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CrewAI

Role-based multi-agent AI framework with 12M+ daily executions and 2B+ total agentic executions. Used by 60%+ of Fortune 500. CrewAI Flows for event-driven orchestration. Enterprise AMP Suite for tracing and control.

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📋About CrewAI

Updated August 26, 2026

CrewAI is an open-source multi-agent AI framework created by João Moura, designed to orchestrate autonomous AI agents that collaborate to complete complex tasks. The framework has become one of the most popular tools for building production-ready multi-agent systems.

CrewAI's core concept is organizing AI agents into "crews" — teams of specialized agents with defined roles, goals, and tools that work together on a task. Each agent can be backed by different LLMs and equipped with specific tools (web search, code execution, file operations), while a configurable process (sequential, hierarchical, or parallel) governs how agents collaborate. The framework handles memory, delegation, and task handoffs automatically.

CrewAI differentiates from other agent frameworks (like AG2 and LangGraph) through its emphasis on simplicity and production-readiness. The framework requires minimal boilerplate code to define agents and tasks, making it accessible to developers who want to build multi-agent systems without deep expertise in AI orchestration. CrewAI Enterprise offers managed deployment, monitoring, and governance features for production workloads.

🛠️Products & Tools (1)

CrewAIAI Agents & Workflow Automation

Framework for orchestrating teams of AI agents with role-based assignments. Agents can use tools, delegate tasks, and collaborate on complex multi-step workflows.

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