Graph Memory Architecture
CommunityOptimize AI's memory with graph-based retrieval techniques.
AuthorRenzo-Tognella
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses the challenge of efficiently retrieving information from a Neo4j graph database, enabling AI agents to access and manage their memory more effectively.
Core Features & Use Cases
- Graph Model Extension: Support for adding node and relationship types, implementing Personalized PageRank retrieval, hierarchical context trees, and spreading activation.
- Memory Techniques: Offers various graph-based memory techniques, such as Personalized PageRank, Hierarchical Context Tree, Spreading Activation, Community Detection, and Graph Chain-of-Thought.
- Use Case: An AI agent working with a complex project management tool can use this skill to organize project data in a Neo4j graph and retrieve relevant information efficiently.
Quick Start
Use the Graph Memory Architecture Skill to retrieve information about the 'Project X' by querying the graph database.
Dependency Matrix
Required Modules
neo4j
Components
scriptsreferences
💻 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: Graph Memory Architecture Download link: https://github.com/Renzo-Tognella/UniversalThingsForMyAgents/archive/main.zip#graph-memory-architecture Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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