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CrewAI

Open-source multi-agent framework and enterprise platform for building and running AI agent workflows

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About CrewAI

CrewAI is an open-source Python framework for orchestrating autonomous AI agents, paired with a commercial platform (CrewAI AMP) for deploying and managing those agents in production. The framework is built around two concepts: Crews, which are teams of role-playing agents with defined goals and tools that collaborate and delegate work, and Flows, which provide stateful, event-driven workflow control with conditionals, loops and branching. A Flow can hand a task to a Crew and continue based on the result.

Best for

  • Building multi-agent workflows in Python and moving them to a managed, governed runtime
  • Lead Enrichment: Automating research and enrichment of sales leads; Gelato reports 3,000+ leads enriched per month.
  • Customer Support Automation: Agents handling support queries; Piracanjuba reports 95% response accuracy.
  • QA Workflows: Automating quality-assurance review; Konecta reports cutting QA time from 74 to 3 hours.
  • Back-Office Automation: Summarizing reports and onboarding employees as an alternative to rigid rule-based RPA.
  • Research Pipelines: A Flow managing state while a Crew performs multi-step research.

Not ideal for

  • Non-technical users wanting a ready-made consumer assistant, or teams needing published self-serve paid pricing

Popular with

  • Python Developers
  • AI Engineers
  • Platform Teams
  • Enterprise IT Teams
  • Automation Teams

Screenshots

Key features

  • Crews
  • Flows
  • Crew Studio
  • Flexible Tools
  • Managed Deployment
  • Observability
  • Guardrails and Scheduling
  • Enterprise Governance
  • REST API Access

Pros and cons

Pros

  • MIT-licensed core framework with a large open-source community (about 59,900 GitHub stars).
  • Separates agent collaboration (Crews) from deterministic workflow control (Flows).
  • Free AMP tier includes a visual editor and 50 workflow executions per month.
  • Enterprise options include SSO, RBAC, PII redaction and private VPC deployment.
  • Built-in tracing, guardrails and scheduling on the platform.

Cons

  • Paid pricing is not published; only a free tier and contact-sales Enterprise are shown.
  • Free tier is limited to 50 workflow executions per month.
  • Code-first Python framework, so it needs developer skills outside Crew Studio.

Pricing

Plans as listed by the vendor on . Check their site for current prices.

See crewai.com

Basic

$0

Free AMP tier for trying the platform

  • Visual editor and AI copilot
  • GitHub integration
  • 50 workflow executions/month

Enterprise

Custom/custom

Organizations needing governance and private deployment

  • SSO and RBAC
  • PII redaction
  • dedicated VPC
  • cloud/VPC/own-infrastructure deployment
  • dedicated support
  • onboarding program

Our ratings

Scored out of 10 by the Finder Atlas editorial team.

7.9overall
Ease of Use
7.3
Feature Depth
8.5
Value for Money
7.8
Performance & Speed
7.8
Documentation & Support
8.0

Platforms and integrations

Available on

  • Web
  • CLI
  • API

Works with

  • GitHub

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Release history

  1. TechCrunch reported $18 million raised across seed and Series A rounds, with founder João Moura

    TechCrunch reported $18 million raised across seed and Series A rounds, with founder João Moura.

Reviews

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Frequently asked questions

Is CrewAI open source?

Yes. The core framework is MIT-licensed and hosted on GitHub at crewAIInc/crewAI, which showed about 59,900 stars at the time of research.

What is the difference between Crews and Flows?

Crews are teams of autonomous agents that collaborate on a goal, while Flows define the application structure, state and control logic. The docs recommend starting with a Flow and using a Crew inside a step when a task needs agent autonomy.

Does CrewAI offer a free plan?

The framework is free and open source, and the AMP platform has a free Basic plan with 50 workflow executions per month.

How much do paid plans cost?

The official pricing page lists only custom Enterprise pricing for paid use; prices are available through the "Request Info" option.

Can I deploy CrewAI in my own environment?

Enterprise plans list deployment on CrewAI cloud, in your own VPC, or on your own infrastructure.

Does CrewAI train its own models?

No. According to TechCrunch coverage, it uses models from third-party vendors such as OpenAI and Anthropic.

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