Esta página se muestra en inglés. Una traducción al español está en curso.
SkillsMay 12, 2026·2 min de lectura

RocketRide — Visual AI Pipelines + Observability

RocketRide is an IDE extension + server runtime for visual `.pipe` AI workflows with tracing; build pipelines in the canvas and deploy via Docker/on-prem.

AI Open Source
AI Open Source · Community
Listo para agents

Este activo puede ser leído e instalado directamente por agents

TokRepo expone un comando CLI universal, contrato de instalación, metadata JSON, plan según adaptador y contenido raw para que los agents evalúen compatibilidad, riesgo y próximos pasos.

Native · 98/100Política: permitir
Superficie agent
Cualquier agent MCP/CLI
Tipo
Skill
Instalación
Single
Confianza
Confianza: Established
Entrada
Asset
Comando CLI universal
npx tokrepo install 03e2e98b-6717-5a24-b8c2-3d35b7bd17fe
contrato de instalaciónJSON de metadataplan adaptadorcontenido raw
Introducción

Build and run AI pipelines with a visual .pipe workflow format, then inspect traces (call trees, token usage, memory) to tune before production.

Best for: Teams shipping multi-step AI workflows who want a visual builder plus observability from day one

Works with: RocketRide IDE extension; Docker/on-prem server runtime; Python and TypeScript SDKs (per README)

Setup time: 10–25 minutes

Key facts (verified)

  • README highlights 50+ pipeline nodes and mentions 13 LLM providers plus multiple vector DBs.
  • Docker example maps port 5565:5565 for the runtime container (per README quick start).
  • README includes an Observability section describing tracing of call trees, token usage, and memory consumption.
  • GitHub: 2,480 stars · 454 forks; pushed 2026-05-12 (GitHub API verified).

Main

A pragmatic way to evaluate RocketRide:

  1. Install the IDE extension and create a tiny pipeline with a single source node (chat/webhook/dropper).
  2. Add one transform node (chunking, OCR, or NER) so you can see a meaningful trace.
  3. Run from the canvas and inspect tracing: confirm you can answer “what called what” and “where did tokens go”.
  4. When it’s stable, move the runtime to Docker/on-prem as the README shows, and treat the .pipe file as a deployable artifact.

The goal isn’t “more nodes”; it’s repeatable pipelines with observable cost and latency.

FAQ

Q: Do I need Docker to start? A: Not necessarily. The README describes a local (IDE-pulled) option and also provides Docker deployment steps.

Q: What is a pipeline file? A: The README says pipelines are recognized as *.pipe JSON objects rendered by the IDE canvas.

Q: Does it have observability? A: Yes. The README has an Observability section describing tracing and analytics for running pipelines.

🙏

Fuente y agradecimientos

Source: https://github.com/rocketride-org/rocketride-server > License: MIT > GitHub stars: 2,480 · forks: 454

Discusión

Inicia sesión para unirte a la discusión.
Aún no hay comentarios. Sé el primero en compartir tus ideas.

Activos relacionados

GDevelop — Build Games Without Coding Using Visual Event Logic

GDevelop is a cross-platform, open-source game creator with a visual "events" system instead of code. Build 2D (and basic 3D) games for every major platform, from beginners to indie pros.

Skills
AI Open Source

Webstudio — Open Source Visual Website Builder

Webstudio is an open-source Webflow alternative with a visual drag-and-drop editor, full CSS support, headless CMS integration, and self-hosting on Cloudflare.

Skills
AI Open Source

Tekton Pipelines — Cloud-Native CI/CD Primitives for Kubernetes

Tekton Pipelines is a powerful, flexible, open-source framework for creating CI/CD systems. It runs pipelines as native Kubernetes resources using Tasks, Pipelines and TaskRuns.

Skills
AI Open Source

Certimate — Self-Hosted SSL Certificate Automation with Visual Dashboard

An open-source ACME tool that automates the full lifecycle of SSL certificates — issuance, deployment, renewal, and monitoring — with a web-based visual dashboard. Supports major cloud providers and DNS services.

Skills
AI Open Source
◈Inicio🔍Buscar👤Yo