feat(web): user memory detail
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@@ -1304,6 +1304,23 @@ export const zh = {
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growth_trajectory: '成长轨迹',
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personality: '性格特点',
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core_values: '核心价值观',
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Statement_emotion_keywords: '情感关键词',
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Statement_emotion_type: '情感类型',
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Statement_emotion_subject: '情感主体',
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Statement_importance_score: '重要性评分',
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ExtractedEntity_description: '描述',
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ExtractedEntity_name: '内容',
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ExtractedEntity_entity_type: '类型',
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ExtractedEntity_created_at: '创建时间',
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ExtractedEntity_aliases: '别名',
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ExtractedEntity_connect_strngth: '连接强度',
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ExtractedEntity_importance_score: '重要性评分',
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associative_memory: '关联记忆',
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unix: '个',
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completeMemory: '完整记忆',
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},
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space: {
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createSpace: '创建空间',
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@@ -2282,5 +2299,75 @@ export const zh = {
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last_access_time: '最后激活时间',
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activation_value: '当前激活值',
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},
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episodicDetail: {
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title: '记录你真实经历过的每一个重要场景',
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total_all: '情景记忆总数',
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all: "全部",
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today: '今天',
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this_week: '本周',
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this_month: '本月',
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conversation: "对话",
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project_work: "项目/工作",
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learning: "学习",
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decision: "决策",
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important_event: "重要事件",
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titleKeywordPlaceholder: '搜索情景标题或内容',
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curResult: '当前筛选结果',
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unix: '条',
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created: '发生时间',
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episodic_type: '情景类型',
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involved_objects: '涉及对象',
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content_records: '情景内容记录',
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emotion: '情绪与状态记录',
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},
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implicitDetail: {
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title: '那些塑造了我的无形力量',
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preferences: '我的潜意识偏好',
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preferencesDetail: '的联想网络',
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portraitTitle: '我的潜意识画像',
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portraitSubTitle: '基于您的偏好标签,AI为您生成的个性化洞察',
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portrait: '核心特质',
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aesthetic: '审美驱动',
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creativity: '创造性思维',
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literature: '文化敏感度',
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technology: '技术亲和力',
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interestAreas: '兴趣领域分布',
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art: '艺术与设计',
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music: '音乐与文化',
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tech: '科技与未来',
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lifestyle: '生活方式',
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habits: '用户习惯分析',
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habitsSubTitle: '基于您的行为模式识别的习惯特征',
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context_details: '偏好详情',
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supporting_evidence: '偏好来源',
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specific_examples: '来源',
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},
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shortTermDetail: {
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title: '短期记忆是AI系统的"工作台",连接即时对话与长期知识库。通过实时捕获、深度检索、智能提取和筛选转化,将临时的非结构化信息转化为有价值的长期知识。',
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retrieval_number: '检索次数',
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entity: '提取实体',
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long_term_number: '长期候选',
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shortTermTitle: '深度检索与扩展答案区',
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shortTermSubTitle: '存放为回答问题而进行的深度信息检索和由此生成的扩展答案,包含原始问题、检索信息和生成答案。',
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longTermTitle: '长期记忆候选池',
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longTermSubTitle: '聚合短期记忆,筛选并准备存入长期记忆的内容。这是从短时记忆到长时记忆的"中转站"和"过滤器"。',
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answer: '回答',
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query: '问题',
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noAnswer: '暂无回复',
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},
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perceptualDetail: {
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last_visual: '视觉感知流',
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last_listen: '听觉感知流',
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last_text: '文本感知',
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summary: '摘要',
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keywords: '关键词',
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topic: '主题',
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domain: '领域',
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scene: '场景',
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speaker_count: '对话人数',
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section_count: '段落数',
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timeLine: '感知时间线',
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lastInfo: '实时感知仪表盘',
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}
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},
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}
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