dsh-computer-use
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- AlicenseNot gradedqualityCmaintenanceEnables the model to observe and control the live desktop via accessibility trees and screenshots, performing actions like clicking, typing, scrolling, dragging, and setting values.MIT
- AlicenseNot gradedqualityCmaintenanceEnables Claude to control the local desktop via screenshot, mouse, keyboard, and clipboard operations.MIT
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to control remote desktops through screen capture, mouse movement, and keyboard input.MIT
- FlicenseNot gradedqualityDmaintenanceEnables AI to capture screenshots and control mouse and keyboard for automated desktop interaction.-
- AlicenseNot gradedqualityDmaintenanceEnables computer control via mouse, keyboard, OCR, and screen/window management, similar to Anthropic's computer-use.MIT
TDQS
Scored across 30 tools
Most tools are distinct input/output primitives, but the fine-grained mouse controls (left_click vs left_mouse_down/up vs left_click_drag) and overlapping text-entry helpers (type, set_value, key, perform_action) can require careful reading. The descriptions clarify intended usage enough that an agent can mostly tell them apart.
Names predominantly follow a snake_case verb_noun pattern such as list_apps, get_app_state, and read_clipboard, which makes the overall set predictable. A few bare verbs or nouns (wait, key, type, screenshot) and perform_action break the otherwise consistent rhythm.
30 tools is on the high side and pushes past the typical well-scoped range. Many mouse variants and utility operations could be consolidated, making the tool surface feel heavier than necessary for an agent to navigate effectively.
The tool set covers the core computer-use lifecycle well: permissions, observation, mouse/keyboard input, clipboard, display/window inspection, and session control. Minor gaps such as window manipulation or app termination remain, but common automation tasks are achievable.