AtherOps

Please visit: https://ather-docs.vercel.app for a DETAILED DEMO and DOCUMENTATION

For installation please visit the latest release: https://github.com/Shreeyans2305/AtherOps/releases/tag/v1.0.7 and follow the steps there

(So far, I have only tested for MacOs and that works on the latest version however the builds for Ubuntu and Windows were also successful)
The objective is to create a smart and user friendly system that benefits the E-commerce platforms and SaaS businesses with transitions.
Broken API endpoints, payment gateway errors are real and wayy too common. These small bugs end up costing businesses a lot of money.
To resolve this, AtherOps introduces a Smart Multi-Agent Pipeline that monitors all the signals, logs, messages, console, and tickets from a website and provides a smart diagnosis and self fixes the issues based on severity. For harder issues, it sends an email to Engineers and Merchants informing them of the error.
This system vastly optimizes the current monitoring services and ticketing systems saving companies a lot of money and resources by providing a 24/7 support team of agents!!
The setup for a business is as easy as adding a JavaScript SDK through a code snipped in the script tag of the HTML file!!
Really proud of this project and I hope it goes on to make real world impact.
Thank you for your time.

PS: I finally got the package working so now you can download it on your own system and run it. Just make sure to install ollama first and read the setup steps. Have Fun!! I hope you enjoy it.

Some finishing touches were added and I quickly whipped up a documentation page since deploying something like this is really tedious and would need money and probably a large team. The locally running light weight LLMs give this page a huge boost, seperating them from the exisiting diagnosis platforms, something like AtherOps is in a completely different category since it’s smart and self healing! Really proud of the way this project turned out and hope it can be shipped to real companies in need of monitoring during a transition to headless architecture and also as a general smart tool!

The core of the project has been built out. After an error/ticket/API endpoint failure, the site correctly diagnoses and fixes the issue, identifies patterns, notifies related authorities (via email), and asks for human intervention on serious for critical errors. This project requires the installation of a lot of dependencies, so I am thinking I might just use a demo video instead of the working agentic pipeline. The setup is rather easy but heavy. I’ll probably include everything in the README file. Make sure to checkout the README file!!

Created the frontend and the backend. The purpose of this is to monitor a website’s console, websocket data and customer support tickets to provide real time healing and assistance. So far, the data about a business’ website such as API errors, Payment Failures, Websocket errors go into the backend and follow an Agentic AI Pipeline which observes and reasons abouts these errors and establishes a pattern. In this devlog, I completed the implementation of the entire site. I will be sharing the theoretical framework behind this soon. Stay Tuned!!