AutomationCAN I VIBECODE
n8n Cloud?
BUILD FIRST
- One defined user and a repeatable end-to-end job
- A small, clear data model with sign-in only if it is genuinely needed
- Loading, empty, error, and success states that make the workflow feel complete
LEAVE FOR LATER
- Large integration marketplaces
- Multi-region scale and enterprise administration
- Every power-user setting from the established product
RESEARCH NOTES
What this tool actually does.
n8n Cloud is the hosted SaaS edition of n8n, a fair-code AI workflow automation platform. Users build automations and AI agents on a visual canvas by connecting nodes: 400+ pre-built integrations, code nodes (JavaScript/Python), custom HTTP/GraphQL requests, cURL import, and triggers (cron schedules, webhooks, chat, app events). AI features include multi-model agents, RAG, LangChain, MCP support, and human-in-the-loop approvals. Cloud plans (Starter ~€20/mo, Pro ~€50/mo, Enterprise custom) are metered by monthly workflow executions and AI credits, with fixed concurrency (5/20/50/200+), RAM/CPU limits (320MiB–4GiB), and execution-log retention (7/14/30 days). Pro adds admin roles, global variables, workflow history, and execution search; Enterprise adds unlimited projects, log streaming, external secret stores, and SLA. Cloud instances cannot set environment variables, custom domains, DB
RESEARCHED BUILD PROMPT
Give this to your coding agent.
Build a self-hostable web app recreating the core n8n Cloud workflow: a visual, node-based automation builder where users drag connected steps (triggers, actions, logic, code, AI) onto a canvas, configure each node in a side panel, and see live input/output data beside settings. Workflow: user signs up, creates a workflow from a blank canvas or template, wires nodes (e.g., Webhook → Code → HTTP Request → AI Chat), tests by executing a single step or replaying saved data, then activates it on a schedule or webhook and monitors execution history. User-facing requirements: drag-and-drop canvas with node palette and edges; per-node config panel; inline execution results; run-step and replay debugging; execution history with status and logs; projects/shared workflows with role-based access; global variables; webhook and cron triggers; an AI node supporting multiple model providers; admin roles. Technical requirements: Node.js backend with a DAG workflow engine (queue-based, concurrency-limited), Postgres for workflow definitions and execution logs, WebSocket/SSE for live updates, JWT auth, REST API for workflows and executions, React frontend with a graph editor (e.g., React Flow or custom SVG canvas). Meter usage by monthly executions and AI credits; prune logs per retention policy. Do not copy n8n's brand, logo, node icons, or UI styling; design an original visual language. Out of scope: multi-main clustering, custom domains, environment-variable management, external secret stores, SIEM log streaming, mobile apps, and the full 400+ integration catalog (ship ~10 representative connectors). Include a README covering setup (env vars, DB migration, seed data), architecture overview, and known limitations (single-instance queue mode, fixed concurrency, no custom domains).