Learn from João Moura, the founder and CEO of crewAI, and explore the key components of multi-agent systems:
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Role Assignment: Assign dedicated roles to agents
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Memory: Provide agents with short-term, long-term, and shared memory
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Tools: Allocate pre-built and custom tools to each agent (e.g., tools for web searches)
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Focus: Decompose tasks, goals, and tools, and allocate them to multiple AI agents to enhance performance
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Guardrails: Effectively handle errors, hallucinations, and infinite loops
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Collaboration: Execute tasks in serial, parallel, and hierarchical ways
References:
[1] Multi AI Agent Systems with crewAI: https://www.deeplearning.ai/short-courses/multi-ai-agent-systems-with-crewai/