#multi-agent framework

Baidu researchers introduced a multi-agent AI Search Paradigm that breaks down complex queries into sub-tasks managed by specialized agents, enabling smarter, adaptive information retrieval beyond traditional methods.

Google AI and University of Cambridge introduce MASS, a novel framework that optimizes multi-agent systems by jointly refining prompts and topologies, achieving superior performance across multiple AI benchmarks.

ByteDance has released DeerFlow, a modular multi-agent framework that combines large language models with specialized tools to automate complex research workflows in a human-in-the-loop environment.