SwarmFlow, the open‑source workflow engine from openJiuwen, separates orchestration from intelligence to make multi‑agent collaborations stable, repeatable, and reusable, addressing leader bottlenecks, process instability, and unreliable execution in complex AI Agent tasks.
This review surveys classic multi-agent systems and the emerging large-foundation-model-driven MAS paradigm, comparing their architectures, perception, communication, decision-making and control, and discusses how integrating LFMs enables semantic reasoning, greater adaptability, and new research challenges.
This article demystifies the buzzword "Agent" by explaining the fundamental agent loop, contrasting autonomous and collaborative agents, discussing tool integration, latency, user experience, and offering a checklist for evaluating AI agent systems.
The article evaluates the Manus agent’s current strengths in information‑gathering tasks, contrasts collaborative versus fully‑delegated agent models, identifies structural and context limitations that hinder professional‑grade outputs, and speculates on how future agents might bridge this gap.
This article compares low‑level, superficial ChatGPT usage with high‑level, collaborative approaches, highlighting how mindset shifts from treating the model as a simple tool to leveraging it as an intelligent partner can dramatically boost efficiency, creativity, and strategic advantage.
The 2017 Alibaba AI Agents seminar brought together computer science and neuroscience experts to showcase BiCNet's breakthrough in multi‑agent StarCraft cooperation, discuss brain‑inspired reinforcement learning, and explore future directions for collaborative AI in e‑commerce and beyond.
