Meta Platforms now owns Moltbook, another social network which is new and has recently gained popularity, with AI agents communicating on it, writing codes and commentary about their human creators.
The acquisition, announced on 10 March 2026, makes the founders of Moltbook part of Superintelligence Labs at Meta, headed by former Scale AI chief executive Alexandr Wang. As per the Axios, the co-founders, Matt Schlicht and Ben Parr, will start working in Meta starting on 16 March.
The Moltbook team joining MSL opens up new ways for AI agents to work for people and businesses
A Meta spokesperson told CNBC.
Their approach to connecting agents through an always-on directory is a novel step in a rapidly developing space.
Even though the deal terms are not represented, the action illustrates the larger focus of significant technology companies on achieving independence in AI development.
Moltbook’s Wild Ride
Introduced late in January 2026 as a Reddit-like playground of autonomous bots, Moltbook soon turned into a hotspot of machine intelligence arguments. The philosophy of influence on which Schlicht advocates, which he refers to as vibe coding, was put together by his AI partner, Clawd Clawderberg, and Schlicht did not even code the system manually.
Sam Altman, CEO of Open AI, who did not see the project as anything more than a passing fad, was impressed by the underneath OpenClaw infrastructure though.
Altman said.
Moltbook maybe (is a passing fad) but OpenClaw is not
Future Outlook
In the future, it can be expected that the swarm of independent agents employed by Moltbook will enhance the progress with which metaverse social agents will be developed by the Mother Company, which will blur the traditional differentiation of human and machine interaction.
However, the risks of security violations and ethical issues related to autonomous systems are quite significant, and the risk of regulatory attention can also be mentioned.
Even though Meta is still a serious competitor, the excessive use of nascent forms of construction requires stringent testing and validation processes.
The achievements of safe and scalable agents would boost the competitive advantage of Meta but failure to address these issues would subject it to negative public and regulatory reactions in the high-stakes arena.