Clawd Cursor vs Scalaris Atlas

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.

Scalaris Atlas is a local deployment that turns a computer into a private host for AI models and serves them to compatible clients. It accepts OpenAI-compatible clients at localhost and exposes routes for chat completions, embeddings, and model lists. Atlas includes Pulsar, while its model manager lets users install their own models. The API covers a strict subset of the OpenAI HTTP surface; unimplemented endpoints return a typed 501 response. Models are served locally, and the maker says nothing leaves the machine. Egress is denied by default, and non-loopback binds are refused unless explicitly enabled. Atlas has no telemetry or phone-home behavior, according to the maker. Scalaris Toolbox installs and supervises it. Configuration is kept in one TOML file and reloads when changed. GPU exhaustion can trigger CPU fallback only with --allow-cpu. It is free forever at free and runs on macOS, Linux, and Windows.