This research-grade blockchain implementation pushes the boundaries of distributed ledger technology with novel algorithmic innovations. Built entirely in Go for performance and concurrency, the system features an Adaptive Merkle Forest data structure that optimizes storage and verification compared to traditional Merkle trees. The hybrid consensus mechanism combines Proof-of-Work for Sybil resistance with Byzantine Fault Tolerance (BFT) for fast finality, achieving both security and throughput. Verifiable Random Functions (VRF) ensure fair and unpredictable leader selection, while vector clocks maintain causal ordering across distributed nodes. The dynamic CAP theorem optimization allows the network to adaptively prioritize consistency or availability based on network conditions. Entropy-based validation adds an additional security layer against certain attack vectors. A web-based UI provides network visualization, transaction exploration, and node management capabilities.