Knowlume Documentation

Knowlume

Knowlume is a knowledge distillation system. It turns long sources into compact, inspectable knowledge fragments that a person can filter, save, and export.

Use Knowlume when you need to:

  • process articles, websites, YouTube videos, files, or pasted text;
  • split material into meaningful fragments;
  • score fragments by usefulness signals;
  • select only the fragments worth keeping;
  • export the result to Markdown or automate the flow through APIs.

Production app:

https://app.knowlu.me

Start Here

What Knowlume Produces

The central unit is a fragment: a short, source-backed unit of knowledge. A fragment can be a claim, method, observation, instruction, fact, or synthesis extracted from a larger source.

Each fragment has:

  • a title;
  • source context;
  • Markdown content;
  • scores for reproducibility, originality, and sourcesness;
  • optional rationale explaining why the scores were assigned.

The point is not to summarize everything. The point is to make useful knowledge easy to inspect and reuse.

Documentation Map

This documentation follows a compact structure inspired by the Diátaxis model:

Need Page
Do the first task Quickstart
Understand the product model Core Concepts
Complete the main workflow Fragments, Scores, And Export
Integrate with other systems Integrations And API
Configure your workspace Account And Settings
Fix common problems Troubleshooting

Reader Paths

If you are evaluating Knowlume, read Quickstart, then Core Concepts.

If you are building an integration, start with Integrations And API, then read Fragments, Scores, And Export so your client handles source status and export timing correctly.

If something does not work as expected, use Troubleshooting before changing your source or export settings.

Status

This documentation describes the user-facing Knowlume SaaS workflow as of May 28, 2026. It is intentionally small: seven pages, heavily linked, and optimized for scanning.