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.

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.

Nova Act is an advanced AI agent designed to streamline workflow management and business operations. It utilizes intelligent automation to handle repetitive tasks, enabling users to focus on strategic activities that drive growth. With custom workflow creation and management tools, Nova Act supports various business needs, improving efficiency and productivity while minimizing human error.

SageFlow automates workflow processes, enabling users to design and optimize workflows without needing extensive programming knowledge. It connects with various applications to facilitate task automation, enhance productivity, and ensure a seamless flow of information between tools. Users can create custom workflows tailored to their specific needs, allowing for a more efficient operation across teams and departments.

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.

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.