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Auroraspeak

Real-time AI chat companion delivering fast, context-aware conversations directly from your desktop.

Install / Use

/learn @metacore-stack/Auroraspeak
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

AuroraSpeak

AuroraSpeak is a lightweight web client that lets you chat with locally configured AI services through a clean, responsive interface. The focus is on clarity, speed, and full transparency over which model is responding.


Highlights

  • Seamless single-page UI with instant model switching.
  • Supports both conversational and image-style prompts.
  • Friendly error messaging with built-in retry guidance.
  • Works entirely in the browser — no server setup required.

Interface Preview

AuroraSpeak conversation screenshot


Quick Start

  1. Clone or download the project files.
  2. Open index.html in your browser.
  3. Configure your preferred models inside models.json.
  4. Start chatting instantly.

Project Layout

  • index.html — main application shell.
  • app.js — chat orchestration, model handling, and rendering logic.
  • style.css — layout, theming, and responsive design rules.
  • models.json — curated list of model identifiers shown in the UI.
  • new-feature.html — experimental playground for upcoming UI ideas.

Configuration Tips

  • Add or remove model identifiers by editing models.json.
  • Toggle default model selection through the defaultModel field in app.js.
  • Adjust theme colors and spacing via CSS variables in style.css.

Contributing

  • Fork the project or open an issue describing the change you have in mind.
  • Keep pull requests focused on a single improvement.
  • Include a short summary of manual testing or screenshots where appropriate.

Roadmap

  • Add optional voice input for hands-free sessions.
  • Expand support for streamed responses.
  • Introduce offline-first caching for frequently used prompts.

License

This project is released under the terms of the included LICENSE.

Related Skills

View on GitHub
GitHub Stars12
CategoryCustomer
Updated4mo ago
Forks2

Languages

JavaScript

Security Score

92/100

Audited on Nov 27, 2025

No findings