Releases

Cyber Viking Kvasir Graph (CVKG) - High-fidelity agentic UI framework

Procedural macros for Ferro framework

Cyber Viking Kvasir Graph (CVKG) - High-fidelity agentic UI framework

Lock up .env files (and anything in .prot) inside a 1Password vault.

Procedural attribute macros for FtrIO: #[toggle] and #[toggle_async].

Cyber Viking Kvasir Graph (CVKG) - High-fidelity agentic UI framework

CVKG frame and task scheduler — platform-wide update ordering

3D rendering pipeline for CVKG

Fast neural network primitives for Lattice - tiny models, fast inference

Optimal transport math (Sinkhorn, Wasserstein, barycenters) for Lattice

Bytecode compiler + VM for Lex.

Type system + effect inference for Lex.

Inserts feature docs into crate docs, and crate docs into README.

Canonical AST + content-addressed identity for Lex programs.

Tokenizer + parser for the Lex programming language.

Cyber Viking Kvasir Graph (CVKG) - High-fidelity agentic UI framework

Fast, memory-safe Rust implementation of LZ4 compression with built-in dictionary training and no-alloc support

The pr4xis runtime — load a .prx ontology as data, deserialize into the free category, rebind into the closed world; grounds only the hash primitive.

LZ4 block compression for lz4rip.

Raster image export (PNG, GIF) for the CVKG UI framework

Axiomatic Intelligence — an ontology + category-theory reasoning engine: every claim derived from explicit axioms, with a proof path back to them

Derive macros for pr4xis ontology traits

Cyber Viking Kvasir Graph (CVKG) - High-fidelity agentic UI framework

CVKG internal crate

ZLayer Plugin Development Kit for Rust

Conversion bridge between matten::Tensor and ndarray::ArrayD<f64>.

A family-car multidimensional array (tensor) library for small numerical trials / PoCs.

Small, transparent, deterministic preprocessing helpers for matten::Tensor (no ML framework).

CSV/table-to-Tensor preparation companion for matten (small PoC datasets).

Simple ordinary-least-squares linear regression with the Student-t p-value and standard errors — value-exact scipy.stats.linregress equivalent