Clawd Cursor vs Lapu AI

Clawd Cursor gives AI agents local control of desktop applications for GUI tasks where a native API or command-line interface is unavailable. It builds a screen map from accessibility data and OCR, assigning stable element IDs and confidence scores; screenshots are used only when needed. Agents can click and type, and actions can be checked against an expected outcome. The maker says every tool call goes through one safety layer and describes the software as local, localhost-only by default, and without telemetry. It supports Windows, macOS 12 or later, and Linux X11 or Wayland. Connections use stdio MCP or an HTTP MCP daemon at 127.0.0.1:3847/mcp. Listed hosts include Claude Code, Cursor, Windsurf, OpenClaw, and Zed. The tool offers seven recommended compound tools and 98 granular tools for compatibility and debugging; the maker says it works with any model. It is free and MIT licensed. Installation requires Node.js 20 or later. Desktop control needs one-time consent; macOS also requires Accessibility permission, while Screen Recording is optional for vision fallback.

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.