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CrewAI

CrewAI is an open-source framework for building teams of AI agents, called crews, where each agent has a role and hands work to the others. The company also sells an enterprise platform for building, running, and governing agents.

6.9/10
Overall Score
Conditional recommend

CrewAI makes the multi-agent pattern easy to demo. Most production value still comes from one well-scoped agent plus tools, so this stays a conditional recommend.

Best for

Developers building role-based teams of AI agents in Python, such as internal tools where a person checks the output before it's used.

Not ideal for

Teams that only need a single agent in production, need support replies in real time, or don't want to debug how several agents pass work to each other.

Verdict

CrewAI is a good fit for builders who want a multi-agent workflow where distinct roles collaborate on a shared task. The open framework keeps early cost low; paid tiers show up when you want hosted control and support. It makes the crew pattern easy to demo, and clients like the mental model. Just know most production wins still come from one well-scoped agent plus tools.

Score Breakdown

How CrewAI scores in the categories that matter to its buyers.

Buyer outcomes

Role & crew design
7.5
Handoff clarity
7.1
Production control
6.4
Eval fit
6.7

Company & commercial

Innovation & product leadership
7.3
Project management & communication
6.6
Pricing
6.9
Contract fairness
6.8

Pricing

CrewAI publishes a free hosted Basic tier for its agent management platform, with Enterprise sold by quote. The open-source Python framework remains free under MIT. Prices below are USD from CrewAI’s public rate card as of September 2026.

Plan Executions / month Price What stands out
Basic 50 $0 Visual editor, AI copilot, GitHub integration, tracing
Enterprise Custom Sales quote SSO, RBAC, VPC or self-host deploy, 45-day onboarding

The Field at a Glance

How CrewAI compares with other multi-agent / swarm tooling and nearby agents & orchestration vendors we reviewed, by Overall Score and relative typical engagement cost.

6 7 8 9 Overall Score $ $$ $$$ $$$$ Relative typical engagement cost LlamaIndex Agno LangChain Dify n8n deepset Zapier Sema4.ai CrewAI 6.9
CrewAI LlamaIndex Agno LangChain Dify n8n deepset Zapier Sema4.ai

CrewAI scores 6.9 on this chart of multi-agent / swarm tooling and nearby agents & orchestration vendors, under LlamaIndex (8.1), Agno (8.0), LangChain (8.0), Dify (7.5), n8n (7.5), and deepset (7.1), and ahead of Zapier (6.7) and Sema4.ai (6.3).

Use-case matrix

Use caseFitNotes
Role-based agent prototypesStrongClear mental model for a first crew.
Research or drafting swarmsMixedWorks when you cap steps and cost.
Customer-facing agent fleetsPoorNeeds more control than the framework supplies.
Replacing a workflow enginePoorCrews are not a substitute for orchestration with SLAs.

Review Excerpts

Excerpts from public reviews and forum discussions of CrewAI. Paid reviews and pay-for-play sites were excluded.

What people don't like

“After spending a lot of time on it for my own projects, I became very disappointed with AutoGen and CrewAI.”

Hacker News · source
What people don't like

“whereas autogen and crewAI are complete lost cases unless using only the strongest most expensive models.”

Hacker News · source
How it's used

“i've been using loads of ai agent frameworks (crewai, langgraph, autogen) and i just don't get why they are so popular.”

Hacker News · source
What people don't like

“On the other hand, in all of the use-cases I tried I ended up spending hours analysing the logs and results trying to make it work repeatedly. It is also incredibly slow (in my case one run takes 5–10 minutes), which is mostly due to the planning and thinking process.”

Ondřej Popelka · Medium · source
What people don't like

“In the end, by the time I had the crew working I would have had the use-case implemented like 10 times if I used LLM API directly.”

Ondřej Popelka · Medium · source
What people don't like

“CrewAI can be resource-heavy. Running multiple agents simultaneously ate through my API credits faster than I expected. That Dubai project cost about $180 in API fees during the first month of testing.”

Nova · DEV Community · source

Company Facts

Founded
2024 (CB Insights)
Headquarters
Middletown, Delaware, United States (CB Insights)
Total funding raised
$18M (CB Insights)
Key investors
Craft Ventures, Earl Grey Capital, Andrew Ng, Alt Capital, Insight Partners (CB Insights)
Customers
Konecta and Docusign (CB Insights)
Website
crewai.com

Key Leadership

João Moura

João Moura

Founder and CEO

Methodology

We scored CrewAI on eight criteria, from role and crew design to contract fairness, and the Overall Score is the simple average of those eight scores on a 0 to 10 scale. The scores draw on user reviews, a hands-on look at the product, its pricing, and its documentation and training. AI Industry Reviews accepts no sponsorships or pay-for-placement fees, and CrewAI did not pay for this review.

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