CrewAI
by CrewAI Inc
Framework for orchestrating role-playing autonomous AI agents
See All Agentic FrameworksOverview
CrewAI enables collaborative intelligence through role-playing AI agents. Agents work as a crew with defined roles, goals, and backstories to tackle complex tasks.
Key Statistics
Overall Rating
4.2/5
GitHub Stars
39,200
Last Updated
2025-10
Version
0.97.0
Features
Role-based agents
Role-based agents capabilities
Collaborative workflows
Collaborative workflows capabilities
Task delegation
Task delegation capabilities
Getting Started
Installation
pip install crewai
Quick Start
Install CrewAI and define crew with agents
Code Example
from crewai import Agent, Crew, Task
Pros & Cons
Advantages
Intuitive role-based agent design
Easy to understand crew metaphor
Growing community and adoption
Good documentation and examples
Enterprise features with CrewAI+ platform
MIT license
Production-ready with observability
Limitations
Less flexibility than lower-level frameworks
Opinionated architecture may not fit all use cases
Enterprise features require paid platform
Smaller ecosystem than LangChain
Less control over agent internals
Limited streaming function calling support
CrewAI Framework Deep Dive
Comprehensive analysis of CrewAI capabilities, implementation patterns, and real-world applications.
Framework Overview & Capabilities
CrewAI enables sophisticated crew agents through role based hierarchical teams with intelligent task delegation. The framework facilitates agent collaboration and workflow automation for complex multi agent coordination scenarios.
Technical Architecture & Implementation
Built on the crew framework architecture, CrewAI provides comprehensive agent tools and task execution capabilities. The platform supports hierarchical teams with role based assignment and advanced task delegation mechanisms.
Production Implementation Strategies
CrewAI implementation emphasizes business automation through team coordination and enterprise workflows. The framework handles multi agent coordination with crew agents working in hierarchical teams for optimal task delegation.
Enterprise Use Cases & Applications
CrewAI excels in business automation requiring crew agents, team coordination with hierarchical teams, and enterprise workflows with sophisticated agent collaboration and task delegation.
Framework Specialization Areas
CrewAI excels in these key areas, making it the preferred choice for specific use cases and industries.
Team Coordination
Business Automation
Role-Based Systems
Workflow Management
Technical Details
Primary Language
Python
Supported Languages
License
MIT
Enterprise Ready
Yes
Community Size
Very Large
Pricing
Open Source + Enterprise
Free open source. CrewAI+ Enterprise: Usage-based pricing, contact sales
Performance Metrics
easeOfUse
4/5
scalability
4/5
documentation
4/5
community
5/5
performance
4/5
Common Use Cases
Content creation teams (research + writing + editing)
Business analysis with multiple perspectives
Software development crews
Market research and competitor analysis
Report generation with multiple agents
Customer support escalation workflows
Technical Keywords & Concepts
Key technical concepts and terminology essential for crewai implementation.
Core Framework Concepts
Advanced Features
Technical Implementation
Industry Applications
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