chore: recovery checkpoint - v3.0 API successfully recovered

CRITICAL CHECKPOINT - DO NOT PUSH TO GITHUB

Recovery Status:
- Successfully recovered brainy.ts from compiled JavaScript
- All core v3.0 API methods functional (add, get, update, delete, relate, find, etc.)
- Neural subsystem intact (562KB embedded patterns, NLP working)
- Augmentation pipeline operational (20+ augmentations)
- HNSW clustering system complete
- Triple Intelligence compiled (needs constructor fix)
- Test suite validates functionality

Changes preserved:
- 898 files with changes from last 3 days
- 144,475 insertions
- All augmentation improvements
- All test coverage enhancements
- Complete v3.0 feature set

This is a LOCAL checkpoint only - contains recovered work after corruption incident.
Created backup in .backups/brainy-full-20250910-151314.tar.gz

Branch: recovery-checkpoint-20250910-151433
Date: Wed Sep 10 03:18:04 PM PDT 2025

.recovery-workspace/dist-backup-20250910-141917/graph/pathfinding.d.ts

@@ -0,0 +1,78 @@
+/**
+ * Advanced Graph Pathfinding Algorithms
+ * Provides shortest path, multi-hop traversal, and path ranking
+ */
+export interface GraphNode {
+    id: string;
+    [key: string]: any;
+}
+export interface GraphEdge {
+    source: string;
+    target: string;
+    type: string;
+    weight: number;
+    metadata?: any;
+}
+export interface Path {
+    nodes: string[];
+    edges: GraphEdge[];
+    totalWeight: number;
+    length: number;
+}
+export interface PathfindingOptions {
+    maxDepth?: number;
+    maxPaths?: number;
+    bidirectional?: boolean;
+    weightField?: string;
+    relationshipTypes?: string[];
+    nodeFilter?: (node: GraphNode) => boolean;
+    edgeFilter?: (edge: GraphEdge) => boolean;
+}
+export declare class GraphPathfinding {
+    private adjacencyList;
+    private nodes;
+    /**
+     * Add a node to the graph
+     */
+    addNode(node: GraphNode): void;
+    /**
+     * Add an edge to the graph
+     */
+    addEdge(edge: GraphEdge): void;
+    /**
+     * Find shortest path using Dijkstra's algorithm
+     * O((V + E) log V) with binary heap
+     */
+    shortestPath(start: string, end: string, options?: PathfindingOptions): Path | null;
+    /**
+     * Find all paths between two nodes
+     * Uses DFS with cycle detection
+     */
+    allPaths(start: string, end: string, options?: PathfindingOptions): Path[];
+    /**
+     * Bidirectional search for faster pathfinding
+     * Searches from both start and end simultaneously
+     */
+    bidirectionalSearch(start: string, end: string, options?: PathfindingOptions): Path | null;
+    /**
+     * Multi-hop traversal (e.g., friends of friends)
+     * Returns all nodes within N hops
+     */
+    multiHopTraversal(start: string, hops: number, options?: PathfindingOptions): Map<string, {
+        distance: number;
+        paths: Path[];
+    }>;
+    /**
+     * Find connected components using DFS
+     */
+    connectedComponents(): Array<Set<string>>;
+    /**
+     * Calculate PageRank for all nodes
+     * Useful for ranking importance in the graph
+     */
+    pageRank(iterations?: number, damping?: number): Map<string, number>;
+    /**
+     * Clear the graph
+     */
+    clear(): void;
+}