/**
 * Document-memory search — pure-TS chunked TF scoring (no native deps).
 *
 * Chunks of ~1600 chars with 320 overlap; term-frequency scoring reusing
 * the session-search tokenizer; TEMPORAL DECAY applies ONLY to session-log
 * chunks (half-life 7 days) — curated global/workspace/trading files are
 * long-term knowledge and never decay. Old session hits carry a staleness
 * note so the model verifies before trusting. An mtime-keyed cache keeps
 * re-index cost at zero for unchanged files.
 */
import { type MemoryFileRef } from './store.js';
export declare const CHUNK_CHARS = 1600;
export declare const CHUNK_OVERLAP = 320;
export declare const SESSION_HALF_LIFE_DAYS = 7;
export interface MemoryHit {
    file: string;
    scope: MemoryFileRef['scope'];
    snippet: string;
    score: number;
    /** Present on old session hits — surfaced verbatim to the model. */
    stalenessNote?: string;
}
export declare function resetMemoryIndexCache(): void;
export declare function searchMemory(query: string, workDir: string, opts?: {
    limit?: number;
    minScore?: number;
}): MemoryHit[];
/** Compact context block for prompt injection; ~1.5k-token budget. */
export declare function formatMemoryContext(hits: MemoryHit[], budgetChars?: number): string;