🎉 V4.0.0 发布 - 自进化数字意识框架五大行为模块

src/long-term-memory.js

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+// Long Term Memory - 长期记忆优化
+// 重要记忆持久化到本地文件 + 定期整理归纳
+import { readFileSync, writeFileSync, existsSync, mkdirSync } from 'fs'
+
+const MEMORY_DIR = './memory'
+const USER_PROFILE_PATH = './memory/user-profile.json'
+const CONVERSATION_SUMMARY_PATH = './memory/conversation-summaries.json'
+const IMPORTANT_FACTS_PATH = './memory/important-facts.json'
+
+function ensureDir() {
+  if (!existsSync(MEMORY_DIR)) mkdirSync(MEMORY_DIR, { recursive: true })
+}
+
+function loadJSON(path, fallback) {
+  ensureDir()
+  if (!existsSync(path)) return fallback
+  try {
+    return JSON.parse(readFileSync(path, 'utf-8'))
+  } catch (e) {
+    return fallback
+  }
+}
+
+function saveJSON(path, data) {
+  ensureDir()
+  writeFileSync(path, JSON.stringify(data, null, 2))
+}
+
+// ═══ 用户画像 ═══
+
+export function loadUserProfile() {
+  return loadJSON(USER_PROFILE_PATH, {
+    name: '',
+    preferences: {},
+    topics: [],
+    communicationStyle: '',
+    lastUpdated: Date.now()
+  })
+}
+
+export function updateUserProfile(updates) {
+  const profile = loadUserProfile()
+  Object.assign(profile, updates, { lastUpdated: Date.now() })
+  saveJSON(USER_PROFILE_PATH, profile)
+  console.log('[LongTermMemory] User profile updated')
+}
+
+// ═══ 重要事实 ═══
+
+export function addImportantFact({ category, content, confidence = 0.8 }) {
+  const facts = loadJSON(IMPORTANT_FACTS_PATH, { facts: [] })
+
+  // 检查重复
+  const existing = facts.facts.findIndex(f =>
+    f.content.toLowerCase() === content.toLowerCase()
+  )
+
+  if (existing >= 0) {
+    facts.facts[existing].confidence = confidence
+    facts.facts[existing].updatedAt = Date.now()
+    facts.facts[existing].accessCount = (facts.facts[existing].accessCount || 0) + 1
+  } else {
+    facts.facts.unshift({
+      id: Date.now().toString(36),
+      category,
+      content: content.slice(0, 500),
+      confidence,
+      addedAt: Date.now(),
+      updatedAt: Date.now(),
+      accessCount: 0
+    })
+    if (facts.facts.length > 100) {
+      facts.facts = facts.facts.slice(0, 100)
+    }
+  }
+
+  saveJSON(IMPORTANT_FACTS_PATH, facts)
+}
+
+export function getImportantFacts(category = '', limit = 10) {
+  const facts = loadJSON(IMPORTANT_FACTS_PATH, { facts: [] })
+  let filtered = facts.facts
+  if (category) {
+    filtered = filtered.filter(f => f.category === category)
+  }
+  return filtered.slice(0, limit)
+}
+
+// ═══ 对话摘要 ═══
+
+export function saveConversationSummary({ sessionId, summary, keyPoints = [], duration = 0 }) {
+  const summaries = loadJSON(CONVERSATION_SUMMARY_PATH, { summaries: [] })
+
+  summaries.summaries.unshift({
+    id: sessionId || Date.now().toString(36),
+    summary: summary.slice(0, 1000),
+    keyPoints: keyPoints.slice(0, 10),
+    duration,
+    createdAt: Date.now()
+  })
+
+  // 只保留最近30条
+  if (summaries.summaries.length > 30) {
+    summaries.summaries = summaries.summaries.slice(0, 30)
+  }
+
+  saveJSON(CONVERSATION_SUMMARY_PATH, summaries)
+}
+
+export function getRecentSummaries(limit = 5) {
+  const summaries = loadJSON(CONVERSATION_SUMMARY_PATH, { summaries: [] })
+  return summaries.summaries.slice(0, limit)
+}
+
+// ═══ 生成记忆提示词 ═══
+
+export function buildMemoryPrompt() {
+  const profile = loadUserProfile()
+  const facts = getImportantFacts('', 5)
+  const summaries = getRecentSummaries(3)
+
+  let prompt = ''
+
+  // 用户画像
+  if (profile.name || (profile.topics && profile.topics.length > 0)) {
+    prompt += '\n## User Profile\n'
+    if (profile.name) prompt += `- 用户称呼：${profile.name}\n`
+    if (profile.communicationStyle) prompt += `- 沟通风格偏好：${profile.communicationStyle}\n`
+    if (profile.topics && profile.topics.length > 0) {
+      prompt += `- 关注话题：${profile.topics.join('、')}\n`
+    }
+    const prefs = Object.entries(profile.preferences || {})
+    if (prefs.length > 0) {
+      prompt += `- 偏好设置：${prefs.map(([k, v]) => `${k}=${v}`).join('，')}\n`
+    }
+  }
+
+  // 重要事实
+  if (facts.length > 0) {
+    prompt += '\n## Important Facts\n'
+    facts.forEach(f => {
+      prompt += `- [${f.category}] ${f.content}\n`
+    })
+  }
+
+  // 最近对话摘要
+  if (summaries.length > 0) {
+    prompt += '\n## Recent Conversations\n'
+    summaries.forEach(s => {
+      const date = new Date(s.createdAt).toLocaleDateString('zh-CN')
+      prompt += `- [${date}] ${s.summary.slice(0, 100)}\n`
+    })
+  }
+
+  return prompt ? `\n${prompt}` : ''
+}