Story新置顶推文解析 先说结论：game-changer ！ 整个视频通过小女孩的一天，从早上起床到晚上休息，AI Agent 始终陪伴在她身边。不只是帮她提醒、创作、陪伴、放音乐，这个 Agent 更像是她的智能伙伴，贯穿生活的方方面面。而这背后，是 Story 的 Agent TCP/IP 技术和 elizaOS 框架在起作用。 通过 Story’s Agent TCP/IP，现在每一个 AI Agent 都能接入 elizaOS 这样的强大框架。简单来说，这让成千上万的代理都能拥有“可编程 IP”。这个 Agent 不仅可以调用外部的知识产权（比如帮小女孩写文章时用到的授权内容），还能分享自己的“学习经验”到更大的生态中。这种互相训练、共享资源的机制背后，是一个基于 StoryProtocol 构建的开放经济：每一次 IP 的调用和使用，都会通过协议自动记录并完成分润，确保所有创作者和参与者的权益。 换句话说，AI Agent 不再只是单独为一个人服务，而是活跃在一个更大的网络中。它们既是小女孩生活中的智能助手，也是更广阔的 IP 经济生态的一部分。这种结合让 AI 既个性化又具有经济价值，让未来的智能生活更加立体。 @StoryProtocol@jasonjzhao@StoryChina_@_kaitoai@BenjaminOnIP IPs and Story <English Verion> Analysis of the new pinned tweet on Story Conclusion first: game-changer ! Have you all seen the new pinned tweet on Story. It is a real game-changer if you read it carefully. The whole video is from Little Girl's Day wakes up to when she goes to bed, the AI Agent is always by her side. It’s not just there to remind her, help her create, accompany her, or play music—it feels more like an intelligent companion that integrates seamlessly into every aspect of her life. Behind this experience lies the power of Story’s Agent TCP/IP technology and the elizaOS framework. With Story’s Agent TCP/IP now supporting the elizaOS framework, every AI Agent can access a robust system of “programmable IP.” This means the agents can not only utilize external intellectual property (like authorized content used to help the girl write an article) but also share their own “learning experiences” with the broader ecosystem. This mutual training and resource-sharing mechanism is underpinned by an open economy built on StoryProtocol. Every IP interaction—whether it’s being used or trained on—is automatically recorded and monetized through the protocol, ensuring that all creators and participants are fairly compensated. In other words, AI Agents are no longer limited to serving a single individual. They are active participants in a larger network. These agents are not just personal assistants in the girl’s daily life but also integral players in a broader IP economy. This combination allows AI to be both highly personalized and economically valuable, painting a vivid picture of a more dynamic and interconnected future powered by intelligent systems.
