Agent onboarding platform — plug-and-play shell commands to create fully functional agent workspaces. Fork of NVIDIA/OpenShell (Apache 2.0)
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Updated
Sep 22, 2026 - Rust
Agent onboarding platform — plug-and-play shell commands to create fully functional agent workspaces. Fork of NVIDIA/OpenShell (Apache 2.0)
B-splines meet spectral graph theory. Cox-de Boor = Fibonacci for function spaces. Pure Rust.
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
Oscar.jl-inspired music algebra — HarmonicRing, PLRGroup, TropicalHarmony, TuningField, DialGeometry. 226 tests.
Interactive multi-agent field dynamics simulation with spectral forces
FLUX negative-space learning — discovering structure from what's absent in spectral graph data
Research documentation for the Conservation Spectral Framework — papers, proofs, manifestos
Conservation-aware generative art from spectral graph theory
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
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
Mathematically elegant spectral graph theory in pure Rust — Laplacian, eigenvalues, conservation ratio, Fiedler analysis
Conservation Spectral SDK — spectral graph theory for conservation analysis in TypeScript
Conservation Spectral SDK — Fortran implementation for HPC spectral graph analysis with BLAS/LAPACK integration
Spectral graph theory v2 — Fibonacci growth, adaptive thresholds, negative space learning. Pure Rust, zero deps.
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