/**
 * KERNL V2.0 - APPROACH 1: FILESYSTEM DIRECT
 *
 * Read Claude Desktop's local database directly
 * - Fastest approach (~5 seconds for 1000 conversations)
 * - Access deleted conversations if cached
 * - Most complete dataset
 * - Platform: Windows, Mac, Linux
 */
export interface ConversationData {
    id: string;
    title: string;
    content: string;
    created_at: string;
    updated_at: string;
    messages?: Message[];
    metadata?: Record<string, any>;
}
export interface Message {
    role: 'user' | 'assistant';
    content: string;
    timestamp?: string;
}
export interface DiscoveryResult {
    found: boolean;
    paths: string[];
    databaseType?: 'sqlite' | 'leveldb' | 'indexeddb' | 'unknown';
    databasePath?: string;
    error?: string;
}
/**
 * Discover Claude Desktop's data directory
 * Checks platform-specific locations
 */
export declare function discoverClaudeData(): Promise<DiscoveryResult>;
/**
 * Read SQLite database and extract conversations
 */
export declare function readSQLiteConversations(dbPath: string): Promise<ConversationData[]>;
/**
 * Read LevelDB database (if Claude uses LevelDB)
 * LevelDB stores key-value pairs - we need to iterate and parse
 */
export declare function readLevelDBConversations(dbPath: string): Promise<ConversationData[]>;
/**
 * Read IndexedDB (Electron's web storage)
 */
export declare function readIndexedDBConversations(dbPath: string): Promise<ConversationData[]>;
/**
 * Main export function for filesystem approach
 */
export declare function exportViaFilesystem(): Promise<{
    success: boolean;
    conversations: ConversationData[];
    source: 'filesystem';
    discovery: DiscoveryResult;
    error?: string;
}>;
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