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Second Brain · Knowledge Hub

A memory for learning and building.

My Second Brain is an Obsidian-based system for research notes, project decisions, and reusable context. Knowledge Hub makes those connections visible and gives me another way to work with what I have learned.

Seeing the connections.

A graph gives individual notes a wider context: related subjects, project clusters, and connections worth following.

An 11-second, silent screen recording of my Knowledge Hub graph. Use the playback controls to start, pause, or replay it.

Visual description

The recording shows a dark Knowledge Hub interface with a file browser on the left and a three-dimensional network of colored nodes in the main view. Each node represents a note; lines connect linked notes. The clusters reveal how research, projects, and working knowledge relate to one another.

A loop of research, practice, and recall.

The value comes from returning to a note when it helps answer a question or move a project forward.

For my own thinking

I keep research, observations, and project decisions in linked notes. A note can connect a source to an experiment, record why I made a choice, or preserve a useful technique. Those links make earlier work easier to find when a related problem comes up.

For an AI agent

Relevant notes can become context for a task: what a project is trying to do, which sources matter, and what has already been decided. An agent can help draft a summary or retrieve related material; I can return to the source notes to check the answer.

Illustrative workflow

Preparing a web-mapping exercise

  1. Capture.

    Save a public dataset’s source, fields, and limitations in a research note.

  2. Connect.

    Link it to notes on web maps, coordinate systems, and the planned lesson.

  3. Retrieve.

    Ask for the relevant material and follow the citations back to the notes.

  4. Apply and record.

    Build the exercise, check the result, and add the decisions that will help next time.

This example explains the workflow; it is separate from the graph recording above.

The vault and the interface.

Knowledge Hub is a window onto a collection of Markdown files. Opening its public website does not open my notes or connect a visitor’s folder.

Your files, on your machine

The dashboard can connect through a local server or a supported browser’s folder picker. Notes remain in the selected local vault. The reader, graph, task board, and search provide different views of the same material; editing features write changes back to those files.

Choose how answers are made

Retrieval runs locally. The Ask feature can return a local digest or use a configured local model. If a user chooses a cloud answer provider, the question and retrieved snippets are sent to that provider. That optional setting changes where part of the answer workflow runs.

Make knowledge useful again.

Explore the public interface, read the workflow guide, or talk with me about a knowledge system for your own work.

Project screenshot