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CrewAI

As explained in Building Reliable AI Systems

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

CrewAI is a framework for building multi-agent systems around role-based agent definitions. Assign agents roles and goals, provide tools, and let the framework coordinate their collaboration. section 8.3

CrewAI and LangGraph use different approaches to multi-agent workflows:

  • CrewAI treats agents like a team: define roles, goals, and backstories, then let agents collaborate autonomously. It suits task-oriented workflows where agents divide and conquer, with less code but less fine-grained control. section 8.3.1
  • LangGraph uses explicit states, nodes, and edges to control communication and routing. It offers precise control for custom workflows, at the cost of more code. section 8.3.1

How Building Reliable AI Systems covers it

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.
How it connects
Connects multi-agent systems with LangGraph by contrasting autonomous task delegation against explicit states, nodes, edges, and routing.

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This explainer was generated by Manning's knowledge graph from the text of Building Reliable AI Systems. The section links point to the parts of the book it draws on.