How can agents, Sims, and Assistants work together?
Agents Are Not Enough
This paper argues that simply improving the capabilities of individual AI agents is insufficient for widespread adoption. It proposes an ecosystem of interacting components: specialized Agents for specific tasks, Sims representing user preferences and behaviors, and Assistants coordinating Sims and Agents to perform complex tasks on behalf of the user. For LLM-based multi-agent systems, key takeaways include the need for improved generalization, scalability, coordination, robustness, and ethical design of agents, and the importance of personalization, trust, and social acceptability in the broader agent ecosystem. Caching agent workflows and hybrid architectures combining small and large language models are suggested for improving scalability.