My PKM System
Personal Knowledge Management
This note describes my complete system for capturing, organizing, and retrieving knowledge. It builds on the principles from How I Take Notes.
System Overview
graph TB subgraph Capture A[Inbox] --> B[Quick Notes] end subgraph Process B --> C[Refine] C --> D[Link] end subgraph Organize D --> E[Projects] D --> F[Areas] D --> G[Resources] D --> G[Archive] end subgraph Retrieve E --> H[Search] F --> H G --> H H --> I[Output] end
PARA Method
I use Tiago Forte’s PARA method:
- Projects — Short-term efforts with deadlines
- Areas — Long-term responsibilities
- Resources — Topics of ongoing interest
- Archive — Inactive items from above
Folder Structure
My Organization
📁 Vault ├── 📁 Inbox (unprocessed captures) ├── 📁 Projects │ ├── 📁 Quartz Blog Setup │ ├── 📁 Smart Home Automation │ └── 📁 Photography Portfolio ├── 📁 Areas │ ├── 📁 Health & Fitness │ ├── 📁 Finance │ └── 📁 Career ├── 📁 Resources │ ├── 📁 Web Development │ ├── 📁 Machine Learning │ └── 📁 Psychology └── 📁 Archive
Tags System
Tagging Strategy
Use tags for status and categories, not for linking.
Status Tags
| Tag | Meaning |
|---|---|
#status/seed | New, unprocessed |
#status/budding | Partially developed |
#status/evergreen | Fully refined |
#status/archived | No longer maintained |
Content Tags
| Tag | Use For |
|---|---|
#type/concept | Definitions and explanations |
#type/process | How-to guides |
#type/reference | Factual information |
#type/insight | Personal observations |
Example
This note is tagged:
#type/reference #status/evergreen
Linking Strategy
Links > Tags
Tags are useful, but links create real knowledge connections.
Link Types
# 1. Direct reference
See [[Web Development Basics]] for more.
# 2. With alias
The [[Book Notes - Thinking Fast and Slow|Kahneman book]] changed my perspective.
# 3. Section link
Check [[Healthy Habits#Sleep Hygiene]] for sleep tips.
# 4. Block reference (advanced)
> [!quote] "Important quote" ^quote1
>
> Referencing [[Note#^quote1]] here.Search Strategies
Finding Things
- Omnisearch — Full-text search across all notes
- Graph view — Visual exploration of connections
- Backlinks — See what references a note
- Tags — Filter by category or status
- Folders — Browse by area or project
Integration with Tools
My Tech Stack
- Quartz Blog Setup — Publishing to web
- Git Version Control — Version control
- Docker Containerization — Consistent environment
- Web Development Basics — Building tools
Automation
# Example: Auto-tag new notes
triggers:
- path: "inbox/"
action: add_tag
tag: "status/seed"
# Example: Link suggestions
features:
- link_suggestions:
enabled: true
min_connections: 2Review Process
Weekly Review
- Process inbox (15 min)
- Review new connections (10 min)
- Update project notes (20 min)
- Clean up tags (5 min)
Monthly Review
- Review all “seed” notes
- Promote developed notes to “evergreen”
- Archive completed projects
- Update note-taking process
Metrics
System Health
I track these metrics monthly:
| Metric | Target | Current |
|---|---|---|
| Notes created | 20/month | 25 |
| Notes linked | >80% | 85% |
| Evergreen notes | 10/month | 12 |
| Graph density | >2.0 | 2.3 |
| Search success | >90% | 92% |
Warning Signs
- Many unlinked notes
- Lots of “seed” status notes
- Low graph connectivity
- Can’t find notes you know exist
Lessons Learned
Key Insights
- Start simple — Complexity emerges naturally
- Link aggressively — More links = more value
- Review regularly — Maintenance is essential
- Output matters — Use notes to create things
- Be patient — PKM compounds over time
Common Failures
- Over-engineering the system
- Spending more time organizing than using
- Not linking notes
- Abandoning the system after a few weeks
Related Systems
Inspiration
- Zettelkasten method — How I Take Notes > The Zettelkasten Method
- PARA method — Tiago Forte’s organizational framework
- Building a Second Brain — Comprehensive PKM course
- Evergreen notes — Andy Matuschak’s concept
See Also
- How I Take Notes — Note-taking techniques
- Book Notes - Thinking Fast and Slow — Example of a literature note
- Healthy Habits — Applying PKM to personal development
- Machine Learning Intro — Using PKM for learning