CrewAI: The Ultimate Open-Source Multi-Agent AI Framework

CrewAI is a cutting-edge framework designed to enable AI agents to take on roles, share goals, and work together like a well-oiled team. Whether you’re building intelligent assistant platforms, automating customer service teams, or creating multi-agent research groups, CrewAI provides the foundation for complex multi-agent interactions.

Key Features

Role-Based Agent Design

Customize specific roles, goals, and tools for each agent to optimize their performance and collaboration within the team.

Autonomous Inter-Agent Delegation

Agents can autonomously delegate tasks and ask each other questions, improving problem-solving efficiency and leveraging each agent’s unique capabilities.

Flexible Task Management

Define tasks with customizable tools that can be dynamically assigned to agents based on their roles and expertise.

Process-Driven Workflows

CrewAI currently supports sequential task execution and hierarchical processes, with more complex workflows like consensus and autonomy in development.

Output Saving and Parsing

Save the output of individual tasks as files for later use, or parse them into Pydantic models or JSON for seamless integration with other systems.

Compatibility with Open-Source Models

Run your teams using Open AI or open-source models. Refer to the Connect crewAI to LLMs page for detailed information on configuring agent model connections.

Getting Started

Follow these steps to install and set up crewAI for your multi-agent AI projects:

1. Install crewAI using pip:

   pip install crewai
   pip install 'crewai[tools]'  # Optional, installs crewai-tools with additional dependencies

2. Set environment variables for API keys and local models:

   import os
   os.environ["OPENAI_API_KEY"] = "YOUR_API_KEY"
   os.environ["SERPER_API_KEY"] = "Your Key"  # serper.dev API key

3. Define agents and tasks by creating Agent and Task objects, assigning them roles, goals, and tools:

   from crewai import Agent, Task, Crew, Process
   from crewai_tools import SerperDevTool

   search_tool = SerperDevTool()
   researcher = Agent(...)
   writer = Agent(...)

   task1 = Task(...)
   task2 = Task(...)

4. Create and launch a Crew by instantiating agents and tasks:

   crew = Crew(
       agents=[researcher, writer],
       tasks=[task1, task2],
       verbose=2,
   )

   result = crew.kickoff()
   print("######################")
   print(result)

Resources and Examples

CrewAI offers multiple real-life examples of AI teams for tasks like trip planning and stock analysis. Find various examples in the crewAI-examples repo.

For more information, visit:

• Official Website: https://crewai.com
• Documentation: https://docs.crewai.com/
• Examples: https://github.com/joaomdmoura/crewAI-examples

With its flexible, role-based design and powerful collaboration features, CrewAI is poised to revolutionize the way we build and deploy multi-agent AI systems. Whether you’re a researcher, developer, or business looking to harness the power of AI teamwork, CrewAI provides the tools and framework you need to create intelligent, efficient, and adaptable agent teams that can tackle even the most complex challenges.