Happycapy provides an agent-native computer that runs in the browser, enabling AI agents to work on tasks within a private sandbox. It offers direct Claude Code capabilities and routes tasks to built-in models for outcomes rather than model management. The system emphasizes a live, visual desktop interface where users can see and control AI actions as they occur, without local installs.
The tool focuses on accessibility, giving users a GUI built for everyday use and a private, isolated environment. It supports AI agents that can learn how a user works and operate from a browser, with tasks that are visible and controllable rather than opaque. The approach aims to make automation approachable for a broad audience.
Happycapy integrates a Skill Store with purpose-built capabilities for generation, coding, analysis, translation, and more. It enables automations that can be scheduled or run as recurring tasks in the cloud, providing a workflow where agents execute steps and report progress back to users.
It emphasizes staying in control, providing inbox-delivered results, and a private sandbox that remains separate from local systems. The concept centers on agent-native work that extends productivity without complex setup.
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