The Enterprise Agent Build & Runtime

Enabling business and technical teams to build agents while giving platform teams the control to govern them

CrewAI unblocks the enterprise agent backlog by giving both business teams and engineers a unified build and runtime platform that is centrally governed

Loved by AI builders. Trusted by AI leaders. Used by 65% of the Fortune 500.

Discover

Know what to automate before you build

CrewAI Discovery matches patterns observed over billions of agent runs against your tickets, chats, apps, and workflows. You get a list of automation opportunities ranked by effort, value, and readiness.

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Agentic use case generator powered by billions of agent runs
Interactive suggestions refine and improve recommended automations
Agent automations in shareable presentation format accelerates team alignment
Accelerated path to build automations with one-click context

Build

Automated multi-agent builder

Build complex operational agents that automate long horizon work using simple prompt and canvas style builder, intelligently guided by 700k agent workflow patterns.

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No-code visual editor, exportable to Python
Code-first API built for total control
Role-based agents separate and simplify agent orchestration
Create deterministic agent workflows

Govern

Manage enterprise-grade agents with control and confidence

CrewAI's Control Plane sits in the execution path of every workflow, ensuring every agent interaction is observable, compliant, and reversible

Real-time tracing of every LLM call, tool call, and memory read is observable with full cost accounting
RBAC and audit provide granular control, immutable audit trails, and Enterprise IAM
Human-in-the-loop approval gates and intervention during execution
Runtime hooks inject PII redaction and policy checks at every LLM and tool call

Optimize

Run agents that improve automatically

CrewAI turns every production run into training data to sharpen accuracy, save money, and surface the next workflow to build

Automated and human-guided training for continuous improvement
Multi-LLM testing for model swapping at runtime, find the right model for every workflow
Evaluation for native tracking with expanded sophistication powered by Arize, Galileo, DataDog, and Patronus
Real-time tracing for every LLM call, tool call, and memory read is observable with full cost accounting

Proven Results

The future is here, right now.

0M+: Agentic workflows ran per month
0+: Sign ups per week
0%: of the Fortune 500

Testimonials

Our clients love us

Gelato improved lead quality and prioritization with AI agents that enrich leads with data on company size, printer infrastructure and revenue estimates.
Styrbjorn Holmberg - VP Product Management
3,000+
leads enriched per month
General Assembly streamlined and scaled its curriculum design process with a crew of AI agents that generate lesson content and instructor guides.
90%
reduction in development time
Docusign accelerated lead time-to-first-contact by extracting, consolidating and evaluating lead data from multiple internal systems with AI agents.
75%
faster first contact with leads
Piracanjuba improved customer support ticket response time as well as accuracy by replacing its legacy RPA tooling with a crew of AI agents.
95%
response accuracy for customer support
Automated voice agent testing helped a leading food ordering service reduce QA from 74 to 3 hours.
96%
reduction in QA time

Get Started

CrewAI supports any stage of your agentic journey

Starting out
You're ready for agents. You need a solid foundation to start building.
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Scaling up
You've launched pilots. Now you need agents in production.
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At scale
Agents are running. You need to manage the sprawl.
Meet with us