by dartmeadow·Simulation
Illustrative cover generated by AnyPlugins — no product screenshot available.
A niche, concept-driven extension from dartmeadow that ties its author's own neural network logic to buoyancy and gravity potentials inside Blender.
Reflex Potentials is a Blender add-on built around what its developer calls LEATR: Gravitational Neuron Source Potentials. It expresses three natural buoyancies — Aerospace (Zero Gravity / Vacuum), Maritime (Fluid Dynamics) and Geological (Solids and Positioning) — as computer logic forming a shell around other connected data and data inputs. The stated purpose is to use buoyancy to process and optimize an AI neural network, weighed against tagging the most optimal data being transported between neurons.
The add-on draws on the developer's "Lead Edge Ash Tree Reflex" neural network, and specifically the "Buoyancy Reflex Pendulum Node." Its shells operate on three natural layers, each required to meet the buoyancy formation order — Foundation, Reflex and Performance — before processing the input data they contain. The elementary math foundation given for natural buoyancy is Global Variable = (frp √ frp).
Gravity Potentials are integrated to assist and measure alongside this system, intended for AI neural network research with connected data and assets, and for 3D visual feedback and simulation measurements. The extension is documented on the developer's Radical Deepscale website.
Reflex Potentials is best for blender users researching AI neural network design using buoyancy, and those working with 3D visual feedback and simulation measurements.
Reflex Potentials is completely free to download and use.
Reflex Potentials lists compatibility with Blender 5.0.1 and newer, so 5.0.1 is the baseline supported version. If you are running an older Blender release, you would need to update before installing the add-on. The current build is version 1.0.3, published in February 2026, and the extension is a small download of around 34.7 KB. For the most current compatibility notes, check the developer's Radical Deepscale page linked from the listing.
Reflex Potentials uses buoyancy to process and optimize an AI neural network, weighed against tagging the most optimal data being transported between neurons. It forms a shell around other connected data and data inputs, and its shells operate on three natural layers that must meet the buoyancy order — Foundation, Reflex and Performance — before processing the input data contained within. The developer positions it for neural network research with your connected data and assets, plus 3D visual feedback and simulation measurements.
Reflex Potentials does not require special permissions, according to its extension listing. The add-on is distributed under the GNU General Public License v3.0 or later. It is a compact extension of roughly 34.7 KB in size and targets Blender 5.0.1 and newer. Issues can be reported through the developer's GitHub, and further documentation is hosted on the Radical Deepscale website referenced in the listing.
Reflex Potentials is listed here as free. It is offered under the GNU General Public License v3.0 or later, and the developer, dartmeadow, also provides a Gumroad page where you can support Radical Deepscale projects. For current licensing terms and any support options, visit the developer's page. The version tracked here is 1.0.3, published in February 2026 with an update to the website and tracker URLs.
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