- Full Lifecycle Management: Automates memory capture from hooks and transcripts, distills and stores structured memory, and facilitates runtime recall.
- Knowledge Graph Integration: Synchronizes memories into Neo4j, enabling advanced querying and visualization.
- Use Case: For a developer maintaining a persistent contextual memory for an AI assistant, this Skill captures daily logs, structures key insights, and injects relevant memory before each conversation turn.
Quick Start
Use this Skill to automatically capture conversation memories, distill important information, and prepare context injections for AI workflows.
Dependency Matrix
Required Modules
neo4jopenclaw
Components
scriptsreferencesassets
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: graphiti-memory-lifecycle Download link: https://github.com/hahahafeifeifei/graphiti-memory-lifecycle/archive/main.zip#graphiti-memory-lifecycle Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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