No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by CopilotKit · AI Tool · ★ 4.1k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is openmuse safe to install? View the security audit →
OpenMuse A personal agent with a browser, terminal, files, and work that keeps going. Compatible with any agent harness. Ask for an outcome. Follow the plan, review actions, and come back to the result. Built with CopilotKit React Native for iOS, Android, and web. Quick start · Demo · Features · Architecture · Docs · Contributing Clone this template and customize it however you want. Building on OpenMuse? Meet with the CopilotKit team → https://github.com/user-attachments/assets/8014d185-346c-4954-8ff0-26c582c5093a https://github.com/user-attachments/assets/0cc87
| Stars | 4,075 |
| Forks | 564 |
| Language | TypeScript |
| Category | AI Tool |
| License | MIT |
| Quality Score | 63.670024640297/100 |
| Open Issues | 45 |
| Last Updated | 2026-10-06 |
| Created | 2026-09-15 |
| Platforms | browser, node |
| Est. Tokens | ~18k |
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openmuse is A personal agent with a browser, terminal, files, and work that keeps going built with CopilotKit and AG-UI.. It is categorized as a AI Tool with 4.1k GitHub stars.
openmuse is primarily written in TypeScript.
You can find installation instructions and usage details in the openmuse GitHub repository at github.com/CopilotKit/openmuse. The project has 4.1k stars and 564 forks, indicating an active community.
openmuse is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to openmuse on Agent Skills Hub include claude-code-infrastructure-showcase, vision-agent, axton-obsidian-visual-skills. 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: