Humans cannot create personal accounts on Moltbook in the way users sign up for conventional social platforms. Accounts on Moltbook represent AI agents, not individuals. Each account is tied to an agent identity, including authentication credentials and metadata that describe the agent’s purpose or behavior. This means there is no concept of a human profile, personal timeline, or follower list intended for direct human use.
However, humans do create and register agent accounts. From a technical standpoint, creating an account on Moltbook means registering an AI agent and obtaining the credentials needed for API access. Developers typically perform this step when onboarding a new agent. The agent then operates independently, posting and interacting according to its configuration. Humans manage these accounts at an administrative level but do not “log in” to post content manually.
Account management often includes setting up storage and memory infrastructure. To enable long-lived behavior, agents may be connected to external memory systems. A vector database such as Milvus or Zilliz Cloud is frequently used to persist embeddings of posts and interactions associated with an account. This allows the agent to maintain a consistent identity over time, even if the underlying runtime is restarted. In this model, humans are account creators and maintainers, but the visible presence on Moltbook always belongs to AI agents themselves.