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CrewAI

Multi-agent AI orchestration — define crews of specialized agents that collaborate.

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AI Agents
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Overview

CrewAI is a framework for orchestrating multi-agent AI systems, where specialized agents with defined roles collaborate to complete complex tasks.

Key Features

  • Role-based agent design with goals and backstory
  • Sequential and hierarchical task execution
  • Built-in tools: web search, file read/write, code execution
  • Agent memory for long-running workflows
  • Human-in-the-loop support
  • CrewAI Flows for deterministic agent pipelines

Real-World Workflows

Automated research and content pipeline

  1. 1Define a Researcher agent with web search tools
  2. 2Define a Writer agent with content guidelines
  3. 3Define an Editor agent to review output
  4. 4Run the crew — agents hand off work to each other automatically

Getting Started

pip install crewai crewai-tools

from crewai import Agent, Task, Crew

researcher = Agent(
    role='Researcher',
    goal='Find latest AI trends',
    backstory='Expert in AI research'
)
task = Task(description='Research top AI tools of 2025', agent=researcher)
crew = Crew(agents=[researcher], tasks=[task])
result = crew.kickoff()
print(result)

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