skills.rest
gatovillano
gatovillanoCOMMUNITY
Explore all skills by this author →
GitHub

knowledge-memory-management

Store, retrieve, and update structured knowledge with semantic search and graph relations.

Updated Jun 19, 2025
Search Tags:#knowledge management#knowledge graph#semantic search#information retrieval#memory management
One-click install
npx skills add https://github.com/gatovillano/KognitoAI --skill knowledge-memory-management
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: knowledge-memory-management
Source: https://github.com/gatovillano/KognitoAI/tree/main/skills/knowledge_and_memory_skill
Command: npx skills add https://github.com/gatovillano/KognitoAI --skill knowledge-memory-management

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires psycopg2-binary, neo4j, numpy, networkx, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps you manage and organize your knowledge and memory, making it easy to store, retrieve, and update information in a structured and persistent way.

Core Features & Use Cases

  • Knowledge Storage: Store information, notes, and learnings in a structured manner.
  • Semantic Search: Find information based on semantic similarity, not just keywords.
  • Graph Relations: Establish and maintain relationships between concepts in a knowledge graph.
  • Use Case: When you want to store a new fact, relate it to existing knowledge, or update your profile with new learnings.

Quick Start

Use the 'knowledge-memory-management' skill to add a new piece of knowledge about 'Python best practices'.

Frequently Asked Questions about knowledge-memory-management

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

FAQPage Schema
How do I store and retrieve information using a knowledge graph?▼

To store and retrieve information using a knowledge graph, you add facts to a persistent storage system that maps relationships between concepts. This skill structures your data to enable semantic search and graph relation queries.

What is semantic search and how does it find information beyond keywords?▼

Semantic search finds information based on semantic similarity rather than exact keyword matches. It retrieves related concepts and contextually relevant data from your knowledge base, ensuring you locate facts even when terminology differs.

Do I need PostgreSQL and Neo4j to manage knowledge and memory storage?▼

Yes, you need PostgreSQL and Neo4j to manage knowledge and memory storage with this skill. These database systems handle the structured persistent storage and graph relations required for semantic search operations.

Can I update existing knowledge and establish relationships between new concepts?▼

Yes, you can update existing knowledge and establish relationships between new concepts. The skill allows you to add new facts, relate them to existing knowledge, and maintain graph relations within your structured memory.

What's the best way to structure notes and learnings for persistent memory management?▼

The best way to structure notes for persistent memory management is to store them as interconnected nodes in a knowledge graph. This enables efficient retrieval and semantic search across related concepts using Neo4j and PostgreSQL.

Related Skills

codatacodata
8

neo4j_expert

Convert Croissant dataset JSON-LD files into a Neo4j knowledge graph.

Official
Intermediate
Synaptic-Labs-AISynaptic-Labs-AI
71

pact-memory

Store and retrieve structured memories in a SQLite-backed store for PACT agents.

Official
Advanced
jackspacejackspace
16

networkx

Create, analyze, and visualize graphs with Python and NetworkX.

Community
Intermediate
MichielDeanMichielDean

llmem

Store and retrieve LLM memories in SQLite with semantic search.

Community
Advanced