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 Stack-Cairn · MCP Server · ★ 2.2k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is LiveAgent safe to install? View the security audit →
LiveAgent Your Local-First AI Agent Desktop Multi-model access · Local tool execution · MCP & Skills ecosystem · Remote Gateway English | 简体中文 Core Features • Download & Deployment • FAQ • Docs 🌟 Special Thanks 学AI，上L站！祝小破站越来越好～ ❤️ Sponsor
| Stars | 2,170 |
| Forks | 246 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 64.965930238854/100 |
| Open Issues | 60 |
| Last Updated | 2026-09-20 |
| Created | 2026-05-24 |
| Platforms | browser, claude-code, cli, codex, mcp, node |
| Est. Tokens | ~18k |
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LiveAgent is A fully functional AI Agent desktop client that supports Webui access and can be creatively customized and expanded!. It is categorized as a MCP Server with 2.2k GitHub stars.
LiveAgent is primarily written in TypeScript. It covers topics such as ai-agents, ai-tools, claude-code.
You can find installation instructions and usage details in the LiveAgent GitHub repository at github.com/Stack-Cairn/LiveAgent. The project has 2.2k stars and 246 forks, indicating an active community.
LiveAgent is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to LiveAgent on Agent Skills Hub include OpenContext, awesome-hermes-agent, open-cowork. 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: