aamp vs n8n, make.com & Direct APIs — Agent Control Plane Compared
How we differ

They connect apps. We govern agents.

Make and n8n are good at wiring services together. That is a real problem and they solve it well.

It is a different problem from putting an autonomous agent next to your ERP and being able to say what it did, prove where the data went, and show what it cost. Connection stops being the hard part the moment the agent starts acting on its own.

01 · Detailed comparison

Four dimensions, side by side. Words, not ticks.

Symbols read as marketing. Words read as documentation. Scroll sideways on a narrow screen to reach every column.

Dimension aamp n8n make.com Direct LLM APIs
Group A · Security and sovereignty
Control plane ownershipYours, host-sideYours if self-hostedVendor cloud onlyVendor cloud
Data residencyProperty of your deploymentConfigurable when self-hostedRegion option, vendor-operatedRegion option, vendor-operated
Prompt retention exposureNo third party involvedDepends on model providerDepends on model providerContractual
Secret handlingHost-held, encrypted at restPlatform credential storeVendor cloudYour application's problem
Agent execution boundarySandboxed — filesystem, exec and network scopedNoneNoneNone
Outbound network controlHost proxy with domain rulesLimitedNoNo
Content safety filteringInbound and outbound firewallsNoNoProvider-side only
Audit trail depthPrompt, retrieval, tool call, output, spendExecution logsOperation logsAPI logs
Evidence for compliance workProduced by operationBuild it yourselfBuild it yourselfBuild it yourself
Group B · Cost
Pricing modelSelf-hosted, no per-operation chargePer execution or self-hostPer operationPer token plus platform overhead
Cost as automation growsFlatRises with executionsRises with operationsRises with tokens
Tiered routingBuilt inBuild it yourselfNoNo
Agent loop budgetsBuilt inNoNomax_tokens only
Reasoning-token controlPer-agent effort capsNoNoPer-call parameter
Cost attributionPer agent, workflow and modelPer executionPer operationAggregate per key
Infrastructure overheadSingle binary and SQLiteNode runtime and databaseNone, hostedNone, hosted
Group C · Model freedom
Provider bindingPer agent, workflow, capabilityConnector-levelConnector-levelSingle vendor
Local open-weight modelsFirst classSelf-managedNot a focusNo
Open-source models on your hardwareNative engines — vLLM, Ollama, LocalAI, TGI, with 0% token markupHTTP node to an endpoint you operateNot supportedNot applicable
Cost of switching modelConfiguration changeRewire connectorsRewire scenariosApplication rewrite
Fallback routingDesigned inManualManualNone
Mixed local and hostedNativePossible, unsupportedNoNo
Exposure to one vendor's roadmapNoneLowMediumTotal
Group D · Operations and fit
Systems with no APIAdapter layer, core use caseConnector-dependentConnector-dependentNot addressed
Deterministic workflowsInspectable, host-sideVisual, versionedVisualNo
Scheduled automationHost scheduler with run historyYesYesNo
Grounded retrievalHost-managed ingestion and retrievalVia connectorsVia connectorsBuild it yourself
External endpointsOpenAI-compatible, policy-enforcedWebhooksWebhooksDirect API
Deployment requirementLinux host with KVMNode.js or hostedNoneNone
Time to first resultHoursHoursMinutesMinutes

Read the column that matches your requirement.

02 · Head to head

Where each alternative actually sits.

vs. n8n

n8n self-hosts, and that is real — do not let anyone tell you otherwise. The difference is not where it runs. It is what governs it once it is running. n8n is a workflow engine with AI nodes attached: no tiered routing, no loop budgets, no token-level attribution, no sandboxing of what an agent can touch. You can build that layer on top. aamp is that layer.

vs. make.com

Their control plane is their cloud, and their pricing scales with the thing you want more of. Every operation bills. Sovereignty is a region setting rather than a property of the architecture. For business users wiring SaaS tools together, that trade is often worth it. For an agent acting next to regulated data, it is not.

vs. direct LLM APIs

You are buying a model, not a platform. Governance, routing, cost ceilings, audit trail and legacy integration are all yours to build — and the architecture is now a bet on one vendor's pricing, terms and availability. One frontier model was suspended globally for nineteen days this summer. Fallback should not be improvised.

Still the right fit?