Machato

Introducing Machato, an ingenious native client tailored exclusively for OpenAI’s ChatGPT. It paves the way for users to engage in conversations with AI systems, harnessing the reassuring familiarity of an instant messaging app’s interface.

Machato’s prowess unfolds with an array of features, including the option to receive live streamed or non-streamed responses directly from the API. The tool orchestrates conversation management, granting users the ability to craft distinct dialogues with individual histories, settings, and titles. Its inclusivity extends to all OpenAI models, fostering a rich spectrum of possibilities.

Within its realm, Machato adeptly translates code into an aesthetic symphony through syntax highlighting, while effortlessly conjuring tables and harnessing the full spectrum of GitHub-flavored markdown functionalities. The prowess of mathematical expressions is unveiled with LaTeX rendering, offering elegance to formulas and definitions.

A robust rendering engine ensures optimal performance, harmonized with the simplicity of per-message copy-to-clipboard functionality, easing the transfer of information. Machato’s forthcoming journey is imbued with promises, including forthcoming support for GPT-4’s picture input, a treasure trove of prompts, app localization, seamless AutoGPT integration, and the convenience of keyboard shortcuts.

An important prelude is that Machato’s canvas is set within macOS 13.0 and its descendants. An investment in a lifetime license unfurls a tapestry of features and beckons forth the boundless horizons of future updates. Users’ voices are valued, inviting suggestions for additional features that they envision.

In essence, Machato elevates and refines the landscape of chat-driven AI interactions. It harmoniously interfaces with ChatGPT’s AI expanse, rendering it accessible and engaging through an interface that feels like second nature.

As part of our community you may report an AI as dead or alive to keep our community safe, up-to-date and accurate.

An AI is considered “Dead AI” if the project is inactive at this moment.

An AI is considered “Alive AI” if the project is active at this moment.