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 peterfei · Agent Tool · ★ 99
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is ifai safe to install? View the security audit →
若爱 (IfAI) — AI Agent 编排助手 & 代码编辑器 🚀 不只是编辑器，更是你的 AI Agent 编排助手 9+ 智能体协同 · DAG 工作流驱动 · 基于 Tauri 2.0 + React 19 的 AI 原生开发平台 简体中文 🎯 下载发布页 💡 为什么选择 IfAI? 在 AI 时代，编辑器不应只是代码的容器，而应是 AI 的躯体。IfAI 采用 AI 原生 (AI-Native) 架构，将推理能力深度植入内核，并提供完整的 AI Agent 编排 能力。 🤖 AI Agent 编排：9+ 专用 Agent 通过 DAG 工作流协同工作，YAML 声明式编排，自然语言一键触发。 ⚡ 极致性能：Rust 内核驱动，120 FPS 满帧渲染，即使在万级数据负载下依然丝滑。 🛡️ 隐私与本地优先：支持 Qwen2.5 等端侧模型，敏感代码不出本地，混合路由自动切换。 🐚 自主 Agent 进化：不止于对话，Agent 具备 Shell 级操控权，自动配置环境、执行任务、自我纠错。 📑 规范驱动 (OpenSpec)：深度融合 OpenSpec 协议，确保 AI 遵循工业级设计规范。 ✨ 核心特性 🎯 AI Agent 编排引擎 9+ 专用 Agent：Explore / Review / Refactor / Test / Doc / Plan / ReAct / Git Commit / Debug，各司其职 DAG 工作流引擎：YAML 声明式工作流定义，拓扑排序调度，支
| Stars | 99 |
| Forks | 18 |
| Language | TypeScript |
| Category | Agent Tool |
| Quality Score | 58.724734806794/100 |
| Open Issues | 2 |
| Last Updated | 2026-06-10 |
| Created | 2025-12-13 |
| Platforms | claude-code, node |
| Est. Tokens | ~26551k |
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ifai is 若爱 (IfAI) — AI Agent 编排助手 & 代码编辑器 | An AI Agent Orchestrator & Code Editor built with Tauri 2.0. It is categorized as a Agent Tool with 99 GitHub stars.
ifai is primarily written in TypeScript. It covers topics such as agent-orchestrator, ai, ai-agent.
You can find installation instructions and usage details in the ifai GitHub repository at github.com/peterfei/ifai. The project has 99 stars and 18 forks, indicating an active community.
The top alternatives to ifai on Agent Skills Hub include TEDI, yume, lovcode. 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: