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knowledge-graph

Create entities and relations in knowledge graphs via MCP server.

Updated Mar 26, 2026
Search Tags:#knowledge graph#AI memory#data persistence#entity-relationship#structured knowledge
One-click install
npx skills add https://github.com/locdinh209/curation-skills --skill knowledge-graph-locdinh209
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: knowledge-graph
Source: https://github.com/locdinh209/curation-skills/tree/main/knowledge-graph
Command: npx skills add https://github.com/locdinh209/curation-skills --skill knowledge-graph-locdinh209

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires @modelcontextprotocol/server-memory, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides a solution for AI agents to maintain persistent memory and build knowledge graphs, aiding in remembering information across conversations and creating structured knowledge bases.

Core Features & Use Cases

  • Persistent Memory: Store and retrieve information across conversations.
  • Knowledge Graphs: Build entity-relationship graphs for complex data representation.
  • Use Case: For an AI agent that needs to remember user preferences, track project context, or build a structured knowledge base, this Skill can be instrumental.

Quick Start

Use the knowledge-graph skill to create a new entity for a person named 'John' with the type 'developer'.

Frequently Asked Questions about knowledge-graph

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build persistent memory for AI agents across conversations?▼

Build persistent memory for AI agents by using a knowledge graph to store and retrieve information across conversations. This Skill enables entity creation and relation establishment to maintain context over time.

What is a knowledge graph for structured AI memory?▼

A knowledge graph for structured AI memory is an entity-relationship model that stores complex data. It allows AI agents to log observations and build a structured knowledge base for tracking project context.

Do I need an MCP server to maintain entity-relationship graphs for AI?▼

Yes, you need the Model Context Protocol (MCP) server and its associated memory management tools to build and maintain these entity-relationship graphs for AI agents.

How do I create an entity in a knowledge graph for an AI agent?▼

Create an entity in a knowledge graph by defining a specific name and type, such as creating a 'developer' entity named 'John'. This establishes a foundational node for tracking relationships and observations.

Can I use knowledge graphs to track user preferences in AI applications?▼

Yes, you can use knowledge graphs to track user preferences in AI applications. The system supports observation logging and relation establishment to remember specific user details and project contexts.

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