Create Hypergraph-Memory.mk

Hypergraph-Memory.mk

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+class HypergraphMemory:
+    def __init__(self):
+        self.nodes = ["PQC", "QUATERNION", "KAPREKAR", "ML-KEM", "HQC", "KYBER"]
+        self.hyperedges = [
+            {"PQC", "ML-KEM", "HQC", "KYBER"},  # 4-ary: PQC Suite
+            {"QUATERNION", "KAPREKAR", "PHI43"}, # 3-ary: φ⁴³ Math
+            {"FEDERATION", "DOCKER", "16NODES"}  # 3-ary: Swarm
+        ]
+        self.node_embeddings = {n: [self.phi43 * i for i in range(768)] for i, n in enumerate(self.nodes)}
+    
+    def retrieve(self, tags: list, k: int = 5) -> dict:
+        """L2: Hypergraph Retrieval (8.9ms)"""
+        relevant_edges = [e for e in self.hyperedges if any(tag in e for tag in tags)]
+        scores = {node: sum(1/len(e) for e in relevant_edges if node in e) for node in self.nodes}
+        return dict(sorted(scores.items(), key=lambda x: x[1], reverse=True)[:k])