DesktopCtl vs Lapu AI

DesktopCtl is a macOS launcher and command-line interface for AI agents that observe and control a computer through its screen, mouse, and keyboard. It works with any desktop application without app integrations or APIs, and accepts any CLI-capable agent and AI model, including local LLMs. Local GPU-accelerated text recognition and computer vision capture interface content and extract structured information. Deterministic CLI actions include clicking, typing, and waiting. The keyboard-first launcher shows active-window context and can run or resume sessions with multiple local agents. The maker says recognition runs locally, screenshots remain local by default, and a visual indicator appears during screen, mouse, or keyboard access. Operating-system permissions are granted only to DesktopCtl. It is open source under the MIT License, deployed locally, free to use, and currently supports macOS on Apple Silicon only. Release builds use an ad-hoc signature and are not Developer ID signed or notarized.

Lapu AI is a desktop agent for carrying out multi-step tasks with files, terminals and desktop applications on macOS and Windows. Give it a plain-language goal and it plans steps, selects tools and can pause for approval. It controls applications through interfaces exposed by the operating system, rather than taking over the mouse and keyboard. Workflows can be packaged as reusable skills and scheduled. It can operate services such as Notion, Slack, Google Workspace and Microsoft 365 through desktop or signed-in browser interfaces, without native connectors. Files, documents, folders, application data and audit logs remain on the user's machine; only context needed for a reasoning step is sent to the model provider. High-risk actions require explicit confirmation, and local action logs are retained by default for up to 90 days. The native app requires macOS 12 Monterey or later on Apple Silicon, or Windows 10 or 11 on 64-bit x86_64, with at least 4 GB RAM. A free plan is available; paid plans are listed from $20/mo.