·AI Agents and LLMs
Multi-Agent Systems: Design Patterns for Collaboration
Why one agent isn't enough. We explore the design patterns of Multi-Agent Systems (MAS), including Leader-Worker, Hierarchical Teams, and Shared Memory architectures.
crewai
10 articles
·Agentic AI
Module 11 Lesson 1: Side-by-Side Comparison
The Framework Showdown. Comparing the architecture, complexity, and performance of the top 3 agent frameworks.
·Agentic AI
Module 11 Lesson 4: When to use CrewAI
The Creative Engine. Scenarios where specialized roles and collaborative personas result in superior quality output.
·Agentic AI
Module 11 Lesson 5: Mixing Frameworks
The Hybrid Approach. How to combine LangGraph's control with CrewAI's collaboration for the ultimate system.
·Agentic AI
Module 8 Lesson 1: What CrewAI Is
From single actors to ensemble casts. Understanding the specialized role-playing framework for multi-agent systems.
·Agentic AI
Module 8 Lesson 2: Roles and Responsibilities
Designing the persona. How to write effective Roles, Goals, and Backstories to maximize agent performance.
·Agentic AI
Module 8 Lesson 3: Task Decomposition
Breaking it down. How to turn a complex project into a set of discrete, delegated Tasks in CrewAI.
·Agentic AI
Module 8 Lesson 4: Agent Collaboration Models
Sequential vs. Hierarchical. Choosing the right organizational structure for your agent team.
·Agentic AI
Module 8 Lesson 5: Communication Patterns
How agents share data. Understanding context passing, memory sharing, and the 'Kitchen' environment in CrewAI.
·Agentic AI
Module 8 Wrap-up: Your First AI Crew
Hands-on: Build a two-agent research crew that identifies tech trends and writes a report.