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 TheSyart · Agent Tool · ★ 185
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is emperor-agent safe to install? View the security audit →
Emperor Agent · 皇帝智能体 本地运行的个人 Python 智能体 多 Provider · 三层记忆 · 子代理派遣 · 流式 WebUI · 像素风纸质美术 用户下旨，主智能体（"大内总管"）统筹上下文、工具、记忆与子代理；把任务拆解、执行、校验后回禀。 项目重点不是教学材料，而是一个可持续演进的个人 Agent 工程。 ✨ 快速开始 Python 后端 CLI 模式 bash empe
| Stars | 185 |
| Forks | 42 |
| Language | TypeScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 63.0300596657645/100 |
| Open Issues | 2 |
| Last Updated | 2026-08-12 |
| Created | 2026-05-03 |
| Platforms | browser, node |
| Est. Tokens | ~23k |
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emperor-agent is Local Emperor-style AI agent with Vue WebUI, multi-provider LLMs, streaming chat, tools, skills, memory, and token telemetry.. It is categorized as a Agent Tool with 185 GitHub stars.
emperor-agent is primarily written in TypeScript. It covers topics such as ai-agent, aiohttp, deepseek.
You can find installation instructions and usage details in the emperor-agent GitHub repository at github.com/TheSyart/emperor-agent. The project has 185 stars and 42 forks, indicating an active community.
emperor-agent is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to emperor-agent on Agent Skills Hub include chibi, bridgic, doc-to-lora. 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: