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Agent frameworks
CrewAI
Role-based multi-agent orchestration framework that simplifies collaborative agent workflows.
Overview
Allows builders to define agents with specific roles, goals, and backstories, then organize them into 'crews' to execute tasks collaboratively. It abstracts away the complex graph logic in favor of intuitive task delegation.
Best for
- Rapid prototyping of team-based AI agents
- Projects with clear role definitions (e.g., Researcher, Writer, Editor)
Trade-offs
vs LangGraph
CrewAI is significantly easier to set up for hierarchical multi-agent tasks; LangGraph is better for custom, non-linear control flows and debugging.
What XeroHack pre-wires
When you pick CrewAI in the interview, the engine emits these files into your scaffold:
- Sequential Process
- Hierarchical Process
- Consensual Process
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