diff --git a/desktop/src/lib/active-learning.ts b/desktop/src/lib/active-learning.ts
deleted file mode 100644
index 4634431..0000000
--- a/desktop/src/lib/active-learning.ts
+++ /dev/null
@@ -1,369 +0,0 @@
-/**
- * 主动学习引擎 - 从用户交互中学习并改进 Agent 行为
- *
- * 提供学习事件记录、模式提取和建议生成功能。
- * Phase 1: 内存存储，Zustand 持久化
- * Phase 2: SQLite + 向量化存储
- */
-
-import {
-  type LearningEvent,
-  type LearningPattern,
-  type LearningSuggestion,
-  type LearningEventType,
-  type FeedbackSentiment,
-} from '../types/active-learning';
-import { generateRandomString } from './crypto-utils';
-
-// === 常量 ===
-
-const MAX_EVENTS = 1000;
-const PATTERN_CONFIDENCE_THRESHOLD = 0.7;
-const SUGGESTION_COOLDOWN_HOURS = 2;
-
-// === 生成 ID ===
-
-function generateEventId(): string {
-  return `le-${Date.now()}-${generateRandomString(8)}`;
-}
-
-// === 分析反馈情感 ===
-
-export function analyzeSentiment(text: string): FeedbackSentiment {
-  const positive = ['好的', '很棒', '谢谢', '完美', 'excellent', '喜欢', '爱了', 'good', 'great', 'nice', '满意'];
-  const negative = ['不好', '差', '糟糕', '错误', 'wrong', 'bad', '不喜欢', '讨厌', '问题', '失败', 'fail', 'error'];
-
-  const lowerText = text.toLowerCase();
-
-  if (positive.some(w => lowerText.includes(w.toLowerCase()))) return 'positive';
-  if (negative.some(w => lowerText.includes(w.toLowerCase()))) return 'negative';
-  return 'neutral';
-}
-
-// === 分析学习类型 ===
-
-export function analyzeEventType(text: string): LearningEventType {
-  const lowerText = text.toLowerCase();
-
-  if (lowerText.includes('纠正') || lowerText.includes('不对') || lowerText.includes('修改')) {
-    return 'correction';
-  }
-  if (lowerText.includes('喜欢') || lowerText.includes('偏好') || lowerText.includes('风格')) {
-    return 'preference';
-  }
-  if (lowerText.includes('场景') || lowerText.includes('上下文') || lowerText.includes('情况')) {
-    return 'context';
-  }
-  if (lowerText.includes('总是') || lowerText.includes('经常') || lowerText.includes('习惯')) {
-    return 'behavior';
-  }
-  return 'implicit';
-}
-
-// === 推断偏好 ===
-
-export function inferPreference(feedback: string, sentiment: FeedbackSentiment): string {
-  if (sentiment === 'positive') {
-    if (feedback.includes('简洁')) return '用户偏好简洁的回复';
-    if (feedback.includes('详细')) return '用户偏好详细的回复';
-    if (feedback.includes('快速')) return '用户偏好快速响应';
-    return '用户对当前回复风格满意';
-  }
-  if (sentiment === 'negative') {
-    if (feedback.includes('太长')) return '用户偏好更短的回复';
-    if (feedback.includes('太短')) return '用户偏好更详细的回复';
-    if (feedback.includes('不准确')) return '用户偏好更准确的信息';
-    return '用户对当前回复风格不满意';
-  }
-  return '用户反馈中性';
-}
-
-// === 学习引擎类 ===
-
-export class ActiveLearningEngine {
-  private events: LearningEvent[] = [];
-  private patterns: LearningPattern[] = [];
-  // Reserved for future learning suggestions feature
-  private suggestions: LearningSuggestion[] = [];
-  private initialized: boolean = false;
-
-  constructor() {
-    this.initialized = true;
-  }
-
-  /** Get current suggestions (reserved for future use) */
-  getSuggestions(): LearningSuggestion[] {
-    return this.suggestions;
-  }
-
-  /** Check if engine is initialized */
-  isInitialized(): boolean {
-    return this.initialized;
-  }
-
-  /**
-   * 记录学习事件
-   */
-  recordEvent(
-    event: Omit<LearningEvent, 'id' | 'timestamp' | 'acknowledged' | 'appliedCount'>
-  ): LearningEvent {
-    // 检查重复事件
-    const existing = this.events.find(e =>
-      e.agentId === event.agentId &&
-      e.messageId === event.messageId &&
-      e.type === event.type
-    );
-
-    if (existing) {
-      // 更新现有事件
-      existing.observation += ' | ' + event.observation;
-      existing.confidence = (existing.confidence + event.confidence) / 2;
-      existing.appliedCount++;
-      return existing;
-    }
-
-    // 创建新事件
-    const newEvent: LearningEvent = {
-      ...event,
-      id: generateEventId(),
-      timestamp: Date.now(),
-      acknowledged: false,
-      appliedCount: 0,
-    };
-
-    this.events.push(newEvent);
-    this.extractPatterns(newEvent);
-
-    // 保持事件数量限制
-    if (this.events.length > MAX_EVENTS) {
-      this.events = this.events.slice(-MAX_EVENTS);
-    }
-
-    return newEvent;
-  }
-
-  /**
-   * 从反馈中学习
-   */
-  learnFromFeedback(
-    agentId: string,
-    messageId: string,
-    feedback: string,
-    context?: string
-  ): LearningEvent {
-    const sentiment = analyzeSentiment(feedback);
-    const type = analyzeEventType(feedback);
-
-    return this.recordEvent({
-      type,
-      agentId,
-      messageId,
-      trigger: context || 'User feedback',
-      observation: feedback,
-      context,
-      inferredPreference: inferPreference(feedback, sentiment),
-      confidence: sentiment === 'positive' ? 0.8 : sentiment === 'negative' ? 0.5 : 0.3,
-    });
-  }
-
-  /**
-   * 提取学习模式
-   */
-  private extractPatterns(event: LearningEvent): void {
-    // 1. 正面反馈 -> 偏好正面回复
-    if (event.observation.includes('谢谢') || event.observation.includes('好的')) {
-      this.addPattern({
-        id: `pat-${Date.now()}-${generateRandomString(8)}`,
-        type: 'preference',
-        pattern: 'positive_response_preference',
-        description: '用户偏好正面回复风格',
-        examples: [event.observation],
-        confidence: 0.8,
-        agentId: event.agentId,
-      });
-    }
-
-    // 2. 纠正 -> 需要更精确
-    if (event.type === 'correction') {
-      this.addPattern({
-        id: `pat-${Date.now()}-${generateRandomString(8)}`,
-        type: 'preference',
-        pattern: 'precision_preference',
-        description: '用户对精确性有更高要求',
-        examples: [event.observation],
-        confidence: 0.9,
-        agentId: event.agentId,
-      });
-    }
-
-    // 3. 上下文相关 -> 场景偏好
-    if (event.context) {
-      this.addPattern({
-        id: `pat-${Date.now()}-${generateRandomString(8)}`,
-        type: 'context',
-        pattern: 'context_aware',
-        description: 'Agent 需要关注上下文',
-        examples: [event.context],
-        confidence: 0.6,
-        agentId: event.agentId,
-      });
-    }
-  }
-
-  /**
-   * 添加学习模式
-   */
-  private addPattern(pattern: Omit<LearningPattern, 'updatedAt'>): void {
-    const existing = this.patterns.find(p =>
-      p.type === pattern.type &&
-      p.pattern === pattern.pattern &&
-      p.agentId === pattern.agentId
-    );
-
-    if (existing) {
-      // 增强置信度
-      existing.confidence = Math.min(1, existing.confidence + pattern.confidence * 0.1);
-      existing.examples.push(pattern.examples[0]);
-      existing.updatedAt = Date.now();
-    } else {
-      this.patterns.push({
-        ...pattern,
-        updatedAt: Date.now(),
-      });
-    }
-  }
-
-  /**
-   * 生成学习建议
-   */
-  generateSuggestions(agentId: string): LearningSuggestion[] {
-    const suggestions: LearningSuggestion[] = [];
-    const now = Date.now();
-
-    // 获取该 Agent 的模式
-    const agentPatterns = this.patterns.filter(p => p.agentId === agentId);
-
-    for (const pattern of agentPatterns) {
-      // 检查冷却时间
-      const hoursSinceUpdate = (now - (pattern.updatedAt || now)) / (1000 * 60 * 60);
-      if (hoursSinceUpdate < SUGGESTION_COOLDOWN_HOURS) continue;
-
-      // 检查置信度阈值
-      if (pattern.confidence < PATTERN_CONFIDENCE_THRESHOLD) continue;
-
-      // 生成建议
-      suggestions.push({
-        id: `sug-${Date.now()}-${generateRandomString(8)}`,
-        agentId,
-        type: pattern.type,
-        pattern: pattern.pattern,
-        suggestion: this.generateSuggestionContent(pattern),
-        confidence: pattern.confidence,
-        createdAt: now,
-        expiresAt: new Date(now + 7 * 24 * 60 * 60 * 1000),
-        dismissed: false,
-      });
-    }
-
-    return suggestions;
-  }
-
-  /**
-   * 生成建议内容
-   */
-  private generateSuggestionContent(pattern: LearningPattern): string {
-    const templates: Record<string, string> = {
-      positive_response_preference:
-        '用户似乎偏好正面回复。建议在回复时保持积极和确认的语气。',
-      precision_preference:
-        '用户对精确性有更高要求。建议在提供信息时更加详细和准确。',
-      context_aware:
-        'Agent 需要关注上下文。建议在回复时考虑对话的背景和历史。',
-    };
-
-    return templates[pattern.pattern] || `观察到模式: ${pattern.pattern}`;
-  }
-
-  /**
-   * 获取统计信息
-   */
-  getStats(agentId: string) {
-    const agentEvents = this.events.filter(e => e.agentId === agentId);
-    const agentPatterns = this.patterns.filter(p => p.agentId === agentId);
-
-    const eventsByType: Record<LearningEventType, number> = {
-      preference: 0,
-      correction: 0,
-      context: 0,
-      feedback: 0,
-      behavior: 0,
-      implicit: 0,
-    };
-
-    for (const event of agentEvents) {
-      eventsByType[event.type]++;
-    }
-
-    return {
-      totalEvents: agentEvents.length,
-      eventsByType,
-      totalPatterns: agentPatterns.length,
-      avgConfidence: agentPatterns.length > 0
-        ? agentPatterns.reduce((sum, p) => sum + p.confidence, 0) / agentPatterns.length
-        : 0,
-    };
-  }
-
-  /**
-   * 获取所有事件
-   */
-  getEvents(agentId?: string): LearningEvent[] {
-    if (agentId) {
-      return this.events.filter(e => e.agentId === agentId);
-    }
-    return [...this.events];
-  }
-
-  /**
-   * 获取所有模式
-   */
-  getPatterns(agentId?: string): LearningPattern[] {
-    if (agentId) {
-      return this.patterns.filter(p => p.agentId === agentId);
-    }
-    return [...this.patterns];
-  }
-
-  /**
-   * 确认事件
-   */
-  acknowledgeEvent(eventId: string): void {
-    const event = this.events.find(e => e.id === eventId);
-    if (event) {
-      event.acknowledged = true;
-    }
-  }
-
-  /**
-   * 清除事件
-   */
-  clearEvents(agentId: string): void {
-    this.events = this.events.filter(e => e.agentId !== agentId);
-    this.patterns = this.patterns.filter(p => p.agentId !== agentId);
-  }
-}
-
-// === 单例实例 ===
-
-let engineInstance: ActiveLearningEngine | null = null;
-
-export function getActiveLearningEngine(): ActiveLearningEngine {
-  if (!engineInstance) {
-    engineInstance = new ActiveLearningEngine();
-  }
-  return engineInstance;
-}
-
-export function resetActiveLearningEngine(): void {
-  engineInstance = null;
-}
diff --git a/desktop/src/types/active-learning.ts b/desktop/src/types/active-learning.ts
deleted file mode 100644
index 14c6b8b..0000000
--- a/desktop/src/types/active-learning.ts
+++ /dev/null
@@ -1,59 +0,0 @@
-/**
- * 主动学习引擎类型定义
- */
-
-export type LearningEventType =
-  | 'preference'
-  | 'correction'
-  | 'context'
-  | 'feedback'
-  | 'behavior'
-  | 'implicit';
-
-export type FeedbackSentiment = 'positive' | 'negative' | 'neutral';
-
-export interface LearningEvent {
-  id: string;
-  type: LearningEventType;
-  agentId: string;
-  messageId: string;
-  timestamp: number;
-  trigger: string;
-  observation: string;
-  context?: string;
-  inferredPreference?: string;
-  confidence: number;
-  acknowledged: boolean;
-  appliedCount: number;
-}
-
-export interface LearningPattern {
-  id: string;
-  type: LearningEventType;
-  pattern: string;
-  description: string;
-  examples: string[];
-  confidence: number;
-  agentId: string;
-  updatedAt: number;
-}
-
-export interface LearningSuggestion {
-  id: string;
-  agentId: string;
-  type: LearningEventType;
-  pattern: string;
-  suggestion: string;
-  confidence: number;
-  createdAt: number;
-  expiresAt?: Date;
-  dismissed: boolean;
-}
-
-export interface ActiveLearningState {
-  events: LearningEvent[];
-  patterns: LearningPattern[];
-  suggestions: LearningSuggestion[];
-  isEnabled: boolean;
-  lastProcessed: number;
-}