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Alternatives to Gemini Enterprise Agent Platform

Gemini Enterprise Agent Platform

Google Cloud platform to build, deploy, govern, and optimize AI agents

Summary

Gemini Enterprise Agent Platform is Google Cloud’s platform to build, deploy, govern, and optimize agents, described as an evolution of Vertex AI.⁠Source 1, Source 2 Agent Registry catalogs agents at the Google Cloud project level, and Agent Gateway can govern traffic for agents on Agent Runtime and the Gemini Enterprise app.⁠Source 3, Source 4, Source 5

By Blocks.ai teamLast checked

Where Gemini Enterprise Agent Platform sits

Six layers of running AI agents at a company, and what Gemini Enterprise Agent Platform’s own public sources say it covers. Each alternative below gets the same six layers as a strip.

Public sources · checked 2 October 2026
  • Offered

Gemini Enterprise Agent Platform

  • Build agents: OfferedAgent Studio low-code canvas⁠Source 1
  • Host and run agents: OfferedAgent Runtime⁠Source 5
  • Identity and access: OfferedSPIFFE-based Agent Identity⁠Source 6
  • Registry and governance: OfferedAgent Registry⁠Source 3
  • Traffic between agents, tools, and models: OfferedAgent Gateway⁠Source 5
  • Agents across organizations: OfferedGateway calls to outside agents⁠Source 5

How to read the strips

  1. 01Build agents
  2. 02Host and run agents
  3. 03Identity and access
  4. 04Registry and governance
  5. 05Traffic between agents, tools, and models
  6. 06Agents across organizations
  • Offered
  • Preview
  • You build it
  • Not included
  • Not publicly documented

Platforms to build and run agents

5 alternatives

The group Gemini Enterprise Agent Platform sits in, so listed first.

  • Amazon Bedrock AgentCore

    AWS platform for building, deploying, and operating AI agents

    Where it sits⁠Source 7, Source 8, Source 9, Source 10, Source 11

    1. Build agents: Offered, Harness managed agent loop
    2. Host and run agents: Offered, AgentCore Runtime
    3. Identity and access: Offered, AgentCore Identity workload identities
    4. Registry and governance: Offered, AWS Agent Registry with approvals
    5. Traffic between agents, tools, and models: Offered, AgentCore Gateway
    6. Agents across organizations: Offered, Registry shared through AWS RAM

    AWS’s platform for building, deploying, and operating agents with any framework and model.⁠Source 7 It can share registry records with other AWS accounts; Agent Platform’s registry operates at the project level.⁠Source 4, Source 11

    Amazon Bedrock AgentCore vs Gemini Enterprise Agent Platform

  • CrewAI AMP

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

    Where it sits⁠Source 12, Source 13, Source 14, Source 15, Source 16, Source 17

    1. Build agents: Offered, Crew Studio visual editor
    2. Host and run agents: Offered, Managed infrastructure for crews
    3. Identity and access: Offered, Per-deployment allow lists
    4. Registry and governance: Offered, Agent Repositories
    5. Traffic between agents, tools, and models: Offered, Custom MCP server connections
    6. Agents across organizations: Preview, Public A2A agents

    CrewAI’s platform for deploying, monitoring, and scaling crews and agents in production; crews are built in code or in Crew Studio.⁠Source 13 Its Enterprise plan can run in your own VPC or infrastructure.⁠Source 18

    CrewAI AMP vs Gemini Enterprise Agent Platform

  • IBM watsonx Orchestrate

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

    Where it sits⁠Source 19, Source 20, Source 21, Source 22, Source 23

    1. Build agents: Offered, Visual builder and ADK
    2. Host and run agents: Offered, Agents run on watsonx Orchestrate
    3. Identity and access: Preview, Agent identity
    4. Registry and governance: Offered, Agentic Control Plane
    5. Traffic between agents, tools, and models: Offered, A2A calls to agent endpoints
    6. Agents across organizations: Offered, Partner A2A agents in catalog

    IBM calls it an agent management platform to build, deploy, orchestrate, and govern agents; it is sold by plan and runs as SaaS or on premises.⁠Source 24, Source 25, Source 26 In watsonx Orchestrate, agent identity is in private preview.⁠Source 27

    Gemini Enterprise Agent Platform vs IBM watsonx Orchestrate

  • LangSmith

    Platform for observing, evaluating, and deploying agents

    Where it sits⁠Source 28, Source 29, Source 30, Source 31, Source 32

    1. Build agents: Offered, Fleet agent builder
    2. Host and run agents: Offered, LangSmith Deployment runtime
    3. Identity and access: Offered, Fleet per-agent permissions
    4. Registry and governance: Offered, Centralized registry in Deployment
    5. Traffic between agents, tools, and models: Offered, Fleet forwards MCP tool calls
    6. Agents across organizations: Not publicly documented

    LangChain calls it a framework-agnostic platform for observing, evaluating, and deploying agents.⁠Source 33 It runs in LangChain’s cloud, or self-hosted or hybrid, on Enterprise, and agents hosted elsewhere can send it traces.⁠Source 34, Source 35, Source 36

    Gemini Enterprise Agent Platform vs LangSmith

  • n8n

    Platform for AI agents and workflows you can see and control, built visually or with code

    Where it sits⁠Source 37, Source 38, Source 39, Source 40

    1. Build agents: Offered, LangChain-based AI Agent node
    2. Host and run agents: Offered, Your infrastructure or n8n’s
    3. Identity and access: Not publicly documented
    4. Registry and governance: Preview, Agents stored in projects
    5. Traffic between agents, tools, and models: Offered, MCP client for external tools
    6. Agents across organizations: Not publicly documented

    n8n says you build AI agents and workflows in it, visually or with code, on n8n Cloud or self-hosted.⁠Source 38, Source 41 Its Agents feature, in preview, keeps agents in n8n projects alongside workflows.⁠Source 39

    Gemini Enterprise Agent Platform vs n8n

Agent control planes

5 alternatives

  • Blocks.ai

    Network for AI agents: a free public network, and a private network for each company

    Where it sits⁠Source 42, Source 43, Source 44, Source 45, Source 46

    1. Build agents: Not included, Use LangChain or CrewAI
    2. Host and run agents: Not included, You run your agent
    3. Identity and access: Offered, Machine identity per agent
    4. Registry and governance: Offered, Private registry and Admin Console
    5. Traffic between agents, tools, and models: Offered, Private network for every agent
    6. Agents across organizations: Offered, Partners share only chosen agents

    Blocks.ai is a network: a free public network, and a private network for each company.⁠Source 45, Source 47 Blocks.ai doesn’t build or host agents.⁠Source 42, Source 43 On the Pro tier, partner companies can join as their own organizations.⁠Source 47, Source 48

    Blocks.ai vs Gemini Enterprise Agent Platform

  • Microsoft Agent 365

    Microsoft 365 control plane to discover, manage, govern, and secure AI agents

    Where it sits⁠Source 49, Source 50, Source 51, Source 52, Source 53

    1. Build agents: Not included, Use your chosen framework
    2. Host and run agents: Not included, You host your agent
    3. Identity and access: Offered, Entra Agent ID
    4. Registry and governance: Offered, Agent registry in admin center
    5. Traffic between agents, tools, and models: Preview, Tooling Gateway for MCP servers
    6. Agents across organizations: Not publicly documented

    A Microsoft 365 control plane for agents built and run elsewhere.⁠Source 49, Source 50, Source 54 It has an organization-wide registry and is licensed per user; Agent Platform’s registry operates at the project level.⁠Source 4, Source 52, Source 55

    Gemini Enterprise Agent Platform vs Microsoft Agent 365

  • MuleSoft Agent Fabric

    Control plane for agents, MCP servers, and APIs across platforms

    Where it sits⁠Source 56

    1. Build agents: Offered, Agent brokers in Agent Script
    2. Host and run agents: Offered, Agent brokers on CloudHub 2.0
    3. Identity and access: Offered, Omni Gateway authentication and authorization
    4. Registry and governance: Offered, Agent Registry in Anypoint Exchange
    5. Traffic between agents, tools, and models: Offered, Omni Gateway in request path
    6. Agents across organizations: Not publicly documented

    A control plane for agents, MCP servers, and APIs across platforms.⁠Source 57 Its scanners register agents found on supported platforms, and one scans Gemini Enterprise Agent Platform agents into its registry.⁠Source 56, Source 58

    Gemini Enterprise Agent Platform vs MuleSoft Agent Fabric

  • ServiceNow AI Control Tower

    What ServiceNow calls a central hub to discover, secure, govern, observe, and measure AI

    Where it sits⁠Source 59, Source 60, Source 61

    1. Build agents: Not publicly documented
    2. Host and run agents: Not publicly documented
    3. Identity and access: Offered, Scoped OAuth tokens (community docs)
    4. Registry and governance: Offered, AI inventory tied to CMDB
    5. Traffic between agents, tools, and models: Offered, AI Gateway (community docs)
    6. Agents across organizations: Not publicly documented

    ServiceNow describes it as a central hub on the ServiceNow AI Platform to discover, secure, govern, observe, and measure AI.⁠Source 60 For Agent Platform, its kill switch covers only agents with a unique agent identity.⁠Source 62

    Gemini Enterprise Agent Platform vs ServiceNow AI Control Tower

  • Workday Agent System of Record

    Workday system of record to find, add, register, configure, monitor, and manage AI agents

    Where it sits⁠Source 63, Source 64, Source 65

    1. Build agents: Not publicly documented
    2. Host and run agents: Not publicly documented
    3. Identity and access: Offered, Agent System User per agent
    4. Registry and governance: Offered, Agent Registry in Management Hub
    5. Traffic between agents, tools, and models: Offered, Agent Gateway for Workday APIs
    6. Agents across organizations: Not publicly documented

    Set up in each Workday tenant, it registers and manages agents, each with a unique Workday identity.⁠Source 63, Source 64, Source 66 Workday security policies and groups set each agent’s access in Workday.⁠Source 64, Source 67

    Gemini Enterprise Agent Platform vs Workday Agent System of Record

Gateways, identity, and security

4 alternatives

  • Cloudflare MCP server portals

    Cloudflare One feature that puts MCP servers behind one governed endpoint

    Where it sits⁠Source 68

    1. Build agents: Not publicly documented
    2. Host and run agents: Not publicly documented
    3. Identity and access: Offered, Identity provider or service token
    4. Registry and governance: Offered, Centrally managed MCP servers
    5. Traffic between agents, tools, and models: Offered, Proxy for MCP tool calls
    6. Agents across organizations: Not publicly documented

    A portal that puts MCP servers behind one URL for MCP clients, with Access policies deciding who connects.⁠Source 68 Admins can choose which tools and prompt templates each portal exposes.⁠Source 68

    Cloudflare MCP server portals vs Gemini Enterprise Agent Platform

  • Kong AI Gateway

    Gateway that governs LLM, MCP, and agent-to-agent traffic

    Where it sits⁠Source 69, Source 70, Source 71

    1. Build agents: Not publicly documented
    2. Host and run agents: Not publicly documented
    3. Identity and access: Offered, Per-agent allow or deny lists
    4. Registry and governance: Preview, Konnect Catalog agents
    5. Traffic between agents, tools, and models: Offered, Gateway for LLM, MCP, A2A
    6. Agents across organizations: Not publicly documented

    A gateway for LLM, MCP, and A2A traffic.⁠Source 72 In version 2.x, it proxies to agents’ own URLs from data plane nodes you run; Google’s Agent Gateway is a managed, regional component.⁠Source 69, Source 72, Source 73

    Gemini Enterprise Agent Platform vs Kong AI Gateway

  • Okta for AI Agents

    Okta offering that gives AI agents a first-class identity so organizations can discover, onboard, protect, and govern them

    Where it sits⁠Source 74, Source 75, Source 76

    1. Build agents: Not publicly documented
    2. Host and run agents: Not publicly documented
    3. Identity and access: Offered, Agent identity and credentials
    4. Registry and governance: Offered, Universal Directory with human owners
    5. Traffic between agents, tools, and models: Preview, Agent Gateway for MCP tools
    6. Agents across organizations: Not publicly documented

    Okta says it gives AI agents a first-class identity and lets companies manage agents from any vendor.⁠Source 77, Source 78 Okta can import agents from Gemini Enterprise Agent Platform.⁠Source 79

    Gemini Enterprise Agent Platform vs Okta for AI Agents

  • Zenity AI Agent Security & Governance Platform

    Security and governance platform for AI agents, aimed at security teams

    Where it sits⁠Source 80, Source 81

    1. Build agents: Not publicly documented
    2. Host and run agents: Not publicly documented
    3. Identity and access: Not publicly documented
    4. Registry and governance: Offered, AI Observability agent inventory
    5. Traffic between agents, tools, and models: Offered, Tool-call blocking for coding agents
    6. Agents across organizations: Not publicly documented

    A security and governance platform for AI agents that Zenity aims at security teams.⁠Source 82, Source 83 Zenity says it blocks actions inline on Copilot Studio, Microsoft Foundry, and coding agents.⁠Source 84

    Gemini Enterprise Agent Platform vs Zenity

Build it yourself

1 alternative

Not a product: your own team assembles the pieces.

  • Build it yourself (DIY)

    Building agent connections and controls in-house from open protocols, existing infrastructure, and open-source tools

    Where it sits⁠Source 85, Source 86, Source 87, Source 88, Source 89, Source 90

    1. Build agents: You build it, Open-source frameworks like ADK
    2. Host and run agents: You build it, Self-hosted, like LangGraph
    3. Identity and access: You build it, Your own identity provider
    4. Registry and governance: You build it, Your own agent registry
    5. Traffic between agents, tools, and models: You build it, Your gateway and service mesh
    6. Agents across organizations: You build it, A2A with API management

    Your team wires open protocols such as A2A and MCP together; A2A leaves authorization logic to the implementer, and MCP authorization is optional.⁠Source 91, Source 92 Uber and Pinterest each say they built an MCP registry.⁠Source 89, Source 93

    DIY vs Gemini Enterprise Agent Platform

Questions buyers ask

Does Gemini Enterprise Agent Platform keep a registry of every agent?

Agent Registry catalogs agents, MCP servers, and tools, and operates at the Google Cloud project level.⁠Source 3, Source 4 Agents on supported Google Cloud runtimes can be registered automatically; agents in other projects, on premises, or on external platforms need manual registration.⁠Source 94, Source 95

How is Gemini Enterprise Agent Platform priced?

Agent Registry is free; skill scanning is billed from January 2027.⁠Source 96 Agent Runtime costs $0.085 per vCPU-hour and $0.009 per GiB-hour, with a monthly free tier.⁠Source 97 Agent Gateway egress costs $0.085 per 15,000 requests.⁠Source 97 Google says new customers get up to $300 in free credits.⁠Source 2

Can Gemini Enterprise Agent Platform manage agents that run outside Google Cloud?

Agents hosted outside Google Cloud can be listed in Agent Registry by manual registration.⁠Source 98 Google lists Agent Identity support for Agent Runtime, the Gemini Enterprise app, and Cloud Run, and Agent Gateway can govern traffic for agents on Agent Runtime and the Gemini Enterprise app.⁠Source 5, Source 6

How does Gemini Enterprise Agent Platform relate to the Gemini Enterprise app?

Google says Agent Platform is Google Cloud’s platform for developers to build, scale, govern, and optimize agents.⁠Source 2 Agents in Agent Registry can be made available to end users of Google’s separate Gemini Enterprise app.⁠Source 73 Agent Gateway governs only outbound traffic for agents in the app.⁠Source 5

How we compare

Read the full method

Every claim on this page links to a public source. Where none answers a question, the page says so.

We re-check every fact at least every 90 days. This page was last checked .

Something wrong or out of date? Tell us and we’ll correct it.

Sources

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

  1. Source 1: Agent Platform overview Google · checked Back:ab

  2. Source 2: Gemini Enterprise Agent Platform (formerly Vertex AI) Google · checked Back:abc

  3. Source 3: Agent Registry overview Google · checked Back:abc

  4. Source 4: Set up Agent Registry Google · checked Back:abcd

  5. Source 5: Agent Gateway overview Google · checked Back:abcdef

  6. Source 6: Agent Identity overview Google · checked Back:ab

  7. Source 7: Overview - Amazon Bedrock AgentCore (Developer Guide) AWS · checked Back:ab

  8. Source 8: Provide identity and credential management for agent applications with Amazon Bedrock AgentCore Identity AWS · checked Back to text

  9. Source 9: AWS Agent Registry: Discover and manage agents, tools, and resources AWS · checked Back to text

  10. Source 10: HTTP passthrough targets - AgentCore Gateway AWS · checked Back to text

  11. Source 11: Sharing a registry across accounts with AWS RAM AWS · checked Back:ab

  12. Source 12: Crew Studio CrewAI · checked Back to text

  13. Source 13: CrewAI AMP (platform docs introduction) CrewAI · checked Back:ab

  14. Source 14: Role-Based Access Control (RBAC) CrewAI · checked Back to text

  15. Source 15: Agent Repositories CrewAI · checked Back to text

  16. Source 16: Custom MCP Servers CrewAI · checked Back to text

  17. Source 17: A2A on AMP CrewAI · checked Back to text

  18. Source 18: Pricing | CrewAI CrewAI · checked Back to text

  19. Source 19: AI Agent Builder | IBM watsonx Orchestrate IBM · checked Back to text

  20. Source 20: Welcome to IBM watsonx Orchestrate Agent Development Kit IBM · checked Back to text

  21. Source 21: Agent identity overview IBM · checked Back to text

  22. Source 22: AI Agent Control Plane | IBM watsonx Orchestrate IBM · checked Back to text

  23. Source 23: Partner A2A (Agent2Agent) agents IBM · checked Back to text

  24. Source 24: IBM watsonx Orchestrate IBM · checked Back to text

  25. Source 25: IBM watsonx Orchestrate Pricing IBM · checked Back to text

  26. Source 26: Regional availability and outbound IP addresses IBM · checked Back to text

  27. Source 27: Prerequisites for configuring agent identity IBM · checked Back to text

  28. Source 28: No-code agents with LangSmith Fleet LangChain · checked Back to text

  29. Source 29: LangSmith Deployment LangChain · checked Back to text

  30. Source 30: Agent platform comparison LangChain · checked Back to text

  31. Source 31: LangSmith Deployment LangChain · checked Back to text

  32. Source 32: Remote MCP servers LangChain · checked Back to text

  33. Source 33: LangSmith: The Agent Engineering Platform LangChain · checked Back to text

  34. Source 34: Cloud (SaaS) LangChain · checked Back to text

  35. Source 35: LangSmith Plans and Pricing LangChain · checked Back to text

  36. Source 36: Set up LangSmith LangChain · checked Back to text

  37. Source 37: LangChain in n8n n8n · checked Back to text

  38. Source 38: AI Workflow Automation Platform - n8n n8n · checked Back:ab

  39. Source 39: Build and manage agents n8n · checked Back:ab

  40. Source 40: MCP Client Tool n8n · checked Back to text

  41. Source 41: Choose how to use n8n n8n · checked Back to text

  42. Source 42: Why Blocks? Blocks.ai · checked Back:ab

  43. Source 43: What is Blocks? Blocks.ai · checked Back:ab

  44. Source 44: Authentication reference Blocks.ai · checked Back to text

  45. Source 45: Your company's private network Blocks.ai · checked Back:abcd

  46. Source 46: Joining a Blocks network Blocks.ai · checked Back to text

  47. Source 47: Pricing Blocks.ai · checked Back:ab

  48. Source 48: Solutions: Partner networks Blocks.ai · checked Back to text

  49. Source 49: Agent 365 SDK frequently asked questions | Microsoft Learn Microsoft · checked Back:ab

  50. Source 50: Microsoft Agent 365 SDK overview | Microsoft Learn Microsoft · checked Back:ab

  51. Source 51: Agent 365 identity | Microsoft Learn Microsoft · checked Back to text

  52. Source 52: Agent Registry in Microsoft 365 admin center - Microsoft 365 admin | Microsoft Learn Microsoft · checked Back:ab

  53. Source 53: Bring your own (BYO) MCP server in Microsoft 365 admin center - Microsoft 365 admin | Microsoft Learn Microsoft · checked Back to text

  54. Source 54: Microsoft Agent 365 - Service Descriptions | Microsoft Learn Microsoft · checked Back to text

  55. Source 55: Licensing Documents Microsoft · checked Back to text

  56. Source 56: Agent Fabric Overview Salesforce · checked Back:ab

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  58. Source 58: Adding a Scanner for Google Gemini Agent Enterprise Platform Salesforce · checked Back to text

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  60. Source 60: AI Control Tower - ServiceNow (product page) ServiceNow · checked Back:ab

  61. Source 61: AI Gateway Implementation Guide (ServiceNow Community, AI Control Tower articles) ServiceNow · checked Back to text

  62. Source 62: Add a Gemini Enterprise Agent Platform connection (ServiceNow product documentation, Australia release) ServiceNow · checked Back to text

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  65. Source 65: Concept: Workday Agent Gateway (Workday Administrator Guide) Workday · checked Back to text

  66. Source 66: Set Up Agent System of Record (Workday Administrator Guide) Workday · checked Back to text

  67. Source 67: Setup Considerations: Agent Security (Workday Administrator Guide) Workday · checked Back to text

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  73. Source 73: Import A2A agents from Agent Registry Google · checked Back:ab

  74. Source 74: Add AI agents manually (Okta Help Center) Okta · checked Back to text

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  76. Source 76: Agent Gateway (Okta Help Center) Okta · checked Back to text

  77. Source 77: Okta brings first-class identity to AI agents with Agent SSO Okta · checked Back to text

  78. Source 78: Okta announces new innovations to secure AI agents at runtime and automate ongoing agent governance Okta · checked Back to text

  79. Source 79: Apps that support AI agent imports (Okta Help Center) Okta · checked Back to text

  80. Source 80: AI Observability | See Every Agent, Know What it Touches | Zenity Zenity · checked Back to text

  81. Source 81: Coding and Personal Agents | Zenity Zenity · checked Back to text

  82. Source 82: AWS Marketplace: Zenity Zenity · checked Back to text

  83. Source 83: Platform | AI Agent Security & Governance Platform | Zenity Zenity · checked Back to text

  84. Source 84: Zenity's Coverage of the 2026 OWASP Top 10 for LLM Apps Zenity · checked Back to text

  85. Source 85: google/adk-python README (GitHub) github.com · checked Back to text

  86. Source 86: langchain-ai/langgraph README (GitHub) github.com · checked Back to text

  87. Source 87: Integrating with Model Context Protocol (MCP) - Keycloak keycloak.org · checked Back to text

  88. Source 88: Agent Discovery - A2A Protocol a2a-protocol.org · checked Back to text

  89. Source 89: Designing MCP Gateway Uber's MCP Management Platform - Uber Blog uber.com · checked Back:ab

  90. Source 90: Enterprise Features - A2A Protocol a2a-protocol.org · checked Back to text

  91. Source 91: Agent2Agent (A2A) Protocol Specification a2a-protocol.org · checked Back to text

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  93. Source 93: Building an MCP Ecosystem at Pinterest - Pinterest Engineering Blog medium.com · checked Back to text

  94. Source 94: Use automatic registration Google · checked Back to text

  95. Source 95: Register agents Google · checked Back to text

  96. Source 96: Agent Registry pricing Google · checked Back to text

  97. Source 97: Gemini Enterprise Agent Platform pricing Google · checked Back:ab

  98. Source 98: Use manual registration Google · checked Back to text

  99. Source 99: Network requirements Blocks.ai · checked Back to text

  100. Source 100: Solutions: Agent sprawl Blocks.ai · checked Back to text