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Crewai
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Crewai is an open-source multi-agent orchestration framework that lets developers define, coordinate, and monitor multiple AI agents working together. It supports role-based task allocation, inter-agent messaging protocols, and adaptive planning to solve complex, multi-step tasks efficiently.
AI Memory Systems
AI Platforms & Frameworks
Business Intelligence
Predictive Analytics
#multi-agent systems
#AI agent orchestration
#role-based task management
#inter-agent communication
#Python AI library
#LLM Integration
#real-time monitoring
#scalable AI collaboration
#dynamic planning
#plug and play models
#agent behavior tracking
#open-source AI tools
#modular AI architecture
#task allocation strategies
#debugging AI systems
#conversation logging
#rapid workflow prototyping
#community-supported projects
#agent messaging protocols
#iterative refinement
...
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Crewai is an open-source multi-agent orchestration framework that lets developers define, coordinate, and monitor multiple AI agents working together. It supports role-based task allocation, inter-agent messaging protocols, and adaptive planning to solve complex, multi-step tasks efficiently.
AI Memory Systems
AI Platforms & Frameworks
Business Intelligence
Predictive Analytics
#multi-agent systems
#AI agent orchestration
#role-based task management
#inter-agent communication
#Python AI library
#LLM Integration
#real-time monitoring
#scalable AI collaboration
#dynamic planning
#plug and play models
#agent behavior tracking
#open-source AI tools
#modular AI architecture
#task allocation strategies
#debugging AI systems
#conversation logging
#rapid workflow prototyping
#community-supported projects
#agent messaging protocols
#iterative refinement
...
Featured
What is Crewai?
Crewai provides a Python-based library to design and execute multi-AI agent systems. Users can define individual agents with specialized roles, configure messaging channels for inter-agent communication, and implement dynamic planners to allocate tasks based on real-time context. Its modular architecture enables plugging in different LLMs or custom models for each agent. Built-in logging and monitoring tools track conversations and decisions, allowing seamless debugging and iterative refinement of agent behaviors.
Who will use Crewai?
- AI researchers exploring agent collaboration
- Software developers building AI orchestration systems
- Product teams prototyping multi-step automation
- Educators teaching multi-agent system design
- Data scientists implementing distributed workflows
How to use the Crewai?
- Step1: Install Crewai via pip install crewai
- Step2: Define agent classes and assign distinct roles
- Step3: Configure communication protocols and shared memory
- Step4: Create a central orchestrator with dynamic planning logic
- Step5: Launch the agent system and monitor interactions
- Step6: Analyze logs and refine agent behaviors
Platform
- Linux
- Mac
- Windows
Crewai's Core Features & Benefits
The Core Features
- Multi-agent orchestration API
- Role-based task allocation
- Inter-agent messaging protocols
- Pluggable LLM/model integration
- Real-time logging and monitoring
The Benefits
- Scalable collaboration between AI agents
- Modular design for custom models
- Transparent decision tracking
- Rapid prototyping of multi-step workflows
- Open-source with community support
Crewai's Main Use Cases & Applications
- Automating customer support via specialist agents
- Collaborative data analysis pipelines
- Multi-step content generation workflows
- Simulation of negotiation scenarios
- Business process orchestration
Crewai's Pros & Cons
The Pros
Comprehensive introduction to multi-agent AI systems with practical business applications.
Uses an open source library, crewAI, providing hands-on coding experience.
Covers advanced AI agent concepts such as role-playing, memory, tools, and cooperation.
Suitable for beginners with some coding and prompt engineering background.
Free enrollment available during the beta phase, lowering barrier to entry.
The Cons
Limited to a short 2 hours 41 minutes course duration which may not cover advanced topics deeply.
No direct GitHub repository link provided on the page for the crewAI library.
Focuses on educational content rather than a standalone product or tool ready for commercial deployment.
Crewai's Pricing
| Has free plan | No |
|---|---|
| Free trial details | 7-day free trial with full access, no credit card required for trial signup |
| Pricing model | Free Trial |
| Is credit card required | No |
| Paid from | 29.99 USD |
| Has lifetime plan | No |
| Billing frequency | Monthly |
Details of Pricing Plan
Monthly Subscription
29.99 USDAnnual Subscription
299 USD- All monthly plan benefits
- Save 20% compared to monthly plan
- Billed annually
Discount:Enjoy 30% off now. Cancel anytime.
For the latest prices, please visit: https://learn.deeplearning.ai/courses/multi-ai-agent-systems-with-crewai?utm_source=home&utm_medium=course-landing-page&utm_campaign=summary-cta-buttonFAQs of Crewai
Crewai Company Information
Analytic of Crewai
Visit Over Time
Monthly Visits
2714.1k
Avg Visit Duration
00:03:51
Page Per Visit
3.47
Bounce Rate
50.21%
Aug 2025 - Oct 2025 All Traffic
Geography
Top 5 Regions
United States
26.71%
India
12.87%
China
4.08%
Germany
3.68%
United Kingdom
3.41%
Aug 2025 - Oct 2025 Worldwide Desktop Only
Traffic Sources
Direct
56.42%
Search
33.95%
Referrals
6.41%
Social
2.63%
Paid Referrals
0.49%
Mail
0.10%
Aug 2025 - Oct 2025 Desktop Only
Top Keywords
| Keyword | Traffic | Cost Per Click |
|---|---|---|
| deeplearning.ai | 38.0k | $ -- |
| deeplearning ai | 16.2k | $ 2.78 |
| deep learning ai | 15.5k | $ 2.33 |
| deeplearning | 15.6k | $ 1.05 |
| ai for everyone | 14.3k | $ 2.52 |
Crewai Reviews
5/5
Crewai's Main Competitors and alternatives?
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