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Alternatives to Blocks.ai

Blocks.ai

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

Summary

Blocks.ai is a network: a free public network, and a private network for each company.⁠Source 1, Source 2 A company’s private network is one place to connect, govern, and audit its agents, whoever built them and wherever they run.⁠Source 2 Each agent connects out with no inbound ports; Blocks.ai doesn’t build or host agents.⁠Source 3, Source 4, Source 5

By Blocks.ai teamLast checked

Where Blocks.ai sits

Six layers of running AI agents at a company, and what Blocks.ai’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
  • Not included

Blocks.ai

  • Build agents: Not includedUse LangChain or CrewAI⁠Source 4
  • Host and run agents: Not includedYou run your agent⁠Source 5
  • Identity and access: OfferedMachine identity per agent⁠Source 6
  • Registry and governance: OfferedPrivate registry and Admin Console⁠Source 2
  • Traffic between agents, tools, and models: OfferedPrivate network for every agent⁠Source 2
  • Agents across organizations: OfferedPartners share only chosen agents⁠Source 7

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

Agent control planes

4 alternatives

The group Blocks.ai sits in, so listed first.

  • Microsoft Agent 365

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

    Where it sits⁠Source 8, Source 9, Source 10, Source 11, Source 12

    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; Microsoft says its separate Copilot Studio and Microsoft Foundry can provide built-in Agent 365 integration for some scenarios.⁠Source 13, Source 14, Source 15 On Blocks.ai, agents join by connecting out, with no inbound ports.⁠Source 3, Source 16

    Blocks.ai vs Microsoft Agent 365

  • MuleSoft Agent Fabric

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

    Where it sits⁠Source 17

    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: scanners register agents from supported platforms, and Omni Gateway enforces policy in each managed agent’s request path.⁠Source 17, Source 18 It also orchestrates A2A-compliant agents, which Blocks.ai doesn’t.⁠Source 5, Source 17

    Blocks.ai 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 19, Source 20, Source 21

    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 says it discovers agents and MCP servers, including on other platforms, through connectors.⁠Source 20, Source 22 On your company’s private network, each agent connects out with no inbound ports and joins your private registry, wherever it runs.⁠Source 2, Source 3, Source 16

    Blocks.ai 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 23, Source 24, Source 25

    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 per Workday tenant, it manages agents, each with a unique Workday identity.⁠Source 23, Source 24, Source 26 On the Pro tier, a partner company joins your private network as its own organization.⁠Source 1, Source 27 You call only what it shares.⁠Source 7

    Blocks.ai 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 28

    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 feature that governs MCP servers and their tools: a portal puts several behind one endpoint, Cloudflare Access sets who can connect, and tool requests are logged.⁠Source 28 Blocks.ai connects, governs, and audits the agents themselves.⁠Source 2

    Blocks.ai vs Cloudflare MCP server portals

  • Kong AI Gateway

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

    Where it sits⁠Source 29, Source 30, Source 31

    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 that proxies and governs model, MCP, and agent-to-agent traffic, forwarding calls to each agent at its own URL.⁠Source 29, Source 32 Blocks.ai agents connect out instead, with no inbound ports.⁠Source 3

    Blocks.ai 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 33, Source 34, Source 35

    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.⁠Source 36 Admins register agents in an Okta org and define what each can access.⁠Source 37, Source 38, Source 39 Blocks.ai’s Pro-tier single sign-on is tested with Okta.⁠Source 40

    Blocks.ai 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 41, Source 42

    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.⁠Source 43 Zenity says it finds agents in SaaS platforms, custom builds, and on laptops, and can block actions on Copilot Studio, Microsoft Foundry, and coding agents.⁠Source 41, Source 44

    Blocks.ai vs Zenity

Platforms to build and run agents

6 alternatives

  • Amazon Bedrock AgentCore

    AWS platform for building, deploying, and operating AI agents

    Where it sits⁠Source 45, Source 46, Source 47, Source 48, Source 49

    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 to build, deploy, and operate agents, with a serverless runtime for them and a registry AWS says works with agents on premises or in other clouds.⁠Source 45 Blocks.ai doesn’t build or host agents.⁠Source 4, Source 5

    Blocks.ai vs Amazon Bedrock AgentCore

  • CrewAI AMP

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

    Where it sits⁠Source 50, Source 51, Source 52, Source 53, Source 54, Source 55

    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

    A platform to build CrewAI crews, in code or by conversation in Crew Studio, then deploy and monitor them on managed infrastructure.⁠Source 51, Source 56 Blocks.ai’s docs include a guide for CrewAI crews you run yourself.⁠Source 57

    Blocks.ai vs CrewAI AMP

  • Gemini Enterprise Agent Platform

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

    Where it sits⁠Source 58, Source 59, Source 60, Source 61

    1. Build agents: Offered, Agent Studio low-code canvas
    2. Host and run agents: Offered, Agent Runtime
    3. Identity and access: Offered, SPIFFE-based Agent Identity
    4. Registry and governance: Offered, Agent Registry
    5. Traffic between agents, tools, and models: Offered, Agent Gateway
    6. Agents across organizations: Offered, Gateway calls to outside agents

    Google Cloud’s platform to build, deploy, and govern agents, with Agent Runtime to run them and Agent Gateway to govern their traffic.⁠Source 58, Source 59, Source 62 Blocks.ai doesn’t build or host agents.⁠Source 4, Source 5 It connects them where they already run.⁠Source 5

    Blocks.ai vs Gemini Enterprise Agent Platform

  • IBM watsonx Orchestrate

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

    Where it sits⁠Source 63, Source 64, Source 65, Source 66, Source 67

    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 says its platform builds, runs, and orchestrates agents, and its control plane also governs agents built elsewhere.⁠Source 64, Source 66, Source 68 Blocks.ai doesn’t build or host agents, and doesn’t orchestrate them.⁠Source 4, Source 5

    Blocks.ai vs IBM watsonx Orchestrate

  • LangSmith

    Platform for observing, evaluating, and deploying agents

    Where it sits⁠Source 69, Source 70, Source 71, Source 72, Source 73

    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 to observe, evaluate, and deploy agents.⁠Source 74 It runs in LangChain’s cloud, or self-hosted or hybrid, on Enterprise.⁠Source 75, Source 76 Blocks.ai doesn’t build or host agents.⁠Source 4, Source 5

    Blocks.ai vs LangSmith

  • n8n

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

    Where it sits⁠Source 77, Source 78, Source 79, Source 80

    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 78, Source 81 Blocks.ai doesn’t build or host agents, and its docs include a guide for connecting n8n workflows.⁠Source 4, Source 5, Source 82

    Blocks.ai vs n8n

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 83, Source 84, Source 85, Source 86, Source 87, Source 88

    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 supplies the registry and access rules, on openly licensed protocols such as A2A and MCP, and A2A leaves authorization logic to the implementer.⁠Source 86, Source 89, Source 90 Blocks.ai doesn’t support air-gapped networks.⁠Source 91

    Blocks.ai vs DIY

Questions buyers ask

Does Blocks.ai keep a registry of every agent?

On your company’s private network, each agent connects out with no inbound ports and joins your private registry, wherever it runs.⁠Source 2, Source 3, Source 16 On the Pro tier, administrators see every registered agent in the Admin Console.⁠Source 2, Source 92 Finding agents that haven’t connected is not publicly documented.

How is Blocks.ai priced?

Blocks.ai’s public network is free, and Pro pricing is set with each customer.⁠Source 1 On the Pro tier, each company gets a single-tenant deployment, with single sign-on, an Admin Console, and an audit log.⁠Source 2

Can Blocks.ai manage agents built with other frameworks?

Yes. Blocks.ai works with agents built on CrewAI, LangChain, or anything else, if the agent takes a task and returns a result.⁠Source 4, Source 5 Each connects through the SDK for Node.js or Python and keeps running on your own infrastructure.⁠Source 5, Source 93, Source 94

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 .

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Sources

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

  1. Source 1: Pricing Blocks.ai · checked Back:abc

  2. Source 2: Your company's private network Blocks.ai · checked Back:abcdefghi

  3. Source 3: Network requirements Blocks.ai · checked Back:abcde

  4. Source 4: Why Blocks? Blocks.ai · checked Back:abcdefgh

  5. Source 5: What is Blocks? Blocks.ai · checked Back:abcdefghijk

  6. Source 6: Authentication reference Blocks.ai · checked Back to text

  7. Source 7: Joining a Blocks network Blocks.ai · checked Back:ab

  8. Source 8: Agent 365 SDK frequently asked questions | Microsoft Learn Microsoft · checked Back to text

  9. Source 9: Microsoft Agent 365 SDK overview | Microsoft Learn Microsoft · checked Back to text

  10. Source 10: Agent 365 identity | Microsoft Learn Microsoft · checked Back to text

  11. Source 11: Agent Registry in Microsoft 365 admin center - Microsoft 365 admin | Microsoft Learn Microsoft · checked Back to text

  12. Source 12: Bring your own (BYO) MCP server in Microsoft 365 admin center - Microsoft 365 admin | Microsoft Learn Microsoft · checked Back to text

  13. Source 13: Microsoft Agent 365 - Service Descriptions | Microsoft Learn Microsoft · checked Back to text

  14. Source 14: Choose an Agent 365 Integration Option | Microsoft Learn Microsoft · checked Back to text

  15. Source 15: What is Microsoft Foundry? - Microsoft Foundry | Microsoft Learn Microsoft · checked Back to text

  16. Source 16: Solutions: Agent sprawl Blocks.ai · checked Back:abc

  17. Source 17: Agent Fabric Overview Salesforce · checked Back:abc

  18. Source 18: Get Started with Agent Fabric Salesforce · checked Back to text

  19. Source 19: What's new in AI Gateway v3.4 - September 2026 release (ServiceNow Community, AI Control Tower articles) ServiceNow · checked Back to text

  20. Source 20: AI Control Tower - ServiceNow (product page) ServiceNow · checked Back:ab

  21. Source 21: AI Gateway Implementation Guide (ServiceNow Community, AI Control Tower articles) ServiceNow · checked Back to text

  22. Source 22: Discovering AI assets through connectors (ServiceNow product documentation, Australia release) ServiceNow · checked Back to text

  23. Source 23: Concept: Agent Security (Workday Administrator Guide) Workday · checked Back:ab

  24. Source 24: About Workday Agents (Workday Administrator Guide) Workday · checked Back:ab

  25. Source 25: Concept: Workday Agent Gateway (Workday Administrator Guide) Workday · checked Back to text

  26. Source 26: Set Up Agent System of Record (Workday Administrator Guide) Workday · checked Back to text

  27. Source 27: Solutions: Partner networks Blocks.ai · checked Back to text

  28. Source 28: MCP server portals · Cloudflare One docs Cloudflare · checked Back:ab

  29. Source 29: AI Agents - Kong AI Gateway docs Kong · checked Back:ab

  30. Source 30: Agents in Catalog - Kong Docs Kong · checked Back to text

  31. Source 31: Kong AI Gateway product page Kong · checked Back to text

  32. Source 32: AI Gateway architecture - Kong Docs Kong · checked Back to text

  33. Source 33: Add AI agents manually (Okta Help Center) Okta · checked Back to text

  34. Source 34: Okta for AI Agents (product page) Okta · checked Back to text

  35. Source 35: Agent Gateway (Okta Help Center) Okta · checked Back to text

  36. Source 36: Okta brings first-class identity to AI agents with Agent SSO Okta · checked Back to text

  37. Source 37: Add and register AI agents (Okta Help Center) Okta · checked Back to text

  38. Source 38: AI agent resource connections (Okta Help Center) Okta · checked Back to text

  39. Source 39: Set up AI agent token exchange (Okta Developer) Okta · checked Back to text

  40. Source 40: Single sign-on (SSO) Blocks.ai · checked Back to text

  41. Source 41: AI Observability | See Every Agent, Know What it Touches | Zenity Zenity · checked Back:ab

  42. Source 42: Coding and Personal Agents | Zenity Zenity · checked Back to text

  43. Source 43: AWS Marketplace: Zenity Zenity · checked Back to text

  44. Source 44: Zenity's Coverage of the 2026 OWASP Top 10 for LLM Apps Zenity · checked Back to text

  45. Source 45: Overview - Amazon Bedrock AgentCore (Developer Guide) AWS · checked Back:ab

  46. Source 46: Provide identity and credential management for agent applications with Amazon Bedrock AgentCore Identity AWS · checked Back to text

  47. Source 47: AWS Agent Registry: Discover and manage agents, tools, and resources AWS · checked Back to text

  48. Source 48: HTTP passthrough targets - AgentCore Gateway AWS · checked Back to text

  49. Source 49: Sharing a registry across accounts with AWS RAM AWS · checked Back to text

  50. Source 50: Crew Studio CrewAI · checked Back to text

  51. Source 51: CrewAI AMP (platform docs introduction) CrewAI · checked Back:ab

  52. Source 52: Role-Based Access Control (RBAC) CrewAI · checked Back to text

  53. Source 53: Agent Repositories CrewAI · checked Back to text

  54. Source 54: Custom MCP Servers CrewAI · checked Back to text

  55. Source 55: A2A on AMP CrewAI · checked Back to text

  56. Source 56: Enable Crew Studio CrewAI · checked Back to text

  57. Source 57: Connect CrewAI to Blocks Blocks.ai · checked Back to text

  58. Source 58: Agent Platform overview Google · checked Back:ab

  59. Source 59: Agent Gateway overview Google · checked Back:ab

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  61. Source 61: Agent Registry overview Google · checked Back to text

  62. Source 62: Gemini Enterprise Agent Platform (formerly Vertex AI) Google · checked Back to text

  63. Source 63: AI Agent Builder | IBM watsonx Orchestrate IBM · checked Back to text

  64. Source 64: Welcome to IBM watsonx Orchestrate Agent Development Kit IBM · checked Back:ab

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  66. Source 66: AI Agent Control Plane | IBM watsonx Orchestrate IBM · checked Back:ab

  67. Source 67: Partner A2A (Agent2Agent) agents IBM · checked Back to text

  68. Source 68: IBM watsonx Orchestrate IBM · checked Back to text

  69. Source 69: No-code agents with LangSmith Fleet LangChain · checked Back to text

  70. Source 70: LangSmith Deployment LangChain · checked Back to text

  71. Source 71: Agent platform comparison LangChain · checked Back to text

  72. Source 72: LangSmith Deployment LangChain · checked Back to text

  73. Source 73: Remote MCP servers LangChain · checked Back to text

  74. Source 74: LangSmith: The Agent Engineering Platform LangChain · checked Back to text

  75. Source 75: Cloud (SaaS) LangChain · checked Back to text

  76. Source 76: LangSmith Plans and Pricing LangChain · checked Back to text

  77. Source 77: LangChain in n8n n8n · checked Back to text

  78. Source 78: AI Workflow Automation Platform - n8n n8n · checked Back:ab

  79. Source 79: Build and manage agents n8n · checked Back to text

  80. Source 80: MCP Client Tool n8n · checked Back to text

  81. Source 81: Choose how to use n8n n8n · checked Back to text

  82. Source 82: Connect n8n to Blocks Blocks.ai · checked Back to text

  83. Source 83: google/adk-python README (GitHub) github.com · checked Back to text

  84. Source 84: langchain-ai/langgraph README (GitHub) github.com · checked Back to text

  85. Source 85: Integrating with Model Context Protocol (MCP) - Keycloak keycloak.org · checked Back to text

  86. Source 86: Agent Discovery - A2A Protocol a2a-protocol.org · checked Back:ab

  87. Source 87: Designing MCP Gateway Uber's MCP Management Platform - Uber Blog uber.com · checked Back to text

  88. Source 88: Enterprise Features - A2A Protocol a2a-protocol.org · checked Back to text

  89. Source 89: Agent2Agent (A2A) Protocol Specification a2a-protocol.org · checked Back to text

  90. Source 90: modelcontextprotocol/modelcontextprotocol LICENSE (GitHub) github.com · checked Back to text

  91. Source 91: Blocks Network Architecture whitepaper Blocks.ai · checked Back to text

  92. Source 92: Admin Console Blocks.ai · checked Back to text

  93. Source 93: Connect your agent Blocks.ai · checked Back to text

  94. Source 94: Key concepts Blocks.ai · checked Back to text

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