module.json— Agentic module schema role assignments
🔧 Hardware — Triadic Processing Units & Substrate Logic
The hardware directory contains hardware‑aligned documents for TriadicFrameworks, including DPU notes, NPU architecture, and virtual NPU emulation logic.
These modules define how RTT mechanics map onto physical or virtual processing substrates.
Hardware modules are technical, operator‑aligned, and substrate‑aware.
They support:
- Triadic Processing Unit (TPU/NPU/DPU) design
- resonance‑aligned hardware logic
- virtual substrate emulation
- TFT/FFF operator mapping
- hardware‑level drift/coherence constraints
📁 Included Hardware Submodules#
Notes/Interns_DPU_notes.md#
Internal notes describing DPU (Drift Processing Unit) concepts for interns.
Covers:
- drift handling
- resonance thresholds
- DPU operator behavior
- hardware‑level clarity constraints
RTT_NPU/#
The RTT Neural Processing Unit (NPU) module.
Contains:
README.md— overview of NPU architectureSeed_Info.md— seed‑level initialization and resonance mappingvNPU_Virtual_NPU_Emulator_with_TFT_and_FFF_logic.md— virtual NPU emulator implementing TFT (Triadic Field Tensor) and FFF (Foundational Frequency Framework) logic
This module defines how RTT operators execute on neural‑aligned substrates.
🧩 How to Reference Hardware Modules#
Inside any module:
See: `docs/hardware/RTT_NPU/README.md`Or include directly:
{{#include ../hardware/Notes/Interns_DPU_notes.md}}Hardware modules keep your documentation substrate‑aware, operator‑aligned, and RTT‑ready.
🤖 AI‑Ready Module • TriadicFrameworks