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AgenteAbierto · YouTube Analyzer

DocType: YouTube Video

Reproductor de Video

Campo embed (DocField):
embed · Text/HTML

We're building a way for AI models to connect to any device and run real experiments.

Todos los campos y metadatos del DocType YouTube Video · agenteabierto_web
Documento activo
nameData · PK
Identificador único del documento. Clave primaria autogenerada por Frappe Framework.
djVUCj5i4sw
titleData · Req
Título descriptivo del video de YouTube. Campo de texto principal visible en listas y vistas.

None

embedText · HTML
Código embed de YouTube (iframe). Este campo alimenta directamente el reproductor. Contiene la URL con video ID y parámetros.
None
youtube_urlData · URL
URL completa del video en YouTube. Usada para extraer el video_id y construir el embed dinámicamente.

None

descriptionText · Long
Descripción detallada del contenido del video. Puede incluir resumen, puntos clave, transcripción parcial o notas del editor.
None
categoryLink · Select
Categoría temática del video. Permite clasificar y filtrar el contenido por área de conocimiento o temática.
None

Campos del Sistema Frappe

ownerData · System

Administrator

creationDatetime · Auto
2026-08-27 18:00:58.860199
modifiedDatetime · Auto
2026-10-11 18:01:49.431374
modified_byData · System
Administrator
docstatusInt · 0=Draft 1=Sub 2=Can

0

Mapa de DataKeys y Fieldnames

fieldnamefieldtypedata_key
nameDatadjVUCj5i4sw
title

Data

We're building a way for AI models to connect to any device and run real experiments.
embedTexthttps://www.youtube.com/embed/djVUCj5i4sw
youtube_urlDatahttps://www.youtube.com/watch?v=djVUCj5i4sw
descriptionLong TextScientists spend a significant amount of their time just getting their devices to communicate with one another. Each device tends to have its own programming interface, and so far there has been no standardized way to integrate them, or to allow them to connect to AI. The Model Hardware Standard (MHS) gives AI models one common way to connect to lab and manufacturing equipment and operate it safely, with limits built into each device. MHS started as a collaboration between Anthropic and HHMI Janelia Research Campus, and is beginning as a research preview with partners across science, robotics and manufacturing.

category

Link

doc.category
published_dateDate2026-08-27 19:42:35
is_publishedCheck0