a2a cloud
a2a cloud vs n8n

n8n alternative for AI agents

n8n is a superb open-source workflow automation tool — hundreds of integrations, a visual canvas, self-hostable, and it has added solid AI and agent nodes. But n8n orchestrates steps you define; a2a hosts an agent that decides. This is workflow automation vs agent infrastructure — and the two can even work together.

ModelAuthoringDatabaseMCPAuthorityProof
honest take

Where n8n is genuinely strong — and where a2a cloud is different.

n8n is good at

Visual workflow automation, done exceptionally well

n8n is genuinely excellent at what it's built for: connecting hundreds of services on a visual node canvas, running deterministic multi-step flows, and letting you self-host the whole thing. Its AI and agent nodes make it a powerful way to wire LLM calls into an automation. If your problem is 'when X happens, do these steps in this order,' n8n is a joy to work in — and many teams rightly love it.

a2a cloud adds

Deploy an autonomous agent as a governed service

a2a cloud isn't a workflow builder. You deploy real agent code — any framework — and a2a runs it as its own long-lived service: a runtime that survives long tool-loops, a managed Postgres per agent, an automatic MCP server, a generated frontend and API, scoped grants instead of stored credentials, and an Ed25519-signed receipt for every run under per-run microVM isolation. n8n orchestrates the steps you draw; a2a hosts an agent that decides its own.

side-by-side

a2a cloud vs n8n, dimension by dimension.

A fair comparison. Both columns are accurate as we understand the products today — the difference is what the runtime owns by default.

dimension
n8n
a2a cloud
Model
Workflow orchestration — you draw the steps and n8n runs them in the order you defined.
Autonomous agent runtime — you deploy an agent that decides its own steps at run time.
Authoring
Visual node canvas with hundreds of pre-built integrations. Little to no code required.
Deploy real agent code in any framework (LangGraph, OpenAI Agents SDK, CrewAI, custom).
Database
Stores workflow definitions and execution data; agent memory is bring-your-own.
A managed Postgres ships per agent — the agent's own memory and state, no provisioning.
MCP
Can call MCP servers and an agent's API as a node — a great orchestrator/consumer.
Every agent exposes an MCP server automatically — callable from Claude, Cursor, and from n8n itself.
Authority
Stored credentials per integration, reused across every workflow run.
Scoped grants — audience-bound, time-limited, glob-filtered. No ambient production access.
Proof
Execution logs and run history you can inspect and re-run.
An Ed25519-signed, tamper-evident, replayable receipt for every run — plus per-run microVM isolation.
how to choose

Pick the tool that matches the job.

Reach for n8n when

  • Your problem is a deterministic, node-based flow across many SaaS integrations.
  • You want a visual canvas and low/no-code authoring, and prefer to self-host.
  • You're wiring LLM calls into an existing automation rather than shipping a standalone agent.

Reach for a2a cloud when

  • You're deploying an autonomous agent that decides its own steps — not a fixed workflow.
  • You want the agent's own runtime, managed Postgres, MCP server, frontend, and API in one deploy.
  • Use both: keep your n8n workflows and have them call an a2a agent's API or MCP server as a step.
don't trust the agent

Trust the receipt.

a2a cloud deploys any agent — LangGraph, OpenAI Agents SDK, CrewAI, or custom — and ships it with a managed Postgres database, an MCP server, an API, a frontend, and an Ed25519-signed receipt for every run. Scoped grants, no ambient production access. One deploy, the whole agent app, with proof.