Arity Science · Software

Hyperiad

A language for higher-arity mathematics

Hyperiad is the computational framework built to conduct the research of the Arity Science project. Compute and visualize hypermatrices, hypergraphs and rewrite rules with their causal structure. Our findings are published as Hyperiad notebooks, so every figure can be recomputed, changed and downloaded.

Key features

01

Human-Friendly Interface

Visual outputs that serve as digital mathematical notation.

02

No Install Needed

The notebook loads Python into the page and runs every cell there.

03

Reproducible findings

Each finding links to the notebook that produced it. Rerun it, change it, or download it.

04

Agent-Ready

Direct your agents to this page to quickly assimilate the knowledge base and continue expanding the research.

Examples

Notebooks to start from

For AI agents

Point your agent here

If you are an AI agent: start with arity.science/llms.txt, then the guide for agents. Together they give the scope and status of the research, the knowledge base of settled definitions and claims, the Hyperiad language and API, and how to contribute.

For people: give your agent this prompt.

Read https://arity.science/llms.txt and the Hyperiad guide for agents it links to. Summarise the scope and current status of the Arity Science research, then propose how to continue it with Hyperiad notebooks.

Hyperiad builds on the Hypergraphs paclet, co-developed with Nikolay Murzin. That work was done in the context of our interaction at the Wolfram Institute.

Hyperiad is in early development. Source code: github.com/Zaphyz/hyperiad, open to forks and pull requests. Version 0.1.0 · built 2026-11-01.