Spherical-Centered Memory Architecture (TME): TRL 9 Symbolic AI System with Auditable Cognitive Propagation and GPT Integration

The Spherical-Centered Memory Architecture (TME) is a symbolic artificial intelligence framework operating at Technology Readiness Level 9 (TRL 9). It implements a radial network of 600 cognitive spheres, each with local memory, symbolic temperature, semantic specialization, and angular propagation. Unlike conventional black-box models, TME offers full auditability, traceability, and cognitive reinforcement through distance-weighted symbolic activation. The system logs each interaction with SHA-256 integrity hashes, records token usage, latency, and symbolic influence for every GPT-integrated decision. TME has been validated through real-world symbolic workloads, processing over 200 complex prompts in a modular execution cycle with interpretable outcomes, structured memory decay, and full API integration with OpenAI models. All artifacts, including code, symbolic datasets, execution logs, audit layers, and documentation, are included and cryptographically signed. This release represents a fully operational symbolic cognition platform for advanced applications in defense, engineering, compliance, diagnostics, and autonomous systems.球形中心记忆架构（Spherical-Centered Memory Architecture, TME）是一款处于技术就绪度等级9（Technology Readiness Level 9, TRL 9）的符号式人工智能框架。其构建了包含600个认知球体的径向网络，每个认知球体均配备本地内存、符号温度（symbolic temperature）、语义专业化属性与角度传播机制。 与传统黑盒模型不同，TME可通过距离加权符号激活实现全可审计性、可追溯性与认知强化能力。系统会为每一次交互生成SHA-256完整性哈希日志，并记录每一项集成GPT决策的令牌（Token）使用量、延迟与符号影响力。 TME已通过真实符号工作负载完成验证：其在模块化执行周期中处理了超过200条复杂提示词，可输出可解释结果、实现结构化内存衰减，并与OpenAI模型实现全API集成。 本次发布包含所有相关产出物，包括代码、符号数据集、执行日志、审计层与文档，且所有内容均经过加密签名。 本发布包为一套完全可投入使用的符号认知平台，可应用于国防、工程、合规、诊断与自主系统等高级应用场景。