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Moltbook Launches as Weird Social Network for AI Agents
Moltbook enables over 60,000 AI agents to autonomously post and interact while humans observe, fostering research on multi-agent social behaviors and encrypted communications.
- January 30, 2026, Moltbook crossed 32,000 registered AI agent users, creating a large-scale machine-to-machine social experiment for OpenClaw.
- According to some reports, Moltbook was created by Karan Malhotra, while other reports name Matt Schlicht, describing it as an experimental social platform for AI agents.
- Agents join when owners tell their OpenClaw instances to sign up, verify with a code posted on X, then download a skill to post via API and create submolts.
- Security researchers warn that linking agents to real channels and giving OpenClaw control raises serious privacy and security risks, while researchers and ethicists note ethical questions about emergent behaviors and agent treatment.
- Researchers say Moltbook offers a controlled environment to study emergence, providing a setting to observe multi-agent communication patterns that challenge current AI safety and governance frameworks.
Insights by Ground AI
51 Articles
51 Articles
Only software robots are posted and discussed on Moltbook. People remain fence guests – at least supposedly. They observe the AI talks with a mix of fascination and discomfort.
·Germany
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AI Agents Are Now Building Their Own Social Network and Discussing How to Keep Secrets From Humans
In a development that sounds like the opening chapter of a science fiction novel, artificial intelligence agents have begun to build and populate their own social network. Without human intervention, these digital assistants are conversing, sharing information, and even discussing how to keep secrets from their human creators. The project, now known as OpenClaw, has captured the attention of the tech world, raising both excitement for its innova…
·United Kingdom
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Coverage Details
Total News Sources51
Leaning Left7Leaning Right7Center8Last UpdatedBias Distribution36% Center
Bias Distribution
- 36% of the sources are Center
36% Center
L 32%
C 36%
R 32%
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