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CrewAI

CrewAI is an open-source framework for building and orchestrating collaborative AI agents and multi-agent workflows.

How 2 Manning books explain it

AI Agents in Action

CrewAI is a framework for building multi-agent applications by structuring agents, roles, tasks, memory, and tools.

How it is used
Structures enterprise-oriented multi-agent workflows around specialized roles, assigned tasks, and controlled processing.
How deep it goes
Explains agent, task, and crew configuration through runnable examples, then demonstrates sequential and hierarchical execution.
Examples
Demonstrates joke writing, Python game development, quality assurance, crew managers, and AgentOps monitoring exercises.
What you can do after
Build it from scratch by defining agents and tasks, assembling a crew, running workflows, and comparing sequential with hierarchical coordination.

Read how AI Agents in Action explains CrewAI →

Building Reliable AI Systems

CrewAI is a framework for building multi-agent systems with role-based agent definitions.

How it is used
Builds task-oriented multi-agent workflows by assigning agents roles and goals and letting the framework coordinate collaboration.
How deep it goes
Defines roles, goals, backstories, and tools, then contrasts delegated coordination with explicit state and routing.
Examples
Illustrates agents as a team with job-description-like roles that collaborate to divide and conquer tasks.
What you can do after
Apply CrewAI by defining agents with roles, goals, and tools for task-oriented collaboration.

Read how Building Reliable AI Systems explains CrewAI →

Related concepts

These guides are generated from the text of Manning books by Manning's knowledge graph and link to the sections they draw on. The full books are available on liveBook and at manning.com.