My notes were dying in folders, so I built an infinite canvas that keeps them arguing

Описание и применение

Кнопум заменяет папки интерактивной плоскостью, где источники и их взаимосвязи сохраняются как карточки, а AI‑инструменты работают локально, обеспечивая актуальность ссылок и прозрачность происхождения данных.

Задача

Desktop folders fail to capture the evolving, interrelated state of knowledge, causing loss of context and stale references.

Результат

Knovum replaces folder-based storage with an interactive canvas that preserves source relationships, tracks citation validity, and integrates local AI tools, reducing stale references and improving knowledge workflow.

Рабочий процесс

• 1. Import documents, clips, and media as cards onto the canvas.
• 2. Group, tag, and create named views for different lenses.
• 3. Use typed knowledge objects (Concept, Question, Claim, Evidence, Experiment, Decision) and relation kinds to model relationships.
• 4. Run AI tasks (transcription, summarization, etc.) locally via the Task Center.
• 5. Generate derivations that record inputs, revisions, and model used.
• 6. Monitor Knowledge Health for stale evidence or unsupported claims.
• 7. Export or share a .knovumspace file containing all content and relations.

Доказательства

I counted my desktop folders last month. Forty-three. The naming scheme had evolved from "research" to "research-sorted" to "research-sorted-v2" to "final-actual".

Источник

Folders have no slot for any of that. Folders have "inside". They don't have "between".

Источник

I built Knovum: a local-first desktop knowledge workspace where your sources sit on one infinite canvas, and the relationships between them are first-class citizens.

Источник

Knovum ships six typed knowledge objects — Concept, Question, Claim, Evidence, Experiment, Decision — connected by ten relation kinds: supports, contradicts, depends-on, supersedes, answers, derives-from, and friends.

Источник

Knowledge Health continuously reports claims with no evidence, accepted-but-contradicted claims, evidence whose source document changed under it, open questions that already have answers.

Источник

Ask answers from the sources you select, and every citation keeps its location: a page in a PDF, a time range in a recording, a heading and character span in a note, a line range in code.

Источник

All running locally after a one-time model download, SHA-256-pinned weights, Metal-accelerated on Apple Silicon.

Источник

Select material, run an intent — generate document, image, or video; remove background; split layers; add subtitles. Every result records its derivation: the inputs and their revisions, the action that ran, the engine or model that executed it.

Источник