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Description

Cua is a unified infrastructure for building and deploying computer-use AI agents that interact directly with operating systems and applications. Instead of automating through integrations, Cua agents work visually—understanding interfaces, clicking UI elements, typing text, and navigating software naturally. The platform supports Linux, Windows, and macOS sandboxes with cloud-based scaling. Developers can run agents via a managed UI or integrate them programmatically using the Python Agent SDK. Cua also provides dataset generation, trajectory recording, and benchmarking tools to train and evaluate agents. With pay-as-you-go pricing and smart model routing, Cua balances performance and cost efficiently. It is fully open source and designed for production-grade automation.

Description

Eve serves as a framework for creating agents, akin to how Next.js functions for web applications, offering a specialized environment for agent development. It employs Markdown to articulate instructions and skills, while TypeScript is utilized for implementing tools, ensuring durable execution by default. An agent is essentially a directory that outlines its instructions and skills using Markdown, defines tools through TypeScript, and facilitates deployment. Eve meticulously compiles this directory, orchestrates durable workflows, and integrates various channels, providing developers with a systematic approach to construct production-ready agents without the need to piece together disparate solutions. An instructions.md file can represent a fully functional agent, and the agent.ts file empowers teams to select a model or adjust the runtime configuration. Skills can be reused as Markdown playbooks that are loaded when needed, allowing the agent to receive targeted guidance without the burden of carrying unnecessary information in every prompt. Tools are introduced as TypeScript files, with their filenames serving as the tool names, eliminating the requirement for any registration process. Each agent operates within its own isolated sandbox and includes file tools, and there is also the option for custom sandbox configurations, enhancing flexibility for developers. This robust framework not only streamlines agent creation but also fosters innovation by allowing developers to focus on building unique functionalities.