riffrec 是 AI Skill Hub 本期精选Agent工作流之一。综合评分 7.5 分,整体质量较高。我们推荐使用将其纳入你的 AI 工具库,帮助提升工作效率。
riffrec 是一套完整的 AI Agent 自动化工作流方案。通过可视化的节点编排,将复杂的多步骤任务拆解为清晰的自动化流程,实现全程无人值守的智能处理。支持与数百种外部服务和 API 无缝集成,适合构建数据处理管线、业务自动化和 AI 辅助决策系统。
riffrec 是一套完整的 AI Agent 自动化工作流方案。通过可视化的节点编排,将复杂的多步骤任务拆解为清晰的自动化流程,实现全程无人值守的智能处理。支持与数百种外部服务和 API 无缝集成,适合构建数据处理管线、业务自动化和 AI 辅助决策系统。
# 方式一:npm 全局安装 npm install -g riffrec # 方式二:npx 直接运行(无需安装) npx riffrec --help # 方式三:项目依赖安装 npm install riffrec # 方式四:从源码运行 git clone https://github.com/kieranklaassen/riffrec cd riffrec npm install npm start
# 命令行使用
riffrec --help
# 基本用法
riffrec [options] <input>
# Node.js 代码中使用
const riffrec = require('riffrec');
const result = await riffrec.run(options);
console.log(result);
# riffrec 配置说明 # 查看配置选项 riffrec --config-example > config.yml # 常见配置项 # output_dir: ./output # log_level: info # workers: 4 # 环境变量(覆盖配置文件) export RIFFREC_CONFIG="/path/to/config.yml"
riffrec captures golden feedback: high-signal product sessions with screen video, microphone narration, clicks, navigation, network outcomes, and console errors. Use it as a React package or as a standalone macOS feedback browser.
There are already great tools for analytics and passive session replay. Riffrec is for the moments you intentionally turn on recording and capture the gold: the bug reproduction, the confused reaction, the broken flow, the product insight. In the age of AI slop, Riffrec gives agents concrete evidence instead of vague prompts.
Riffrec does not analyze sessions and does not call an LLM. It writes local session files that agents, teammates, or Compound Engineering can inspect after recording.
Use the hook when you want to build your own recording controls:
const { start, stop, status } = useRiffrec();
status is one of "idle", "recording", "stopping", "disabled", or "error". While recording, RiffrecProvider renders a fixed stop control above the host app so the user always has a clear "Stop and save" action. After the download starts, it shows a confirmation telling the user to share the zip for feedback. Host apps can customize that confirmation with downloadNoticeTitle and downloadNoticeMessage. stop() downloads a zip file and returns:
{
sessionPath: string | null;
method: "zip";
filesPresent: string[];
}
https:// website URL in the address bar. Local http://localhost URLs are supported for development feedback.Desktop sessions capture the webpage loaded inside Riffrec: screen video, optional microphone audio, DOM click element details, top-level navigation, network URLs/methods/statuses/durations, console errors, notes, and capture context. They do not capture activity in an existing Safari/Chrome/Arc tab, request or response bodies, typed values, or reliable internal React component names on third-party sites.
Riffrec stores website cookies and local storage only in its dedicated local browser profile so authenticated reproductions work. It stages in-progress and unsaved recording media locally for crash recovery; interrupted or damaged drafts remain on this Mac until saved or deleted with the recovery-data action in the app. Use Clear website sign-in data after recording on sensitive sites.
For a developer who can integrate Riffrec in a React app, the package can additionally identify React component context during feedback.
npm install riffrec
import { RiffrecProvider, RiffrecRecorder } from "riffrec";
export function App() {
return (
<RiffrecProvider>
<RiffrecRecorder />
{/* your app */}
</RiffrecProvider>
);
}
RiffrecRecorder renders a start/stop button, consent dialog, capture checklist, and recording indicator. start() must still be called from a user gesture such as a button click because browsers require that for screen recording.
高质量的开源AI工作流项目
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建议在沙箱或测试环境中充分验证后,再部署至生产环境,并做好必要的安全评估。
✅ MIT 协议 — 最宽松的开源协议之一,可自由商用、修改、分发,仅需保留版权声明。
经综合评估,riffrec 在Agent工作流赛道中表现稳健,质量良好。如果你已有明确的使用需求,可以直接上手体验;如果还在评估阶段,建议对比同类工具后再做决策。
| 原始名称 | riffrec |
| 原始描述 | 开源AI工作流:Capture golden product feedback sessions with screen, voice, DOM, network, and c。⭐31 · TypeScript |
| Topics | typescriptaiworkflow |
| GitHub | https://github.com/kieranklaassen/riffrec |
| License | MIT |
| 语言 | TypeScript |
收录时间:2026-05-30 · 更新时间:2026-05-31 · License:MIT · AI Skill Hub 不对第三方内容的准确性作法律背书。
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