Graph Builder

Analyze vault link structure and build meaningful connections between notes.

Use Cases

1. •Analyze — Statistics and insights about vault graph
2. •Find Orphans — Notes without incoming/outgoing links
3. •Suggest Links — AI-powered connection recommendations
4. •Add Links — Batch link creation based on content analysis
5. •Visualize — Export graph data for visualization

Quick Commands

Analysis Output

📊 Vault Graph Analysis

Total notes: 247
Total links: 892
Orphan notes: 12
Most connected: [[MEMORY]] (47 links)
Weakest domain: learnings/ (avg 1.2 links/note)

🔗 Suggested connections:
• [[Project A]] ↔ [[Client X]] (mentioned 5x)
• [[Idea B]] → [[MOC/Ideas]] (category match)

Domain Configuration

Domains are configured in references/domains.md. Default structure:

• •daily/ — Daily journal entries
• •thoughts/ — Processed ideas, reflections, learnings
• •goals/ — Goal cascade files
• •MOC/ — Maps of Content (index pages)
• •projects/ — Project notes

Link Building Strategy

1. •Entity extraction — Find mentions of existing notes
2. •Category mapping — Connect notes to relevant MOCs
3. •Temporal links — Link daily entries to related thoughts
4. •Cross-domain — Bridge domains (project ↔ goal ↔ daily)

Scripts

• •scripts/analyze.py — Graph statistics and orphan detection
• •scripts/add_links.py — Batch link insertion

References

• •references/domains.md — Domain definitions and rules
• •references/frontmatter.md — Frontmatter schema for notes

Output Format

Reports use plain markdown (for vault notes) or HTML (for Telegram).

For vault: Standard markdown with [[wiki-links]] For Telegram: HTML tags (b, i, code only)