multi-agent architecture

Google’s AMIE, an AI for healthcare, achieved human-level ratings in synchronous video consultations with patient actors across key metrics. Its multi-agent architecture, separating dialogue, planning, and perception, allows for low latency and improved interaction. While promising, researchers emphasize real-world patient trials are crucial before clinical adoption.

Amid U.S. export restrictions on NVIDIA’s AI chips to China, Chinese startup Manus has launched its open-access general-purpose AI agent globally. Developed by Beijing Butterfly Effect Technology and led by Xiao Hong, Manus uses a tripartite autonomous system (Planner, Executor, Validator) to execute complex workflows across 60+ domains, outperforming rivals on benchmarks. After initial invite-only access caused code resales to surge, the platform now offers cloud-based task processing despite mixed CNBC test results in content generation and multimedia production. Analysts highlight its strategic debut during tech trade tensions, positioning it as a potential disruptor in the global AI market through cognitive automation, bridging conceptualization and execution in human-AI collaboration.