Cua
Cua is a computer-use agent platform that lets AI agents see screens, click buttons, type, and run code just like a human across macOS, Windows, Linux, browsers, and mobile environments. It provides cloud-based, sandboxed desktops where agents can automate real software workflows without relying on APIs. Built on open-source Cua agents, the platform enables developers to build, run, and scale computer-use agents with precision and reliability. Cua supports multi-step tasks, structured outputs, and human-in-the-loop recovery for complex automation. Agents operate in fully isolated environments to ensure safety and reproducibility. Cua is designed to make AI interaction with real applications practical and scalable.
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Do Anything
Do Anything is an AI-powered personal assistant platform designed to automate real work by actually performing tasks on behalf of the user rather than just providing answers, enabling users to delegate daily workflows and complex jobs through natural language instructions; the platform connects to a user’s favorite apps, tools, and online services to send emails, make to-do lists, search the web, fill out forms, browse information, book appointments, plan events, and complete multi-step tasks autonomously, helping reduce manual busywork and improve productivity. Unlike traditional AI chatbots that offer suggestions, Do Anything’s intelligent agent handles actions in the background based on user commands entered in plain English, acting on calendars, communication tools, project apps, and other integrations to execute work that would otherwise require direct user involvement.
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Runable
Runable is an AI-automation/agent platform that lets users automate almost any digital task a human could do on a computer, using natural language instead of scripting. It supports browser, desktop, and mobile interfaces, offers connectors/integrations to common services, and allows scheduling and workflow orchestration (“runbooks”) for repetitive or multi-step tasks. Runable provides a library of example runbooks/templates (for marketing, sales, programming, research, productivity, etc.) so users can start from prebuilt automations and customize them. Use cases include things like automatically preparing meeting materials by researching companies on your calendar, generating reports with visualization, updating docs, and organizing files or data. The system includes feedback loops (you can adjust, push forward, schedule runs), permissions/connectors, and is positioned to help reduce manual work, streamline repetitive workflows, and scale productivity.
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Cofounder
Cofounder 2 is an AI automation system designed to help users run and organize workflows across their entire tech stack using natural language as the primary interface. It connects directly to existing tools and platforms, allowing users to automate tasks, manage operations, and coordinate processes without needing to manually configure complex integrations. It uses AI agents that can understand instructions written in plain English, then plan and execute multi-step workflows such as project management, communication handling, or data processing, effectively acting as an intelligent operational layer on top of the software users already rely on. Cofounder emphasizes seamless integration and workflow orchestration, enabling users to link multiple tools together and create automated “flows” that operate across systems. Its agents are capable of reasoning through tasks, adapting to different contexts, and handling technical execution behind the scenes.
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