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Amazon Bedrock AgentCore vs CrewAI AMP

Amazon Bedrock AgentCore

AWS platform for building, deploying, and operating AI agents

CrewAI AMP

Platform for deploying, monitoring, and scaling CrewAI crews and agents

Short answer

Both are platforms for building, deploying, and running agents: Amazon Bedrock AgentCore works with any framework, while CrewAI AMP deploys crews and flows built with CrewAI.⁠Source 1, Source 2, Source 3 AgentCore is a managed service in AWS Regions; AMP’s Enterprise plan can run on CrewAI’s cloud, your own VPC, or your own infrastructure.⁠Source 1, Source 4, Source 5

Where each one sits

Six layers of running AI agents at a company, and what each product’s own public sources say it covers.

Public sources · checked 2 October 2026
  • Offered
  • Preview

Amazon Bedrock AgentCore

  • Build agents: OfferedHarness managed agent loop⁠Source 1
  • Host and run agents: OfferedAgentCore Runtime⁠Source 1
  • Identity and access: OfferedAgentCore Identity workload identities⁠Source 6
  • Registry and governance: OfferedAWS Agent Registry with approvals⁠Source 7
  • Traffic between agents, tools, and models: OfferedAgentCore Gateway⁠Source 8
  • Agents across organizations: OfferedRegistry shared through AWS RAM⁠Source 9

CrewAI AMP

  • Build agents: OfferedCrew Studio visual editor⁠Source 10
  • Host and run agents: OfferedManaged infrastructure for crews⁠Source 2
  • Identity and access: OfferedPer-deployment allow lists⁠Source 11
  • Registry and governance: OfferedAgent Repositories⁠Source 12
  • Traffic between agents, tools, and models: OfferedCustom MCP server connections⁠Source 13
  • Agents across organizations: PreviewPublic A2A agents⁠Source 14

At a glance

TopicAmazon Bedrock AgentCoreCrewAI AMP
Building agentsIn Python with frameworks such as Strands, LangGraph, or Google ADK, or with the managed Harness: a model, prompt, and tools in one API call.⁠Source 1, Source 15In code, or in Crew Studio from natural language and a visual workflow editor.⁠Source 2, Source 10
Where agents runServerless AgentCore Runtime, a managed AWS service in AWS Regions.⁠Source 1, Source 4Managed infrastructure.⁠Source 2 The Enterprise plan can run on CrewAI’s cloud, your own VPC, or your own infrastructure.⁠Source 5
Agent catalogAWS Agent Registry: agents, MCP servers, tools, and skills, including ones hosted outside AWS, behind an approval workflow.⁠Source 1, Source 7Agent Repositories, on both plans, let teams store and share agent definitions; Automations is the operations hub for deployed crews.⁠Source 5, Source 12, Source 16
Pricing modelBy use, per service, with no upfront commitment or minimum fee.⁠Source 17 AWS Agent Registry has a monthly free tier.⁠Source 17Basic is free, with 50 workflow executions a month.⁠Source 5 Enterprise is custom-priced.⁠Source 5
LaunchedGenerally available since October 2025; AWS Agent Registry since August 2026.⁠Source 18CrewAI’s platform took the AMP name in October 2025.⁠Source 19, Source 20

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, usable together or independently, include Runtime, which hosts agents, and AWS Agent Registry, a catalog of agents and tools.⁠Source 1, Source 7

CrewAI AMP

CrewAI AMP (Agent Management Platform) is CrewAI’s platform for deploying, monitoring, and scaling crews and agents in production.⁠Source 2 It extends CrewAI’s open-source framework, and crews can be built in code, or in Crew Studio with natural language and a visual workflow editor.⁠Source 2, Source 10

The differences that matter

  1. Frameworks it deploys

    Amazon Bedrock AgentCore

    AgentCore Runtime works with CrewAI, LangGraph, LlamaIndex, Google ADK, OpenAI Agents SDK, Strands Agents, and custom frameworks.⁠Source 1

    CrewAI AMP

    AMP deploys Crews and Flows built with CrewAI.⁠Source 2, Source 3 AMP’s docs don’t describe deploying agents built with other frameworks.

    AWS says its Registry and Identity also work with agents hosted outside AgentCore Runtime, and Observability can show their metrics after extra setup.⁠Source 1, Source 21, Source 22

  2. How access is controlled

    Amazon Bedrock AgentCore

    Agent identities are workload identities, and Policy can check each request through a Gateway against rules written in natural language or Cedar.⁠Source 6, Source 23

    CrewAI AMP

    On Enterprise, custom roles can set most features to Manage, Read, or No access, and deployments can be private to allow-listed users and roles.⁠Source 5, Source 11

    AgentCore resource-based policies set which AWS accounts, IAM users, and IAM roles can invoke Runtime, Gateway, and Memory.⁠Source 24 AMP lets you choose the actions each integration offers a deployed crew.⁠Source 25

  3. Other accounts and remote agents

    Amazon Bedrock AgentCore

    A registry can be shared with other AWS accounts through AWS RAM, and Gateway can front A2A agents at any HTTP endpoint.⁠Source 8, Source 9

    CrewAI AMP

    CrewAI agents can delegate tasks to remote A2A agents; A2A server agents on AMP, in preview, can authenticate incoming calls with one of six schemes.⁠Source 14, Source 26

    AWS documents sharing with accounts outside your AWS Organization by invitation.⁠Source 9 Bringing another company’s agents into AMP, with access that company controls, is not publicly documented.

For security teams

What a security review asks, answered from each vendor’s public documentation.

TopicAmazon Bedrock AgentCoreCrewAI AMP
Network exposureCan reach private VPC resources without exposing them to the internet; VPC callers can connect over PrivateLink.⁠Source 27, Source 28A deployed crew’s API is protected by a bearer token; custom MCP servers must be internet-reachable.⁠Source 13, Source 29
IdentityWorkload identities.⁠Source 6 Runtime calls use IAM SigV4 by default, or JWTs from IdPs such as Entra ID or Okta.⁠Source 4, Source 30, Source 31Enterprise lists role-based access control and SSO with Microsoft Entra or Okta.⁠Source 5 Per-agent identity is not publicly documented.
Access changes and revocationAn explicit deny can block Runtime, Gateway, and Memory access; removing an account from a registry share revokes its access.⁠Source 9, Source 24On Enterprise, the manage settings permission allows deleting an automation.⁠Source 5, Source 11 Revoking a Platform API service account (beta) disables it immediately.⁠Source 32, Source 33
Audit trailCloudTrail can log Gateway calls (data events are off by default) and logs Registry control-plane calls; Policy logs its decisions.⁠Source 23, Source 34, Source 35, Source 36Execution traces, exportable to your own OpenTelemetry collector.⁠Source 37, Source 38 AMP’s docs don’t describe a platform-wide audit log of admin events.
ComplianceHIPAA eligible; AWS lists it as FedRAMP (Class C and Class D), SOC 2, ISO 27001:2022, and CSA STAR compliant.⁠Source 39, Source 40CrewAI says it maintains a SOC 2 Type 2 certified security program.⁠Source 41 Its trust center lists a HIPAA audit report.⁠Source 41

Full comparison

18 criteria in five groups. Every cell links to its source, or says no public source answers it.

Amazon Bedrock AgentCore and CrewAI AMP compared on 18 criteria
Amazon Bedrock AgentCoreCrewAI AMP
What it is
What it is and who it’s forAWS’s platform for building, deploying, and operating agents with any framework and model, for moving agents from proof of concept to production.⁠Source 1, Source 4CrewAI’s platform for deploying, monitoring, and scaling crews and agents in production.⁠Source 2 It extends CrewAI’s open-source framework.⁠Source 2
MaturityGenerally available since October 2025.⁠Source 18 Policy since March 2026, and AWS Agent Registry since August 2026.⁠Source 18CrewAI’s platform took the AMP name in October 2025.⁠Source 19, Source 20 The Platform API is in beta.⁠Source 33
Control
Agent registry and discoveryAWS Agent Registry catalogs agents, MCP servers, tools, and skills behind an approval workflow, including ones on premises or in other clouds.⁠Source 1, Source 7Agent Repositories, on both plans, let teams store, share, and reuse agent definitions.⁠Source 5, Source 12 Automations is the operations hub for deployed crews.⁠Source 16
Identity and access controlWorkload identities.⁠Source 6 Runtime calls use IAM SigV4 by default, or JWTs from any OAuth 2.0 provider.⁠Source 30, Source 31 Policy can check requests through a Gateway.⁠Source 23Enterprise lists role-based access control, which can make a deployment private to allow-listed users and roles.⁠Source 5, Source 11 API calls to a crew need a bearer token.⁠Source 42
Ownership, policy, and revocationGateway policies, written in natural language or Cedar, set which tools an agent may call and when.⁠Source 23 Curators can deprecate registry records.⁠Source 36On Enterprise, custom roles can set most features to Manage, Read, or No access.⁠Source 5, Source 11 Flows can pause at human review points.⁠Source 43
Audit log and observabilityMetrics, spans, and logs go to CloudWatch.⁠Source 44 CloudTrail can log Gateway calls (data events are off by default) and logs Registry control-plane calls.⁠Source 34, Source 35, Source 36Execution traces from inputs to outputs, with OpenTelemetry export to your own collector.⁠Source 37, Source 38 Enterprise lists PII redaction.⁠Source 5
Connection
How agents connectAgents can run in serverless Runtime.⁠Source 1 Gateway can forward requests to any HTTP endpoint, and AgentCore can reach private resources in your VPC.⁠Source 8, Source 27Crews run on managed infrastructure, and a crew’s API is protected by a bearer token.⁠Source 2, Source 29 Custom MCP servers must be reachable from the internet.⁠Source 13
Agents across organizationsA registry can be shared with other AWS accounts through AWS RAM; accounts outside your AWS Organization accept an invitation.⁠Source 9CrewAI agents can delegate tasks to remote A2A agents by URL.⁠Source 26 A2A server agents on AMP, in preview, can authenticate requests with one of six schemes.⁠Source 14
Protocol supportRuntime agents can serve HTTP, MCP, A2A, or AG-UI.⁠Source 45 Gateway acts as one MCP server over its MCP targets, and each registry has an MCP endpoint.⁠Source 46, Source 47CrewAI agents can act as A2A clients; AMP’s A2A server agents are in preview.⁠Source 14, Source 26 AMP can connect to MCP servers over Streamable HTTP and export automations as MCP.⁠Source 13, Source 16
Frameworks, models, and clouds supportedRuntime works with CrewAI, LangGraph, LlamaIndex, Google ADK, OpenAI Agents SDK, and Strands Agents.⁠Source 1 Registry and Identity work with agents hosted elsewhere.⁠Source 1, Source 21Deploys CrewAI Crews and Flows.⁠Source 3 Crew Studio source downloads as a ZIP for work in code.⁠Source 10 AMP’s docs don’t describe deploying other frameworks’ agents.
Operations
Deployment options and data residencyAWS 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 48The Enterprise plan can run on CrewAI’s cloud, your own VPC, or your own infrastructure.⁠Source 5 Data residency commitments are not publicly documented.
Compliance attestationsAWS lists AgentCore as FedRAMP (Class C and Class D) compliant.⁠Source 39, Source 40 It is HIPAA eligible, and SOC 2, ISO 27001:2022, and CSA STAR compliant.⁠Source 18, Source 39CrewAI says it maintains a SOC 2 Type 2 certified security program.⁠Source 41 Its trust center lists SOC 2 Type 2 (June 2026) and HIPAA (February 2026) audit reports.⁠Source 41
Support and SLAAWS says the Amazon Bedrock SLA applies to AgentCore.⁠Source 4 Basic Support is included for all AWS customers.⁠Source 49Community support on both plans; dedicated and Slack or Teams support on Enterprise.⁠Source 5 An uptime SLA is not publicly documented.
Time and effort to get runningThe CLI quickstart needs an AWS account with credentials and Node.js 20 or later; AWS says it gets one agent running in a few minutes.⁠Source 15The deploy guide assumes a crew or flow that runs locally; CrewAI says a first deployment typically takes around a minute.⁠Source 29 Enterprise lists 45-day onboarding.⁠Source 5
Pricing model and public pricesConsumption-based per service, no minimum fee.⁠Source 17 Examples: Policy $0.000025 per authorization request; Runtime v1 CPU $0.0895 per vCPU-hour.⁠Source 17Basic is free, with 50 workflow executions a month.⁠Source 5 Enterprise is custom-priced.⁠Source 5
Building
Agent building toolsWrite the agent loop in Python with a framework such as Strands, LangGraph, or Google ADK and deploy it to Runtime, or use the managed Harness.⁠Source 1, Source 15Build crews in code or in Crew Studio, an AI-assisted workspace that uses natural language and a visual workflow editor.⁠Source 2, Source 10
Model accessModel-agnostic, AWS says: models in or outside Amazon Bedrock, including OpenAI, Gemini, Claude, Nova, Llama, and Mistral.⁠Source 4CrewAI’s docs say any LLM provider CrewAI supports can be used, with your own API key; the Crew Studio setup guide lists OpenAI or Azure.⁠Source 50
Integrations and ecosystemGateway has 1-click integrations such as Salesforce, Slack, Jira, Asana, and Zendesk, and can import AWS Partner tools bought in AWS Marketplace.⁠Source 4, Source 51CrewAI says Crew Studio can connect to more than 1,000 applications.⁠Source 52 A Marketplace lists integrations, internal tools, and reusable assets.⁠Source 53

Which to choose

Choose Amazon Bedrock AgentCore if

  • Your teams build agents with different frameworks, and you want one hosting service that works with custom and open-source frameworks.⁠Source 1
  • You want one catalog of agents, MCP servers, and tools, including ones on premises or in other clouds, behind an approval workflow.⁠Source 1, Source 7
  • You want tool calls through a gateway checked against policies written in natural language or Cedar, with decisions logged.⁠Source 23
  • You prefer paying by use: each AgentCore service is billed for what you use, with no upfront commitment or minimum fee.⁠Source 17

Choose CrewAI AMP if

  • Your agents are CrewAI crews or flows: AMP deploys both, and its deploy guide starts from one that already runs locally.⁠Source 3, Source 29
  • Non-coders will build agents: Crew Studio uses natural language and a visual workflow editor, with or without code, CrewAI says.⁠Source 10, Source 54
  • You need the platform in your own VPC or on your own infrastructure, which the Enterprise plan supports.⁠Source 5
  • You want human review built into flows: execution pauses at review points, emails the assignee, and tracks each interaction.⁠Source 43

Questions buyers ask

Can AgentCore run agents built with CrewAI?

AWS says AgentCore Runtime works with open-source frameworks including CrewAI, and that the AgentCore SDK works with CrewAI too.⁠Source 1, Source 4 CrewAI AMP is CrewAI’s own platform for deploying crews and flows built with its open-source framework.⁠Source 2, Source 3

Can I run either one in my own environment?

AgentCore is a managed AWS service; a self-hosted edition is not publicly documented, but Runtime can be configured to reach resources in your VPC.⁠Source 1, Source 56 AMP’s Enterprise plan can be deployed on CrewAI’s cloud, your own VPC, or your own infrastructure.⁠Source 5

Do they support MCP and A2A?

AgentCore Runtime can host MCP and A2A servers; Gateway combines its MCP targets into one MCP server.⁠Source 45, Source 46 AMP can connect to MCP servers and export an automation as MCP; CrewAI agents can delegate to remote A2A agents, and AMP’s A2A server agents are in preview.⁠Source 13, Source 14, Source 16, Source 26

How is each one priced?

AgentCore is consumption-based with no upfront commitment or minimum fee: you pay for what you use, per service, and AWS Agent Registry has a monthly free tier.⁠Source 17 AMP’s Basic plan is free with 50 workflow executions a month, and Enterprise is custom-priced.⁠Source 5

How we compare

Read the full method

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Sources

62 public sources, each with the date we checked it. Every one opens in a new tab.

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  2. Source 2: CrewAI AMP (platform docs introduction) CrewAI · checked Back:abcdefghijkl

  3. Source 3: Prepare for Deployment CrewAI · checked Back:abcde

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  5. Source 5: Pricing | CrewAI CrewAI · checked Back:abcdefghijklmnopqrst

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  8. Source 8: HTTP passthrough targets - AgentCore Gateway AWS · checked Back:abc

  9. Source 9: Sharing a registry across accounts with AWS RAM AWS · checked Back:abcde

  10. Source 10: Crew Studio CrewAI · checked Back:abcdef

  11. Source 11: Role-Based Access Control (RBAC) CrewAI · checked Back:abcde

  12. Source 12: Agent Repositories CrewAI · checked Back:abc

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  47. Source 47: Using the Registry MCP endpoint AWS · checked Back to text

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  52. Source 52: Crew Studio: The Automated Agent Builder CrewAI · checked Back to text

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