CrewAI vs LangGraph

from crewai import Agent, Task, Crew

# Create specialized agents
researcher = Agent(
  role='Research Analyst',
  goal='Find the latest trends in AI',
  backstory='You are an expert researcher with years of experience'
)

writer = Agent(
  role='Content Writer',
  goal='Write engaging articles about AI trends',
  backstory='You are a skilled writer who creates compelling content'
)

# Create tasks
research_task = Task(
  description='Research the latest AI trends for 2024',
  agent=researcher
)

write_task = Task(
  description='Write a blog post about the research findings',
  agent=writer
)

# Create and run the crew
crew = Crew(agents=[researcher, writer], tasks=[research_task, write_task])
result = crew.kickoff()

import { StateGraph, END } from '@langchain/langgraph';

const workflow = new StateGraph({ channels: { messages: { value: (x, y) => x.concat(y) } } });

workflow.addNode('agent', async (state) => {
  const response = await llm.invoke(state.messages);
  return { messages: [response] };
});

workflow.setEntryPoint('agent');
workflow.addEdge('agent', END);

const app = workflow.compile();
const result = await app.invoke({ messages: [{ role: 'user', content: 'Hello' }] });