# Dynamiq vs CrewAI

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

> CrewAI pairs an MIT licensed multi-agent framework with its AMP platform. Dynamiq adds voice agents, built-in evals and engineers who ship with your team.

CrewAI pairs an open-source, multi-agent framework with CrewAI AMP, its platform for building and running agents. Dynamiq is one governed platform, including voice agents and engineers.

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

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In short

CrewAI is an MIT licensed framework for multi-agent crews and flows, plus CrewAI AMP, a commercial platform with a no-code Studio, tracing, governance and deployment on CrewAI's cloud, your VPC or your own infrastructure through CrewAI Factory; forward-deployed engineering is sold a la carte. Dynamiq is a governed platform for chat, voice and workflow agents with an Apache-2.0 SDK, built-in evals including real-time evaluations, and forward-deployed engineers who ship the first production agent with your team. Developers who want a popular multi-agent framework with a managed layer fit CrewAI; teams that need voice agents, built-in evals or a defined deployment engagement fit Dynamiq.

## Side by side

Facts checked September 29, 2026. Sources below.

| Dimension | Dynamiq | CrewAI |
| --- | --- | --- |
| Best for | Enterprises in regulated industries that need chat, voice and workflow agents on one governed stack, deployed inside their own environment. | Business and technical teams that build multi-agent crews and flows, with platform teams governing them in CrewAI AMP. |
| 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. | The open-source framework runs wherever Python runs. CrewAI AMP deploys on CrewAI's cloud, your VPC or your own infrastructure through CrewAI Factory, on Kubernetes such as EKS, AKS, GKE or Red Hat OpenShift. |
| Self-hosted or on-prem | Yes. Self-hosted on your cloud or on-prem, or Dynamiq Cloud; both run the same engine. | Yes. The MIT framework runs in your environment, and CrewAI Factory self-hosts the AMP platform in a data center or VPC. |
| 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. | The crewAI framework is open source under the MIT license, per its GitHub repository; CrewAI AMP is a commercial platform with a free Basic tier. |
| 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. | Providers documented on its LLMs page include OpenAI, Anthropic, Google, Azure, AWS Bedrock, Mistral, NVIDIA, Groq, IBM watsonx.ai and Ollama, through each provider's native SDK. |
| 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. | Multi-agent crews and event-driven flows, conversational flows for multi-turn chat, and workflow chat in a web UI, Slack or Teams; no voice agent product is described. |
| 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. | A code-first Python framework (crews, agents, tasks and flows, in code or YAML) with a CLI, plus Crew Studio, a no-code visual editor on the free plan that exports to Python, and exports as MCP servers or UI components. |
| 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. | Memory and knowledge are built into the framework, alongside guardrails and observability, per CrewAI's docs. |
| 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. | Guardrails and human-in-the-loop approval gates in the framework; AMP Enterprise adds SSO with Microsoft Entra ID, Okta and other providers over SAML or OIDC, RBAC with custom roles, immutable audit trails, PII redaction and a hallucination guardrail. |
| 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. | Real-time tracing of LLM calls, tool calls and memory reads with cost accounting, OpenTelemetry export, crewai test and eval commands, and evaluation through partners such as Arize, Galileo, Datadog and Patronus. |
| Integrations | 2,100+ app integrations and 11,800+ actions, plus MCP servers and per-user connections. | Crew Studio connects to more than 1,000 applications, and the framework ships hundreds of open-source tools with MCP support. |
| Compliance | SOC 2 and CASA Tier 2, with a BAA for HIPAA workloads and a DPA under GDPR. | CrewAI cites a SOC 2 report and a HIPAA Security Rule gap assessment, per a May 2025 post on its blog. |
| Delivery help (engineers) | Forward-deployed engineers run a bootcamp in your environment, ship the first production agent with your team, then hand over. | Forward-deployed engineering and training are available a la carte, and Enterprise includes a 45-day onboarding with support for deployment and development, per CrewAI's pricing page. |
| Pricing model | Free to start ($0), and Enterprise with custom pricing. Available on AWS Marketplace, Microsoft Azure Marketplace and IBM Marketplace. | A free Basic plan with 50 workflow executions a month and the Studio editor, and custom Enterprise pricing sized to your workflows, per CrewAI's pricing page. |

Best for

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

CrewAI · Business and technical teams that build multi-agent crews and flows, with platform teams governing them in CrewAI AMP.

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.

CrewAI · The open-source framework runs wherever Python runs. CrewAI AMP deploys on CrewAI's cloud, your VPC or your own infrastructure through CrewAI Factory, on Kubernetes such as EKS, AKS, GKE or Red Hat OpenShift.

Self-hosted or on-prem

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

CrewAI · Yes. The MIT framework runs in your environment, and CrewAI Factory self-hosts the AMP platform in a data center or VPC.

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.

CrewAI · The crewAI framework is open source under the MIT license, per its GitHub repository; CrewAI AMP is a commercial platform with a free Basic tier.

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.

CrewAI · Providers documented on its LLMs page include OpenAI, Anthropic, Google, Azure, AWS Bedrock, Mistral, NVIDIA, Groq, IBM watsonx.ai and Ollama, through each provider's native SDK.

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.

CrewAI · Multi-agent crews and event-driven flows, conversational flows for multi-turn chat, and workflow chat in a web UI, Slack or Teams; no voice agent product is described.

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.

CrewAI · A code-first Python framework (crews, agents, tasks and flows, in code or YAML) with a CLI, plus Crew Studio, a no-code visual editor on the free plan that exports to Python, and exports as MCP servers or UI components.

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.

CrewAI · Memory and knowledge are built into the framework, alongside guardrails and observability, per CrewAI's docs.

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.

CrewAI · Guardrails and human-in-the-loop approval gates in the framework; AMP Enterprise adds SSO with Microsoft Entra ID, Okta and other providers over SAML or OIDC, RBAC with custom roles, immutable audit trails, PII redaction and a hallucination guardrail.

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.

CrewAI · Real-time tracing of LLM calls, tool calls and memory reads with cost accounting, OpenTelemetry export, crewai test and eval commands, and evaluation through partners such as Arize, Galileo, Datadog and Patronus.

Integrations

Dynamiq · 2,100+ app integrations and 11,800+ actions, plus MCP servers and per-user connections.

CrewAI · Crew Studio connects to more than 1,000 applications, and the framework ships hundreds of open-source tools with MCP support.

Compliance

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

CrewAI · CrewAI cites a SOC 2 report and a HIPAA Security Rule gap assessment, per a May 2025 post on its blog.

Delivery help (engineers)

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

CrewAI · Forward-deployed engineering and training are available a la carte, and Enterprise includes a 45-day onboarding with support for deployment and development, per CrewAI'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.

CrewAI · A free Basic plan with 50 workflow executions a month and the Studio editor, and custom Enterprise pricing sized to your workflows, per CrewAI's pricing page.

## Choose Dynamiq when

-   Voice Agents answer inbound calls on the same engine as chat and workflow agents, with per-turn latency measurement and LLM-judged simulations.
-   Built-in evals rather than partner add-ons: datasets from traces, LLM-as-a-judge, predefined and code metrics, and real-time evaluations on live deployments.
-   AI Coworker works with its own cloud sandbox in the browser, Slack, Microsoft Teams and Telegram, next to the workflows you build.
-   Forward-deployed engineers are part of the engagement: a bootcamp in your environment, the first production agent shipped with your team, then a handover.

## Choose CrewAI when

-   A widely adopted open-source multi-agent framework, with 450M+ agentic workflows a month reported on CrewAI's homepage.
-   A simple role-based abstraction, crews of agents with tasks, plus a free no-code Studio that exports to Python.
-   Self-hosting through CrewAI Factory on Kubernetes, including Red Hat OpenShift, with forward-deployed engineering bought a la carte when you want it.

## Moving from CrewAI

Crews, agents, tasks and flows defined in CrewAI's Python framework, in code or YAML, are rebuilt as agents and workflows in Dynamiq's Agent Builder, on the canvas or in the Python SDK, keeping each agent's role, goal and instructions. Tools attached to CrewAI agents reconnect as Dynamiq integrations or MCP servers, knowledge sources move to Dynamiq Knowledge, and crew memory maps to Dynamiq session and long-term memory.

## Questions and answers

### Is CrewAI open source?

The crewAI framework is open source under the MIT license, per its GitHub repository. CrewAI AMP, the platform layered on top, is commercial, with a free Basic tier. Dynamiq's Python SDK is open source under Apache-2.0; the Dynamiq platform is not.

### Can CrewAI be self-hosted?

Yes. CrewAI Factory deploys the AMP platform on your own infrastructure or VPC, per CrewAI's pricing page and docs. Dynamiq also self-hosts on your cloud or on-prem, with isolated setups delivered with our engineers.

### Does CrewAI include forward-deployed engineers?

CrewAI offers forward-deployed engineering and training a la carte, and its Enterprise plan includes a 45-day onboarding, per its pricing page. Dynamiq's forward-deployed engineers run a bootcamp in your environment and ship your first production agent with your team as part of the engagement.

### Does CrewAI support voice agents?

Its site and documentation describe multi-agent crews, flows and chat, without a packaged voice agent product. Dynamiq includes Voice Agents for inbound calls on the same platform.

### How is Dynamiq priced compared with CrewAI?

CrewAI offers a free Basic plan with 50 workflow executions a month and custom Enterprise pricing, per its pricing page. Dynamiq offers a free plan to start and custom Enterprise pricing. Available on AWS Marketplace, Microsoft Azure Marketplace and IBM Marketplace.

## Sources

1.  [CrewAI homepage](https://www.crewai.com/)
2.  [CrewAI pricing](https://www.crewai.com/pricing)
3.  [CrewAI open source](https://www.crewai.com/open-source)
4.  [CrewAI Agent Management Platform](https://www.crewai.com/agent-management-platform)
5.  [CrewAI docs](https://docs.crewai.com/)
6.  [CrewAI LLMs (docs)](https://docs.crewai.com/en/concepts/llms)
7.  [CrewAI platform SSO (docs)](https://docs-platform.crewai.com/platform/en/features/sso)
8.  [crewAI GitHub license (MIT)](https://github.com/crewAIInc/crewAI/blob/main/LICENSE)
9.  [CrewAI Factory for self-hosting (May 2025)](https://www.crewai.com/blog/unlocking-agent-native-transformation-with-crewai-factory-and-nvidia)
10.  [Crew Studio, the automated agent builder (July 2026)](https://www.crewai.com/blog/crew-studio-automated-agent-builder)

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