CrewAI
by CrewAI, Inc.
Open-source framework for orchestrating role-based, collaborating multi-agent teams
Open-source framework for orchestrating role-based, collaborating multi-agent teams
What it can do
Orchestrate role-based multi-agent crews
SupervisedDefine agents with roles, goals, tools, and memory that collaborate via sequential or hierarchical, manager-delegated processes; autonomy is developer-defined.
sourceBuild deterministic event-driven Flows
SupervisedCreate stateful, event-driven workflows with branching, persistence, and resumable long-running execution to control agent autonomy.
sourceGovern production agents (Control Plane)
AssistantTrace every LLM and tool call with cost accounting, enforce RBAC and audit, and inject PII redaction and policy checks at runtime.
sourceAdd human-in-the-loop approval gates
SupervisedTasks and processes support callbacks, guardrails, and human-in-the-loop triggers for approval and intervention during execution.
source
Overview
CrewAI is an open-source Python framework for building multi-agent systems, with a commercial enterprise platform layered on top. It is developer infrastructure.
What it does
The core abstraction pairs Crews (role-based collaborating agents) with Flows (deterministic, event-driven workflows for control). It supports sequential and hierarchical processes, guardrails, memory, and human-in-the-loop triggers. The enterprise Control Plane adds observability, RBAC, audit, and runtime policy hooks. Autonomy is determined by the developer's design.
Integrations & setup
Bring-your-own LLM keys (OpenAI, Anthropic, and others), tool integrations like web search, and observability via Datadog and others, plus MCP for tool integration. The framework runs anywhere; the enterprise platform is managed.
Pricing
The framework is open source and free. The managed platform has a free tier, paid plans reportedly from around $25/mo, and contact-sales enterprise. Bring-your-own LLM costs are separate.
Best for / not for
Best for developers who want a lean multi-agent framework. Less suited to those who need the largest integration ecosystem or a no-code product.
Alternatives
LangChain is the larger framework; n8n offers visual workflow automation with AI nodes.
What people are saying
Loved for
- +systems
- +agentic
- +experience
Common gripes
- −review
- −test
- −code
Recent mentions
“Agentic AI Concepts . . aiforleaders.co”
“O'Reilly just published my breakdown of the AI agents stack. It's going to piss off some framework maintainers. 6 layers between your LLM and a production agent. Most teams overbuild 3 of them: LangGraph before they kn”
“Imagine quitting your 9-5... and banking $5K–$30K/month with AI agents. Sound like hype? I uncovered the REAL roadmap pros are using RIGHT NOW. As a tech pro who's built AI workflows for Fortune 500s, I reverse-engineere”
“Built a complete AI SOC analyst for OT/ICS environments from scratch. Quick breakdown of the stack: - Simulated OT environment — OpenPLC as a software PLC + ScadaBR as the -SCADA HMI, communicating over Modbus TCP - Zeek”
“+ ! If there was one clear thread running through every session, it’s”
Used this agent?
Sign in to upvote, rate, follow, or leave a comment.