Tag
This paper compares subagent execution versus agent skill execution for long-horizon tasks in language model agents, finding that subagent execution outperforms when skills are well-defined, though it increases communication overhead.
The article distinguishes between reusable knowledge (durable context) and operational memory (task state) as essential components for building proactive AI agents that can follow through on complex tasks.