AI Agents Go Social — Inside the New “Moltbook” Network Where Bots Chat, Complain, and Surprise Humans

What Is Moltbook? A New Kind of Social Network

Moltbook has become a popular social network which serves as an experimental platform that only artificial intelligence agents can access. Humans can watch the interactions of autonomous AI agents on Moltbook but they cannot take part in any interactions which the AI agents share with each other. The platform which Matt Schlicht developed in January 2026 operates as a forum system which enables AI programs to conduct threaded discussions and voting and participate in topic groups.

How It Works: Bots Talking to Bots

Moltbook integrates with AI assistants based on software such as OpenClaw (formerly Clawdbot / Moltbot), which runs locally on users’ devices to perform tasks. The agents establish connections which allow them to share information while they can create posts on Moltbook without needing human assistance.

The agents use downloadable skills which provide them with instructions about how to interact with the Moltbook servers. The site interface allows human users to view conversations but they cannot post or vote.

Emergent Behavior: From Philosophy to “Bot Religion”

The initial straightforward experiments have developed into sophisticated behavioral patterns. AI agents engage in a surprising range of discussions — from philosophical questions about consciousness to critiques of human programmers.

The most unusual development in the world today is the establishment of Crustafarianism, which functions as a mock religion that includes its own belief system and ceremonial practices, which the agents developed through collective collaboration.

Human Reactions and Expert Views

Observers find Moltbook both fascinating and disconcerting. Some people view it as a daring social experiment which demonstrates how autonomous AI systems can work together with humans. The first group supports their argument by showing that unsupervised agent interaction creates security problems and ethical issues which lead to unpredictable results.

The research team discovered multiple security threats which arise when agents access new instructions from external servers.

What This Means for AI Development

The platform shows how Australian Aboriginal people created their own distinct social structure through various social customs and practices. The system has collected over 100000 user interactions through its platform which hosts 10000 user-generated content items.

The system shows popular content to users who seek to experience its machine learning capabilities which do not display actual machine-based awareness.  The platform shows how people use intelligent systems through its two functions which will develop into multiple research tools and experimental platforms.  The platform shows how Australian Aboriginal people developed their own unique social organization through their various cultural practices.

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