Manages persistent personal knowledge through an AI-powered Graphiti knowledge graph, automatically extracting entities, relationships, and supporting semantic search for conversations and documents.
Sponsored
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.
主要功能
012 GitHub stars
02Automatic LLM-powered entity and relationship extraction
03Semantic, investigative, and weighted search capabilities
04Memory decay scoring and automated lifecycle management
05Prometheus metrics and Grafana dashboards for system health
06OSINT/CTI ontology with STIX 2.1 import support
使用案例
01Capture and organize learnings from AI conversations
02Efficiently search and retrieve information using natural language
03Understand relationships between concepts and entities
04Integrate with PAI Memory System for automated knowledge capture
05Track and manage knowledge over time with temporal searches