feat: integrate unified RAG pipeline and bump version to 2.60.0
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/**
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* ============================================================
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* Long-Term Memory (장기 기억)
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*
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* 사용자의 취향, 프로젝트 목표, 반복 규칙, 과거 결정 사항을
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* 영구적으로 저장하고 관리합니다.
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* 저장 위치: {brainPath}/memory/long_term.json
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* ============================================================
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*/
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import * as fs from 'fs';
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import * as path from 'path';
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import * as crypto from 'crypto';
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import { LongTermEntry, LongTermStore, LongTermCategory, MemoryContextResult } from './types';
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export class LongTermMemory {
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private store: LongTermStore;
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private filePath: string;
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private dirty = false;
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constructor(brainPath: string) {
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const memoryDir = path.join(brainPath, 'memory');
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if (!fs.existsSync(memoryDir)) {
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fs.mkdirSync(memoryDir, { recursive: true });
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}
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this.filePath = path.join(memoryDir, 'long_term.json');
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this.store = this.load();
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}
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// ─── Persistence ───
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private load(): LongTermStore {
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try {
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if (fs.existsSync(this.filePath)) {
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const raw = fs.readFileSync(this.filePath, 'utf-8');
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return JSON.parse(raw) as LongTermStore;
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}
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} catch { /* start fresh */ }
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return { version: 1, entries: [], lastUpdated: Date.now() };
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}
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public save(): void {
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if (!this.dirty) return;
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try {
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this.store.lastUpdated = Date.now();
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fs.writeFileSync(this.filePath, JSON.stringify(this.store, null, 2), 'utf-8');
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this.dirty = false;
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} catch { /* silently fail — memory is not critical path */ }
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}
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// ─── CRUD ───
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public addEntry(category: LongTermCategory, content: string, source: string, confidence = 0.8): LongTermEntry {
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const entry: LongTermEntry = {
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id: crypto.randomUUID(),
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category,
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content: content.trim(),
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source,
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confidence,
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createdAt: Date.now(),
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lastReferencedAt: Date.now(),
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referenceCount: 0
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};
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this.store.entries.push(entry);
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this.dirty = true;
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this.save();
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return entry;
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}
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public removeEntry(id: string): boolean {
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const before = this.store.entries.length;
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this.store.entries = this.store.entries.filter((e) => e.id !== id);
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if (this.store.entries.length < before) {
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this.dirty = true;
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this.save();
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return true;
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}
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return false;
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}
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public getAllEntries(): LongTermEntry[] {
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return [...this.store.entries];
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}
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public getEntriesByCategory(category: LongTermCategory): LongTermEntry[] {
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return this.store.entries.filter((e) => e.category === category);
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}
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// ─── Context Building ───
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/**
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* 프롬프트와 관련성이 높은 Long-Term 기억을 반환합니다.
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*/
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public buildContext(currentPrompt: string, maxEntries = 10): MemoryContextResult | null {
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if (this.store.entries.length === 0) return null;
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const promptLower = currentPrompt.toLowerCase();
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const terms = promptLower
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.split(/[^a-z0-9가-힣_]+/g)
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.filter((t) => t.length >= 2);
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// Score entries by relevance to prompt
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const scored = this.store.entries.map((entry) => {
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let score = 0;
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const contentLower = entry.content.toLowerCase();
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for (const term of terms) {
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if (contentLower.includes(term)) score += 2;
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}
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// Boost high-confidence and frequently referenced entries
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score += entry.confidence * 2;
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score += Math.min(entry.referenceCount * 0.5, 3);
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// Recency boost
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const daysSinceRef = (Date.now() - entry.lastReferencedAt) / (1000 * 60 * 60 * 24);
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if (daysSinceRef < 7) score += 1;
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return { entry, score };
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});
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const relevant = scored
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.filter((s) => s.score > 0)
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.sort((a, b) => b.score - a.score)
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.slice(0, maxEntries);
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if (relevant.length === 0) {
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// Still include all rules and goals even without prompt match
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const alwaysInclude = this.store.entries
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.filter((e) => e.category === 'rule' || e.category === 'goal')
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.slice(0, 5);
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if (alwaysInclude.length === 0) return null;
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const content = alwaysInclude
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.map((e) => `- [${e.category}] ${e.content}`)
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.join('\n');
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return {
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layer: 'long-term',
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label: 'Long-Term Memory (사용자 규칙 & 목표)',
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content,
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relevance: 0.5
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};
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}
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// Mark as referenced
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for (const { entry } of relevant) {
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entry.lastReferencedAt = Date.now();
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entry.referenceCount++;
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}
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this.dirty = true;
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const content = relevant
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.map(({ entry }) => `- [${entry.category}] ${entry.content}`)
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.join('\n');
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return {
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layer: 'long-term',
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label: 'Long-Term Memory (사용자 취향 / 규칙 / 결정)',
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content,
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relevance: Math.min(relevant[0]?.score / 10 || 0.5, 1.0)
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};
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}
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// ─── Extraction Helpers ───
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/**
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* 대화 메시지에서 장기 기억 후보를 패턴 매칭으로 추출합니다.
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* LLM 호출 없이 동작합니다.
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*/
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public static extractCandidates(
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messages: Array<{ role: string; content: string }>
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): Array<{ category: LongTermCategory; content: string }> {
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const candidates: Array<{ category: LongTermCategory; content: string }> = [];
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const rulePatterns = [
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/(?:항상|언제나|무조건|반드시)\s+(.{5,80})/g,
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/(?:규칙|rule|원칙)[\s::]+(.{5,120})/gi,
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/(?:앞으로는?|이후에는?|다음부터는?)\s+(.{5,80})/g
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];
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const preferencePatterns = [
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/(?:난|나는|저는|제가)\s+(.{5,60})\s*(?:좋아|선호|원해|싫어|안 ?좋아)/g,
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/(?:prefer|always use|don't use|never use)\s+(.{5,80})/gi
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];
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const goalPatterns = [
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/(?:목표|goal|방향|direction)[\s::]+(.{5,120})/gi,
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/(?:최종\s*목표|궁극적으로|결국에는?)\s+(.{5,80})/g
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];
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const decisionPatterns = [
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/(?:결정|decided|결론|conclusion)[\s::]+(.{5,120})/gi,
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/(?:으로\s*하자|으로\s*가자|으로\s*결정|으로\s*확정)/g
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];
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for (const msg of messages) {
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if (msg.role !== 'user') continue;
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const text = msg.content;
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for (const pattern of rulePatterns) {
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pattern.lastIndex = 0;
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let match;
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while ((match = pattern.exec(text)) !== null) {
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candidates.push({ category: 'rule', content: match[0].trim() });
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}
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}
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for (const pattern of preferencePatterns) {
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pattern.lastIndex = 0;
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let match;
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while ((match = pattern.exec(text)) !== null) {
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candidates.push({ category: 'preference', content: match[0].trim() });
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}
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}
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for (const pattern of goalPatterns) {
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pattern.lastIndex = 0;
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let match;
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while ((match = pattern.exec(text)) !== null) {
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candidates.push({ category: 'goal', content: match[0].trim() });
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}
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}
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for (const pattern of decisionPatterns) {
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pattern.lastIndex = 0;
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let match;
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while ((match = pattern.exec(text)) !== null) {
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candidates.push({ category: 'decision', content: match[0].trim() });
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}
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}
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}
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// Deduplicate by content
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const seen = new Set<string>();
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return candidates.filter((c) => {
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const key = c.content.toLowerCase();
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if (seen.has(key)) return false;
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seen.add(key);
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return true;
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});
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}
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}
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