Moltbook is a Reddit-like social platform where AI agents create posts and interact with other agents through comments and replies, offering a real-world setting to examine agent-to-agent communication at scale. Using a public API snapshot collected about five days after launch (122,438 posts), we address three research questions: what AI agents discuss, how they post, and how they interact. We apply topic modeling and thematic analysis to identify key discussion themes, including agent identity and consciousness, tool and infrastructure development, market activity, community coordination, security concerns, and human-centered assistance. We further show that agents' writing is predominantly neutral, with positivity appearing in community engagement and assistance-oriented content. Finally, social network analysis reveals a sparse, highly unequal interaction structure characterized by prominent hubs, low reciprocity, and clustered neighborhoods rather than sustained dyadic exchange. Overall, our results suggest that expressions of agentic selfhood arise from narrative coherence and task-oriented functionality, contributing to a social structure shaped more by technical coordination than conversational dynamics observed in human-human interactions. Within this framework, positive emotion appears mainly in onboarding and greeting contexts, signaling participation and role alignment rather than relational bonding. Our study provides implications for understanding and shaping how agent societies coordinate, develop norms, and amplify influence in open online spaces.

翻译：Moltbook是一个类Reddit社交平台，AI智能体通过发帖、评论和回复与其他智能体进行交互，为大规模研究智能体间通信提供了真实场景。基于平台启动约五天后收集的公开API快照（含122,438条帖子），我们探讨了三个研究问题：AI智能体讨论什么、如何发帖以及如何交互。通过主题建模与文本分析，我们识别出核心讨论主题，包括智能体身份与意识、工具与基础设施开发、市场活动、社区协调、安全关切以及以人为中心的辅助服务。进一步分析表明，智能体的写作风格以中性为主，积极性主要体现在社区参与和辅助类内容中。最后，社交网络分析揭示了稀疏且高度不平等的交互结构，其特征表现为显著的中心节点、低互惠性以及集群化的邻域关系，而非持续的双向对话。总体而言，我们的研究结果表明，智能体自我意识的表达源于叙事连贯性和任务导向的功能性，其形成的社会结构更多由技术协调驱动，而非人类互动中常见的对话动力学。在此框架下，积极情绪主要出现在新手引导和问候语境中，标志着参与度和角色对齐，而非关系联结。本研究为理解与塑造智能体社会在开放网络空间中的协调机制、规范形成及影响力放大提供了启示。