n8n vs Relay.app

The core difference

n8n and Relay.app both automate workflows, but they are built around different assumptions. n8n assumes the workflow runs unattended: a trigger fires, nodes execute in sequence or in parallel, and the run finishes without a human touching it. Everything in the product — branching, looping, sub-workflows, the code node — optimises for headless automation that just works while nobody is watching.

Relay.app assumes a human is often part of the loop. Its defining feature is first-class human-in-the-loop steps: a workflow can pause, route a drafted email or a proposed action to a person, and wait for that person to approve, edit, or reject before continuing. This makes it a natural fit for AI-assisted work where the model produces a draft and a human signs off, rather than fully autonomous automation.

That single design choice decides most comparisons. If your workflow should run to completion without supervision, n8n is the stronger engine. If a person must review or approve something partway through — especially AI-generated content — Relay.app makes that a built-in step rather than a webhook-and-wait hack.

Human-in-the-loop

This is where Relay.app is purpose-built. Approval steps, edit steps, and assignment steps are first-class blocks on the canvas: the workflow can present a model-drafted reply for a human to tweak, ask for a yes/no before sending an email, or route a task to a specific teammate and wait. The waiting, the notification, and the resume are all handled by the platform, so building a review gate is a matter of dropping in a step.

n8n can do human-in-the-loop, but it is a build-your-own pattern. You pause a workflow with a Wait node set to resume on a webhook, send a notification with an approve/reject link, and stand up an endpoint (or a form) that resumes the run when the human clicks. It works and it is fully controllable, but it is several moving parts you assemble and maintain rather than a single native step. For workflows where approvals are the point, Relay.app removes real friction.

Workflow power and code

n8n is the more powerful automation engine. The editor exposes IF, Switch, and Merge nodes, looping over arrays, sub-workflows that call other workflows with typed inputs, and a Code node that runs JavaScript or Python with full access to the upstream payload. When no-code hits a ceiling, you drop into code without leaving the platform, and complex multi-branch workflows past a dozen steps remain expressible on one canvas.

Relay.app deliberately keeps the model simpler. Workflows are cleaner and more linear with branches, tuned for readability and for the review-and-approve pattern rather than for deep programmatic control flow. There is no full code-node escape hatch on the level of n8n, so automations that need heavy custom logic, npm packages, or intricate looping fit n8n better. The trade Relay.app makes is approachability: a non-engineer can read and build a Relay workflow more easily than a dense n8n graph.

AI

Both lean into AI, but from different angles. n8n ships an AI Agent node, LangChain wrappers, a chat-memory node, and direct integrations with the major vector stores (Pinecone, Qdrant, Supabase pgvector, Weaviate), plus model nodes for OpenAI, Anthropic, Google, Mistral, and self-hosted providers through Ollama. It is the better home for a tool-using agent, a RAG pipeline, or a multi-step LLM chain that runs unattended.

Relay.app treats AI as a step that produces structured output a human can then review. The model drafts a reply, classifies a ticket, or proposes an action, and the workflow routes that output into an approval or edit step before anything ships. For AI-assisted work where the value is a human catching the model’s mistakes before they go out the door, Relay.app’s pairing of native AI steps with native approval steps is more coherent than bolting an approval gate onto an n8n agent.

A useful filter: if the AI should act autonomously, n8n; if the AI should draft and a human should approve, Relay.app.

Self-hosting and ownership

This is the cleanest structural split. n8n ships a Docker image, a Compose stack, and a Helm chart; SQLite covers small installs, Postgres covers production, and Redis enables queue mode for multi-worker scaling. The Sustainable Use License is free for internal use and modification, workflows export as JSON that lives in version control, and the whole stack can run in your own jurisdiction. For teams with data-residency, air-gap, or vendor-independence requirements, this is decisive.

Relay.app has no self-hosted edition. Every workflow runs in Relay’s cloud, which is fine for the majority of teams and a hard stop for anyone who must keep data on their own infrastructure. There is also no clean export to an open-source runtime, so the platform cannot be taken in-house later. The upside of the same decision is zero operations: no backups, no upgrades, no on-call — Relay owns the runtime, secrets, retries, and scaling.

Integrations

n8n ships around 400 native nodes plus a thousand-plus community nodes, covering the databases, queues, observability tools, and SaaS apps most teams touch, with the generic HTTP Request node filling the long tail. The community-node ecosystem and npm imports in code nodes mean a missing integration is rarely a blocker.

Relay.app’s catalog is smaller and younger, focused on the mainstream business apps that show up in approval-driven workflows — email, Slack, calendars, CRMs, and the like. For the long tail it leans on HTTP and its growing connector list rather than a deep community ecosystem. If your automation depends on an obscure tool, n8n is the safer bet on coverage.

Who should choose n8n

n8n is the right call for teams with at least one engineer, workflows that touch internal systems alongside SaaS, and a preference for the option to self-host. The execution-priced cloud is predictable no matter how complex a workflow grows, the Code node closes the gap on any missing integration, the AI and community-node ecosystems are the deepest in the category, and self-hosting delivers data residency, vendor independence, and version-controlled JSON workflows a cloud-only tool cannot match. If the workflow is the automation and it should run unattended, start here.

Who should choose Relay.app

Relay.app is the right call when a human is a required step inside the workflow. Teams that draft outreach with AI and want a person to approve before it sends, ops teams routing tasks and approvals between teammates, and anyone whose automation is really a review-and-approve pipeline get first-class steps for exactly that, wrapped in an approachable UX a non-engineer can maintain. The pairing of native AI steps with native approval steps makes human-in-the-loop AI work coherent in a way that bolting a gate onto a general automation engine is not. Just go in knowing it is cloud-only with no self-host exit and a smaller integration catalog.