Etenus is an AI-powered tool designed to automate various tasks and software processes across the internet. With Etenus, users can easily create, save, and execute their own automations, enabling them to streamline their workflows and increase productivity. Whether you are managing repetitive tasks, working across multiple platforms, or needing to automate specific software actions, Etenus provides a convenient and efficient solution.

Self Collab AI provides a modular framework where developers define autonomous agents, communication channels, and task objectives. Agents use predefined prompts and patterns to negotiate responsibilities, exchange data, and iterate on solutions. Built on Python and easy-to-extend interfaces, it supports integration with LLMs, custom plugins, and external APIs. Teams can rapidly prototype complex workflows—such as research assistants, content generation, or data analysis pipelines—by configuring agent roles and collaboration rules without deep orchestration code.

Airweb is an advanced AI-driven agent designed for efficient web browsing. It automates repetitive tasks such as filling out forms, gathering information, and navigating through multiple pages with ease. Users can save time and enhance productivity by delegating tasks like data extraction or even shopping assistance to Airweb, which relies on intelligent algorithms to understand context and respond effectively. This agent functions as an essential tool for anyone looking to maximize efficiency in their online activities.

Cal AI is an intelligent AI agent that enhances user productivity by automating everyday tasks, managing schedules, and providing tailored insights. It integrates with various applications to streamline workflows, allowing users to focus on what matters most. With advanced machine learning algorithms, Cal AI continuously learns from user interactions to offer more personalized assistance, ensuring efficiency in both personal and professional settings.

MiniAgent is a minimalistic open-source framework built in Python for constructing autonomous AI agents capable of planning and executing complex workflows. At its core, MiniAgent includes a task planning module that decomposes high-level goals into ordered steps, an execution controller that runs each step sequentially, and built-in adapters for integrating external tools and APIs, including web services, databases, and custom scripts. It also features a lightweight memory management system to persist conversational or task context. Developers can easily register custom action plugins, define policy rules for decision-making, and extend tool functionality. With support for OpenAI models and local LLMs, MiniAgent enables rapid prototyping of chatbots, digital workers, and automated pipelines, all under an MIT license.