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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.
Amazon Bedrock AgentCore
CrewAI AMP
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, 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
Frameworks it deploys
Amazon Bedrock AgentCoreAgentCore Runtime works with CrewAI, LangGraph, LlamaIndex, Google ADK, OpenAI Agents SDK, Strands Agents, and custom frameworks.Source 1
CrewAI AMPAMP 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
How access is controlled
Amazon Bedrock AgentCoreAgent 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 AMPOn 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
Other accounts and remote agents
Amazon Bedrock AgentCoreA 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 AMPCrewAI 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.
Full comparison
18 criteria in five groups. Every cell links to its source, or says no public source answers it.
| Amazon Bedrock AgentCore | CrewAI AMP | |
|---|---|---|
| What it is | ||
| What it is and who it’s for | AWS’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 4 | CrewAI’s platform for deploying, monitoring, and scaling crews and agents in production.Source 2 It extends CrewAI’s open-source framework.Source 2 |
| Maturity | Generally available since October 2025.Source 18 Policy since March 2026, and AWS Agent Registry since August 2026.Source 18 | CrewAI’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 discovery | AWS Agent Registry catalogs agents, MCP servers, tools, and skills behind an approval workflow, including ones on premises or in other clouds.Source 1, Source 7 | Agent 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 control | Workload 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 23 | Enterprise 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 revocation | Gateway policies, written in natural language or Cedar, set which tools an agent may call and when.Source 23 Curators can deprecate registry records.Source 36 | On 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 observability | Metrics, 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 36 | Execution 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 connect | Agents 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 27 | Crews 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 organizations | A registry can be shared with other AWS accounts through AWS RAM; accounts outside your AWS Organization accept an invitation.Source 9 | CrewAI 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 support | Runtime 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 47 | CrewAI 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 supported | Runtime 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 21 | Deploys 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 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 48 | The 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 attestations | AWS 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 39 | CrewAI 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 SLA | AWS says the Amazon Bedrock SLA applies to AgentCore.Source 4 Basic Support is included for all AWS customers.Source 49 | Community 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 running | The 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 15 | The 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 prices | Consumption-based per service, no minimum fee.Source 17 Examples: Policy $0.000025 per authorization request; Runtime v1 CPU $0.0895 per vCPU-hour.Source 17 | Basic is free, with 50 workflow executions a month.Source 5 Enterprise is custom-priced.Source 5 |
| Building | ||
| Agent building tools | Write 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 15 | Build 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 access | Model-agnostic, AWS says: models in or outside Amazon Bedrock, including OpenAI, Gemini, Claude, Nova, Llama, and Mistral.Source 4 | CrewAI’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 ecosystem | Gateway 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 51 | CrewAI 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?
Can I run either one in my own environment?
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 we compare
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Sources
62 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: CrewAI AMP (platform docs introduction) Back:abcdefghijkl
Source 6: Provide identity and credential management for agent applications with Amazon Bedrock AgentCore Identity Back:abcd
Source 7: AWS Agent Registry: Discover and manage agents, tools, and resources Back:abcde
Source 8: HTTP passthrough targets - AgentCore Gateway Back:abc
Source 9: Sharing a registry across accounts with AWS RAM Back:abcde
Source 15: Get started with Amazon Bedrock AgentCore Back:abc
Source 18: Release notes - Amazon Bedrock AgentCore Back:abcd
Source 19: CrewAI AMP - The Agent Management Platform Back:ab
Source 22: Add observability to your Amazon Bedrock AgentCore resources Back to text
Source 23: Policy in Amazon Bedrock AgentCore: Control Agent Interactions Back:abcde
Source 24: Resource-based policies for Amazon Bedrock AgentCore Back:ab
Source 26: Agent-to-Agent (A2A) Protocol (CrewAI framework docs) Back:abcde
Source 27: Connect to private resources in your VPC using VPC Lattice Back:ab
Source 28: Use interface VPC endpoints (AWS PrivateLink) with Amazon Bedrock AgentCore Back to text
Source 30: Authenticate and authorize with Inbound Auth and Outbound Auth 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: Traces Back:ab
Source 39: Compliance validation for Amazon Bedrock AgentCore Back:abc
Source 40: Federal Risk and Authorization Management Program (FedRAMP) - Services in Scope - Amazon Web Services Back:ab
Source 44: Observe your agent applications on Amazon Bedrock AgentCore Observability Back to text
Source 45: Understand the AgentCore Runtime service contract Back:abc
Source 46: Supported targets for Amazon Bedrock AgentCore gateways Back:ab
Source 48: Cross-region inference in AgentCore Memory, Policy in AgentCore, and AgentCore Evaluations Back to text
Source 51: Amazon Bedrock AgentCore Gateway: A secure AI gateway for agents, tools, and models Back to text
Source 52: Crew Studio: The Automated Agent Builder Back to text
Source 54: CrewAI agent management platform page Back to text
Source 55: Deploy A2A servers in AgentCore Runtime Back to text
Source 56: Configure Amazon Bedrock AgentCore Runtime and tools for VPC Back to text