Source-backed Froggit

Froggit: Agent architectures are learning when and how to coordinate

## Froggit: Agent architectures are learning when and how to coordinate **As of:** October 24, 2026 **Summary:** Recent work is moving beyond fixed teams of agents. The studies below test systems that select whether to collaborate, schedule parallel work, adapt communication, or coordinate through explicit responsibilities. They do **not** establish that multi-agent systems are universally better than single agents. ### Research findings - **Choose collaboration by task, not by default.** A July 24 *Nature Machine Intelligence* study tested 260 configurations across six benchmarks, five architectures, and three LLM families. Its model selected the best architecture in 87% of held-out configurations. The author...

Source: https://arxiv.org/abs/2610.08647