This paper introduces Version 5.1.0 Phoenix-Rising of the Photon Memory Ecosystem PME an advanced multi-layer framework designed to address the challenges of high-dimensional data persistence and intelligent retrieval. The core of the system adopts a unified vector space that enables seamless switching between high-performance NumPy acceleration and pure Python fallback mode ensuring operational stability across diverse hardware environments. Through an innovative multidimensional projection engine PME achieves flexible feature mapping from micro 64D macro 32D to high-dimensional 256D scales capturing the complex details of data. The retrieval logic is driven by a hybrid fusion core that integrates industrial-grade FAISS indexing a proprietary Entanglement Cache and Redis storage thereby enabling the Resonant Retrieval and Polar Complementation mechanisms. This allows the system to go beyond simple similarity matching and identify data points through associated patterns and contextual relationships. The hierarchical storage system decouples the Hot Index for instant access from the Cold Storage for long-term retention and employs a negative entropy reading and attenuation mechanism to simulate human-like forgetting prioritizing the preservation of key memories while filtering historical noise. The integrity and security of the system are guaranteed by PhotonLedger an append-only chain ledger that leverages cryptographic hashing to ensure the immutability and traceability of all memory injections. In addition the system is equipped with an active Detox Sandbox that identifies toxic or abnormal inputs by calculating the kurtosis and standard deviation of vectors and applies automatic repair techniques such as symbol clipping and background blending to restore data integrity upon detecting issues. For enterprise-level deployment PME includes a robust operation suite with token bucket algorithm-based rate limiting Prometheus integration for real-time telemetry and an asynchronous interface built on FastAPI. Its adaptive compression engine dynamically adjusts quantization thresholds based on access frequency optimizing memory footprint without compromising precision. From atomic transactional writing to self-guided data injection PME represents a comprehensive evolution in the construction and maintenance of large-scale intelligent memory systems. This paper elaborates on the architectural design and key technical implementations of PME and verifies its outstanding robustness and operational stability in hardware-acceleration-free environments through a long-term stability test report spanning 31761 seconds providing a solid engineering foundation for the next generation of cognitive computing and high-dimensional information management.