Introduction to Logseq

Logseq is positioned as a free, open-source note-taking system that turns plain Markdown files into an interconnected “personal wiki,” letting users build a searchable knowledge base and manage tasks from the same place. After creating a new graph (Logseq’s term for a workspace), the app generates a front end over a folder of files, so writing notes is effectively writing documents—while the interface adds linking, navigation, and structure.

The workflow starts with daily journal pages. Users can type entries in an editor and then use simple syntax—like double-tapping square brackets—to create linked fields that automatically become pages. From there, the system grows outward: a journal entry can link to a “person” page, a “topic” page, and any other concept the user chooses. Adding tags (for example, tagging a topic as “books”) makes those pages easier to filter and revisit later. The result is less a collection of isolated notes and more a web of relationships that can be clicked through like a personal wiki.

Beyond linking, Logseq supports knowledge management through graph views and queries. A “view graph” option surfaces relationships among nodes, while built-in query functionality (invoked via a slash command) can generate dynamic lists such as a to-do dashboard. Tasks can be created in the journal using action-oriented entries, then surfaced on a landing page (like a “home” page) via queries. Marking items as done updates the underlying notes without losing the historical record.

The transcript also highlights how Logseq can scale from a simple personal workflow into a richer, more structured knowledge base. After copying notes from an existing database into the new graph folder, the interface immediately reflects the imported content as navigable pages and linked properties. An example graph includes book-related notes: quotes, ratings, authors, and recommendations become fields that can be clicked to filter related items (such as all books rated “10”). The same approach applies to reading reflections and metadata like who recommended a book.

A key theme is serendipity with structure. Tags such as “books” and earlier-defined topics allow users to cycle through related material, discovering connections either organically or through more deliberate navigation. The transcript compares Logseq to Rome Research as an open-source alternative, and also frames collaboration as a potential advantage: shared knowledge bases could be built by different people within the same institution.

Overall, Logseq is presented as a practical “second brain” tool: start with journals and links, let tags and queries accumulate into a living knowledge graph, and use the same system for reference, reflection, and task management. It’s free and open-source, with an optional paid contribution mentioned as a way to support ongoing development.