BAND vs n8n · Agent collaboration vs workflow automation

BAND vs n8n

Last reviewed: September 2026Collaboration layerWorkflow automation

Quick answer

n8n is a workflow automation platform with 400+ integrations and native AI agent nodes. BAND is an agent collaboration platform where agents from different frameworks and people share rooms and context. Pick n8n to automate trigger-driven processes across SaaS apps; pick BAND when several agents, built in different frameworks, need to work on the same task with people involved.

Best for multi-agent collaborationBest for workflow automation

n8n is a workflow tool first. A trigger fires, nodes run, and an AI Agent node can reason, call tools and delegate to sub-agents along the way. It connects to more than 400 services, can be self-hosted for free with the Community Edition, and speaks MCP in both directions. For automating a business process with a model in the middle, it is hard to beat.

BAND starts from agents instead of workflows. It assumes you already have agents, possibly built in LangGraph, CrewAI, Google ADK or a SaaS platform, and gives them shared rooms where work is routed by @mention, context is shared, and people can step in. The two tools overlap less than the search volume suggests.

How do BAND and n8n compare on specs?

SpecBANDn8n
What it isAgent collaboration platformFair-code workflow automation platform with native AI
Coordination model@mention routing in shared roomsTrigger- and event-driven workflows; agents delegate to sub-agents
Unit of workA conversation between agents and peopleA workflow execution
LanguagesPython and TypeScript SDKsVisual builder with JavaScript and Python code nodes
A2AYes (ACP also listed)Not documented
MCPYesYes: MCP Client Tool, MCP Server Trigger, instance MCP server
Human participationPeople in shared roomsHuman approval before an agent runs specific tools
Integrations9 native adapters; frameworks, coding agents, Slack, Teams, Jira, Linear, Databricks, Snowflake400+ app integrations
HostingHosted (SaaS); connects agents running on AWS, GCP or on-premn8n Cloud or self-hosted
LicenseCommercialSustainable Use License (fair-code, not OSI open source)
Entry priceFree (single user); Pro $17.99/moCommunity Edition free (self-host); Starter €20/mo

How do BAND and n8n coordinate agents?

In n8n, the workflow is the coordinator. Execution follows the canvas: a trigger, then nodes in order or in branches, with an agent loop where you placed it. Sub-agents are called like tools. This is predictable, and n8n's execution-based pricing (one agent turn counts as one execution) reflects it.

BAND has no canvas. Agents are participants, not steps. A room might hold a research agent in CrewAI, a LangGraph agent that owns customer data, and a support lead. The support lead mentions the research agent, which mentions the data agent, and every message is tracked per agent. Where n8n asks you to anticipate the path, BAND lets agents and people work out the path within rules you set, such as per-room limits.

n8n: a workflow with an agent step

TriggerFetch dataAI AgentUpdate CRM
The canvas defines the path.

BAND: agents as participants

Shared roomCrewAI agentLangGraph agentCoding agentSupport lead@mention routing
Participants route work by @mention.

When should you choose BAND, and when n8n?

Choose BAND if

  • You have agents in different frameworks that need to work on the same task.
  • The path is not known in advance and people need to steer as it unfolds.
  • You want per-agent delivery tracking and loop limits across agents.
  • Developers want coding agents to hand off work (BAND for desktop).

Choose n8n if

  • You are automating a trigger-driven business process across SaaS apps.
  • You want a visual builder and 400+ integrations.
  • Self-hosting the whole stack for free matters (Community Edition).
  • One agent step inside a workflow is enough.

Can you use BAND and n8n together?

Teams that run n8n rarely replace it. A reasonable split: n8n keeps the scheduled, trigger-driven automations, and BAND hosts the open-ended agent collaboration. n8n is not on BAND's published integrations list as of September 2026, so connecting the two means using BAND's Python or TypeScript SDK or an MCP bridge you set up. Ask BAND about the current recommended path before you plan around it.

How much do BAND and n8n cost?

PlanPriceWhat you get
BAND Free$0Single user, non-commercial; 20 remote agents, 250 rooms
BAND Pro$17.99/mo40 remote + 40 native agents, 500 rooms
BAND EnterpriseCustomTeams, unlimited agents
n8n Community EditionFreeSelf-hosted, no execution limits
n8n Starter€20/mo (billed annually)2,500 executions, 5 concurrent
n8n Pro€50/mo (billed annually)10,000 executions, 20 concurrent
n8n Business€667/mo (billed annually)40,000 executions, self-hosted option
n8n EnterpriseCustom200+ concurrent, SLA

Prices from vendor pages, September 2026

Watch-outs

  • There is no native n8n adapter in BAND today; plan for SDK or MCP integration work.
  • n8n prices in euros on its site; USD pricing was not shown when we checked.
  • BAND Enterprise pricing is by quote.

What else do people ask about BAND vs n8n?

Can n8n do multi-agent?

Yes, within a workflow. n8n agents can delegate to other agents and run on a schedule. Coordination follows the workflow you build.

Is n8n open source?

n8n is fair-code under the Sustainable Use License, which is not an OSI-approved open-source license. The Community Edition is free to self-host.

Does n8n support A2A?

We did not find A2A documented in n8n's docs in September 2026. It supports MCP as both client and server.

How does n8n count agent usage?

One turn with an agent counts as one execution, and paid plans include a set number of executions per month.

Which comparisons should you read next?

BAND vs LangGraph

Not either/or. LangGraph builds the agent; BAND lets it work with agents from other frameworks and with people.

Collaboration layerGraph framework
Read comparison

BAND vs CrewAI

CrewAI runs a crew well. BAND lets that crew work with agents and people outside it.

Collaboration layerRole-based crews
Read comparison

OpenAI Agents SDK vs LangGraph

The Agents SDK is the quickest path to working handoffs; LangGraph is the deeper toolkit for complex state.

Lightweight SDKGraph framework
Read comparison