Alibaba Cloud AgentCore outlines multi-agent collaboration architecture
Alibaba Cloud AgentCore organizes enterprise collaboration through identity, communication, teams and tasks. Human administrators manage teams and Leader Agents, while Worker Agents handle specialized work. Its Task, SubTask and Result model tracks goals, responsibilities, dependencies, deliverables and reviews. AgentLoop uses task and execution data to support observation, evaluation and configuration changes. The report lists five access routes: a Web collaboration client, DingTalk, Feishu, WeCom and the AG-UI protocol.
The report presents a concrete framework for coordinating human specialists and multiple agents while tracking work from planning through delivery and review. It also describes how execution data can be used to evaluate collaboration quality, elapsed time and unit delivery cost.
作者：柳遵飞（翼严）
一张跨业务模块的工单，往往需要多种专业能力共同处理：解释业务规则、核验系统数据、分析异常原因，再将不同环节的结论整理成有依据、可执行的答复。
企业已经积累了业务文档、系统接口和操作规范。让这些积累被 Agent 使用之后，接下来的问题是：如何把不同专业能力组织起来，让它们各司其职、协同推进，并对最终结果负责？
Alibaba Cloud AgentCore 以身份、通信、团队和任务为基础，让专业 Agent 与人类成员共同参与业务协作。 企业可以按职责组合知识、工具、Skill 和模型，用任务系统持续追踪工作，再结合 AgentLoop 评估效果、优化配置。
为什么复杂任务需要专业分工
当一个 Agent 承担的业务范围不断扩大，工具、知识与工作规则也会随之增长。围绕复杂任务，企业通常需要关注三类工程压力。
#Alibaba Cloud AgentCore#AgentLoop#TeamHarness#AgentIdentity#Matrix#AG-UI#DingTalk#Feishu#WeCom