CrewAI

What if your business could automate complex tasks with AI agents, centrally governed and continuously optimized?

Automated product research from public website content. No hands-on app test is recorded for this profile. Pricing source and check date are shown below where available.

Research fitSource-based assessment: CrewAI provides a robust, enterprise-focused platform for building, deploying, and managing AI agents with comprehensive governance and optimization capabilities.

CrewAI provides a unified platform for both business and technical teams to build, deploy, and govern AI agents. It helps unblock enterprise agent backlogs by offering tools for discovering automation opportunities, building multi-agent workflows, and managing agents with robust governance and optimization features.

Key Features:
  • AI-powered Discovery for automation opportunities
  • Automated multi-agent builder (no-code visual editor & code-first API)
  • Enterprise-grade Control Plane for governance (RBAC, audit, PII redaction)
  • Real-time tracing, cost accounting, and human-in-the-loop intervention
  • Automated and human-guided training for continuous agent improvement
Pros
  • Enterprise businesses looking to scale AI agent adoption
  • Platform teams needing control and governance over AI agents
  • AI builders and engineers developing complex multi-agent systems
Cons
  • Enterprise-focused features might be overkill for smaller projects.
  • The platform's full potential is realized with complex, long-horizon work.
  • Requires integration with existing enterprise applications and workflows.
Pricing
freemiumFree tier
Starting at:Custom
Free tier:50 workflow executions/month, visual editor, GitHub integration
Plans
  • Basic: Free (50 workflow executions/month)
  • Enterprise: Custom (SSO, RBAC, dedicated support, custom infrastructure options)
Share:
Quick Decision
Try if: You are an enterprise looking to implement and scale AI agent-based automation with a strong need for governance, observability, and continuous improvement.
Skip if: You are an individual developer or a small team seeking a lightweight, free, or low-cost solution for simple, single-agent tasks without enterprise-level requirements.
Not for: Individuals or small teams with very basic automation needs; Users seeking a simple, single-agent solution without advanced governance
Trust Signals
  • Founded


    2025
  • Team Size


    medium
Notable Customers
65% of the Fortune 500
Tech Details
Platforms
webapi
Integrations
GitHubGmailSlackSalesforceDriveOutlookTeamsOneDriveHubSpotAmazon Bedrock Agents
Open Source
Yes
Support
Channels
community forumemaildedicated support (enterprise)Slack/Teams (enterprise)on-site (enterprise)
Company
  • Name


    CrewAI, Inc.
  • Location


    Delaware, USA

CrewAI, Inc. is a Delaware corporation providing an enterprise agent build and runtime platform for AI-powered automation.

FAQ

What is CrewAI?

CrewAI is an enterprise agent build and runtime platform that enables businesses to create, deploy, and manage collaborative AI agents for automating complex workflows. It provides tools for discovering automation opportunities, building multi-agent systems, and governing them with enterprise-grade controls.

Is CrewAI open source?

Yes, CrewAI offers an open-source component, alongside its enterprise platform. The website mentions both 'Open Source' and 'Enterprise' offerings.

What are the pricing options for CrewAI?

CrewAI offers a freemium model. There is a 'Basic' free tier that includes a visual editor, AI copilot, GitHub integration, and 50 workflow executions per month. For enterprise-level features like SSO, RBAC, custom deployment, and dedicated support, a 'Custom' enterprise plan is available.

How does CrewAI ensure data privacy and security?

CrewAI employs industry-standard technical, organizational, and physical safeguards, including encryption, role-based access controls, and continuous monitoring. For Google user data, it is used solely to provide and improve CrewAI's features, never for advertising or training AI models, and is retained only as long as needed for service provision or legal obligations.

Use Cases
  • Enterprise businesses looking to scale AI agent adoption
  • Platform teams needing control and governance over AI agents
  • AI builders and engineers developing complex multi-agent systems
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