Madeinoz Knowledge System

About

The Madeinoz Knowledge System is a robust, AI-powered solution for persistent personal knowledge management. It leverages a Graphiti knowledge graph with Neo4j or FalkorDB as a backend to automatically extract entities, map relationships, and track temporal context from various inputs like AI conversations and documents. This system enhances productivity by providing advanced semantic search capabilities, weighted results, and automated memory lifecycle management, ensuring critical information is easily retrievable and continually refined for optimal AI interactions and organizational learning.

Key Features

• 2 GitHub stars
• Automatic LLM-powered entity and relationship extraction
• Semantic, investigative, and weighted search capabilities
• Memory decay scoring and automated lifecycle management
• Prometheus metrics and Grafana dashboards for system health
• OSINT/CTI ontology with STIX 2.1 import support

Use Cases

• Capture and organize learnings from AI conversations
• Efficiently search and retrieve information using natural language
• Understand relationships between concepts and entities
• Integrate with PAI Memory System for automated knowledge capture
• Track and manage knowledge over time with temporal searches