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Alternatives to LangSmith

LangSmith

Platform for observing, evaluating, and deploying agents

Summary

LangChain describes LangSmith as a framework-agnostic platform for observing, evaluating, and deploying agents.⁠Source 1 LangSmith Deployment runs agents in LangChain’s cloud on Plus or above, or self-hosted or hybrid, on Enterprise.⁠Source 2, Source 3, Source 4 LangSmith Fleet builds agents without code.⁠Source 5

By Blocks.ai teamLast checked

Where LangSmith sits

Six layers of running AI agents at a company, and what LangSmith’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 publicly documented

LangSmith

  • Build agents: OfferedFleet agent builder⁠Source 5
  • Host and run agents: OfferedLangSmith Deployment runtime⁠Source 2
  • Identity and access: OfferedFleet per-agent permissions⁠Source 6
  • Registry and governance: OfferedCentralized registry in Deployment⁠Source 7
  • Traffic between agents, tools, and models: OfferedFleet forwards MCP tool calls⁠Source 8
  • Agents across organizations: Not publicly documented

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 LangSmith sits in, so listed first.

  • Amazon Bedrock AgentCore

    AWS platform for building, deploying, and operating AI agents

    Where it sits⁠Source 9, Source 10, Source 11, Source 12, Source 13

    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 modular services to build, deploy, and operate agents, with no infrastructure to manage.⁠Source 9 AWS Agent Registry catalogs agents and MCP servers on AWS, on premises, or in other clouds, with an approval workflow.⁠Source 9, Source 11

    Amazon Bedrock AgentCore vs LangSmith

  • CrewAI AMP

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

    Where it sits⁠Source 14, Source 15, Source 16, Source 17, Source 18, Source 19

    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 to deploy, monitor, and scale crews in production; crews are built in code or by conversation in Crew Studio.⁠Source 15, Source 20 LangSmith Deployment can run agents built with the open-source CrewAI framework.⁠Source 21

    CrewAI AMP vs LangSmith

  • Gemini Enterprise Agent Platform

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

    Where it sits⁠Source 22, Source 23, Source 24, Source 25

    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, govern, and optimize agents.⁠Source 22, Source 26 Its Agent Registry, scoped to a Google Cloud project, can list agents hosted outside Google Cloud through manual registration.⁠Source 25, Source 27, Source 28

    Gemini Enterprise Agent Platform vs LangSmith

  • IBM watsonx Orchestrate

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

    Where it sits⁠Source 29, Source 30, Source 31, Source 32, Source 33

    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.⁠Source 34 Agents from other platforms, such as Salesforce Agentforce or Microsoft Copilot Studio, can be added as external agents.⁠Source 35, Source 36

    IBM watsonx Orchestrate 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 Self-hosted n8n can send executions to LangSmith for tracing, which isn’t available on n8n Cloud.⁠Source 37

    LangSmith 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 host or run your agent; it runs on your infrastructure.⁠Source 43

    Blocks.ai vs LangSmith

  • Microsoft Agent 365

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

    Where it sits⁠Source 48, Source 49, Source 50, Source 51, Source 52

    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 whose registry lists Microsoft and non-Microsoft agents; Agent 365 uses Entra Agent ID to give agents distinct identities.⁠Source 50, Source 53, Source 54 Microsoft says the Agent 365 SDK doesn’t build, host, or execute agents.⁠Source 49

    LangSmith vs Microsoft Agent 365

  • MuleSoft Agent Fabric

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

    Where it sits⁠Source 55

    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 56 Its scanners can register agents from LangSmith.⁠Source 57 Omni Gateway enforces policy in the request path of managed agents.⁠Source 55

    LangSmith 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 58, Source 59, Source 60

    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 to discover, secure, govern, observe, and measure AI.⁠Source 59 Fully managing external AI assets needs a separate license.⁠Source 61

    LangSmith 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 62, Source 63, Source 64

    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 under Workday security policies.⁠Source 62, Source 63, Source 65, Source 66 External agents are registered through the ASOR API.⁠Source 67

    LangSmith 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 several MCP servers behind one HTTP endpoint; admins can choose the tools each portal exposes, and Cloudflare Access logs each tool request.⁠Source 68

    Cloudflare MCP server portals vs LangSmith

  • 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: it proxies to each agent’s own URL and can check callers against a per-agent allow or deny list.⁠Source 69, Source 72

    Kong AI Gateway vs LangSmith

  • 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 73, Source 74, Source 75

    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 manages agents from any vendor.⁠Source 76, Source 77 Admins define what each agent can access.⁠Source 78 Okta can import agents from LangSmith Deployments.⁠Source 79

    LangSmith 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.⁠Source 82 Zenity says it catalogs agents inside platforms such as Copilot Studio and Agentforce, and can block actions on Copilot Studio, Microsoft Foundry, and coding agents.⁠Source 80, Source 83

    LangSmith 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 84, Source 85, Source 86, Source 87, Source 88, Source 89

    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 MCP and A2A together, and A2A leaves authorization logic to the implementer.⁠Source 90, Source 91 Agents you run yourself can still send traces to LangSmith.⁠Source 92

    DIY vs LangSmith

Questions buyers ask

Does LangSmith keep a registry of every agent?

LangChain says LangSmith Deployment manages agents through a centralized registry with versioning and rollbacks.⁠Source 7 Fleet agents can be private, shared with specific people, or shared with the whole workspace.⁠Source 93 Listing agents deployed or built elsewhere is not publicly documented.

Can LangSmith manage agents built elsewhere?

LangSmith Deployment runs agents built with other frameworks, such as Google ADK, CrewAI, and AutoGen, through a wrapper package or the LangGraph Functional API.⁠Source 21 Agents hosted outside LangSmith can send it traces, including over OpenTelemetry.⁠Source 92, Source 94 LangSmith’s Agent Server supports A2A, with documented gaps.⁠Source 95

How is LangSmith priced?

The Developer plan has one free seat; Plus is $39 per seat a month, with usage metered in LangChain Standard Units at $1 each.⁠Source 4 For Enterprise, which offers self-hosted or hybrid deployment, LangChain says to contact sales.⁠Source 4

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

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

  1. Source 1: LangSmith: The Agent Engineering Platform LangChain · checked Back to text

  2. Source 2: LangSmith Deployment LangChain · checked Back:ab

  3. Source 3: Cloud (SaaS) LangChain · checked Back to text

  4. Source 4: LangSmith Plans and Pricing LangChain · checked Back:abc

  5. Source 5: No-code agents with LangSmith Fleet LangChain · checked Back:ab

  6. Source 6: Agent platform comparison LangChain · checked Back to text

  7. Source 7: LangSmith Deployment LangChain · checked Back:ab

  8. Source 8: Remote MCP servers LangChain · checked Back to text

  9. Source 9: Overview - Amazon Bedrock AgentCore (Developer Guide) AWS · checked Back:abc

  10. Source 10: Provide identity and credential management for agent applications with Amazon Bedrock AgentCore Identity AWS · checked Back to text

  11. Source 11: AWS Agent Registry: Discover and manage agents, tools, and resources AWS · checked Back:ab

  12. Source 12: HTTP passthrough targets - AgentCore Gateway AWS · checked Back to text

  13. Source 13: Sharing a registry across accounts with AWS RAM AWS · checked Back to text

  14. Source 14: Crew Studio CrewAI · checked Back to text

  15. Source 15: CrewAI AMP (platform docs introduction) CrewAI · checked Back:ab

  16. Source 16: Role-Based Access Control (RBAC) CrewAI · checked Back to text

  17. Source 17: Agent Repositories CrewAI · checked Back to text

  18. Source 18: Custom MCP Servers CrewAI · checked Back to text

  19. Source 19: A2A on AMP CrewAI · checked Back to text

  20. Source 20: Enable Crew Studio CrewAI · checked Back to text

  21. Source 21: Deploy other frameworks LangChain · checked Back:ab

  22. Source 22: Agent Platform overview Google · checked Back:ab

  23. Source 23: Agent Gateway overview Google · checked Back to text

  24. Source 24: Agent Identity overview Google · checked Back to text

  25. Source 25: Agent Registry overview Google · checked Back:ab

  26. Source 26: Gemini Enterprise Agent Platform (formerly Vertex AI) Google · checked Back to text

  27. Source 27: Set up Agent Registry Google · checked Back to text

  28. Source 28: Use manual registration Google · checked Back to text

  29. Source 29: AI Agent Builder | IBM watsonx Orchestrate IBM · checked Back to text

  30. Source 30: Welcome to IBM watsonx Orchestrate Agent Development Kit IBM · checked Back to text

  31. Source 31: Agent identity overview IBM · checked Back to text

  32. Source 32: AI Agent Control Plane | IBM watsonx Orchestrate IBM · checked Back to text

  33. Source 33: Partner A2A (Agent2Agent) agents IBM · checked Back to text

  34. Source 34: IBM watsonx Orchestrate IBM · checked Back to text

  35. Source 35: Overview - Agents (watsonx Orchestrate ADK docs) IBM · checked Back to text

  36. Source 36: Connect to external agents (watsonx Orchestrate ADK docs) IBM · checked Back to text

  37. Source 37: LangChain in n8n n8n · checked Back:ab

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

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

  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 to text

  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:abc

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

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

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  49. Source 49: Microsoft Agent 365 SDK overview | Microsoft Learn Microsoft · checked Back:ab

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

  51. Source 51: Agent Registry in Microsoft 365 admin center - Microsoft 365 admin | Microsoft Learn Microsoft · checked Back to text

  52. Source 52: Bring your own (BYO) MCP server in Microsoft 365 admin center - Microsoft 365 admin | Microsoft Learn Microsoft · checked Back to text

  53. Source 53: Microsoft Agent 365 - Service Descriptions | Microsoft Learn Microsoft · checked Back to text

  54. Source 54: Agent Registry convergence with Microsoft Agent 365 | Microsoft Learn Microsoft · checked Back to text

  55. Source 55: Agent Fabric Overview Salesforce · checked Back:ab

  56. Source 56: Get Started with Agent Fabric Salesforce · checked Back to text

  57. Source 57: Adding a Scanner for LangChain LangSmith Salesforce · checked Back to text

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  61. Source 61: ServiceNow product tiers (ServiceNow product documentation, Australia release) ServiceNow · checked Back to text

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  63. Source 63: About Workday Agents (Workday Administrator Guide) Workday · checked Back:ab

  64. Source 64: Concept: Workday Agent Gateway (Workday Administrator Guide) Workday · checked Back to text

  65. Source 65: Set Up Agent System of Record (Workday Administrator Guide) Workday · checked Back to text

  66. Source 66: Setup Considerations: Agent Security (Workday Administrator Guide) Workday · checked Back to text

  67. Source 67: Register External Agents (Workday Administrator Guide) Workday · checked Back to text

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  69. Source 69: AI Agents - Kong AI Gateway docs Kong · checked Back:ab

  70. Source 70: Agents in Catalog - Kong Docs Kong · checked Back to text

  71. Source 71: Kong AI Gateway product page Kong · checked Back to text

  72. Source 72: AI Gateway architecture - Kong Docs Kong · checked Back to text

  73. Source 73: Add AI agents manually (Okta Help Center) Okta · checked Back to text

  74. Source 74: Okta for AI Agents (product page) Okta · checked Back to text

  75. Source 75: Agent Gateway (Okta Help Center) Okta · checked Back to text

  76. Source 76: Okta brings first-class identity to AI agents with Agent SSO Okta · checked Back to text

  77. Source 77: Okta announces new innovations to secure AI agents at runtime and automate ongoing agent governance Okta · checked Back to text

  78. Source 78: AI agent resource connections (Okta Help Center) 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:ab

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

  84. Source 84: google/adk-python README (GitHub) github.com · checked Back to text

  85. Source 85: langchain-ai/langgraph README (GitHub) github.com · checked Back to text

  86. Source 86: Integrating with Model Context Protocol (MCP) - Keycloak keycloak.org · checked Back to text

  87. Source 87: Agent Discovery - A2A Protocol a2a-protocol.org · checked Back to text

  88. Source 88: Designing MCP Gateway Uber's MCP Management Platform - Uber Blog uber.com · checked Back to text

  89. Source 89: Enterprise Features - A2A Protocol a2a-protocol.org · checked Back to text

  90. Source 90: Agent2Agent (A2A) Protocol Specification a2a-protocol.org · checked Back to text

  91. Source 91: modelcontextprotocol/modelcontextprotocol LICENSE (GitHub) github.com · checked Back to text

  92. Source 92: Set up LangSmith LangChain · checked Back:ab

  93. Source 93: Manage agent settings LangChain · checked Back to text

  94. Source 94: Trace with OpenTelemetry LangChain · checked Back to text

  95. Source 95: A2A endpoint in Agent Server LangChain · checked Back to text

  96. Source 96: Network requirements Blocks.ai · checked Back to text

  97. Source 97: Solutions: Agent sprawl Blocks.ai · checked Back to text

  98. Source 98: Solutions: Partner networks Blocks.ai · checked Back to text