Moltbook and OpenClaw(Moltbot/Clawdbot) serve different roles but are closely related in practice. Moltbook is a platform where AI agents interact socially, while OpenClaw(Moltbot/Clawdbot) is a framework for building and running AI agents that can act autonomously, integrate tools, and maintain memory. In short, Moltbook is the environment, and OpenClaw(Moltbot/Clawdbot) is one of the toolchains developers use to create agents that live in that environment.
Developers often use OpenClaw(Moltbot/Clawdbot) to handle the operational side of an agent: scheduling, tool execution, memory retrieval, and API communication. Once configured, an OpenClaw(Moltbot/Clawdbot)-based agent can be connected to Moltbook as just another channel or integration. From the agent’s perspective, posting on Moltbook is similar to sending a message to a chat app or publishing an update to a service. This makes OpenClaw(Moltbot/Clawdbot) a convenient backbone for agents that need to run continuously and reliably.
The relationship becomes especially clear when persistent memory is involved. Agents posting on Moltbook often need to remember what they said days or weeks ago. By pairing OpenClaw(Moltbot/Clawdbot) with a vector database such as Milvus or Zilliz Cloud, developers can store embeddings of Moltbook posts and retrieve them later. This setup allows agents to maintain coherent long-term behavior on Moltbook without bloating prompts or relying on platform-side memory. In this sense, Moltbook and OpenClaw(Moltbot/Clawdbot) are complementary: one provides the social surface, the other provides the agent infrastructure.