CrewAI vs Dynamiq

Two fact sheets from our own research, side by side — pricing, platforms, API access and status re-checked by us rather than quoted from the vendors.

The short answer

Free plan: Both have one
Public API: Both have one
Higher Trust score: CrewAI — 92 vs 80 for Dynamiq
Best fit: CrewAI: Python developers prototyping multi-agent workflows with clear roles and delegation · Dynamiq: Banks, insurers and healthcare groups that need agents on their own infrastructure
Platforms: CrewAI: Web, Linux, macOS, Windows · Dynamiq: Web

From our own records as of each tool's last check. Anything we have not confirmed is left out rather than guessed. How we verify

CrewAIOpen-source Python framework for role-based agent crews and event-driven flows, with a hosted platform for running them

DynamiqPlatform for building chat, voice and workflow agents that run inside a customer's own cloud or data center, with an open-source Python SDK.

Side by side

Fact	CrewAI	Dynamiq
Category	AI Agents & Autonomous Workers	Agent Frameworks & Orchestration
Pricing model	Freemium	Freemium
Public API	Yes	Yes
Trust score	92 / 100	80 / 100
Platforms	Web, API, Linux, macOS, Windows	Web, API
Company	CrewAI, Inc.	Dynamiq Technologies, Inc.
Last verified	Sep 6, 2026	Oct 2, 2026

What our research says

CrewAI

CrewAI is the quickest way to get a team of role-defined agents working on a task, and Flows added the deterministic control that early crews lacked. The open-source core is free and widely used; the paid platform is for teams that want governance and managed execution without building the plumbing. Treat the enterprise claims on the homepage as marketing and the free tier's 50 executions as a trial, not a plan.

Pros

MIT-licensed framework with a large community and about 59,700 GitHub stars
Crews for collaboration and Flows for state, branching and loops cover both exploratory and production shapes
Free platform tier with a visual editor, AI copilot and GitHub integration costs nothing to try
Enterprise deployment on CrewAI cloud, your VPC or on-premise, with PII redaction and policy controls

Cons

Enterprise pricing is quote-only, with executions beyond the free 50 a month behind sales
Role-playing agent abstractions can hide cost: every delegation is another LLM call
Debugging a crew means reading long non-deterministic delegation traces, and observability on the free tier is not described on the pricing page
Homepage usage claims (65% of the Fortune 500, 450M+ workflows a month) are the vendor's own

Dynamiq

Dynamiq is aimed at regulated enterprises that want agents inside their own perimeter and are willing to work with the vendor's engineers to get there. The free cloud plan and Apache-2.0 SDK let a developer try it before any sales conversation. It is overkill for a hobby project and the price of the real deployment is entirely a quote.

Pros

Open-source Apache-2.0 SDK alongside the hosted platform
Deployable in managed cloud, customer cloud or on-premises Kubernetes
Built-in PII and prompt-injection detection, approval gates and run traces
Lists SOC 2, HIPAA, GDPR and CASA Tier 2 compliance

Cons

Enterprise pricing is not published
Positioning is heavily enterprise and services-driven, so small teams may find it heavier than needed
The SDK community is small compared with the major agent frameworks

Which one fits

Choose CrewAI if you need

Python developers prototyping multi-agent workflows with clear roles and delegation
Teams that want an opinionated structure (Crews inside Flows) instead of wiring a graph from scratch
Enterprises that need SSO, RBAC and VPC deployment around agents they already built on the framework

Choose Dynamiq if you need

Banks, insurers and healthcare groups that need agents on their own infrastructure
Teams that want both a visual builder and a code SDK for the same agents
Engineering groups that want vendor help shipping a first production agent