graph-builder

To find orphan files and build semantic links in an Obsidian vault, you can run deterministic scripts alongside agent-based semantic linking to identify isolated notes and suggest new connections across Personal, Business, and Projects domains.

Knowledge graph analysis for note organization is the process of evaluating vault interconnectedness by generating statistics on notes and links, identifying orphaned files, and updating frontmatter to establish a more robust network of insights.

Yes, knowledge graph building requires Python scripts to run deterministic vault analysis and agent logic for semantic linking, ensuring accurate identification of orphan files and frontmatter updates across your domains.

The best way to organize notes across Personal, Business, and Projects domains is to use domain organization logic that proposes semantic links based on content and structure, maintaining clear boundaries while preventing valuable insights from remaining isolated.

To automate link suggestions after adding new notes to your vault, run an agent-based semantic linking process that scans the new content and proposes connections, ensuring no newly added insights are lost in isolation.