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 lexmount · Agent Tool · ★ 2.0k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is moli safe to install? View the security audit →
Moli English | 简体中文 | 日本語 | Deutsch | Français | Español Moli is a production-ready headless browser for AI agents. Its on-demand layout and rendering design combines a complete browser runtime with a lightweight resource footprint. Moli helps your AI agent fetch and extract web pages, search the web, and automate browser tasks. Use it through the CLI, CDP, WebDriver Classic, or WebDriver BiDi. Moli supports Linux, macOS, and Windows. Quick start Give this prompt to your AI agent: Direct installation On Linux or macOS: sh curl --proto '=ht
| Stars | 1,976 |
| Forks | 135 |
| Language | Rust |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 65.1347170815579/100 |
| Open Issues | 100 |
| Last Updated | 2026-09-14 |
| Created | 2026-08-10 |
| Platforms | browser, rust |
| Est. Tokens | ~25k |
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moli is Best headless browser for AI agents. Lite, Fast, High-Compatibility. Built in Rust. It is categorized as a Agent Tool with 2.0k GitHub stars.
moli is primarily written in Rust. It covers topics such as ai-agents, ai-tools, browser.
You can find installation instructions and usage details in the moli GitHub repository at github.com/lexmount/moli. The project has 2.0k stars and 135 forks, indicating an active community.
moli is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to moli on Agent Skills Hub include crw, brightdata-mcp, webclaw. 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: