# Dynamiq vs LangGraph and LangSmith

URL: https://www.getdynamiq.ai/compare/langgraph

> LangGraph is an MIT licensed agent framework, and LangSmith is LangChain's agent engineering platform. Dynamiq adds voice agents and a deployment team.

LangGraph is an open-source orchestration framework, and LangSmith is LangChain's commercial platform for tracing, evals, deployment and no-code agents. Dynamiq is one governed platform, including voice agents.

By Oleksii Babych, Machine learning engineer Updated September 29, 2026

[Start free](https://app.getdynamiq.ai/signup) · [Talk to the team](https://www.getdynamiq.ai/book-a-demo)

In short

LangGraph is an MIT licensed, code-first framework and runtime for stateful agents, and LangSmith is LangChain's agent engineering platform around it: observability, evaluation, deployment, the no-code Fleet agent builder, sandboxes, an LLM gateway in beta, and Engine, which finds agent failures and proposes fixes, billed by seats, traces and compute units. Dynamiq is a governed platform for chat, voice and workflow agents with an Apache-2.0 SDK, built-in evals and observability, and forward-deployed engineers. Developers who want maximum low-level control and framework-agnostic observability fit LangGraph and LangSmith; teams that want one platform including voice agents, deployed inside their environment with a delivery team, fit Dynamiq.

## Side by side

Facts checked September 29, 2026. Sources below.

| Dimension | Dynamiq | LangGraph and LangSmith |
| --- | --- | --- |
| Best for | Enterprises in regulated industries that need chat, voice and workflow agents on one governed stack, deployed inside their own environment. | Python and JavaScript developers who want low-level control over stateful agents (single, multi-agent or hierarchical), with LangSmith for observability, evals and deployment across any framework. |
| Deployment options | Dynamiq Cloud, or self-hosted on your AWS, Azure, GCP, IBM Cloud, Red Hat OpenShift or any Kubernetes 1.32+ cluster, or on-prem. Fully isolated or air-gapped setups are delivered with our engineers. | LangGraph runs wherever your code runs. LangSmith is a managed cloud with US, EU and APAC regions, with hybrid, bring-your-own-cloud and self-hosted options on its Enterprise plan; a standalone Agent Server needs a license key. |
| Self-hosted or on-prem | Yes. Self-hosted on your cloud or on-prem, or Dynamiq Cloud; both run the same engine. | Yes for the LangGraph library. Self-hosted LangSmith is an add-on to the Enterprise plan, per LangChain's docs. |
| License and source code | The Python SDK is open source under Apache-2.0 (github.com/dynamiq-ai/dynamiq), and the visual canvas runs on the same engine. The platform around it is not open source. | LangGraph, LangChain and the LangSmith SDKs are MIT licensed. The langgraph-api server package is under the Elastic License 2.0, and the LangSmith platform is a commercial product that self-hosts under a license key. |
| Model choice | 29 model providers in the SDK, the most-used models behind one OpenAI-compatible AI Gateway endpoint, plus open models served on vLLM and LoRA fine-tuning. | Any provider LangChain integrates with (1,000+ integrations), called in code; LangSmith adds an LLM Gateway, in beta, for one key across providers with fallbacks, cost controls and PII redaction. |
| Agent types (chat, voice, workflow) | Chat, inbound voice and workflow agents on one engine. AI Coworker works with its own cloud sandbox computer, in the browser, Slack, Microsoft Teams and Telegram; Voice Agents answer inbound calls; Agent Builder runs workflow agents. | A framework for custom agents, plus LangSmith Fleet, a no-code builder for agents used in chat or in tools such as Slack. No packaged voice agent product, though LangChain's docs include a voice agent tutorial. |
| Developer surface | Agent Builder pairs a visual canvas with the open-source Python SDK on one engine, with Choice and rules nodes, workflows generated from a prompt, and versions with rollback. | Code-first primitives for agent graphs in Python and JavaScript with native token streaming, LangSmith SDKs in Python, TypeScript, Go and Java, the Studio agent IDE, a CLI, and MCP and A2A endpoints on Agent Server. |
| Memory | Session memory scoped by user and session, plus long-term memory, where the agent decides when to save and recall durable, user-scoped facts that people can see and correct. Knowledge adds ingestion pipelines, permission-aware retrieval filters and knowledge graphs. | LangGraph's built-in memory stores conversation histories and keeps context across sessions, per LangChain's site. |
| Governance (guardrails, approvals, SSO) | Guardrails that detect PII and prompt injection, policy detection, validators and approvals with editable fields on any tool step, on every plan; SSO (OIDC with Okta and Microsoft Entra ID) on Enterprise. | Human-in-the-loop checks to steer and approve agent actions, and PII middleware in the framework; LangSmith Enterprise adds SAML SSO, SCIM, RBAC, ABAC and audit logs. |
| Evals and observability | Evals with datasets built from traces, LLM-as-a-judge, predefined and code metrics, and real-time evaluations on live deployments; traces with cost and latency per node, monitoring, and an AI agent that surfaces issues from production traces. | LangSmith tracing, offline and online evals, dashboards and alerts, OpenTelemetry support, and Engine, which finds agent failures, diagnoses root causes and proposes fixes with eval coverage. |
| Compliance | SOC 2 and CASA Tier 2, with a BAA for HIPAA workloads and a DPA under GDPR. | SOC 2, GDPR and HIPAA, with annual third-party audits and penetration testing, per LangSmith's shared responsibility model. |
| Delivery help (engineers) | Forward-deployed engineers run a bootcamp in your environment, ship the first production agent with your team, then hand over. | Enterprise support includes team trainings, architectural guidance and access to deployed engineers, per LangChain's pricing page. |
| Pricing model | Free to start ($0), and Enterprise with custom pricing. Available on AWS Marketplace, Microsoft Azure Marketplace and IBM Marketplace. | LangSmith Developer is free (1 seat, up to 5,000 base traces a month), Plus is $39 a seat a month (up to 10,000 base traces), and Enterprise is custom; extra traces and storage bill in storage units ($1.00 each), and deployments, Fleet, Engine and sandboxes in compute units ($1.50 each). LangGraph itself is free. |

Best for

Dynamiq · Enterprises in regulated industries that need chat, voice and workflow agents on one governed stack, deployed inside their own environment.

LangGraph and LangSmith · Python and JavaScript developers who want low-level control over stateful agents (single, multi-agent or hierarchical), with LangSmith for observability, evals and deployment across any framework.

Deployment options

Dynamiq · Dynamiq Cloud, or self-hosted on your AWS, Azure, GCP, IBM Cloud, Red Hat OpenShift or any Kubernetes 1.32+ cluster, or on-prem. Fully isolated or air-gapped setups are delivered with our engineers.

LangGraph and LangSmith · LangGraph runs wherever your code runs. LangSmith is a managed cloud with US, EU and APAC regions, with hybrid, bring-your-own-cloud and self-hosted options on its Enterprise plan; a standalone Agent Server needs a license key.

Self-hosted or on-prem

Dynamiq · Yes. Self-hosted on your cloud or on-prem, or Dynamiq Cloud; both run the same engine.

LangGraph and LangSmith · Yes for the LangGraph library. Self-hosted LangSmith is an add-on to the Enterprise plan, per LangChain's docs.

License and source code

Dynamiq · The Python SDK is open source under Apache-2.0 (github.com/dynamiq-ai/dynamiq), and the visual canvas runs on the same engine. The platform around it is not open source.

LangGraph and LangSmith · LangGraph, LangChain and the LangSmith SDKs are MIT licensed. The langgraph-api server package is under the Elastic License 2.0, and the LangSmith platform is a commercial product that self-hosts under a license key.

Model choice

Dynamiq · 29 model providers in the SDK, the most-used models behind one OpenAI-compatible AI Gateway endpoint, plus open models served on vLLM and LoRA fine-tuning.

LangGraph and LangSmith · Any provider LangChain integrates with (1,000+ integrations), called in code; LangSmith adds an LLM Gateway, in beta, for one key across providers with fallbacks, cost controls and PII redaction.

Agent types (chat, voice, workflow)

Dynamiq · Chat, inbound voice and workflow agents on one engine. AI Coworker works with its own cloud sandbox computer, in the browser, Slack, Microsoft Teams and Telegram; Voice Agents answer inbound calls; Agent Builder runs workflow agents.

LangGraph and LangSmith · A framework for custom agents, plus LangSmith Fleet, a no-code builder for agents used in chat or in tools such as Slack. No packaged voice agent product, though LangChain's docs include a voice agent tutorial.

Developer surface

Dynamiq · Agent Builder pairs a visual canvas with the open-source Python SDK on one engine, with Choice and rules nodes, workflows generated from a prompt, and versions with rollback.

LangGraph and LangSmith · Code-first primitives for agent graphs in Python and JavaScript with native token streaming, LangSmith SDKs in Python, TypeScript, Go and Java, the Studio agent IDE, a CLI, and MCP and A2A endpoints on Agent Server.

Memory

Dynamiq · Session memory scoped by user and session, plus long-term memory, where the agent decides when to save and recall durable, user-scoped facts that people can see and correct. Knowledge adds ingestion pipelines, permission-aware retrieval filters and knowledge graphs.

LangGraph and LangSmith · LangGraph's built-in memory stores conversation histories and keeps context across sessions, per LangChain's site.

Governance (guardrails, approvals, SSO)

Dynamiq · Guardrails that detect PII and prompt injection, policy detection, validators and approvals with editable fields on any tool step, on every plan; SSO (OIDC with Okta and Microsoft Entra ID) on Enterprise.

LangGraph and LangSmith · Human-in-the-loop checks to steer and approve agent actions, and PII middleware in the framework; LangSmith Enterprise adds SAML SSO, SCIM, RBAC, ABAC and audit logs.

Evals and observability

Dynamiq · Evals with datasets built from traces, LLM-as-a-judge, predefined and code metrics, and real-time evaluations on live deployments; traces with cost and latency per node, monitoring, and an AI agent that surfaces issues from production traces.

LangGraph and LangSmith · LangSmith tracing, offline and online evals, dashboards and alerts, OpenTelemetry support, and Engine, which finds agent failures, diagnoses root causes and proposes fixes with eval coverage.

Compliance

Dynamiq · SOC 2 and CASA Tier 2, with a BAA for HIPAA workloads and a DPA under GDPR.

LangGraph and LangSmith · SOC 2, GDPR and HIPAA, with annual third-party audits and penetration testing, per LangSmith's shared responsibility model.

Delivery help (engineers)

Dynamiq · Forward-deployed engineers run a bootcamp in your environment, ship the first production agent with your team, then hand over.

LangGraph and LangSmith · Enterprise support includes team trainings, architectural guidance and access to deployed engineers, per LangChain's pricing page.

Pricing model

Dynamiq · Free to start ($0), and Enterprise with custom pricing. Available on AWS Marketplace, Microsoft Azure Marketplace and IBM Marketplace.

LangGraph and LangSmith · LangSmith Developer is free (1 seat, up to 5,000 base traces a month), Plus is $39 a seat a month (up to 10,000 base traces), and Enterprise is custom; extra traces and storage bill in storage units ($1.00 each), and deployments, Fleet, Engine and sandboxes in compute units ($1.50 each). LangGraph itself is free.

## Choose Dynamiq when

-   One governed platform for chat, voice and workflow agents, instead of a framework plus a separate platform billed by seats, traces and compute units.
-   Voice Agents answer inbound calls on the same engine as chat and workflow agents, with per-turn latency measurement and LLM-judged simulations.
-   Runs inside your environment: Dynamiq Cloud, or self-hosted on your AWS, Azure, GCP, IBM Cloud, OpenShift or any Kubernetes 1.32+ cluster, or on-prem, with isolated setups delivered with our engineers.
-   A defined engagement: forward-deployed engineers run a bootcamp in your environment, ship the first production agent with your team, then hand over.

## Choose LangGraph and LangSmith when

-   Maximum low-level control over agent orchestration for developers who want to write custom graphs in Python or JavaScript.
-   A very large open-source ecosystem, with 350M+ monthly open-source downloads reported on LangChain's homepage, and observability that works across frameworks, not only LangGraph.
-   A free LangSmith tier to start, with Engine to find failures, Fleet for no-code agents, and hybrid or self-hosted deployment on Enterprise.

## Moving from LangGraph and LangSmith

Graphs, nodes and edges built with LangGraph are rebuilt as agents and workflows in Dynamiq's Agent Builder, on the canvas or in the Python SDK, keeping the same prompts, tools and control flow as the blueprint. Tools called from graph nodes reconnect as Dynamiq integrations or MCP servers, LangSmith datasets and evaluators move to Dynamiq evals, and tracing moves to Dynamiq observability. Memory maps to Dynamiq session and long-term memory, and knowledge sources are re-ingested into Dynamiq Knowledge.

## Questions and answers

### Does Dynamiq replace both LangGraph and LangSmith?

It covers the core of both: Dynamiq's Agent Builder and Python SDK handle agent orchestration, and its built-in evals and observability handle tracing and evaluation, on one platform. LangSmith also sells products such as Fleet, sandboxes and an LLM gateway, so compare the pieces you use.

### Is LangGraph open source?

Yes. LangGraph is open source under the MIT license, per its GitHub repository. The langgraph-api server package is under the Elastic License 2.0, and the LangSmith platform is a commercial product whose self-hosted version needs a license key.

### Does LangGraph or LangSmith include a voice agent product?

No. LangChain's docs include a tutorial for building a voice agent, but neither LangGraph nor LangSmith ships a voice agent product. Dynamiq includes Voice Agents for inbound calls on the same platform.

### How is LangSmith priced compared with Dynamiq?

LangSmith bills by seat with base traces included per plan, plus storage units for extra traces and compute units for deployments, Fleet, Engine and sandboxes, per LangChain's pricing page. Dynamiq offers a free plan to start and custom Enterprise pricing.

## Sources

1.  [LangChain homepage](https://www.langchain.com/)
2.  [LangGraph overview](https://www.langchain.com/langgraph)
3.  [LangSmith observability](https://www.langchain.com/langsmith)
4.  [LangChain and LangSmith pricing](https://www.langchain.com/pricing)
5.  [LangGraph overview (docs)](https://docs.langchain.com/oss/python/langgraph/overview)
6.  [LangSmith deployment options (docs)](https://docs.langchain.com/langsmith/deployment)
7.  [Self-hosted LangSmith (docs)](https://docs.langchain.com/langsmith/self-hosted)
8.  [LangSmith Cloud regions (docs)](https://docs.langchain.com/langsmith/cloud)
9.  [LangSmith Fleet (docs)](https://docs.langchain.com/langsmith/fleet)
10.  [LangSmith LLM Gateway (docs)](https://docs.langchain.com/langsmith/llm-gateway)
11.  [LangSmith user management and SSO (docs)](https://docs.langchain.com/langsmith/user-management)
12.  [LangSmith shared responsibility model (docs)](https://docs.langchain.com/langsmith/shared-responsibility-model)
13.  [Build a voice agent with LangChain (docs)](https://docs.langchain.com/oss/python/langchain/voice-agent)
14.  [LangGraph GitHub license (MIT)](https://github.com/langchain-ai/langgraph/blob/main/LICENSE)
15.  [langgraph-api on PyPI (Elastic License 2.0)](https://pypi.org/project/langgraph-api/)

## More comparisons

-   [Dynamiq vs Amazon Bedrock AgentCore](https://www.getdynamiq.ai/compare/amazon-bedrock-agentcore)
-   [Dynamiq vs Microsoft Copilot Studio](https://www.getdynamiq.ai/compare/microsoft-copilot-studio)
-   [Dynamiq vs CrewAI](https://www.getdynamiq.ai/compare/crewai)
-   [All comparisons](https://www.getdynamiq.ai/compare)

## See how Dynamiq compares on your use case.

Bring your requirements. Our engineers will show you the differences that matter for your environment.

[Start free](https://app.getdynamiq.ai/signup) · [Talk to the team](https://www.getdynamiq.ai/book-a-demo)