Logseq Working Session: Approaches, potential usecases, plugins, themes, importing notes & more

Logseq becomes usable once notes are moved into the right text structure—then projects, meetings, decisions, and recurring concepts can be referenced across the whole graph instead of being trapped in folders or Word documents. The session centers on a practical workflow for importing messy notes, rebuilding link structure, and choosing a “node-first” mindset (pages as containers; journals as capture) so information stays searchable and filterable.

James’s frustration comes from months of trying Logseq without feeling confident—especially after switching computers and dealing with notes scattered across Microsoft Word and random files. The turning point is a workflow that treats Logseq as a system built on Markdown files: convert existing notes into Markdown, copy them into the correct Logseq folders (notably the pages and journals areas), and refresh Logseq so the graph updates. For journal-style capture, the approach is to copy bullet points into a date-based journal file using the same date naming pattern Logseq uses for daily journals; Logseq then formats the content automatically.

From there, the discussion shifts to the core conceptual hurdle: how to structure “pages vs journals” and how indentation and nesting affect what shows up where. Pages act like stable containers for a project (e.g., “Project Sainsbury’s Drop”), while journals act as a capture stream for meetings and actions. Instead of writing meeting notes inside the project page, the workflow often writes them in the journal and links them back to the project using inline tags or double-bracket links. Indenting determines whether a block belongs under a parent block—so a top-level bullet must be created correctly for it to appear as a reference from the project page.

The session also tackles the “what should the top line be?” problem. The answer is that it doesn’t have to be either “project” or “meeting.” Using combinations like “Project Sainsbury’s Drop” plus “meeting” (and then filtering by one or the other) lets the same note be discoverable from multiple angles. A key example shows meeting notes nested under a date, with actions and outcomes stored as linked blocks, enabling later traversal like a lightweight wiki.

To make the graph feel less bare-bones, the discussion highlights themes and plugins. Developer mode unlocks the plugin/theme menus, and the group recommends community-vetted additions. Examples include a journal calendar for date navigation, a random note entry point for clearing out forgotten content, heat maps for activity density, block-to-page for promoting blocks into pages, and “orphan page” cleanup to keep the database tight by removing empty or unlinked pages. A “mark map” theme supports zoomable visual mapping of the graph, and favorites provide quick entry points.

Finally, the session offers a concrete import method: open old notes in Notepad++ (or similar), convert them into Markdown blocks by adding dash bullets, save them with a .md extension into the Logseq pages folder, then refresh so they appear in the graph. The overall takeaway is that Logseq rewards a deliberate structure—Markdown first, indentation and nesting correct, and node-based linking—so knowledge becomes traversable rather than buried in one-off documents.