clawdcursor
Enables AI agents to interact with desktop applications and operating systems directly, closing the gap between API-driven automation and legacy systems.
OS-agnostic, model-agnostic desktop automation server. Gives any AI agent eyes, hands, and ground-truth verification on Windows, macOS, and Linux.
- Screenshot-based visual verification before agent decisions
- Automating data entry into closed-source desktop applications
- Cross-platform workflow orchestration without rewriting systems
Enables AI agents to interact with desktop applications and operating systems directly, closing the gap between API-driven automation and legacy systems. Provides real-time visual feedback and verification for reliable agentic workflows across platforms.
Teams automating cross-platform workflows where CLI/API integration isn't available—RPA scenarios, legacy system integration, multi-step desktop processes.
https://github.com/AmrDab/clawdcursor
By AmrDab
How to Get It
claude plugins install AmrDab/clawdcursor
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Help me screenshot-based visual verification before agent decisions
Trust Signals Auto-scanned
Community Pulse Active
Discussed on Hacker News, Reddit
- AI Can Do Anything — Hacker News · 4 pts
- AI can control your Desktop — Hacker News · 4 pts
- AI Can now control your desktop — Hacker News · 3 pts
3 mentions across 1 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
catalog_hygiene stale-eval refresh: Scored from trust signals (evidence-eval-v1): 395 GitHub stars; 6 contributors; last commit 1d ago; license MIT.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
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Evaluation
catalog_hygiene stale-eval refresh: Scored from trust signals (evidence-eval-v1): 395 GitHub stars; 6 contributors; last commit 1d ago; license MIT.