Computer Use OOTB vs Lapu AI

Computer Use OOTB is an open-source framework for automating desktop tasks through a graphical interface, using API-based or locally running models. It supports Windows and macOS and provides a Gradio interface without requiring Docker. Users can configure one model for a task or separate models for planning and computer control; listed options include Claude 3.5 Sonnet, GPT-4o, Qwen models, ShowUI, and UI-TARS. Local inference can avoid API costs, though a task using Claude 3.5 Computer Use may cost a few dollars. Setup requires Miniconda, Python 3.12 or newer, dependency installation, and starting the interface with `python app.py`. ShowUI local runs require a CUDA-enabled NVIDIA GPU with at least 6 GB of GPU memory on Windows, or an M1-or-newer Apple Silicon Mac with at least 16 GB unified RAM. A mobile browser can send commands to the computer running the software. The project uses an Apache-2.0 license. Its README warns that model actions can be unintended or harmful and recommends monitoring them; anyone with a public Gradio link may be able to control the computer.

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.