What’s New

Plain-English notes on what has changed in each release of Concept Mapper.

Version 1.3.1

4 August 2026

A maintenance release. Nothing changes in how the app looks or works.

Updated internals. The libraries Concept Mapper is built on have been brought up to date, including security fixes to components used when building the app.
Faster, tidier build. Housekeeping to the build and test tooling. Your maps, templates, and settings are untouched.
One extra step on first launch. This build is signed with an Apple Developer ID but has not been through Apple's notary service, so macOS will say it cannot verify the developer the first time you open it. Open System Settings ▸ Privacy & Security, find Concept Mapper under Security, and choose Open Anyway. You only need to do this once.

19 June 2026

This release moves Concept Mapper to a direct download and opens up the source.

Now a free, direct download. Concept Mapper is no longer on the Mac App Store — you download it straight from the website. It's signed and notarised by Apple, so it opens cleanly with no security warnings. Updates are a simple re-download from the same page.
Now open source. Concept Mapper is released under the MIT licence. You're free to read, modify, and share the code.
Textmap outline view. Every map can now be read as a nested, expandable outline — the same nodes and typed relationships as the canvas, one click away. Follow a single thread of connections at a time and edit a node's notes inline.
Clearer grouping in the outline. The textmap now groups a node's connections by type, so related links sit together and are easier to scan.
Second Brain panel. A dedicated panel for working alongside your maps.
Redesigned app icons and a number of layout fixes for a tidier canvas.

31 May 2026

First release. Build, edit, and reason over concept maps where every node and edge has a type. Maps are plain-text Markdown; the schema they follow lives in a separate template you control. Includes the force-directed canvas, a Properties inspector, tag filtering, custom taxonomies, and built-in network analysis (centrality, communities, path finding).