Agent builders

Bonito vs n8n

Workflow automation with agents vs. an AI control plane

n8n is a fair-code workflow automation platform with 500+ integrations that has become a major AI agent builder through its AI Agent node and standalone Agent Builder, in the cloud or self-hosted. It is strongest when agents are one step in a larger automation. Bonito focuses on the model layer and governance under agents: a gateway with failover and cost routing, per-agent budgets and residency pinning.

n8n pricing

Cloud Starter €20/mo (2.5K executions), Pro €50/mo, Business €667/mo (self-hosted, SSO), Enterprise custom. Community edition free, self-hosted.

Model costs

Your own keys by default. Optional Gateway credits on Starter and Pro are billed at providers' list prices.

What n8n does well

  • Deterministic workflows and agents on one canvas, with a free self-hosted Community edition
  • 500+ integrations, and agents that publish to Slack, Telegram and Linear
  • Simple pricing: one workflow run or agent turn is one execution
  • Tool-level human approvals, schedules, a guardrails node and built-in evaluations
  • MCP both ways: MCP client tool, MCP server trigger and an instance-level MCP server

Where Bonito goes further

  • An OpenAI-compatible gateway your apps and agents share, with one set of keys, logs and costs
  • Automatic failover to an equivalent model across providers, not a backup model wired into each node
  • Dollar budgets per agent and cost per request, agent, team and provider
  • Default-deny tool policies per agent
  • Data residency pinning to CA, US or EU on the cloud product
  • Agents, gateway and knowledge bases declared in one bonito.yaml

Where n8n is ahead of Bonito

  • Connector breadth (500+ integrations)
  • Free self-hosting
  • General workflow automation beyond AI
  • Large community and template library

Capability by capability

CapabilityBoniton8n
Agents
Build and run agentsYesYes
Approval queue and scheduled runsYesYes
Dollar budgets per agentYesNonot found in their docs (Sep 2026)
MCP supportYesYes
Routing
OpenAI-compatible gatewayYesNonot found in their docs (Sep 2026); workflows exposed as webhooks and MCP
Automatic failover across providersYesPartialfallback model you set per node
Cheaper models for simple work (cost routing)YesPartialModel Selector routes on conditions you define
Bedrock, Vertex, Azure and direct providers in one placeYesYes
Semantic cachingNoNonot found in their docs (Sep 2026)
Governance
SSO, RBAC and audit logYesPartialSSO and RBAC on paid plans; audit via log streaming
Data residency pinningYesPartialCloud hosted in the EU; any region when self-hosted
Observability and knowledge
Agent traces with cost per request and agentYesPartialper-execution logs and token usage; no agent span tree
Knowledge bases (RAG)YesPartialvector store nodes you assemble
How you run it
Whole stack from one config fileYesPartialCLI import and export, Git environments; workflows are JSON
Self-hosted or open sourcePartialYesfair-code Sustainable Use License, not OSI open source
No markup on inferenceYesYes

Checked against n8n's own documentation on 2026-09-27. Products change quickly; if something here is out of date, tell us at hello@trybonito.com and we will fix it.

Sources

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