Use Case Guide · v1.7.2

VEKTOR for Personal Knowledge Work

Notes scattered across apps, ideas with no connections between them, and AI tools that forget your context the moment the chat ends. VEKTOR gives your own research, writing, and thinking a private, local-first memory graph — nothing leaves your machine.

The problem

Most note apps store text. They don't know that the idea you wrote on Tuesday contradicts the one from last month, or that three separate notes are actually the same insight restated. Everything accumulates; nothing gets distilled.

How it works

Capture

Quick capture from the CLI or the VEKTOR Notes app — ideas go in fast, at the moment you have them, without breaking flow.

bash

vektor jot   # stores a quick idea to memory at importance 4

Auto-wiring

Every new note is compared against your existing graph. The Zettelkasten engine auto-wires SUPPORTS, EXTENDS, CONTRASTS, and PREREQUISITE edges — so related thinking is connected automatically, not by manually tagging and re-tagging.

Compression

While you're idle, the REM dream cycle runs a 7-phase compression pass — up to 50 scattered fragments distilled into a single core insight, with noise dropped and signal kept.

In practice

A week of scattered notes on the same underlying idea collapses into one weighted, well-connected node — instead of 50 raw fragments you'd have to manually sift through later.

VEKTOR Notes (Android)

A free, private companion app built on the same Slipstream engine:

JOT — capture thoughts with ghost-text assist
CHAT — search your own notes conversationally
GRAPH — visualise how your ideas connect

Everything stays on-device. See the VEKTOR Notes page for details.

Privacy

This is the same local-first guarantee as the SDK — your notes are a SQLite file on your own machine, not a server you're trusting with your unfinished thinking.

VEKTOR vs. typical note apps

	Typical note app	VEKTOR
Storage	Cloud-synced	Local SQLite, yours forever
Connections between notes	Manual tags/links	Auto-wired graph edges
Over time	Raw accumulation	REM-compressed into core insights
Search	Keyword match	Semantic + graph-aware recall

Next steps

Try the free VEKTOR Notes app, or install the full SDK via the Quickstart guide for CLI-based capture and recall.