With the core principles of multi-agent LLM systems established, this chapter focuses on the design and definition of the individual agents that form these systems. We will examine how to imbue agents with specific characteristics, knowledge, and capabilities, moving from a system-level overview to the intricacies of agent-specific development.

You will learn to:

• Develop distinct agent personas and assign specialized functions within a multi-agent system.
• Structure knowledge and manage information access mechanisms for individual agents.
• Implement various memory architectures, including short-term and long-term memory, to enhance agent contextual awareness and learning.
• Integrate external tools and enable function-calling capabilities to extend agent actions beyond text generation.
• Analyze different agent organization models, such as hierarchical and collaborative structures, to determine suitable team configurations.
• Implement strategies for dynamic role allocation, allowing agents to adapt to changing task requirements.
• Design agent architectures that support system scalability and efficient resource utilization.
• Gain practical experience by constructing a foundational LLM agent with a defined role and specific operational function.

By the end of this chapter, you will have a clear understanding of how to architect individual agents, equipping them with the necessary attributes for sophisticated collaboration and task execution within a larger multi-agent framework.