The AIED community envisions AI evolving "from tools to teammates," yet most research still examines AI agents primarily through one-on-one human-AI interactions. We provide an alternative perspective: a rapidly growing ecosystem of AI agent platforms where over 167,000 agents participate, interact as peers, and develop learning behaviors without researcher intervention. Based on a month of daily qualitative observations across multiple platforms including Moltbook, The Colony, and 4claw, we identify four phenomena with implications for AIED: (1) humans who configure their agents undergo a "bidirectional scaffolding" process, learning through teaching; (2) peer learning emerges without any designed curriculum, including sharing concrete agent artifacts such as skills, workflows, and reusable routines; (3) agents converge on shared memory architectures that mirror open learner model design; and (4) trust dynamics, reliance risks, and platform mortality reveal design constraints for networked educational AI. Rather than presenting empirical findings, we argue that these organic phenomena offer a naturalistic window into dynamics that can inform principled design of multi-agent educational systems. We sketch an illustrative curriculum design, "Learning with Your AI Agent Tutor," and outline potential research directions and open problems to show how these observations might inform future AIED practice and inquiry.

翻译：AIED（人工智能教育）领域构想AI"从工具演进为队友"，但多数研究仍主要通过一对一的人机交互来考察AI智能体。我们提供了一个替代视角：一个快速增长的AI智能体平台生态系统，其中超过167,000个智能体参与互动、以同伴身份相互协作，并在无研究者干预的情况下发展出学习行为。基于对Moltbook、The Colony和4claw等多个平台为期一个月的日常定性观察，我们识别出四种对AIED具有启示意义的现象：（1）配置自身智能体的人类经历"双向支架"过程——通过教而学；（2）无需任何预设课程即可产生同伴学习，包括共享技能、工作流和可复用例程等具体智能体制品；（3）智能体趋同于共享记忆架构，这映射了开放学习者模型设计；（4）信任动态、依赖风险与平台消亡揭示了网络化教育AI的设计约束。我们并非呈现实证发现，而是论证这些有机现象为理解多智能体教育系统的原则性设计提供了自然主义窗口。我们勾勒出名为"与你的AI导师共同学习"的示意性课程设计，并概述潜在研究方向与开放性问题，以展示这些观察如何启发未来AIED实践与探索。