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 simstudioai · Agent Tool · ★ 29.7k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is sim safe to install? View the security audit →
Build and deploy AI agent workflows in minutes. <a href="https://cursor.com/link/prompt?text=Help%20me%20set%20up%20Sim%20locally.%20Follow%20these%20steps%3A%0A%0A1.%20First%2C%20verify%20Docker%20is%20installed%20and%20running%3A%0A%20%20%20docker%20--version%0A%20%20%20docker%20info%0A%0A2.%20Clone%20the%20repository%3A%0A%20%20%20git%20clone%20https%3A%2F%2Fgithub.com%2Fsimstudioai%2Fsim.git%0A%20%20%20cd%20sim%0A
| Stars | 29,707 |
| Forks | 3,842 |
| Language | TypeScript |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 65.2574720742818/100 |
| Open Issues | 372 |
| Last Updated | 2026-09-23 |
| Created | 2025-01-05 |
| Platforms | docker, gemini, node |
| Est. Tokens | ~17k |
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sim is Sim is the collaborative workspace to build, deploy, and monitor AI agents and workflows. Used by 100,000+ builders.. It is categorized as a Agent Tool with 29.7k GitHub stars.
sim is primarily written in TypeScript. It covers topics such as agent-workflow, agentic-workflow, agents.
You can find installation instructions and usage details in the sim GitHub repository at github.com/simstudioai/sim. The project has 29.7k stars and 3842 forks, indicating an active community.
sim is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to sim on Agent Skills Hub include repomix, dyad, ai. 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: