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Vhyxara
New Introducing Vhyxara

We build what fixes real problems — then take it further.

Vhyxara makes open-source libraries for the agentic web, developer infrastructure, and a new way to learn computer science.

  • VhyxUI
  • VhyxSeal
  • VhyxChart
  • Vhyxvoid
  • Vhyxara Academy
Open-source libraries

A family for the agentic web

Three libraries that are useful on their own and fit together: build the interface, tell AI agents what it does, and show how it all flows.

Live
React components

VhyxUI

Accessible React components with motion built in — and a contract on every control, so AI agents know what is safe to click.

  • 37 components, 22 blocks and layouts, 500 icons
  • Keyboard and screen-reader support tested on every component
  • Themes and design tokens; works with Tailwind
Live
Agent contracts

VhyxSeal

The contract layer that tells AI agents what your UI does — and when they must stop and ask a person.

  • Signed, domain-bound manifests
  • Safety levels and confirmation on every action
  • React, Next.js, Vue and vanilla JS
Live
Animated diagrams

VhyxChart

Diagrams written as text that actually move — requests travel, services fail, values sort.

  • Flowcharts, sequences, state machines and algorithms
  • Animated SVG that plays inside GitHub READMEs
  • React, VS Code, Markdown and any web page
How they fit

People click. Agents read. Everyone can see the flow.

Every VhyxUI control carries a VhyxSeal contract. VhyxSeal publishes them as one signed manifest that agents read before they act — and VhyxChart draws that manifest as a flow, so you can see exactly where an agent must stop and ask a person.

Read how the family fits
Also building

Infrastructure and learning

Early access
Localhost tunnels

Vhyxvoid

Share the app running on your machine at a secure public URL — for webhooks, demos and testing on real devices.

  • One command, or drop-in for Next.js, Express and Fastify
  • Webhooks arrive with headers and body untouched
  • Keys, plans and usage in a dashboard
In development
Learning platform

Vhyxara Academy

Computer science taught the way people actually learn: explain first, practise, and track real understanding — not just completed lessons.

  • Mastery tracked per concept and objective
  • Explanations before tests; prerequisites respected
  • AI helps explain — it never grades itself
Principles

How we build

Start from a real problem

Every product begins with something that hurt in real work. If we can’t say the problem in one sentence, we don’t build it.

Do the boring parts well

Accessibility, keyboard support, reduced motion, typed errors and tests are the floor, not features for later.

Then go further

Once the basics are solid, we push the idea somewhere new — like a contract on every button, so AI agents act safely.

Open by default

Our libraries are MIT licensed and built in public. You can read every line and help shape what comes next.

Build with us

Use the libraries, open an issue, or follow along as the next products take shape.