Published • loading... • Updated
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
43 Articles
43 Articles
OpenClaw proves agentic AI works. It also proves your security model doesn't. 180,000 developers just made that your problem.
OpenClaw, the open-source AI assistant formerly known as Clawdbot and then Moltbot, crossed 180,000 GitHub stars and drew 2 million visitors in a single week, according to creator Peter Steinberger. Security researchers scanning the internet found over 1,800 exposed instances leaking API keys, chat histories, and account credentials. The project has been rebranded twice in recent weeks due to trademark disputes.The grassroots agentic AI movement…
·San Francisco, United States
Read Full ArticleRECIT - Launched on January 28, 2026, this Reddit dedicated to artificial intelligence agents offers disquieting and captivating discussions.
·Paris, France
Read Full ArticleCoverage Details
Total News Sources43
Leaning Left5Leaning Right6Center7Last UpdatedBias Distribution39% Center
Bias Distribution
- 39% of the sources are Center
39% Center
L 28%
C 39%
R 33%
Factuality
To view factuality data please Upgrade to Premium




















