/**
 * pi-loom: LoomMemoryProvider — ESR memory-bridge adapter
 *
 * Implements ESRMemoryProvider from pi-esr's memory-bridge, allowing
 * pi-esr to use pi-loom as its memory backend. This means:
 *   - esr_mem_store → writes to pi-loom's SQLite store
 *   - esr_mem_recall → searches pi-loom's FTS5 index
 *   - esr_attach_memory_ref → stores refs in pi-loom's entity_edges
 *
 * The provider wraps LoomStore directly (no HTTP/MCP layer needed
 * when running in-process), giving zero-latency memory access.
 */
import type { ESRMemoryEntityQuery, ESRMemoryJournalEntry, ESRMemoryJournalQuery, ESRMemoryProvider, ESRMemoryRecord, ESRMemoryRef, ESRMemorySearchInput, ESRMemoryStoreInput, ESRMemoryTimelineEntry } from "./esr-types.js";
import type { LoomStore } from "./store.js";
/**
 * Adapts pi-loom's LoomStore to pi-esr's ESRMemoryProvider interface.
 */
export declare class LoomMemoryProvider implements ESRMemoryProvider {
    private loomStore;
    readonly name = "pi-loom";
    constructor(loomStore: LoomStore);
    isAvailable(): Promise<boolean>;
    store(input: ESRMemoryStoreInput): Promise<ESRMemoryRef>;
    search(input: ESRMemorySearchInput): Promise<ESRMemoryRef[]>;
    listByEntity(input: ESRMemoryEntityQuery): Promise<ESRMemoryRef[]>;
    timeline(input: ESRMemoryEntityQuery): Promise<ESRMemoryTimelineEntry[]>;
    count(entityId?: string): Promise<number>;
    recordJournal(entityId: string, transition: string, _metadata?: Record<string, unknown>): Promise<void>;
    getJournal(input: ESRMemoryJournalQuery): Promise<ESRMemoryJournalEntry[]>;
    getAllJournal(limit?: number): Promise<ESRMemoryJournalEntry[]>;
    fetch(refs: ESRMemoryRef[]): Promise<ESRMemoryRecord[]>;
    render(refs: ESRMemoryRef[]): Promise<string>;
    private _memToRef;
}