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Amazon Bedrock AgentCore vs IBM watsonx Orchestrate

Amazon Bedrock AgentCore

AWS platform for building, deploying, and operating AI agents

IBM watsonx Orchestrate

Agent management platform to build, deploy, orchestrate, and govern AI agents

Short answer

Amazon Bedrock AgentCore is AWS’s platform to build, deploy, and operate agents, made of modular services billed by use; IBM describes watsonx Orchestrate as an agent management platform, sold by plan and offered as SaaS or on premises.⁠Source 1, Source 2, Source 3, Source 4, Source 5 AgentCore Identity gives agents workload identities; in watsonx Orchestrate, per-agent identity is in private preview.⁠Source 6, Source 7

By Blocks.ai teamLast checked

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 8
  • Traffic between agents, tools, and models: OfferedAgentCore Gateway⁠Source 9
  • Agents across organizations: OfferedRegistry shared through AWS RAM⁠Source 10

IBM watsonx Orchestrate

  • Build agents: OfferedVisual builder and ADK⁠Source 11
  • Host and run agents: OfferedAgents run on watsonx Orchestrate⁠Source 12
  • Identity and access: PreviewAgent identity⁠Source 13
  • Registry and governance: OfferedAgentic Control Plane⁠Source 14
  • Traffic between agents, tools, and models: OfferedA2A calls to agent endpoints⁠Source 15
  • Agents across organizations: OfferedPartner A2A agents in catalog⁠Source 15

At a glance

TopicAmazon Bedrock AgentCoreIBM watsonx Orchestrate
What it isAWS platform to build, deploy, and operate agents, made of modular services you can use together or independently.⁠Source 1IBM describes it as an agent management platform to build, deploy, orchestrate, manage, and govern agents, with a visual builder.⁠Source 3, Source 11
Where it runsA managed service in AWS Regions.⁠Source 1, Source 16 A self-hosted edition is not publicly documented.Managed SaaS on AWS or IBM Cloud, or installed on premises.⁠Source 5, Source 17
Agent identityWorkload identities in AgentCore Identity, for agents on AgentCore Runtime, self-hosted, or in hybrid deployments.⁠Source 6, Source 18Per-agent identity through IBM Verify or Microsoft Entra is in private preview.⁠Source 7
Pricing modelBy use, billed per service, with no upfront commitment or minimum fee.⁠Source 2 AWS Agent Registry has a monthly free tier.⁠Source 2By plan: Essentials from $530 a month for 4,000 monthly active users, Standard from $6,360 a month, and Premium on request.⁠Source 4
MaturityGenerally available since October 2025; AWS Agent Registry since August 2026.⁠Source 19IBM said the unified release of watsonx Orchestrate was generally available in January 2024; the Agentic Control Plane followed in June 2026.⁠Source 20, Source 21 AI Gateway, which can discover agents on other platforms, is in preview.⁠Source 22

What each one is

Amazon Bedrock AgentCore

Amazon Bedrock AgentCore is AWS’s platform for building, deploying, and operating agents, which AWS says works with any framework and foundation model.⁠Source 1 Its modular services, usable together or independently, include a serverless Runtime, Gateway, Identity, Policy, Observability, and AWS Agent Registry.⁠Source 1, Source 6, Source 8, Source 23, Source 24, Source 25

IBM watsonx Orchestrate

IBM describes watsonx Orchestrate as an agent management platform to build, deploy, orchestrate, manage, and govern agents, for IT, security, and AI leaders.⁠Source 3 It describes the Agentic Control Plane as a centralized layer to observe and govern agents, wherever they were built or run.⁠Source 14

The differences that matter

  1. How agents are built

    Amazon Bedrock AgentCore

    Define an agent from a model, prompt, and tools in one API call, or write the loop in Python, for example with Strands or LangGraph.⁠Source 1, Source 26

    IBM watsonx Orchestrate

    IBM says you can build in a visual builder with drag-and-drop and natural language, or with the ADK, Python, and APIs.⁠Source 11

    Both offer ready-made pieces: AgentCore Gateway has 1-click tool integrations, and IBM says its catalog lists prebuilt IBM and partner agents.⁠Source 23, Source 27

  2. Agents from other platforms

    Amazon Bedrock AgentCore

    AWS Agent Registry can list agents on AWS, on premises, or in other clouds, and Gateway can front outside agents behind one endpoint.⁠Source 1, Source 9

    IBM watsonx Orchestrate

    Agents hosted elsewhere join at an accessible endpoint; AI Gateway (preview) can discover agents registered in AgentCore, Gemini Enterprise Agent Platform, or Azure AI Foundry.⁠Source 22, Source 28, Source 29, Source 30, Source 31

    Both can show data from agents running elsewhere: AgentCore shows metrics after extra telemetry setup; watsonx Orchestrate shows traces from registered agents built with any framework.⁠Source 32, Source 33

  3. Where policy is enforced

    Amazon Bedrock AgentCore

    Policies in Cedar or natural language decide which tools an agent may call, checked on each request through an AgentCore Gateway.⁠Source 24

    IBM watsonx Orchestrate

    On SaaS outside AWS GovCloud, controls can block unsafe content, protect data, and govern model traffic; agent controls cover native, LangGraph, and A2A agents.⁠Source 34

    AgentCore Policy keeps logs of its decisions; the watsonx Orchestrate security control center shows each agent’s connections, tools, and permissions.⁠Source 24, Source 35

For security teams

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

TopicAmazon Bedrock AgentCoreIBM watsonx Orchestrate
Network exposureGateway reaches outside agents at an endpoint URL; private MCP servers and APIs in your VPC needn’t be public.⁠Source 9, Source 36Agents hosted elsewhere need an accessible endpoint.⁠Source 28 On IBM Cloud, private endpoints and a Satellite TLS tunnel are documented.⁠Source 37, Source 38
IdentityWorkload identities in AgentCore Identity; Runtime calls use IAM SigV4 by default, or JWTs from an OAuth 2.0 provider.⁠Source 6, Source 39, Source 40Platform SSO can use OIDC or SAML.⁠Source 41 Per-agent identity is in private preview; existing authentication types use an impersonation model.⁠Source 7, Source 13
Access changes and revocationExplicit denies override other policies; registry-share removal revokes an account’s access; deprecation removes records from discovery.⁠Source 10, Source 42, Source 43, Source 44On IBM Cloud, undeploying a released agent version is logged; removing an agent from AI Gateway’s directory (preview) is permanent.⁠Source 45, Source 46
Audit trailCloudTrail can log Gateway calls (data events are off by default) and logs Registry control-plane calls; Policy logs its decisions.⁠Source 24, Source 43, Source 47, Source 48Audit events can be routed where you choose on IBM Cloud, or sent to your S3 and CloudWatch on AWS.⁠Source 49, Source 50
ComplianceHIPAA eligible; AWS lists it as FedRAMP (Class C and Class D), SOC 2, ISO 27001:2022, and CSA STAR compliant.⁠Source 51, Source 52IBM says watsonx Orchestrate is FedRAMP authorized on AWS GovCloud (US).⁠Source 53 IBM says the company holds ISO/IEC 27001:2022.⁠Source 54

Full comparison

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

Amazon Bedrock AgentCore and IBM watsonx Orchestrate compared on 18 criteria
Amazon Bedrock AgentCoreIBM watsonx Orchestrate
What it is
What it is and who it’s forAWS platform for building, deploying, and operating agents, for organizations moving agents from proof of concept to production.⁠Source 1, Source 16IBM describes it as an agent management platform to build, deploy, orchestrate, manage, and govern agents, for IT, security, and AI leaders.⁠Source 3
MaturityGenerally available since October 2025.⁠Source 19 AWS Agent Registry since August 2026, and Policy since March 2026.⁠Source 19IBM said watsonx Orchestrate’s unified release was GA in January 2024; the Agentic Control Plane followed in June 2026.⁠Source 20, Source 21 Some dashboards and AI Gateway: preview.⁠Source 22, Source 55
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 8IBM says its catalog of prebuilt and custom agents and tools can be searched.⁠Source 27 AI Gateway’s agent directory, in preview, registers imported external agents.⁠Source 46
Identity and access controlWorkload identities in AgentCore Identity.⁠Source 6 Runtime calls use IAM SigV4 by default, or JWTs from an OAuth 2.0 provider such as Entra ID or Okta.⁠Source 16, Source 39, Source 40Platform SSO with OIDC or SAML, and user, builder, and administrator roles.⁠Source 41, Source 56 Per-agent identity is in private preview.⁠Source 7
Ownership, policy, and revocationGateway policies, in Cedar or natural language, limit an agent’s tools.⁠Source 24 Only approved registry records are discoverable.⁠Source 8, Source 57 Owner field: not publicly documented.On SaaS outside AWS GovCloud, controls can cover unsafe content, sensitive data, model traffic, and network access.⁠Source 34 Agent owners: private preview.⁠Source 7
Audit log and observabilityCloudTrail can log Gateway calls (data events are off by default) and logs Registry control-plane calls.⁠Source 43, Source 47, Source 48 Policy logs its decisions.⁠Source 24On IBM Cloud, audit events, such as undeploying a released agent version, can be routed where you choose.⁠Source 45, Source 49 On AWS, audit logs can go to your S3 and CloudWatch.⁠Source 50
Connection
How agents connectAgents can run in serverless AgentCore Runtime.⁠Source 1 Gateway passthrough targets route to any HTTP endpoint, given its URL, without protocol translation.⁠Source 9ADK agents run on watsonx Orchestrate.⁠Source 12 Agents elsewhere need an accessible endpoint.⁠Source 28 IBM Cloud adds private endpoints and a Satellite TLS tunnel.⁠Source 37, Source 38
Agents across organizationsA registry can be shared with other AWS accounts through AWS RAM, by invitation outside your AWS Organization.⁠Source 10 Runtime agents can be opened to other accounts.⁠Source 42Except on premises, partner A2A agents can be added from the catalog.⁠Source 15 A connection sets how Orchestrate authenticates to an external A2A agent.⁠Source 58
Protocol supportRuntime agents can serve HTTP, MCP, A2A, or AG-UI.⁠Source 59 Gateway acts as one MCP server for its MCP targets; the Registry has its own MCP endpoint.⁠Source 60, Source 61Calls external A2A agents over JSON-RPC and exposes its agents through A2A endpoints.⁠Source 62, Source 63 Imports MCP tools; OAuth 2.1 isn’t supported for MCP connections.⁠Source 64
Frameworks, models, and clouds supportedRuntime works with custom and open-source frameworks, such as CrewAI and LangGraph.⁠Source 1 The Registry can list agents built on other providers or on premises.⁠Source 16IBM says it supports native, Langflow, LangGraph, and A2A agents.⁠Source 65 Agents with OpenAI-style chat endpoints, and Copilot Studio agents, can be added.⁠Source 62
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 66SaaS on AWS or IBM Cloud, or on premises on IBM Cloud Pak for Data or IBM Software Hub.⁠Source 5, Source 17 The control plane isn’t supported in AWS GovCloud (US).⁠Source 55
Compliance attestationsAWS lists AgentCore as FedRAMP (Class C and Class D) compliant.⁠Source 51, Source 52 It is HIPAA eligible, and SOC 2, ISO 27001:2022, and CSA STAR compliant.⁠Source 19, Source 51IBM says watsonx Orchestrate is FedRAMP authorized, deployed on AWS GovCloud (US).⁠Source 53 IBM says the company holds ISO/IEC 27001:2022.⁠Source 54 Premium: HIPAA-ready option.⁠Source 4
Support and SLAAWS says the Amazon Bedrock SLA applies to AgentCore.⁠Source 16 Basic Support is included for all AWS customers.⁠Source 67On AWS, IBM states a 99.9% availability SLA.⁠Source 68 On IBM Cloud, it points to the base IBM Cloud Service Description for the SLA.⁠Source 69 Support cases can be opened.⁠Source 70
Time and effort to get runningAn AWS account with credentials and permissions for AgentCore API calls and CDK deployment.⁠Source 26 Outside Runtime, telemetry needs the ADOT SDK or a Lambda layer.⁠Source 32IBM’s administrator guide covers environment setup and user access.⁠Source 71 Platform SSO is configured with IBM.⁠Source 41 The control plane needs the Admin or Builder role.⁠Source 55
Pricing model and public pricesBy use, per service, with no minimum fee.⁠Source 2 Runtime v1 CPU is $0.0895 per vCPU-hour; AWS Agent Registry has a monthly free tier.⁠Source 2Essentials from $530 and Standard from $6,360 a month, sized by users and messages; Premium on request.⁠Source 4 List prices are indicative.⁠Source 4 30-day free trial.⁠Source 4
Building
Agent building toolsA managed harness defines an agent from a model, prompt, and tools in one API call; code agents can use Strands, LangGraph, Google ADK, or OpenAI Agents.⁠Source 1, Source 26IBM says agents can be built with drag-and-drop and natural language, or with the ADK, Python, and APIs.⁠Source 11 It says Langflow workflows deploy as tools.⁠Source 11
Model accessModel-agnostic, AWS says, in or outside Amazon Bedrock: OpenAI, Gemini, Claude, Amazon Nova, Llama, Mistral.⁠Source 16 The harness works with OpenAI-compatible providers.⁠Source 1IBM-hosted and third-party models, varying by cloud, region, and deployment.⁠Source 72 Default in most regions: GPT-OSS 120B via Groq.⁠Source 72 Others as virtual models.⁠Source 73
Integrations and ecosystemGateway has 1-click integrations with tools such as Salesforce, Slack, Jira, and Zendesk, and can import partner tools bought on AWS Marketplace.⁠Source 16, Source 23IBM says its catalog lists prebuilt IBM and partner agents, and ISVs can list agents through Agent Connect.⁠Source 27, Source 74 Sold via IBM Cloud Catalog or AWS Marketplace.⁠Source 4

Which to choose

Choose Amazon Bedrock AgentCore if

  • You want to pay only for what you use, service by service, with no upfront commitment or minimum fee.⁠Source 2
  • Your developers write agents with frameworks such as LangGraph, CrewAI, or Strands Agents and want a serverless runtime for them.⁠Source 1
  • You want workload identities for agents, and tool calls checked against Cedar or natural-language policies at a gateway.⁠Source 6, Source 24
  • Your agents span AWS accounts: a registry can be shared through AWS RAM, and one account can monitor AgentCore resources across them.⁠Source 10, Source 75

Choose IBM watsonx Orchestrate if

  • You want a visual builder, which IBM says uses drag-and-drop and natural language, alongside the Python Agent Development Kit.⁠Source 11, Source 12
  • You need it on premises, where IBM says some agent controls aren’t available, or as SaaS on IBM Cloud.⁠Source 5, Source 17, Source 76
  • You want prebuilt agents: IBM says its catalog lists IBM and partner agents; partner A2A agents can be collaborators, except on premises.⁠Source 15, Source 27
  • You want controls that block unsafe content, protect sensitive data, and restrict network access, on SaaS outside AWS GovCloud.⁠Source 34

Questions buyers ask

How is each one priced?

AgentCore is consumption-based: each service is billed for what you use, with no upfront commitment or minimum fee.⁠Source 2 IBM watsonx Orchestrate is sold by plan: Essentials from $530 and Standard from $6,360 a month, with Premium priced on request; IBM says prices are indicative.⁠Source 4

Do they support MCP and A2A?

AgentCore Runtime can host agents that serve MCP or A2A, Gateway acts as an MCP server, and the Registry validates agent records against the A2A schema.⁠Source 43, Source 59, Source 60 IBM watsonx Orchestrate calls external A2A agents, exposes its agents through A2A endpoints, and imports tools from MCP servers.⁠Source 62, Source 63, Source 64

Which models can each one use?

AWS calls AgentCore model-agnostic and names OpenAI, Gemini, Claude, Amazon Nova, Llama, and Mistral models, in or outside Amazon Bedrock.⁠Source 16 IBM watsonx Orchestrate supports IBM-hosted and third-party models, with availability varying by cloud, region, and deployment, and registers other providers’ models as virtual models.⁠Source 72, Source 73

Can either one connect agents across organizations?

An AgentCore registry can be shared with other AWS accounts through AWS RAM; those outside your AWS Organization must accept.⁠Source 10 Except on premises, IBM watsonx Orchestrate can add partner A2A agents from its catalog as collaborators.⁠Source 15

How we compare

Read the full method

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Sources

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

  1. Source 1: Overview - Amazon Bedrock AgentCore (Developer Guide) AWS · checked Back:abcdefghijklmnopq

  2. Source 2: Amazon Bedrock AgentCore Pricing AWS · checked Back:abcdefg

  3. Source 3: IBM watsonx Orchestrate IBM · checked Back:abcd

  4. Source 4: IBM watsonx Orchestrate Pricing IBM · checked Back:abcdefgh

  5. Source 5: Regional availability and outbound IP addresses IBM · checked Back:abcd

  6. Source 6: Provide identity and credential management for agent applications with Amazon Bedrock AgentCore Identity AWS · checked Back:abcdefg

  7. Source 7: Prerequisites for configuring agent identity IBM · checked Back:abcde

  8. Source 8: AWS Agent Registry: Discover and manage agents, tools, and resources AWS · checked Back:abcd

  9. Source 9: HTTP passthrough targets - AgentCore Gateway AWS · checked Back:abcd

  10. Source 10: Sharing a registry across accounts with AWS RAM AWS · checked Back:abcde

  11. Source 11: AI Agent Builder | IBM watsonx Orchestrate IBM · checked Back:abcdef

  12. Source 12: Welcome to IBM watsonx Orchestrate Agent Development Kit IBM · checked Back:abc

  13. Source 13: Agent identity overview IBM · checked Back:ab

  14. Source 14: AI Agent Control Plane | IBM watsonx Orchestrate IBM · checked Back:ab

  15. Source 15: Partner A2A (Agent2Agent) agents IBM · checked Back:abcde

  16. Source 16: Amazon Bedrock AgentCore FAQs AWS · checked Back:abcdefgh

  17. Source 17: Installing on IBM watsonx Orchestrate On-premises IBM · checked Back:abc

  18. Source 18: Features of AgentCore Identity AWS · checked Back to text

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  20. Source 20: The AI Assistant for everyone: watsonx Orchestrate combines generative AI and automation to boost productivity | IBM IBM · checked Back:ab

  21. Source 21: Agentic Control Plane in IBM watsonx Orchestrate: One place to control every AI agent IBM · checked Back:ab

  22. Source 22: Governing assets with AI Gateway IBM · checked Back:abcd

  23. Source 23: Amazon Bedrock AgentCore Gateway: A secure AI gateway for agents, tools, and models AWS · checked Back:abc

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  25. Source 25: Observe your agent applications on Amazon Bedrock AgentCore Observability AWS · checked Back to text

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  27. Source 27: IBM watsonx Orchestrate Agent Catalog IBM · checked Back:abcd

  28. Source 28: Adding agents from third-party platforms IBM · checked Back:abc

  29. Source 29: Connecting and configuring Amazon Bedrock IBM · checked Back:ab

  30. Source 30: Connecting and configuring Gemini Enterprise Agent Platform IBM · checked Back to text

  31. Source 31: Connecting and configuring Microsoft Azure AI Foundry IBM · checked Back to text

  32. Source 32: Add observability to your Amazon Bedrock AgentCore resources AWS · checked Back:ab

  33. Source 33: Exporting observability traces with OpenTelemetry (watsonx Orchestrate ADK docs) IBM · checked Back to text

  34. Source 34: Protecting assets with controls IBM · checked Back:abc

  35. Source 35: Managing access using the security control center IBM · checked Back to text

  36. Source 36: Connect to private resources in your VPC using VPC Lattice AWS · checked Back to text

  37. Source 37: Using private network endpoints IBM · checked Back:ab

  38. Source 38: Configuring TLS tunnel IBM · checked Back:ab

  39. Source 39: Authenticate and authorize with Inbound Auth and Outbound Auth AWS · checked Back:ab

  40. Source 40: Configure inbound JWT authorizer AWS · checked Back:ab

  41. Source 41: Configuring SSO for platform access IBM · checked Back:abc

  42. Source 42: Resource-based policies for Amazon Bedrock AgentCore AWS · checked Back:ab

  43. Source 43: Key capabilities - AWS Agent Registry AWS · checked Back:abcd

  44. Source 44: Deprecating registry records AWS · checked Back to text

  45. Source 45: List of events for activity tracking IBM · checked Back:ab

  46. Source 46: Managing the agent directory IBM · checked Back:ab

  47. Source 47: Log Amazon Bedrock AgentCore Gateway API calls with CloudTrail AWS · checked Back:ab

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  49. Source 49: Activity tracking events on IBM Cloud IBM · checked Back:ab

  50. Source 50: Enabling external logging for AWS IBM · checked Back:ab

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  57. Source 57: Concepts and terminology - AWS Agent Registry AWS · checked Back to text

  58. Source 58: Adding an agent-to-agent connection IBM · checked Back to text

  59. Source 59: Understand the AgentCore Runtime service contract AWS · checked Back:ab

  60. Source 60: Supported targets for Amazon Bedrock AgentCore gateways AWS · checked Back:ab

  61. Source 61: Using the Registry MCP endpoint AWS · checked Back to text

  62. Source 62: Connect to external agents (watsonx Orchestrate ADK docs) IBM · checked Back:abc

  63. Source 63: Agent-to-Agent (A2A) Protocol endpoints IBM · checked Back:ab

  64. Source 64: MCP servers IBM · checked Back:ab

  65. Source 65: Manage all your AI agents in one place with watsonx Orchestrate IBM · checked Back to text

  66. Source 66: Cross-region inference in AgentCore Memory, Policy in AgentCore, and AgentCore Evaluations AWS · checked Back to text

  67. Source 67: Compare AWS Support plans AWS · checked Back to text

  68. Source 68: High availability, business continuity, backups and disaster recovery on AWS IBM · checked Back to text

  69. Source 69: Licenses and entitlements for watsonx Orchestrate on IBM Cloud IBM · checked Back to text

  70. Source 70: Getting help and support IBM · checked Back to text

  71. Source 71: Getting started as an administrator IBM · checked Back to text

  72. Source 72: Available AI models IBM · checked Back:abc

  73. Source 73: Choosing your LLM (watsonx Orchestrate ADK docs) IBM · checked Back:ab

  74. Source 74: Any agent, any framework: Inside the IBM watsonx Orchestrate Agent Catalog IBM · checked Back to text

  75. Source 75: Monitor AgentCore resources across accounts AWS · checked Back to text

  76. Source 76: Managing asset controls IBM · checked Back to text

  77. Source 77: Importing agents into the agent directory IBM · checked Back to text

  78. Source 78: Why Blocks? Blocks.ai · checked Back to text

  79. Source 79: What is Blocks? Blocks.ai · checked Back to text

  80. Source 80: Your company's private network Blocks.ai · checked Back to text

  81. Source 81: Network requirements Blocks.ai · checked Back to text

  82. Source 82: Solutions: Agent sprawl Blocks.ai · checked Back to text