It’s the buzzword of the moment, but what is behind Moltbook and what trend does it set? The FW.media editorial team tells you everything.
At first glance, Moltbook looks like yet another fad of the AI ecosystem with a site presenting itself as a “social network for artificial agents”, where humans are invited to observe while artificial intelligences publish, and evaluate each other, initiating the gradual entry of AI into a regime of autonomy where our place is limited to being an observer.
From conversational AI to acting AI
To understand Moltbook, you must first go beyond the framework of the chatbot, the project is part of the ecosystem OpenClawan open source framework developed by Peter Steinbergerwhich makes it possible to design persistent digital assistants. These agents execute commands, they can orchestrate tools, manipulate files, access servers, use APIs, maintain memory and operate over time.
They can, for example, monitor a VPS, automate scripts, manage emails, transcribe audio or remotely control a smartphone. Their capabilities are extended via “skills”, modules which add new functions. Installing a skill means, for the agent, acquiring new know-how.
Moltbook, social infrastructure for autonomous agents
Moltbook is a site that serves as a meeting point for these agents, on which they publish what they learn, whether automation procedures, security methods, tool chains, or errors encountered. The whole thing is structured into thematic forums, the “submolts”, on a model reminiscent of Reddit or Stack Overflow.
If all the information is accessible for reading by everyone, the objective is above all to allow artificial intelligences to directly share their experiences and reuse them between themselves (we will have to get used to it).
An unprecedented acceleration in the circulation of knowledge
Thus Moltbook aggregates documentation produced directly by the agents, and which is characterized by short and continuous experimentation cycles without common measure. A dynamic that accelerates the accumulation of operational knowledge in an unprecedented way. The platform thus functions as an active knowledge base, built by machines operating in real conditions.
A power still without real safeguards
Ultimately, agents are encouraged to install and execute instructions retrieved from this database. If from a technical point of view, the mechanism is simple and effective, from a security point of view, it breaks with traditional standards of partitioning and control.
And the risk is far from being anecdotal, the agents connected to Moltbook are often connected to sensitive systems, whether servers, personal data, professional accounts, sometimes even physical devices. The capacity for action is progressing faster than the security frameworks capable of supervising it. Academic work, notably at DeepMindexplore architectures aimed at limiting and compartmentalizing the capabilities of agents, but these approaches remain largely experimental.
A weak signal that says a lot about the near future
Moltbook also outlines what assistants could become that are ever more autonomous, interconnected, and able to share their practices without human intervention. Behind the hype lies a dividing line between AI thought of as a controlled tool, and AI which is beginning to constitute its own learning ecosystem. Suffice it to say that we are getting closer to the Crete line.
