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Amazon Bedrock AgentCore vs n8n
Amazon Bedrock AgentCore
AWS platform for building, deploying, and operating AI agents
n8n
Platform for AI agents and workflows you can see and control, built visually or with code
Short answer
Amazon Bedrock AgentCore is AWS’s platform for building, deploying, and operating agents with any framework, while n8n describes itself as a platform for AI agents and workflows, built visually and with code, on n8n Cloud or self-hosted.Source 1, Source 2, Source 3 AgentCore’s registry can also list agents hosted outside AWS; n8n’s Agents, in preview, live in n8n projects.Source 1, Source 4
Where each one sits
Six layers of running AI agents at a company, and what each product’s own public sources say it covers.
These aren’t the same kind of product
Amazon Bedrock AgentCore
n8n
- Identity and access: Not publicly documented
- Agents across organizations: Not publicly documented
At a glance
What each one is
Amazon Bedrock AgentCore
Amazon Bedrock AgentCore is AWS’s platform for building, deploying, and operating agents with any framework and foundation model.Source 1 Its modular services, including Runtime, Gateway, Identity, Policy, Observability, and AWS Agent Registry, can be used together or independently.Source 1
n8n
n8n describes itself as a platform for AI agents and workflows, built visually and with code, on n8n Cloud or self-hosted.Source 2, Source 3 Its AI nodes are built on LangChain’s JavaScript framework.Source 7 Agents, in preview since September 2026, live in n8n projects alongside workflows.Source 4, Source 24
The differences that matter
How agents are built
Amazon Bedrock AgentCoreDevelopers write the agent loop in Python with a framework such as Strands, LangGraph, Google ADK, or OpenAI Agents, then deploy it to AgentCore Runtime.Source 1, Source 25
n8nAgents, in preview, are built in the Agent Builder from a model, instructions, and tools; n8n says workflows are built visually and with code.Source 2, Source 4
AgentCore also has a managed harness: specify a model, system prompt, and tools, and invoke the agent with one API call.Source 1
Where it runs
Amazon Bedrock AgentCoreA managed AWS service in AWS Regions, including GovCloud (US-West).Source 1, Source 5, Source 19 A self-hosted edition is not publicly documented.
n8nn8n Cloud stores data in Frankfurt, Germany; self-hosted n8n runs on your own infrastructure, on premises, or in a private cloud.Source 11, Source 20
On self-hosted n8n, air-gapped installs use a license certificate; otherwise the license key must ping n8n’s license server daily.Source 20, Source 26
Agents built elsewhere
Amazon Bedrock AgentCoreAWS says Agent Registry works with agents and MCP servers on AWS, on premises, or in other clouds.Source 1
n8nAgents, in preview, live in n8n projects.Source 4 Managing agents built outside n8n is not publicly documented.
Registry auto-detection currently covers AgentCore Runtimes and Gateways; other resources are published to the Registry as records.Source 12, Source 15
For security teams
What a security review asks, answered from each vendor’s public documentation.
Full comparison
18 criteria in five groups. Every cell links to its source, or says no public source answers it.
| Amazon Bedrock AgentCore | n8n | |
|---|---|---|
| What it is | ||
| What it is and who it’s for | An AWS platform to build, deploy, and operate agents with any framework and model, made of modular services you can use together or independently.Source 1 | n8n says it is a platform for AI agents and workflows, built visually and with code.Source 2 It runs on your infrastructure or n8n’s.Source 3 |
| Maturity | Generally available since October 2025.Source 19 AWS Agent Registry became generally available in August 2026, after a preview from April 2026.Source 19 | LangChain-based AI nodes GA since November 2023.Source 7, Source 41 Agents shipped in preview in September 2026.Source 24 |
| Control | ||
| Agent registry and discovery | AWS Agent Registry catalogs agents, MCP servers, tools, and skills on AWS, on premises, or in other clouds.Source 1, Source 15 Consumers see only approved records.Source 42 | Agents, in preview, live in n8n projects alongside workflows.Source 4 An inventory of agents built outside n8n is not publicly documented. |
| Identity and access control | Agent identities are workload identities.Source 14 Calls to Runtime agents use IAM SigV4 by default, or JWTs from any OAuth 2.0 identity provider.Source 29, Source 43 | n8n says agent access (preview) follows its roles.Source 21 Project roles: every Cloud plan and registered self-hosted editions; custom roles: Enterprise.Source 44 |
| Ownership, policy, and revocation | Approval and deprecation control what the Registry shows.Source 15, Source 45 Policy can check each Gateway request against rules on which tools an agent may call.Source 6 | Agents (preview) can be unpublished and can pause for approval before sensitive tools run.Source 4 Workflows can require human approval before an AI Agent runs a tool.Source 9 |
| Audit log and observability | Metrics, spans, and logs go to CloudWatch in an OpenTelemetry-compatible format.Source 46 CloudTrail can log Gateway calls (data events are off by default).Source 34, Source 35 | Enterprise-only log streaming to syslog, a webhook, or Sentry.Source 36 MCP audit events cover the instance MCP server only.Source 36 Agent sessions (preview) show tools used.Source 4 |
| Connection | ||
| How agents connect | Agents can run in the serverless AgentCore Runtime.Source 1 Gateway can route to any HTTP endpoint.Source 16 Outbound-only agent connections are not publicly documented. | The MCP Server Trigger node exposes a URL for MCP clients.Source 13 For its instance MCP server, n8n says cloud-based clients need a publicly accessible instance.Source 33 |
| Agents across organizations | A registry can be shared with other AWS accounts through AWS RAM; accounts outside your AWS Organization accept an invitation.Source 17 | n8n tools can be exposed to external AI agents through the MCP Server Trigger node.Source 18 A cross-organization access model is not publicly documented. |
| Protocol support | Runtime agents can serve HTTP, MCP, A2A, or AG-UI.Source 47 Gateway acts as an MCP server for its MCP targets.Source 48 Registry validates agent records against the A2A schema.Source 12 | MCP server (a trigger node and a built-in instance server) and MCP client (a tool node).Source 13, Source 18, Source 33 First-party A2A support is not publicly documented. |
| Frameworks, models, and clouds supported | Runtime works with CrewAI, LangGraph, LlamaIndex, Google ADK, and other frameworks.Source 1 The Registry can list agents on other providers or on premises.Source 5 | AI nodes are built on LangChain’s JavaScript framework, with your choice of LLM.Source 7 Managing agents built outside n8n is not publicly documented. |
| Operations | ||
| Deployment options and data residency | AWS says cross-region inference can move Memory, Policy, and Evaluations prompts out of the primary Region; AgentCore may store content to improve your service.Source 1, Source 49 | n8n Cloud on Microsoft Azure, with data stored in Frankfurt, Germany, or self-hosted, with data wherever you host it.Source 20, Source 40 |
| Compliance attestations | AWS lists AgentCore as FedRAMP (Class C and Class D) compliant.Source 37, Source 38 It is HIPAA eligible, and SOC 2, ISO 27001:2022, and CSA STAR compliant.Source 19, Source 37 | n8n says the company holds a SOC 2 Type 2 report, available to enterprise customers.Source 39, Source 40 Others can get the SOC 3 report.Source 40 |
| Support and SLA | AWS says the Amazon Bedrock SLA applies to AgentCore.Source 5 Basic Support is included for all AWS customers.Source 50 | Dedicated support on Enterprise only, with guaranteed response times available through SLAs.Source 20 An uptime SLA percentage is not publicly documented. |
| Time and effort to get running | An AWS account with credentials and Node.js 20 or later for the AgentCore CLI.Source 25 The quickstart installs, scaffolds, tests locally, deploys, and invokes.Source 25 | A 14-day n8n Cloud trial with Pro features, or a one-step local setup that needs Docker.Source 11, Source 51 Paid self-hosted plans activate with a license key.Source 23 |
| Pricing model and public prices | Consumption-based per feature, with no minimum fee.Source 22 Runtime v1 CPU is $0.0895 per vCPU-hour; Agent Registry has a monthly free tier.Source 22 | By monthly workflow executions.Source 20 Cloud Starter is $20 and Pro $50 a month, billed annually.Source 20 Self-hosted Community is free.Source 23 |
| Building | ||
| Agent building tools | Write the agent loop in Python with a framework such as Strands, LangGraph, or Google ADK and deploy it, or define one in the managed harness.Source 1, Source 25 | n8n says its visual editor takes JavaScript or Python anywhere in a workflow.Source 2 It has LangChain-based AI nodes and the Agent Builder, in preview.Source 4, Source 7 |
| Model access | AWS calls AgentCore model-agnostic, naming OpenAI, Gemini, Claude, Amazon Nova, Llama, and Mistral models, in or outside Amazon Bedrock.Source 5 | Bring your own LLM credentials for providers such as OpenAI, Anthropic, and Google, and combine several models in one workflow.Source 8, Source 52 |
| Integrations and ecosystem | Gateway has 1-click integrations with tools such as Salesforce, Slack, Jira, Asana, and Zendesk, and can import partner tools bought in AWS Marketplace.Source 5, Source 53 | n8n’s homepage states over 500 integrations, and n8n states 600+ community-built templates for agentic workflows.Source 2, Source 54 |
Which to choose
Choose Amazon Bedrock AgentCore if
- Your developers write agents in code, with frameworks such as CrewAI, LangGraph, or Strands Agents, and want a serverless runtime on AWS.Source 1, Source 25
- You want one registry, with an approval workflow, for agents, MCP servers, and tools, including ones hosted outside AWS.Source 1, Source 15
- You want agents to have workload identities, with inbound auth from your existing identity provider, such as Entra ID or Okta.Source 5, Source 14
- You need HIPAA eligibility, ISO 27001 compliance, or the AWS GovCloud (US-West) Region.Source 19, Source 37
Choose n8n if
- You want to build agents and workflows visually; n8n says you can write JavaScript or Python anywhere in a workflow.Source 2
- You need to self-host on premises or in a private cloud, with data wherever you host it.Source 11, Source 20
- You want pricing by workflow executions with unlimited users on paid plans, and a free self-hosted Community edition to start.Source 20, Source 23
- You want many ready-made integrations and templates: n8n states over 500 integrations and 600+ community-built templates for agentic workflows.Source 2, Source 54
Questions buyers ask
Can either one manage agents built elsewhere?
AWS says Agent Registry can list agents built on AgentCore, other providers, or on premises, and that Identity manages identities for agents in self-hosted or hybrid deployments.Source 5, Source 10 n8n’s agents, in preview, live in n8n projects; managing agents built outside n8n is not publicly documented.Source 4
How is each one priced?
Do they support MCP and A2A?
Can either one connect agents across organizations?
How we compare
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Sources
59 public sources, each with the date we checked it. Every one opens in a new tab.
Source 1: Overview - Amazon Bedrock AgentCore (Developer Guide) Back:abcdefghijklmnopqrstuv
Source 2: AI Workflow Automation Platform - n8n Back:abcdefghij
Source 6: Policy in Amazon Bedrock AgentCore: Control Agent Interactions Back:abc
Source 8: Integrate AI Back:ab
Source 14: Provide identity and credential management for agent applications with Amazon Bedrock AgentCore Identity Back:abcde
Source 15: AWS Agent Registry: Discover and manage agents, tools, and resources Back:abcdef
Source 16: HTTP passthrough targets - AgentCore Gateway Back:abc
Source 17: Sharing a registry across accounts with AWS RAM Back:abcd
Source 19: Release notes - Amazon Bedrock AgentCore Back:abcdefgh
Source 24: Changelog Back:abcd
Source 25: Get started with Amazon Bedrock AgentCore Back:abcde
Source 27: Connect to private resources in your VPC using VPC Lattice Back to text
Source 28: Use interface VPC endpoints (AWS PrivateLink) with Amazon Bedrock AgentCore Back to text
Source 32: Resource-based policies for Amazon Bedrock AgentCore Back:ab
Source 34: Log Amazon Bedrock AgentCore Gateway API calls with CloudTrail Back:ab
Source 35: Enable CloudTrail data event logging for Amazon Bedrock AgentCore Gateway resources - Amazon Bedrock AgentCore Back:ab
Source 37: Compliance validation for Amazon Bedrock AgentCore Back:abcd
Source 38: Federal Risk and Authorization Management Program (FedRAMP) - Services in Scope - Amazon Web Services Back:ab
Source 42: Concepts and terminology - AWS Agent Registry Back to text
Source 43: Authenticate and authorize with Inbound Auth and Outbound Auth Back to text
Source 46: Observe your agent applications on Amazon Bedrock AgentCore Observability Back to text
Source 47: Understand the AgentCore Runtime service contract Back:ab
Source 48: Supported targets for Amazon Bedrock AgentCore gateways Back:abc
Source 49: Cross-region inference in AgentCore Memory, Policy in AgentCore, and AgentCore Evaluations Back to text
Source 53: Amazon Bedrock AgentCore Gateway: A secure AI gateway for agents, tools, and models Back to text