by coasty-ai · Agent Tool · ★ 763
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🔒 Is open-computer-use safe to install? View the security audit →
Open Computer Use AI agents that control computers like humans do. Browser automation · Terminal access · Desktop control · Multi-agent orchestration Website · Discord · Twitter See it in action Marketing — Market your product on Reddit autonomously View chat session Go-to-Market — Find prospects and send personalized emails View chat session <a href="https://www.youtube.com/watch?v=Wbo2o74hV
| Stars | 763 |
| Forks | 95 |
| Language | TypeScript |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 71.11190997155/100 |
| Last Updated | 2026-06-15 |
| Created | 2025-10-11 |
| Platforms | claude-code, gemini, node |
| Est. Tokens | ~16k |
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open-computer-use is State of the Art 82% OSWorld Computer Using Agent, production-ready. Remote and Local! Setup using one API Key. It is categorized as a Agent Tool with 763 GitHub stars.
open-computer-use is primarily written in TypeScript. It covers topics such as agent, agentic-framework, ai.
You can find installation instructions and usage details in the open-computer-use GitHub repository at github.com/coasty-ai/open-computer-use. The project has 763 stars and 95 forks, indicating an active community.
open-computer-use is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to open-computer-use on Agent Skills Hub include os-ai-computer-use, open-computer-use, chat-js. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: