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Amazon Bedrock AgentCore vs LangSmith
Amazon Bedrock AgentCore
AWS platform for building, deploying, and operating AI agents
LangSmith
Platform for observing, evaluating, and deploying agents
Short answer
Amazon Bedrock AgentCore is AWS’s set of modular services for building, deploying, and operating agents; LangChain describes LangSmith as its platform for observing, evaluating, and deploying them.Source 1, Source 2, Source 3, Source 4 AgentCore is a managed service in AWS Regions; LangSmith Cloud deploys agents on Plus or above, and Enterprise adds BYOC, self-hosted, or hybrid options.Source 1, Source 2, Source 3, Source 5, Source 6, Source 7, Source 8
Where each one sits
Six layers of running AI agents at a company, and what each product’s own public sources say it covers.
Amazon Bedrock AgentCore
LangSmith
- Agents across organizations: Not publicly documented
At a glance
What each one is
Amazon Bedrock AgentCore
Amazon Bedrock AgentCore is AWS’s platform for building, deploying, and operating agents with any framework and model.Source 2 Its modular services, usable together or independently, include a serverless Runtime, Gateway with Policy, Identity, Observability, and AWS Agent Registry.Source 2, Source 9, Source 10, Source 29, Source 30
LangSmith
LangChain describes LangSmith as a framework-agnostic platform for observing, evaluating, and deploying agents.Source 4 LangSmith Deployment runs agents in production, and LangSmith Fleet creates and manages agents without code; LangChain pitches Fleet to non-technical teams.Source 3, Source 4, Source 13 Agents hosted elsewhere can send it traces.Source 6
The differences that matter
Where the platform runs
Amazon Bedrock AgentCoreAgentCore is a managed service in AWS Regions, with no infrastructure for you to manage.Source 1, Source 2 A self-hosted edition is not publicly documented.
LangSmithLangSmith runs in LangChain’s cloud on GCP or AWS, or, on Enterprise, as BYOC on AWS or self-hosted or hybrid.Source 5, Source 6, Source 7, Source 8
AgentCore Memory, Policy, and Evaluations keep data in the primary Region; cross-region inference may move prompts and results out.Source 31 LangSmith Cloud stores the services it lists in your sign-up region.Source 5
Controlling agents and access
Amazon Bedrock AgentCorePolicy in AgentCore can check each request through a Gateway against policies, written in natural language or Cedar, before allowing tool access.Source 29
LangSmithFleet agents can be set to pause for approval before specific actions, and per-agent permissions set who can clone, run, or edit each one.Source 14, Source 32
Policy covers traffic through an AgentCore Gateway.Source 29 On LangSmith Deployment, authorization is handled by auth handlers the developer writes.Source 22
Building agents
Amazon Bedrock AgentCoreThe managed harness defines an agent from a model, system prompt, and tools; teams can also write the loop in Python, for example with LangGraph.Source 2, Source 33
LangSmithFleet builds agents without code, from a description or template, which LangChain pitches to non-technical teams; code-first agents can be deployed with the LangGraph CLI.Source 3, Source 4, Source 13
The models behind Fleet’s three managed tiers may change over time.Source 34 AgentCore’s harness works with Amazon Bedrock, OpenAI, Google Gemini, and OpenAI-compatible providers.Source 2
For security teams
What a security review asks, answered from each vendor’s public documentation.
Full comparison
18 criteria in five groups. Every cell links to its source, or says no public source answers it.
| Amazon Bedrock AgentCore | LangSmith | |
|---|---|---|
| What it is | ||
| What it is and who it’s for | AWS platform for building, deploying, and operating agents with any framework and model, for taking agents from proof of concept to production.Source 1, Source 2 | LangChain calls it a framework-agnostic platform for observing, evaluating, and deploying agents.Source 4 Deployment runs agents; Fleet is for no-code agents.Source 3, Source 13 |
| Maturity | Generally available since October 2025.Source 17 AWS Agent Registry entered preview in April 2026 and became generally available in August 2026.Source 17 | LangChain announced LangGraph Platform, now Deployment, as GA on 14 May 2025.Source 15, Source 26 It announced Agent Builder, now Fleet, as GA on 13 January 2026.Source 27, Source 28 |
| Control | ||
| Agent registry and discovery | AWS Agent Registry catalogs agents, MCP servers, tools, and skills, on AWS or elsewhere, behind an approval workflow.Source 2, Source 10 Consumers see only approved records.Source 49 | LangChain says Deployment manages agents through a centralized registry with versioning.Source 15, Source 50 Listing agents hosted elsewhere is not publicly documented. |
| Identity and access control | Workload identities in AgentCore Identity.Source 9 Runtime calls use IAM SigV4 by default or JWTs from any OAuth 2.0 identity provider.Source 20, Source 21 | API keys or your own auth handlers on Agent Server.Source 22 Fleet agents can use fixed or the user’s credentials.Source 51 Enterprise adds RBAC, plus SAML SSO on Cloud.Source 23, Source 24 |
| Ownership, policy, and revocation | Gateway policies limit an agent’s tools.Source 29 Approval workflows and curator deprecation control registry discovery.Source 10, Source 43 An owner field is not publicly documented. | Fleet shows each agent’s owner, has per-agent Clone, Run, and Edit permissions revocable at any time, and supports spend limits.Source 14, Source 28, Source 32, Source 52 |
| Audit log and observability | CloudTrail can log Gateway calls (data events are off by default) and logs Registry control-plane calls.Source 41, Source 42, Source 43 Policy logs decisions.Source 29 | Enterprise audit logs, kept up to 400 days.Source 44 Each deployment gets a tracing project; Fleet traces include tool calls and outputs.Source 32, Source 37 |
| Connection | ||
| How agents connect | Gateway can front agents and MCP servers hosted elsewhere at an endpoint URL.Source 11 Private VPC connectivity and PrivateLink are supported.Source 35, Source 36 | Agent Server offers A2A and MCP endpoints.Source 53, Source 54 On self-hosted LangSmith with Deployment, agents run behind an ingress you configure.Source 55 Enterprise can use PrivateLink.Source 5 |
| Agents across organizations | A registry can be shared with other AWS accounts through AWS RAM; Runtime agents can be opened to other accounts with resource-based policies.Source 12, Source 39 | Fleet can share agents with users or your workspace; Agent Server agents can talk to A2A agents.Source 32, Source 53 A cross-organization access model is not publicly documented. |
| Protocol support | Runtime agents can serve HTTP, MCP, A2A, or AG-UI.Source 56 Gateway acts as one MCP server over its MCP targets.Source 57 Registry validates MCP and A2A records.Source 43 | Agent Server supports A2A, with documented gaps, over JSON-RPC.Source 53 It can expose agents as MCP tools; Fleet uses remote MCP servers.Source 16, Source 54 |
| Frameworks, models, and clouds supported | Runtime works with LangGraph, CrewAI, LlamaIndex, Google ADK, OpenAI Agents SDK, Strands Agents, or custom frameworks, and any model.Source 2 | Deployment runs Google ADK, Claude Agent SDK, Strands, CrewAI, and AutoGen agents via a wrapper package or the LangGraph Functional API.Source 58 |
| Operations | ||
| Deployment options and data residency | AWS says cross-region inference can move Memory, Policy, and Evaluations prompts out of the primary Region; AgentCore may store content to improve your service.Source 2, Source 31 | Cloud on GCP (US, EU, APAC) or AWS (US).Source 5 On Enterprise: BYOC on AWS, or self-hosted or hybrid.Source 6, Source 7, Source 8 |
| Compliance attestations | AWS lists AgentCore as FedRAMP (Class C and Class D) compliant.Source 45, Source 46 It is HIPAA eligible, and SOC 2, ISO 27001:2022, and CSA STAR compliant.Source 17, Source 45 | LangChain’s Trust Center lists SOC 2 Type II, ISO 27001:2022, GDPR, and HIPAA.Source 47 LangChain says its SOC 2 Type II report spans the entire LangSmith offering.Source 47 |
| Support and SLA | AWS says the Amazon Bedrock SLA applies to AgentCore.Source 1 Basic Support is included for all AWS customers.Source 59 | Base, Standard, and Premium support plans.Source 60 Reasonable commercial efforts toward 99.5% API uptime for SaaS, measured quarterly.Source 60 |
| Time and effort to get running | An AWS account with credentials and IAM permissions.Source 33 AWS says its CLI quickstart reaches a running agent in a few minutes.Source 33 | Cloud deployment needs Plus or above and an API key; LangChain says you can start in minutes.Source 15, Source 61 Self-hosting the control plane needs Kubernetes and Enterprise.Source 3 |
| Pricing model and public prices | Consumption-based per service, no minimum fees.Source 25 Registry has a monthly free tier; Runtime v1 CPU is $0.0895 per vCPU-hour.Source 25 | Developer: one free seat; Plus: $39 per seat a month; Enterprise: sales.Source 8 Usage is metered in LSUs, $1 each.Source 8 Plus includes a free small serverless deployment.Source 8 |
| Building | ||
| Agent building tools | A managed harness takes a model, system prompt, and tools; or you write the loop in Python with a framework such as Strands, LangGraph, or Google ADK.Source 2, Source 33 | Fleet builds no-code agents from a description or template.Source 13 Code-first agents can be deployed with the LangGraph CLI and app templates.Source 3 |
| Model access | AWS calls AgentCore model-agnostic, naming OpenAI, Gemini, Claude, Nova, Llama, and Mistral models, in or outside Amazon Bedrock.Source 1 | LangChain says LangSmith works with closed or open models.Source 4 Fleet’s managed picker has three tiers (Fast, Pro, Max), not custom models.Source 34 |
| Integrations and ecosystem | Gateway has 1-click integrations such as Salesforce, Slack, Jira, Asana, and Zendesk, and can import AWS Partner tools bought in AWS Marketplace.Source 1, Source 62 | Fleet has built-in tools like Gmail and GitHub.Source 34 LangChain says Fleet agents work in Slack, Teams, and Gmail.Source 63 Tracing works with OpenAI, Anthropic, and more.Source 64 |
Which to choose
Choose Amazon Bedrock AgentCore if
- You want agents in AWS’s serverless runtime, where calls use IAM by default, built with LangGraph, CrewAI, Strands Agents, or others.Source 2, Source 20
- You want each request through a gateway checked against policies, written in natural language or Cedar, before tool access.Source 29
- You want an approved catalog of agents and MCP servers, including ones on premises or in other clouds, shareable across AWS accounts.Source 2, Source 10, Source 12
- You need agents in AWS GovCloud (US-West), where AgentCore is generally available.Source 17
Choose LangSmith if
- You need LangSmith’s control plane and Agent Servers in your own infrastructure, for full data residency or air-gapped use, on Enterprise.Source 3
- Non-technical teams should build agents without code, from a description or template; LangChain says Fleet agents work in Slack, Teams, and Gmail.Source 13, Source 63
- You want to trace agents wherever they run, from any OpenTelemetry-compatible app or through integrations such as OpenAI, Anthropic, and CrewAI.Source 6, Source 64, Source 65
- You want Fleet’s per-agent Clone, Run, and Edit permissions, and human approval before specific agent actions.Source 14, Source 32
Questions buyers ask
Can Amazon Bedrock AgentCore run LangGraph agents?
How is each one priced?
Do they support MCP and A2A?
Agents on AgentCore Runtime can serve MCP or A2A, Gateway acts as an MCP server, and the registry validates MCP and A2A records.Source 43, Source 56, Source 57 LangSmith’s Agent Server supports A2A, with documented gaps, and can expose agents as MCP tools; Fleet uses remote MCP servers.Source 16, Source 53, Source 54
Can either one connect agents across organizations?
An AWS Agent Registry can be shared with other AWS accounts through AWS RAM; accounts outside the owner’s AWS Organization must accept an invitation.Source 12 Agents on LangSmith’s Agent Server can talk to other A2A-compatible agents, but a cross-organization access model is not publicly documented.Source 53
How we compare
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Sources
72 public sources, each with the date we checked it. Every one opens in a new tab.
Source 2: Overview - Amazon Bedrock AgentCore (Developer Guide) Back:abcdefghijklmnopqr
Source 4: LangSmith: The Agent Engineering Platform Back:abcdef
Source 9: Provide identity and credential management for agent applications with Amazon Bedrock AgentCore Identity Back:abcde
Source 10: AWS Agent Registry: Discover and manage agents, tools, and resources Back:abcde
Source 11: HTTP passthrough targets - AgentCore Gateway Back:ab
Source 12: Sharing a registry across accounts with AWS RAM Back:abcde
Source 17: Release notes - Amazon Bedrock AgentCore Back:abcdef
Source 19: Add observability to your Amazon Bedrock AgentCore resources Back to text
Source 20: Authenticate and authorize with Inbound Auth and Outbound Auth Back:abc
Source 26: LangGraph Platform is now Generally Available: Deploy & manage long-running, stateful Agents Back:ab
Source 29: Policy in Amazon Bedrock AgentCore: Control Agent Interactions Back:abcdefg
Source 30: Observe your agent applications on Amazon Bedrock AgentCore Observability Back to text
Source 31: Cross-region inference in AgentCore Memory, Policy in AgentCore, and AgentCore Evaluations Back:ab
Source 33: Get started with Amazon Bedrock AgentCore Back:abcd
Source 34: Essentials Back:abc
Source 35: Use interface VPC endpoints (AWS PrivateLink) with Amazon Bedrock AgentCore Back:ab
Source 36: Connect to private resources in your VPC using VPC Lattice Back:ab
Source 38: Overview of Amazon Bedrock AgentCore Identity Back to text
Source 39: Resource-based policies for Amazon Bedrock AgentCore Back:ab
Source 41: Log Amazon Bedrock AgentCore Gateway API calls with CloudTrail Back:ab
Source 42: Enable CloudTrail data event logging for Amazon Bedrock AgentCore Gateway resources - Amazon Bedrock AgentCore Back:ab
Source 44: Audit logs Back:ab
Source 45: Compliance validation for Amazon Bedrock AgentCore Back:abc
Source 46: Federal Risk and Authorization Management Program (FedRAMP) - Services in Scope - Amazon Web Services Back:ab
Source 48: LangSmith shared responsibility model Back to text
Source 49: Concepts and terminology - AWS Agent Registry Back to text
Source 55: Enable additional LangSmith features Back to text
Source 56: Understand the AgentCore Runtime service contract Back:ab
Source 57: Supported targets for Amazon Bedrock AgentCore gateways Back:ab
Source 62: Amazon Bedrock AgentCore Gateway: A secure AI gateway for agents, tools, and models Back to text