postgres-mcp-tools/server/dist/services/memory-service.d.ts

PostgreSQL-based memory system with vector search capabilities for AI applications, including MCP integration for Claude

/**
 * Add a memory to the database
 *
 * @param conversationId - Unique identifier for the conversation
 * @param userId - Identifier for the user
 * @param content - The content of the memory
 * @param metadata - Additional metadata for the memory
 * @returns The ID of the created memory
 */
export declare const addMemory: (conversationId: string, userId: string, content: string, metadata?: any) => Promise<number>;
/**
 * Search for memories by similarity
 *
 * @param queryText - The text to search for
 * @param limit - Maximum number of results to return
 * @param userId - Optional user ID to filter by
 * @param conversationId - Optional conversation ID to filter by
 * @returns Array of memory objects
 */
export declare const searchMemories: (queryText: string, limit?: number, userId?: string | null, conversationId?: string | null) => Promise<any[]>;
/**
 * Get all memories for a specific conversation
 *
 * @param conversationId - The conversation ID to get memories for
 * @returns Array of memory objects
 */
export declare const getConversationMemories: (conversationId: string) => Promise<any[]>;
/**
 * Delete a memory by ID
 *
 * @param id - The ID of the memory to delete
 * @returns True if the memory was deleted
 */
export declare const deleteMemory: (id: number) => Promise<boolean>;
/**
 * Archive memories older than a certain number of days
 *
 * @param daysToKeep - Number of days to keep memories before archiving
 * @returns Number of memories archived
 */
export declare const archiveOldMemories: (daysToKeep?: number) => Promise<number>;
/**
 * Optimize the vector index for better performance
 *
 * @returns True if optimization was successful
 */
export declare const optimizeVectorIndex: () => Promise<boolean>;