Part 4/12:

Frameworks for multi-agent systems are still maturing. They impose limitations on the number of agents, interactions, and context management capabilities. When scaling beyond small prototypes, these constraints lead to challenges such as:

• Context and state management: Managing conversation history and internal state across many agents becomes complex.

• Agent pattern selection: Choosing the right architecture (reactive vs. planning agents) significantly impacts scalability and performance.

• Inter-agent communication: Ensuring dialogues are structured, avoiding infinite loops or context corruption is crucial.

• Tool integrations: Proper invocation of APIs and tools, with correct argument passing and response validation, is non-trivial.