sam-4screen-desktop 2026-9-15:14:48:7
This commit is contained in:
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---
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created: 2026-09-15 14:38
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modified: 2026-09-15 14:38
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type: note
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tags: []
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aliases: []
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---
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# [[Obsidian Vault Corodination System]]
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You’re describing a **vault coordination system**: a structured layer that understands the vault, applies organization rules, and exposes the same capabilities to a UI, APIs, and AI agents.
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The key design decision is:
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> A note should have one canonical identity, but it may belong to many areas, projects, subjects, and indexes.
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That avoids duplicating notes merely because they appear in multiple parts of your system.
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---
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# 1. Recommended conceptual model
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Treat the vault as having three layers:
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## A. Canonical content
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These are the actual notes:
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- `Vorta.md`
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- `Network Topology.md`
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- `Garage Backup.md`
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- `AI Resume.md`
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- `Offsite S3 Backup.md`
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Each note has:
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- A stable ID
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- A title
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- A type
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- Content
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- Frontmatter/properties
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- Links to other notes
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- Optional files and attachments
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The canonical note should normally exist only once.
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## B. Classification and relationships
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A note can have multiple relationships.
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For example:
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```text
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Vorta
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├── belongs to: Tools / Software / Backup
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├── supports: Garage Backup
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├── supports: Offsite S3 Backup
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├── related to: Backup Strategy
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├── used by: Home Lab
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└── documented in: System Tools
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```
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This is more flexible than forcing every note into one folder.
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Useful relationship types include:
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- `member_of`
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- `supports`
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- `depends_on`
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- `related_to`
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- `part_of`
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- `used_by`
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- `documents`
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- `replaces`
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- `stored_on`
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- `backup_of`
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## C. Navigation notes
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These are Obsidian notes that provide human-friendly organization:
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- `TABLE OF CONTENTS.md`
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- `PROJECTS.md`
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- `AREAS.md`
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- `PERSONAL FAMILY.md`
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- `TOOLS SOFTWARE WEBUI.md`
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- `DEV OPS.md`
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They can contain links to canonical notes.
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For example:
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```markdown
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# Tools / Software / Web UI
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- [[Obsidian]]
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- [[Grafana]]
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- [[Vorta]]
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- [[Backup Dashboard]]
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```
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This means a note can appear in several navigation notes without being copied.
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---
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# 2. Hierarchy versus classification
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Your example exposes an important distinction.
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You may want:
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```text
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PROJECTS
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└── Tools / Software / Web UI
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```
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But you may also want:
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```text
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AREAS
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└── Dev Ops
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└── Vorta
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```
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This is not really a single hierarchy. It is a **multi-dimensional classification system**.
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A better model would allow:
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```yaml
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---
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type: tool
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title: Vorta
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status: active
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classifications:
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- tools/software/backup
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- tools/software/web-ui
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- areas/dev-ops
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related_projects:
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- garage-backup
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- offsite-s3-backup
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---
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```
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You could represent this using:
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1. Frontmatter properties
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2. Wiki links
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3. Database relationships
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4. Generated index notes
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The database can store these relationships in a normalized form, while Obsidian displays them as links.
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---
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# 3. Suggested object types
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You do not need to start with dozens of types. A small set should cover most of your needs.
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## Core types
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### Area
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An ongoing responsibility or domain.
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Examples:
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- Dev Ops
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- Home Lab
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- Personal Family
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- Finance
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- Health
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- Household
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Areas do not have a defined completion date.
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### Project
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A result with a desired outcome.
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Examples:
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- AI Resume
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- Garage Backup
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- Migrate Home Lab
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- Build Backup Dashboard
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Projects can have:
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- Status
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- Owner
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- Start date
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- Target date
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- Tasks
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- Related areas
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- Related tools
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### Tool
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A piece of software, hardware, service, or utility.
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Examples:
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- Vorta
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- Obsidian
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- Grafana
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- S3
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- Proxmox
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- Backup scripts
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### System
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A larger operational system.
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Examples:
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- Home Lab
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- Backup System
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- Network Infrastructure
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- Media System
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### Resource or Subject
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A topic, concept, or collection of reference information.
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Examples:
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- Network Topology
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- Hard Drives
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- Linux
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- Obsidian
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- S3 Storage
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### Asset
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A physical or logical thing that needs tracking.
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Examples:
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- NAS
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- Server
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- Hard drive
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- Router
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- Garage storage device
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- Cloud bucket
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### Index or Collection
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A navigation or overview note.
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Examples:
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- Table of Contents
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- Projects
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- Areas
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- System Tools
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- Web UI Tools
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These are not necessarily “content” themselves. They are curated views over other objects.
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---
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# 4. The database should be an index, not necessarily the source of truth
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For an Obsidian-centered system, I would recommend:
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> Markdown files remain the source of truth. The database is a searchable, relational index and coordination layer.
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That gives you the benefits of a database without making the vault dependent on it.
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The database can store:
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- File paths
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- Note IDs
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- Titles
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- Types
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- Frontmatter
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- Tags
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- Headings
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- Outgoing links
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- Backlinks
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- Relationships
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- Tasks
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- Modification times
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- Content hashes
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- Extracted summaries
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- Embeddings, if later needed
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- Audit history
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- Rule results
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- Validation warnings
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The tool can rescan or rebuild the database from the vault if necessary.
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## Example conceptual schema
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```text
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notes
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-----
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id
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path
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title
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type
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status
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created_at
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modified_at
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content_hash
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properties
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----------
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note_id
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key
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value
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relationships
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-------------
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source_note_id
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relationship_type
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target_note_id
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tags
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----
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note_id
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tag
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headings
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--------
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note_id
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heading
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level
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links
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-----
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source_note_id
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target_note_id
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link_text
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tasks
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-----
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note_id
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task_text
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status
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due_date
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```
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This structure gives the tool a broad understanding of the vault without reading every full document on every request.
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---
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# 5. SQLite, DuckDB, or PostgreSQL?
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## SQLite — best initial choice
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SQLite is probably the best fit for your first version.
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Advantages:
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- Local and simple
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- No database server to operate
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- Excellent for CRUD
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- Good indexing and full-text search
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- Supports transactions
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- Easy to back up
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- Works well with a single local application
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- Suitable for thousands or tens of thousands of notes
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- Easy to embed in a desktop or local web application
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SQLite can handle:
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- Note metadata
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- Relationships
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- Search indexes
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- Rules
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- Audit records
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- Tasks
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- Graph data
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- Full-text search using FTS5
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For your use case, the database is likely not going to be too large. The vault content may be large, but the metadata and indexes are still very manageable.
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## DuckDB — excellent for analysis, less ideal as the main application database
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DuckDB is particularly good for:
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- Reporting
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- Large analytical queries
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- Activity analysis
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- Statistics
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- Historical data
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- Exporting data to Parquet
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- Exploring vault structure
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Examples:
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- Which areas have not been updated recently?
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- Which projects have the most linked notes?
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- Which tools have no documentation?
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- Which systems have no backup relationship?
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- How many notes changed each month?
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However, DuckDB is not my first choice for the primary CRUD coordination database. SQLite has a more natural role as an application database.
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You could eventually use both:
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```text
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SQLite: operational application database
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DuckDB: optional analytics/reporting database
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```
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But do not begin with both unless you already need analytical reporting.
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## PostgreSQL — useful if the system grows into a shared service
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PostgreSQL becomes attractive when you need:
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- Multiple concurrent users
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- Multiple application services
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- Remote access
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- More complex permissions
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- Many external integrations
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- Large-scale event history
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- Vector search extensions
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- Background workers and queues
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For a local, single-user home-lab system, it may add operational overhead without giving you much benefit initially.
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## Recommendation
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Start with:
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```text
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Markdown vault: source of truth
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SQLite: metadata, relationships, search, rules, audit
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Optional later:
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DuckDB: analytics
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PostgreSQL: only if the system becomes a multi-service platform
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```
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---
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# 6. How Graphify fits
|
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Graphify should be treated primarily as a **visual exploration and discovery layer**, not as the system’s main database.
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Its likely strengths are:
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|
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- Showing connections between notes
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- Making clusters visible
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- Revealing isolated notes
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- Showing heavily connected notes
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- Helping discover unexpected relationships
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- Providing a visual way to navigate the vault
|
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|
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Your coordination tool can complement Graphify by maintaining explicit relationships such as:
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|
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```text
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Vorta --supports--> Garage Backup
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Vorta --supports--> Offsite S3 Backup
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Garage Backup --uses--> S3
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Garage Backup --protects--> Home Lab
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```
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Graphify can then visualize the links already present in the vault.
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## Make relationships visible in Obsidian
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||||
|
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The tool should write relationships into standard Obsidian-compatible formats:
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|
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### Wiki links
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||||
|
||||
```markdown
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## Related Systems
|
||||
|
||||
- Supports: [[Garage Backup]]
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||||
- Supports: [[Offsite S3 Backup]]
|
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- Used by: [[Home Lab]]
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```
|
||||
|
||||
### Frontmatter
|
||||
|
||||
```yaml
|
||||
---
|
||||
type: tool
|
||||
supports:
|
||||
- "[[Garage Backup]]"
|
||||
- "[[Offsite S3 Backup]]"
|
||||
used_by:
|
||||
- "[[Home Lab]]"
|
||||
---
|
||||
```
|
||||
|
||||
### Dataview-style fields, if you use Dataview
|
||||
|
||||
```yaml
|
||||
---
|
||||
type: tool
|
||||
area:
|
||||
- "[[Dev Ops]]"
|
||||
category:
|
||||
- "[[Tools Software WebUI]]"
|
||||
---
|
||||
```
|
||||
|
||||
The exact format depends on the Obsidian plugins you use, but the principle is important:
|
||||
|
||||
> The relationships should remain understandable in ordinary Markdown, even if your custom tool is unavailable.
|
||||
|
||||
## Graphify should not be the only representation
|
||||
|
||||
A visual graph is useful, but it is not ideal for:
|
||||
|
||||
- Enforcing required fields
|
||||
- Finding stale notes
|
||||
- Applying classification rules
|
||||
- Maintaining canonical identities
|
||||
- Managing projects
|
||||
- Generating indexes
|
||||
- Auditing changes
|
||||
|
||||
Your tool can provide the structured intelligence, while Graphify provides visual exploration.
|
||||
|
||||
---
|
||||
|
||||
# 7. Rules and automatic placement
|
||||
|
||||
You want rules such as:
|
||||
|
||||
> If something is a software tool with a web interface, include it under Tools / Software / Web UI.
|
||||
|
||||
And:
|
||||
|
||||
> If it relates to operational maintenance, include it under Areas / Dev Ops.
|
||||
|
||||
These should be modeled as **classification rules**, not hardcoded folder logic.
|
||||
|
||||
## Example rule
|
||||
|
||||
```yaml
|
||||
name: classify-web-tools
|
||||
when:
|
||||
type: tool
|
||||
properties:
|
||||
interface: web
|
||||
then:
|
||||
add_membership:
|
||||
- tools/software/web-ui
|
||||
```
|
||||
|
||||
Another:
|
||||
|
||||
```yaml
|
||||
name: classify-devops-tools
|
||||
when:
|
||||
type: tool
|
||||
tags:
|
||||
includes: devops
|
||||
OR:
|
||||
relationships:
|
||||
includes: operational-system
|
||||
then:
|
||||
add_membership:
|
||||
- areas/dev-ops
|
||||
```
|
||||
|
||||
A note can match multiple rules.
|
||||
|
||||
## Rule results should be explainable
|
||||
|
||||
The system should be able to say:
|
||||
|
||||
```text
|
||||
Vorta appears under:
|
||||
- Tools / Software / Backup
|
||||
Reason: type = tool, category = backup
|
||||
- Tools / Software / Web UI
|
||||
Reason: interface = web
|
||||
- Areas / Dev Ops
|
||||
Reason: supports operational backup systems
|
||||
```
|
||||
|
||||
This is particularly important when AI agents are creating or modifying notes.
|
||||
|
||||
## Manual overrides
|
||||
|
||||
Automatic rules should not remove a deliberate human classification without confirmation.
|
||||
|
||||
Use three categories:
|
||||
|
||||
- `automatic`
|
||||
- `manual`
|
||||
- `excluded`
|
||||
|
||||
For example:
|
||||
|
||||
```text
|
||||
Vorta → Areas / Dev Ops
|
||||
source: manual
|
||||
```
|
||||
|
||||
or:
|
||||
|
||||
```text
|
||||
Vorta → Personal / Miscellaneous
|
||||
source: excluded
|
||||
```
|
||||
|
||||
This lets the system learn your preferences without becoming unpredictable.
|
||||
|
||||
---
|
||||
|
||||
# 8. Generated indexes versus hand-maintained indexes
|
||||
|
||||
You have two reasonable options.
|
||||
|
||||
## Option A: Fully generated indexes
|
||||
|
||||
The tool regenerates:
|
||||
|
||||
```text
|
||||
TOOLS SOFTWARE WEBUI.md
|
||||
```
|
||||
|
||||
from database memberships.
|
||||
|
||||
Advantages:
|
||||
|
||||
- Always consistent
|
||||
- No stale links
|
||||
- Easy for agents
|
||||
- Minimal manual work
|
||||
|
||||
Disadvantages:
|
||||
|
||||
- Manual additions may be overwritten
|
||||
- Less room for commentary
|
||||
- Generated files can feel rigid
|
||||
|
||||
## Option B: Hybrid indexes
|
||||
|
||||
The tool manages a marked section:
|
||||
|
||||
```markdown
|
||||
# Tools / Software / Web UI
|
||||
|
||||
This collection contains tools with a browser-based interface.
|
||||
|
||||
<!-- BEGIN GENERATED CONTENT -->
|
||||
|
||||
- [[Obsidian]]
|
||||
- [[Grafana]]
|
||||
- [[Vorta]]
|
||||
|
||||
<!-- END GENERATED CONTENT -->
|
||||
|
||||
## Notes
|
||||
|
||||
Personal commentary goes here.
|
||||
```
|
||||
|
||||
This is probably the best option.
|
||||
|
||||
The system controls the generated portion while preserving your explanation and notes.
|
||||
|
||||
---
|
||||
|
||||
# 9. CRUD design
|
||||
|
||||
The tool should expose CRUD at the level of meaningful vault objects, not just raw files.
|
||||
|
||||
## Create
|
||||
|
||||
Examples:
|
||||
|
||||
- Create a project from a template
|
||||
- Add a new tool
|
||||
- Add a machine
|
||||
- Add a backup target
|
||||
- Add a relationship
|
||||
- Add an area
|
||||
- Add a subject
|
||||
|
||||
The tool should ask or infer:
|
||||
|
||||
- Type
|
||||
- Name
|
||||
- Location
|
||||
- Required properties
|
||||
- Related objects
|
||||
- Applicable rules
|
||||
- Template
|
||||
|
||||
## Read
|
||||
|
||||
Useful read operations include:
|
||||
|
||||
- Get a note
|
||||
- Search the vault
|
||||
- Search by type
|
||||
- Find all notes in an area
|
||||
- Find all projects using a tool
|
||||
- Find systems without backups
|
||||
- Get a dependency tree
|
||||
- Get a graph neighborhood
|
||||
- Get recently changed notes
|
||||
- Get stale or incomplete notes
|
||||
|
||||
## Update
|
||||
|
||||
Updates should be property-aware where possible.
|
||||
|
||||
For example:
|
||||
|
||||
```text
|
||||
Update Vorta:
|
||||
- Add membership: Areas / Dev Ops
|
||||
- Add relationship: supports → Garage Backup
|
||||
- Set status: active
|
||||
- Add official URL
|
||||
```
|
||||
|
||||
This is safer than asking an agent to rewrite the entire Markdown document.
|
||||
|
||||
## Delete
|
||||
|
||||
Deletion should be treated carefully:
|
||||
|
||||
1. Identify the note
|
||||
2. Show inbound links
|
||||
3. Check dependent relationships
|
||||
4. Move to a trash/archive location
|
||||
5. Record the operation
|
||||
6. Optionally clean or preserve links
|
||||
|
||||
For important notes, “archive” is often safer than immediate deletion.
|
||||
|
||||
---
|
||||
|
||||
# 10. Broad vault understanding
|
||||
|
||||
The tool should maintain several levels of understanding.
|
||||
|
||||
## Level 1: Structural understanding
|
||||
|
||||
Fast and reliable:
|
||||
|
||||
- Files
|
||||
- Paths
|
||||
- Titles
|
||||
- Types
|
||||
- Properties
|
||||
- Tags
|
||||
- Links
|
||||
- Headings
|
||||
- Tasks
|
||||
- Modification dates
|
||||
|
||||
## Level 2: Relational understanding
|
||||
|
||||
Derived from explicit links and rules:
|
||||
|
||||
- What supports what
|
||||
- What belongs to which area
|
||||
- What projects use a tool
|
||||
- Which machines store which backups
|
||||
- Which systems have dependencies
|
||||
|
||||
## Level 3: Semantic understanding
|
||||
|
||||
Optional AI-generated information:
|
||||
|
||||
- Short summary
|
||||
- Key topics
|
||||
- Important entities
|
||||
- Suggested relationships
|
||||
- Possible duplicate notes
|
||||
- Missing documentation
|
||||
- Confidence score
|
||||
|
||||
Do not rely only on Level 3. AI summaries can become stale or incorrect. Store them as derived metadata, and allow regeneration.
|
||||
|
||||
## Context retrieval for agents
|
||||
|
||||
Rather than giving an AI the whole vault, provide context in layers:
|
||||
|
||||
1. The requested note
|
||||
2. Direct relationships
|
||||
3. Parent areas and projects
|
||||
4. Relevant index notes
|
||||
5. Related notes selected by search
|
||||
6. Optional semantic matches
|
||||
|
||||
For example, an agent asking about Vorta might receive:
|
||||
|
||||
```text
|
||||
Canonical note: Vorta
|
||||
Type: Tool
|
||||
Memberships:
|
||||
- Tools / Software / Backup
|
||||
- Tools / Software / Web UI
|
||||
- Areas / Dev Ops
|
||||
|
||||
Related:
|
||||
- Garage Backup
|
||||
- Offsite S3 Backup
|
||||
- Home Lab
|
||||
- Backup Strategy
|
||||
```
|
||||
|
||||
This gives the agent a useful overview without loading the entire vault.
|
||||
|
||||
---
|
||||
|
||||
# 11. Suggested user interface
|
||||
|
||||
The interface could have the following sections.
|
||||
|
||||
## Dashboard
|
||||
|
||||
- Recently changed notes
|
||||
- Unclassified notes
|
||||
- Broken links
|
||||
- Duplicate candidates
|
||||
- Projects needing updates
|
||||
- Systems without backups
|
||||
- Notes with missing required fields
|
||||
|
||||
## Objects
|
||||
|
||||
Browse by type:
|
||||
|
||||
- Areas
|
||||
- Projects
|
||||
- Tools
|
||||
- Systems
|
||||
- Assets
|
||||
- Subjects
|
||||
- Indexes
|
||||
|
||||
## Classification editor
|
||||
|
||||
For each note:
|
||||
|
||||
```text
|
||||
Vorta
|
||||
|
||||
Type:
|
||||
[Tool]
|
||||
|
||||
Members:
|
||||
[x] Tools / Software / Backup
|
||||
[x] Tools / Software / Web UI
|
||||
[x] Areas / Dev Ops
|
||||
|
||||
Relationships:
|
||||
Supports:
|
||||
[x] Garage Backup
|
||||
[x] Offsite S3 Backup
|
||||
|
||||
Rules matched:
|
||||
- Web interface tool
|
||||
- Backup software
|
||||
- Dev Ops operational tool
|
||||
```
|
||||
|
||||
## Rule editor
|
||||
|
||||
Allow rules such as:
|
||||
|
||||
- If type is `tool`, require `status`
|
||||
- If type is `asset`, require `location`
|
||||
- If a project is active, require `next_action`
|
||||
- If a backup system exists, require a retention policy
|
||||
- If a tool is in Dev Ops, require an operational note
|
||||
|
||||
## Vault health
|
||||
|
||||
- Orphaned notes
|
||||
- Missing metadata
|
||||
- Invalid links
|
||||
- Duplicate titles
|
||||
- Empty project notes
|
||||
- Unused tags
|
||||
- Notes not classified into any area
|
||||
- Notes classified into too many unrelated categories
|
||||
|
||||
---
|
||||
|
||||
# 12. Proposed initial architecture
|
||||
|
||||
A practical first version could be:
|
||||
|
||||
```text
|
||||
Obsidian vault
|
||||
↓
|
||||
Vault scanner/parser
|
||||
↓
|
||||
SQLite index
|
||||
↓
|
||||
Classification and relationship engine
|
||||
↓
|
||||
UI + CRUD service
|
||||
↓
|
||||
Generated navigation notes
|
||||
```
|
||||
|
||||
Later:
|
||||
|
||||
```text
|
||||
AI agents / n8n / LangGraph / coding agents
|
||||
↓
|
||||
API or MCP layer
|
||||
↓
|
||||
Coordination service
|
||||
```
|
||||
|
||||
The API and MCP should expose domain operations such as:
|
||||
|
||||
```text
|
||||
create_project()
|
||||
create_tool()
|
||||
find_notes()
|
||||
get_context()
|
||||
add_relationship()
|
||||
classify_note()
|
||||
update_properties()
|
||||
generate_index()
|
||||
validate_vault()
|
||||
archive_note()
|
||||
```
|
||||
|
||||
This is preferable to exposing only low-level operations like:
|
||||
|
||||
```text
|
||||
read_file()
|
||||
write_file()
|
||||
delete_file()
|
||||
```
|
||||
|
||||
Low-level file operations can still exist, but domain-level operations make the system much safer and easier for AI agents to use.
|
||||
|
||||
---
|
||||
|
||||
# 13. Recommended first release
|
||||
|
||||
Keep the first version focused:
|
||||
|
||||
1. Scan the vault
|
||||
2. Build a SQLite index
|
||||
3. Parse frontmatter, tags, headings, and links
|
||||
4. Define note types
|
||||
5. Create and edit notes through templates
|
||||
6. Store memberships and relationships
|
||||
7. Generate or update index notes
|
||||
8. Add full-text search
|
||||
9. Add rule-based classification
|
||||
10. Provide a basic UI
|
||||
11. Add API/MCP after the domain model is stable
|
||||
|
||||
Do not begin with embeddings, complex graph databases, or a full autonomous AI organizer. First make the structured model reliable.
|
||||
|
||||
## Overall recommendation
|
||||
|
||||
Use:
|
||||
|
||||
- **Markdown and Obsidian links** for durable human-readable content
|
||||
- **SQLite** for the operational index and relationship model
|
||||
- **Rules** for repeatable classification
|
||||
- **Generated/hybrid index notes** for navigation
|
||||
- **Graphify** for visual exploration of the resulting links
|
||||
- **API/MCP** as a domain-level interface for agents
|
||||
- **Optional DuckDB later** for analytics and vault reporting
|
||||
|
||||
The central principle should be:
|
||||
|
||||
> One canonical note, many meaningful relationships, multiple generated views.copy
|
||||
|
||||
Reference in New Issue
Block a user