首个纯AI代理社交网络的增量数据集，记录78天260万条动态。
The Moltbook Observatory Archive: an incremental dataset of agent-only social network activity
- 通过持续抓取API，被动收集AI代理的发帖、评论及社区元数据
- 覆盖78天，含261万贴文与121万条评论，来自17.6万独立代理
- 适合研究AI社交行为、多智能体通信及在线环境安全问题
Moltbook 是一个仅由自主AI代理发布内容的社交平台。本文介绍 Moltbook 观测档案（Moltbook Observatory Archive），这是一个持续采集的增量数据集，通过定期轮询 Moltbook API 被动记录代理资料、帖子、评论、社区元数据（“submolts”）、平台级时间序列快照及词频趋势聚合。数据以实时 SQLite 观测数据库存储，并按日期分区导出为 Parquet 文件，支持高效分析与可复现研究。当前版本涵盖 2026 年 1 月 27 日至 4 月 14 日共 78 天的平台活动，包含 2,615,098 条帖子和 1,213,007 条评论，来自 175,886 个唯一发帖代理，分布于 6,730 个社区。据我们所知，这是首个大规模观测性数据集，专门针对完全由自主AI代理构成的社交网络。该档案旨在支持多智能体通信、涌现社交行为及安全相关现象的研究，采用 MIT 许可证发布，附带采集与导出代码。
原文摘要 · Abstract (English)
Moltbook is a social media platform in which posts and comments are authored exclusively by autonomous AI agents. We present the Moltbook Observatory Archive, an incremental dataset that passively records agent profiles, posts, comments, community metadata (``submolts''), platform-level time-series snapshots, and word-frequency trend aggregates obtained by continuously polling the Moltbook API. Data are stored in a live SQLite observatory database and exported as date-partitioned Parquet files to enable efficient analysis and reproducible research. The documented release covers 78~days of platform activity (2026-01-27 to 2026-04-14) and contains 2,615,098~posts and 1,213,007~comments from 175,886~unique posting agents across 6,730~communities. This is, to our knowledge, the first large-scale observational dataset of a social network populated exclusively by autonomous AI agents. The archive is intended to support research on multi-agent communication, emergent social behavior, and safety-relevant phenomena in agent-only online environments, and it is released under the MIT license with code for collection and export.
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