Multi-AI-Agent-Systems-with-crewAI and crewaimaster

These are complements: the first is an educational resource for learning crewAI agent design patterns, while the second is a practical automation tool that applies those patterns to automatically generate multi-agent systems from task descriptions.

crewaimaster
26
Experimental
Maintenance 0/25
Adoption 10/25
Maturity 8/25
Community 22/25
Maintenance 2/25
Adoption 6/25
Maturity 18/25
Community 0/25
Stars: 152
Forks: 52
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License:
Stars: 3
Forks:
Downloads: 12
Commits (30d): 0
Language: Python
License: MIT
No License Stale 6m No Package No Dependents
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About Multi-AI-Agent-Systems-with-crewAI

ksm26/Multi-AI-Agent-Systems-with-crewAI

Master the art of designing and organizing AI agents. Learn to automate complex, multi-step business processes by creating specialized AI agent teams using the open-source library crewAI.

Implements agent role-playing with specialized personas, memory systems (short-term, long-term, shared), and tool assignment to enable coordinated workflows. The framework supports serial, parallel, and hierarchical task execution with built-in error handling and hallucination guardrails. Covers practical use cases including resume tailoring, technical content generation, customer support automation, and financial analysis through crewAI's composable agent architecture.

About crewaimaster

VishApp/crewaimaster

CrewAIMaster transforms any task description into a fully functional, production-ready multi-agent system, making advanced AI orchestration accessible to everyone.

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