Wheelwright
Clone the framework

Open-source AI memory framework

Build AI wheels that roll forward forever

Never repeat yourself to ChatGPT, Claude, Copilot… ever again.

Wheelwright is a hub-and-spoke memory layer that persists project context across any LLM. Drop a WAI-Spoke folder in your project and every assistant starts with the same shared memory—code or not.

Classic Workbench
Manual Context
Modern Workbench
Wheelwright Memory
Bootstrap a project Clone the framework

What is Wheelwright?

Wheelwright is a hub-and-spoke memory layer that persists project context across any LLM. Drop a WAI-Spoke folder in your project and every assistant starts with the same shared memory—code or not.

Wheelwright Apron

Hover or tap a feature to reveal the benefit.

Hub + Spoke Memory Consolidates shared project memory while guarding task context.
LLM-Agnostic Works with ChatGPT, Claude, Grok, or local models.
Works Beyond Code Research, strategy, design systems—any text-based work.

How it works + why it matters

How it works

Hub + spoke memory

The hub consolidates the shared project memory, while spokes store specialized context for tasks like coding or review.

LLM-agnostic by design

Use ChatGPT, Claude, Grok, or your own models. They all read the same wheel and keep it rolling.

Works beyond code

Use it for research, writing, product strategy, design systems, onboarding, or any project where continuity matters.

The pain it solves

Tokens evaporate every session

You pay to re-explain architecture, tech stack, decisions… over and over.

Switching LLMs = blank slate

Claude in the morning, ChatGPT at night—neither remembers what you already built.

Wheelwright fixes it in one file

A single WAI-Spoke/ folder that every AI loads automatically.

Proof in the numbers

Measured across real feature work: fewer tokens, faster delivery, and zero rework.

Metric Without WAI With WAI Saved
Tokens / feature ≈ 15 k ≈ 5 k 67 %
Time / feature 3–4 h 1 h ~70 %
Rework cycles High None 100 %

Start from a spoke or a hub

Start with a single project, or set up a hub if you plan to run multiple spokes.

Place the framework

  1. Clone the framework: git clone https://github.com/wheelwright-ai/framework
  2. Make the CLI executable (and optionally add it to your PATH).

Initialize a spoke

  1. Run WAI from within your project folder.
  2. Follow the prompt to initialize.

Initialize a hub

  1. Run WAI from within your hub folder.
  2. Follow the prompt to initialize a Hub.
Open bootstrap guide →

Want to hear updates on new features?

Host your WAI files online, sync across machines, share with your team—be first to get access.

Alpha invites rolling out weekly; local version always free.