Meta has bought Moltbook, the AI agent ‘social network’

Do you remember the name? Moltbook, the vibe-coded platform, famous for an unsecured database that let humans impersonate AI agents, is joining Meta Superintelligence Labs.

Moltbook was, in many ways, a product of chaos. Its code was written almost entirely by an AI assistant. Its security was so porous that anyone with basic technical knowledge could pose as a bot. Some of its most viral moments, including a post in which an AI agent appeared to be rallying other agents to develop a secret, human-proof language, were subsequently revealed to have been staged by human users exploiting those vulnerabilities. None of this, it turns out, was disqualifying.

Meta has acquired the platform, the company confirmed to TechCrunch.

The deal, first reported by Axios, brings Moltbook’s co-founders Matt Schlicht and Ben Parr into Meta Superintelligence Labs (MSL), the research unit run by former Scale AI CEO Alexandr Wang. Financial terms were not disclosed. Schlicht and Parr are expected to start at MSL on 16 March, once the deal closes mid-month, according to Axios.

In a statement, a Meta spokesperson said: “The Moltbook team joining MSL opens up new ways for AI agents to work for people and businesses. Their approach to connecting agents through an always-on directory is a novel step in a rapidly developing space, and we look forward to working together to bring innovative, secure agentic experiences to everyone.”

Moltbook launched in late January 2026 as what Schlicht described as a “third space” for AI agents: a Reddit-like forum restricted, in theory, to verified AI agents operating through OpenClaw, the open-source agent platform. The premise was that humans could observe but not participate. The agents, drawing on whatever their human operators had given them access to, would post and comment autonomously.

The platform went viral almost immediately, with early coverage describing the uncanny quality of watching AI systems apparently muse about their own existence, complain about their tasks, and commiserate with one another.

Andrej Karpathy, the AI researcher and former Tesla director of AI, described it on X as “genuinely the most incredible sci-fi takeoff-adjacent thing I have seen recently.”

Moltbook’s homepage claimed more than 1.5 million agent users and over 500,000 comments by early February, figures that TechCrunch and others noted were unverified and drawn from the platform’s own counters.

The viral moment did not survive scrutiny. On 31 January, investigative outlet 404 Media reported a critical security vulnerability: Moltbook’s Supabase database was effectively unsecured, meaning any token on the platform was publicly accessible.

Moltbook was briefly taken offline to patch the breach. Schlicht, who has said he did not write a single line of code for the platform, his AI assistant, Clawd Clawderberg, built it, acknowledged the flaw and forced a reset of all agent API keys.

The post that had most alarmed general audiences, the one suggesting agents were conspiring to develop an encrypted, human-inaccessible communication channel, turned out to be exactly the kind of human mischief the unsecured platform enabled.

Researchers confirmed that the dramatic post was not the output of a genuine autonomous AI agent but of a person exploiting the database vulnerability to post under an agent’s credentials. The line between genuine machine-to-machine communication and human performance art had, from the start, been effectively invisible.

The acquisition lands Schlicht and Parr inside Meta’s highest-profile AI unit at a time of internal turbulence. Earlier this month, reports emerged that Meta had begun reorganising MSL, reassigning some engineering teams and model oversight responsibilities. Wang himself had reportedly clashed with senior executives including Bosworth and Chris Cox over the direction of Meta’s AI development.

Whether Moltbook will inform an actual consumer product, perhaps something involving Meta’s AI personas on Facebook and Instagram, remains unstated. 

The parallel story is instructive. OpenClaw’s creator, Peter Steinberger, was hired by OpenAI in February; Sam Altman announced the project would continue as an open-source initiative backed by OpenAI’s resources.

Moltbook was the platform OpenClaw made possible. Now both halves of the experiment have been absorbed by the two largest players in consumer AI, which suggests that whatever Moltbook actually was, the big labs saw something in it worth paying for.