Dynamiq vs CrewAI
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
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.
- Best for
DynamiqEnterprises in regulated industries that need chat, voice and workflow agents on one governed stack, deployed inside their own environment.
CrewAIBusiness and technical teams that build multi-agent crews and flows, with platform teams governing them in CrewAI AMP.
- Deployment options
DynamiqDynamiq 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.
CrewAIThe 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
DynamiqYes. Self-hosted on your cloud or on-prem, or Dynamiq Cloud; both run the same engine.
CrewAIYes. 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
DynamiqThe 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.
CrewAIThe 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
Dynamiq29 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.
CrewAIProviders 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)
DynamiqChat, 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.
CrewAIMulti-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
DynamiqAgent 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.
CrewAIA 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
DynamiqSession 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.
CrewAIMemory and knowledge are built into the framework, alongside guardrails and observability, per CrewAI's docs.
- Governance (guardrails, approvals, SSO)
DynamiqGuardrails 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.
CrewAIGuardrails 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
DynamiqEvals 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.
CrewAIReal-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
Dynamiq2,100+ app integrations and 11,800+ actions, plus MCP servers and per-user connections.
CrewAICrew Studio connects to more than 1,000 applications, and the framework ships hundreds of open-source tools with MCP support.
- Compliance
DynamiqSOC 2 and CASA Tier 2, with a BAA for HIPAA workloads and a DPA under GDPR.
CrewAICrewAI cites a SOC 2 report and a HIPAA Security Rule gap assessment, per a May 2025 post on its blog.
- Delivery help (engineers)
DynamiqForward-deployed engineers run a bootcamp in your environment, ship the first production agent with your team, then hand over.
CrewAIForward-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
DynamiqFree to start ($0), and Enterprise with custom pricing. Available on AWS Marketplace, Microsoft Azure Marketplace and IBM Marketplace.
CrewAIA 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
- CrewAI homepage (opens in a new tab)
- CrewAI pricing (opens in a new tab)
- CrewAI open source (opens in a new tab)
- CrewAI Agent Management Platform (opens in a new tab)
- CrewAI docs (opens in a new tab)
- CrewAI LLMs (docs) (opens in a new tab)
- CrewAI platform SSO (docs) (opens in a new tab)
- crewAI GitHub license (MIT) (opens in a new tab)
- CrewAI Factory for self-hosting (May 2025) (opens in a new tab)
- Crew Studio, the automated agent builder (July 2026) (opens in a new tab)

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