diff --git a/doc/development/roadmap.rst b/doc/development/roadmap.rst
index 8d09cc03a8b..29557d626c9 100644
--- a/doc/development/roadmap.rst
+++ b/doc/development/roadmap.rst
@@ -145,15 +145,10 @@ We should deprecate `MNE-Realtime`_ in favor of the newly minted `MNE-LSL`_.
 We should then fully support MNE-LSL using modern coding best practices such as CI
 integration.
 
-Core components of commonly used real-time processing pipelines should be implemented in
-MNE-LSL, including but not limited to realtime IIR filtering, artifact rejection,
-montage and reference setting, and online averaging. Integration with standard
-MNE-Python plotting routines (evoked joint plots, topomaps, etc.) should be
-supported with continuous updating.
-
 For closed-loop applications such as neurofeedback and BCI, `MNE-RT`_ builds on
-MNE-LSL and MNE-Python to provide real-time feature extraction, adaptive protocols,
-artifact correction, and live visualisation in a single researcher-friendly API.
+MNE-LSL and MNE-Python for sensor- and source-space feature extraction, adaptive
+feedback protocols, real-time artifact correction, and live visualisation that
+integrates with standard MNE-Python plotting routines with continuous updating.
 
 Clustering statistics API
 ^^^^^^^^^^^^^^^^^^^^^^^^^
diff --git a/doc/sphinxext/related_software.py b/doc/sphinxext/related_software.py
index d1c29f74446..568b7e43720 100644
--- a/doc/sphinxext/related_software.py
+++ b/doc/sphinxext/related_software.py
@@ -81,6 +81,12 @@
         "Home-page": "https://github.com/aaltoimaginglanguage/conpy",
         "Summary": "Functions and classes for performing connectivity analysis on MEG data.",  # noqa: E501
     },
+    # PyPI metadata still points at the old personal repo (payamsash/mne-rt)
+    # instead of the current mne-rt-org/mne-rt home.
+    "mne-rt": {
+        "Home-page": "https://github.com/mne-rt-org/mne-rt",
+        "Summary": "Real-time M/EEG neurofeedback and BCI framework built on MNE-Python and MNE-LSL.",  # noqa: E501
+    },
 }
 
 REQUIRE_INSTALLED = os.getenv("MNE_REQUIRE_RELATED_SOFTWARE_INSTALLED", "false").lower()
diff --git a/examples/visualization/brain.py b/examples/visualization/brain.py
index 9ab4f6d0a9e..a3ff6f754c1 100644
--- a/examples/visualization/brain.py
+++ b/examples/visualization/brain.py
@@ -145,8 +145,7 @@
 # ``brain.layered_meshes``.  Calling
 # :meth:`~mne.viz.LayeredMesh.update_overlay` pushes new scalar data without
 # rebuilding the full rendering pipeline — the key operation for packages that
-# stream source-space data onto the brain in real time, such as
-# `MNE-RT <https://payamsash.github.io/mne-rt/>`_.
+# stream source-space data onto the brain in real time, such as `MNE-RT`_.
 #
 # Here we add an initial bottom-to-top gradient as the first data frame.