Complex CLI argument parser
CLI package for Argus.
Privacy-first performance diagnostics for Node.js — Argus
Argus eye —— koishi-plugin-argus 的截图客户端 CLI。
Argus — Git-native proactive AI agent organization framework CLI.
Stable TypeScript contract for Argus CLI plugins.
Shared types and registry helpers for Argus packages.
Argus prebuilt binary for darwin arm64
Argus — AI-powered automated dev-testing platform using Chrome DevTools MCP and Claude Code
百眼巨人 Argus：让群友通过 /peek 命令偷窥你电脑屏幕的 Koishi 插件。
OpenAPI client for @boardware/argus-ts-sdk
Spec-kit slash command bridge for argus-qa — registers /speckit.argus-* commands in Claude Code.
Argus Vision, a Firefly Tech Labs product. Framework-agnostic browser inspector for mapping UI elements to frontend source context. Works with React, Vue, Svelte, or vanilla JavaScript.
Argus prebuilt binary for win32 x64
Argus prebuilt binary for linux arm64
Argus CLI - Visual Regression Testing for React Native
Argus — a terminal LLM agent (prebuilt Go binary via npm).
**CLI tool for deploying and managing the Argus web dashboard.**
Argus CLI plugin for working with the Google Sheets document already open in an attached browser tab.
The board service is a collection of backend services that support the `argus-whiteboard`. The `argus-whiteboard` is a whiteboarding application that is being integrated into all spark clients.
This is the Node module containing the Designs for the Shared Argus Template
OpenAPI client for argus-ts-sdk
Demo CLI tool for Argus financial control plane
Vue 3 UI компонентная библиотека для проекта Argus.
Eyes of Argus: The self-aware CMS infrastructure.
AI code review platform — your coding agent shouldn't grade its own homework
Common types and utilities for the Argus web crawler
Configuration management for the Argus web crawler
A production-ready web crawler capable of handling billions of URLs
Content deduplication utilities for web crawling
HTTP fetching utilities with retry logic for web crawling
URL frontier implementations for web crawling
HTML and sitemap parsing utilities for web crawling
Robots.txt parsing and caching for web crawling
Storage backends for crawled web data
Worker implementation for distributed web crawling
Argus is a Ruby interface to a Parrot AR Drone quadcopter.Argus is extremely experimental at this point. Use at your own risk.
Docker image builder for AWS Elastic Container Registry.
Argus is a Ruby interface to a Parrot AR Drone quadcopter.Argus is extremely experimental at this point. Use at your own risk.
Active Merchant extension to support Inovio payment gateway (f.k.a. Argus)
A minimalist theme created using bootstrap
This is the official Ruby library for the ARGUS Engine, this library helps Ruby developers and applications seamlessly integrate to the ARGUS Engine, authentication and event listening.
The Orders Engine in CompassAE implements models for Orders, Order Items and Order status tracking. It also houses models for charge lines associated with Orders (although it could be argued that this functionality should reside in Commerce).
Green Garden is the definitive Ruby gem to handle common Trees operations by using fancy code argued on Tree Traversal theorem.
Some might argue it's not even a CMS. Indeed, fridaycms does not use a database but just provides a simple mapping between haml/erb files organized in a folder struture and some routes
Mingle 3.3 introduced a new Events API in the form of an "Atom feed":http://www.thoughtworks-studios.com/mingle/3.3/help/mingle_api_events.html. The Mingle team and ThoughtWorks Studios are big believers in the use of Atom for exposing events. Atom is a widely used standard, and this event API style puts the issue of robust event delivery in the hands of the consumer, where it belongs. In fact, we'd argue this is the only feasible means of robust, scalable event delivery, short of spending hundreds of thousands or millions of dollars on enterprise buses and such. Atom-delivered events are cheap, scalable, standards-based, and robust. However, we do accept that asking integrators wishing to consume events to implement polling is not ideal. Writing polling consumers can be tedious. And this tedium gets in the way of writing sweet Mingle integrations. We are addressing this by publishing libraries such as this, which if effective, fully hide the mechanics of event polling from the consumer. The consumer only need worry about the processing of events. Said processing is modeled in the style of 'pipes and filters.'
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