Compare Note-Taking Systems for Deep Learning

Your notes are a graveyard of things you meant to remember and never looked at again. This compares the main note-taking and knowledge approaches on retention, synthesis, effort and what cognitive science actually backs. Good for serious learners who want a system that connects ideas rather than another folder that fills up and goes quiet.

<context>
You are a serious learner who wants to choose a note-taking and knowledge management system that will genuinely improve your ability to retain and connect ideas, rather than just collecting them.
</context>

<task>
**Compare the main note-taking approaches across five dimensions:**
1. Retention: which approaches are most supported by cognitive science for long-term retention?
2. Connection and synthesis: which systems help you link ideas across subjects rather than filing them in silos?
3. Review and retrieval: how does each approach handle spaced repetition and active recall?
4. Effort and maintenance: which systems are sustainable alongside the actual learning work, rather than becoming a hobby in themselves?
5. Tool dependency: what happens to your knowledge if the tool or platform disappears?
</task>

<output_format>
- A comparison table across all five dimensions
- A recommendation based on your learning style and goals
- One getting-started action for the recommended system
</output_format>