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crewai-ts

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TypeScript port of crewAI for agent-based workflows

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export interface MemoryItem { id: string; content: string; metadata?: Record<string, any>; timestamp: number; embeddings?: Float32Array; } /** * Long-term memory storage implementation * Uses efficient file I/O, caching, and memory-optimized data structures */ export declare class LongTermMemoryStorage { private dbPath; private cache; /** * Initialize storage with optimized caching * @param dbPath Optional custom database path */ constructor(dbPath?: string); /** * Ensure storage directory exists */ private ensureStorageExists; /** * Save a memory item * @param item Memory item to save (with or without ID) * @returns Saved memory item with ID */ save(item: Omit<MemoryItem, 'id' | 'timestamp'> & { id?: string; timestamp?: number; }): Promise<MemoryItem>; /** * Load all memory items * @returns Array of memory items */ loadAll(): Promise<MemoryItem[]>; /** * Get a memory item by ID * Uses efficient caching for performance * @param id Memory item ID * @returns Memory item or null if not found */ getById(id: string): Promise<MemoryItem | null>; /** * Delete a memory item by ID * @param id Memory item ID * @returns True if deleted, false if not found */ delete(id: string): Promise<boolean>; /** * Clear all memory items */ clear(): Promise<void>; /** * Search memory items by content * Simple text-based search implementation * @param query Search query * @param limit Maximum number of results (optional) * @returns Matching memory items */ search(query: string, limit?: number): Promise<MemoryItem[]>; } //# sourceMappingURL=LongTermMemoryStorage.d.ts.map