Personal Knowledge Management System
A web-based system for organizing, connecting, and exploring personal knowledge using graph databases and AI-powered insights.
A comprehensive system for managing personal knowledge that goes beyond simple note-taking to create an interconnected web of ideas, insights, and discoveries.
The Problem
Traditional note-taking apps treat information as isolated documents. But knowledge isn't hierarchical—it's networked. Ideas connect across domains, insights build on previous insights, and the most valuable discoveries often happen at the intersection of different areas of thinking.
The Solution
This system uses a graph database to model knowledge as a network of interconnected concepts, allowing for:
- Bidirectional linking: Every connection works both ways
- Contextual discovery: Find related ideas you might not have considered
- Temporal tracking: See how your thinking evolves over time
- AI-powered insights: Surface patterns and connections automatically
Technical Architecture
The backend uses FastAPI and Neo4j to provide a flexible, scalable foundation. The frontend is built with React and TypeScript, offering an intuitive interface for exploring and manipulating the knowledge graph.
Key features include real-time collaboration, version control for ideas, and powerful querying capabilities that let you ask questions like "What ideas have I been thinking about that relate to both systems thinking and software architecture?"
Key Features
- Graph-based knowledge storage
- AI-powered connection discovery
- Real-time collaboration
- Version control for ideas
- Advanced querying and filtering
- Visual graph exploration
- Export to multiple formats
Technical Challenges
- Designing intuitive interfaces for complex graph interactions
- Balancing AI automation with user control
- Ensuring system remains fast as knowledge graphs grow large