Crewai

Overview

CrewAI enables role-based multi-agent AI systems. Agents have defined goals, tools, backstories, and memory. Tasks are assigned to specific agents with expected outputs. Supports sequential and hierarchical execution.

Installation

uv pip install crewai

Research Crew

from crewai import Agent, Task, Crew

researcher = Agent(
    role="Research Analyst",
    goal="Find latest developments in AI agents",
    backstory="Expert at finding relevant information",
)

writer = Agent(
    role="Technical Writer",
    goal="Write clear summary of findings",
    backstory="Skilled at explaining technical topics",
)

task1 = Task(description="Search for latest AI agent frameworks in 2025",
             expected_output="List of frameworks with key features",
             agent=researcher)

task2 = Task(description="Write a 3-paragraph summary", expected_output="Markdown report", agent=writer)

crew = Crew(agents=[researcher, writer], tasks=[task1, task2])
result = crew.kickoff()
print(result)

With Tools

from crewai_tools import SerperDevTool
researcher = Agent(
    role="Research Analyst",
    tools=[SerperDevTool()],
)

References

• CrewAI docs
• CrewAI GitHub