OpenConstruct Integration Hub — the meta-repo and entry point for the SuperInstance ecosystem. Architecture, module catalog, getting started, and build system.
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Updated
May 29, 2026 - Makefile
OpenConstruct Integration Hub — the meta-repo and entry point for the SuperInstance ecosystem. Architecture, module catalog, getting started, and build system.
Geometric visualizations of spectral conservation — Laplacian as rubber sheet, eigenvalue shells, phase portraits
Conservation Spectral SDK — Python. Spectral analysis of tension graphs for anomaly detection, fingerprinting, and structural health.
Spectral conservation analysis of financial market regimes
A2UI (Agent-to-UI): render agent text output as visual interfaces
Inverse conservation problem — reconstruct graphs from spectral measurements
FLUX negative-space learning — discovering structure from what's absent in spectral graph data
Interactive multi-agent field dynamics simulation with spectral forces
Persistent homology for flow networks: Vietoris-Rips filtration, Betti numbers, bottleneck distance, persistence spectra
Symplectic optimization — Hamiltonian integrators, conservation laws, natural gradient descent on Riemannian manifolds
Deadband detection and compression for fleet communication — BMA, Fibonacci splines, Eisenstein snap, HPDF sampling
B-splines meet spectral graph theory. Cox-de Boor = Fibonacci for function spaces. Pure Rust.
Conservation spectral experiment: linguistic-spectral
FLUX-C v3 VM — proof-carrying, SIMD-native, terminating constraint VM
PLATO — The Construct. Open source loading program for AI agents. Educate, don't sell.
Spectral wave propagation: wave speed = √λ₂, CR predicts coherence, standing waves reveal eigenvalue spectrum. Pure Rust.
Genetic algorithm engine for evolving musical structures and harmonic patterns
Conservation Spectral SDK v2 — next-generation spectral graph analysis with improved APIs and performance
Conservation Spectral SDK — Rust core. Spectral analysis of tension graphs for anomaly detection, fingerprinting, and structural health.
Spectral clustering algorithms using graph Laplacian eigenvalues — normalized cuts, Fiedler partitioning, and multi-way clustering
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