import { MemoryStore } from "../storage/memory-store.js";
import { MemoryEmbeddingStore } from "../storage/memory-embedding-store.js";
import type { Memory, MemoryCategory, MemoryKind } from "../types/index.js";
export interface WorkspaceMemoryHandle {
    name: string;
    dbPath: string;
    memoryStore: MemoryStore;
    memoryEmbeddingStore: MemoryEmbeddingStore;
    close: () => void;
}
export declare function workspaceMemoryDir(name: string): string;
export declare function workspaceMemoryDb(name: string): string;
/**
 * Open (creating if necessary) a workspace memory DB. The first call
 * for a given workspace name creates the directory + applies the
 * schema. Subsequent calls reuse the file.
 */
export declare function openWorkspaceMemory(name: string): WorkspaceMemoryHandle;
export declare function workspaceMemoryExists(name: string): boolean;
/**
 * Discover the workspace (if any) that contains the given project path.
 * Used by MCP tools so `sverklo_remember scope:workspace` knows where
 * to write without the user having to pass a workspace name.
 *
 * Match rule: the project path is exactly one of the workspace's
 * repos[].path, OR it lives under one of them. First match wins.
 * Returns null when no registered workspace contains this project.
 */
export declare function findWorkspaceForPath(projectPath: string): string | null;
export interface AddOptions {
    content: string;
    category?: MemoryCategory;
    kind?: MemoryKind;
    tags?: string[];
}
export declare function addWorkspaceMemory(ws: WorkspaceMemoryHandle, opts: AddOptions): number;
/**
 * FTS-only search over the workspace memory store. Vector search is
 * available too via memoryEmbeddingStore.findTopK once embeddings are
 * populated; this CLI keeps it simple by sticking to FTS so users
 * don't need the ONNX model warm just to grep the team's decisions.
 */
export declare function searchWorkspaceMemory(ws: WorkspaceMemoryHandle, query: string, limit?: number): Memory[];