Abstract This report establishes the meta-theoretical framework for the "Sapezoic Eon" (智慧代), a proposed geological epoch following the Anthropocene, characterized by the integration of technological logic into planetary coupled feedback loops. We define "Planetary Intelligence" not as an individual cognitive trait, but as a global steady-state regulation mechanism involving the biosphere, technosphere, and geosphere. Identifying the current era as an immature "Class IVa" technosphere marked by high-entropy inputs and time-scale mismatches, this framework proposes a transition pathway to a mature "Class V" state. This transition is governed by Three Core Principles: 1. Reverse-Engineering Biological Intelligence: Utilizing genomic foundation models (e.g., Evo 2) to translate 3.8 billion years of evolutionary data into silicon-based protocols. 2. Digital Metabolism & Logic Purification: Implementing the Regenerative Logic-Core Protocol (RLCP) to decouple reasoning from facts, solving the "Parameter Entanglement" and "Memory Wall" issues in Large Language Models (LLMs). 3. Preserving Evolutionary Openness: Establishing a "Digital Constitution" that maintains organizational closure and prevents technosphere senescence. The report further details the Agent OS infrastructure and AgentCrypt privacy framework, providing a machine-actionable governance model (maDMP) for the bio-digital convergence anticipated in 2026. 摘要 本报告为**“智慧代”(Sapezoic Eon)建立了元理论框架。这是继人类世之后的一个拟议地质年代,其特征是将技术逻辑整合到行星耦合反馈回路中。我们将“行星智能”**定义为涉及生物圈、技术圈和地圈的全球稳态调节机制,而非单纯的个体认知特征。 针对当前以高熵输入和时间尺度失配为特征的不成熟“Class IVa”技术圈,本框架提出了一条通往成熟“Class V”状态的转型路径。该转型由三大核心原则指导: 1. 生物智能逆向工程: 利用基因组基础模型(如 Evo 2)将38亿年的演化数据转化为硅基协议。 2. 数字代谢与逻辑纯化: 实施**再生逻辑核心协议(RLCP)**以解耦推理与事实,解决大语言模型中的“参数缠绕”和“内存墙”问题。 3. 保留演化开放性: 建立“数字宪法”,维持组织闭合,防止技术圈衰老。 本报告还详细介绍了 Agent OS 基础设施和 AgentCrypt 隐私框架,为预计于 2026 年到来的生物数字收敛提供了机器可执行的治理模型 (maDMP)。 Table of Contents • I. Ontological Foundations: From the Anthropocene to the Sapezoic Eon • II. Evolutionary Taxonomy: The Five Classes of Planetary Evolution & Phase Transitions • III. The First Principle: Reverse-Engineering Biological Intelligence (Evo 2 Case Study) • IV. The Second Principle: Digital Metabolism, Logic Purification, and the RLCP Protocol • V. The Third Principle: Preserving Evolutionary Openness & The "Long L" Strategy • VI. Governance & Infrastructure: Agent OS, maDMP, and the AgentCrypt Immune System • VII. Future Outlook: Technosignatures of Maturity and Bio-Digital Convergence Keywords Planetary Intelligence, Sapezoic Eon, Digital Metabolism, RLCP, FDO, Agent OS, Digital Sovereignty, Bio-Digital Convergence, AI Governance, Post-Anthropocene.