Kolmarn

Kolmarn(v0.1.0 - Clean Kolmogorov-Arnold Networks 🧠📈)

A clean and interpretable implementation of Kolmogorov–Arnold Networks (KANs). Features smooth spline layers, regularization, and visualization tools for scientific machine learning, forecasting, and explainable AI research.

PyTorch
Spline Layers
Explainable AI
Scientific ML
Forecasting
Interpretability
Fur

Fur(v1.0.0 — Stable Release)

A tool for managing long AI and human chats from the CLI. Supports structured sessions, its own DSL (FurScript), and VS Code highlighting.

AI
Chat History
Version Control
Markdown
Rust
CLI
Thought Forking
Yggdrasil

Yggdrasil(v0.2.4 — The Trivium of the Rootweavers 🔱)

Flattens a repo into a single document with index and contents. Export as Markdown or text for documentation, archiving, or AI use.

Rust
CLI
Codebase
Documentation
Flattening
AI-ready
Ratatoskr

Ratatoskr(v0.3.0 — Trace-First LLM Execution 🐿️📜)

A trace-first execution enforcer for language-model workflows. Ratatoskr runs tasks only when all inputs, context, memory references, engine configuration, and outputs are made explicit, persisted, and auditable. It treats models as replaceable engines and produces deterministic, replayable execution traces with enforced citation and provenance.

Rust
CLI
LLM Infrastructure
Provenance
Deterministic Execution
Auditability
Citations
Trace Graphs
Moxi

Moxi(In development)

A voxel programming language & voxel engine. Intuitive for humans, simple enough for AIs to generate voxel worlds.

Rust
Voxel Engine
Programming Language
3D
CLI
MoSS — Monetary Systems Simulator

MoSS — Monetary Systems Simulator(Private Research — Real-Time Liquidity Lab 🏛⚙️)

A private research simulator for real-time payment systems. Models bank liquidity, settlement failures, and policy interventions at the operational layer using a Rust engine with a Python control API.

Rust Engine
Python Control API
Simulation
FinTech
Central Banking
Payments

Start Small or Go Big

Whether you need a rapid 2-hour technical block or a full sprint, the process is focused on tangible outcomes. Small engagements can scale into larger builds when you’re ready.