v0.13.0: 记忆系统重构 — MEMORY.md 文件化 + 路径保护 + 自动提取优化

核心变更:
- 删除 SQLite memories 表 + FTS5 + IVF 向量存储引擎 (~1300行)
- 4 个记忆工具合并为 1 个 memory 工具 (5 action)
- 记忆存储改为工作空间 MEMORY.md 单文件，严格格式校验
- 路径保护: checkPathAllowed 拦截所有工具，仅 memory 专用 IPC 通道可访问
- 应用启动/工作空间切换时自动校验并初始化 MEMORY.md（格式错误自动备份重建）
- 自动记忆提取重建: 对话结束时触发，多层质量过滤（内容/泛化/去重/安全/importance门槛）
- 工具总数: 42→40，UI 全面更新（帮助面板、工具面板、设置面板、README）
- 版本号更新: 0.12.11 → 0.13.0

src/renderer/components/settings-modal.ts

@@ -5,7 +5,6 @@
 import { state, KEYS } from '../state/state.js';
 import { debounce } from '../utils/utils.js';
 import { encryptData, decryptData } from '../services/crypto.js';
-import { setMemoryEnabled, setEmbeddingModel, getEmbeddingModel, getMemoryCache } from '../services/memory-manager.js';
 import { logSetting, logInfo, logWarn, logError, logSuccess } from '../services/log-service.js';
 import { checkConnection, updateConnectionInfo, updateRunningModels } from './header.js';
 import { loadModels } from './model-bar.js';
@@ -224,33 +223,6 @@ export function initSettingsModal(): void {
   });
 
 
-  // ── Agent 记忆设置 ──
-  const toggleMemory = document.querySelector('#toggleMemoryEnabled') as HTMLInputElement;
-  if (toggleMemory) {
-    toggleMemory.addEventListener('change', () => {
-      setMemoryEnabled(toggleMemory.checked);
-      showToast(toggleMemory.checked ? 'Agent 记忆已开启' : 'Agent 记忆已关闭', 'info');
-      logSetting('Agent 记忆', toggleMemory.checked ? '开启' : '关闭');
-    });
-  }
-
-  // ── 向量记忆引擎设置 ──
-  const selectEmbedModel = document.querySelector('#selectMemoryEmbedModel') as HTMLSelectElement;
-  if (selectEmbedModel) {
-    selectEmbedModel.addEventListener('change', async () => {
-      const model = selectEmbedModel.value;
-      await setEmbeddingModel(model);
-      if (model) {
-        showToast(`向量记忆已启用（${model}）`, 'success');
-        logSetting('向量记忆引擎', `启用: ${model}`);
-      } else {
-        showToast('向量记忆已关闭，仅使用关键词匹配', 'info');
-        logSetting('向量记忆引擎', '关闭');
-      }
-      updateMemoryVectorStatus();
-    });
-  }
-
   // ── 工作空间目录设置 ──
   const inputWorkspaceDir = document.querySelector('#inputWorkspaceDir') as HTMLInputElement;
   const btnBrowseWorkspace = document.querySelector('#btnBrowseWorkspace') as HTMLButtonElement;
@@ -290,6 +262,10 @@ export function initSettingsModal(): void {
         logSetting('工作空间目录', result.dir!);
         // ── 通知工作空间面板刷新目录 ──
         window.dispatchEvent(new CustomEvent('workspaceDirChanged', { detail: { dir: result.dir } }));
+        // ── 初始化新工作空间的 MEMORY.md ──
+        import('../services/memory-service.js').then(({ initMemoryFile }) => {
+          initMemoryFile().catch(() => {});
+        });
       } else {
         showToast(`设置失败: ${result.error!}`, 'error');
         // 恢复原值
@@ -305,9 +281,6 @@ export function openSettingsModal(): void {
   (document.querySelector('#inputServerUrl') as HTMLInputElement).value = state.get<OllamaAPI>(KEYS.API)?.baseUrl || '';
   updateConnectionInfo();
   updateRunningModels();
-  populateMemoryEmbedModels();
-  populateSubAgentModels();
-  updateMemoryVectorStatus();
   loadTimeoutSettings();
   loadWatchdogSetting();
   // 刷新工作空间目录显示
@@ -413,50 +386,6 @@ async function exportAllSessions(): Promise<void> {
   }
 }
 
-async function populateMemoryEmbedModels(): Promise<void> {
-  const select = document.querySelector('#selectMemoryEmbedModel') as HTMLSelectElement;
-  if (!select) return;
-  const api = state.get<OllamaAPI>(KEYS.API);
-  if (!api) return;
-
-  try {
-    const data = await api.listModels();
-    select.innerHTML = '<option value="">未选择（仅关键词模式）</option>';
-    if (!data.models || data.models.length === 0) return;
-
-    // 获取每个模型的能力信息，筛选嵌入模型
-    const checks = await Promise.allSettled(
-      data.models.map(async (m) => {
-        const info = await api.showModel(m.name);
-        const caps = info.capabilities || [];
-        return { name: m.name, size: m.size, isEmbed: caps.includes('embedding') };
-      })
-    );
-
-    const embedModels = checks
-      .filter(r => r.status === 'fulfilled' && r.value.isEmbed)
-      .map(r => (r as PromiseFulfilledResult<{ name: string; size?: number; isEmbed: boolean }>).value);
-
-    embedModels.forEach(m => {
-      const opt = document.createElement('option');
-      opt.value = m.name;
-      opt.textContent = m.name;
-      select.appendChild(opt);
-    });
-
-    if (embedModels.length === 0) {
-      select.innerHTML = '<option value="">未检测到嵌入模型，请先 ollama pull</option>';
-      return;
-    }
-
-    // 恢复已保存的选择
-    const saved = getEmbeddingModel();
-    if (saved) select.value = saved;
-  } catch (err) {
-    logWarn('加载嵌入模型列表失败', (err as Error).message);
-  }
-}
-
 async function populateSubAgentModels(): Promise<void> {
   const select = document.querySelector('#selectSubAgentModel') as HTMLSelectElement;
   if (!select) return;
@@ -533,20 +462,6 @@ const saveLoopWatchdog = debounce(async () => {
 }, 500);
 document.querySelector('#inputLoopWatchdog')!.addEventListener('input', saveLoopWatchdog);
 
-function updateMemoryVectorStatus(): void {
-  const statusEl = document.querySelector('#memoryVectorStatus');
-  if (!statusEl) return;
-  const model = getEmbeddingModel();
-  if (model) {
-    const memCount = getMemoryCache().length;
-    statusEl.textContent = `✅ 向量搜索已启用（${model}）· ${memCount} 条记忆`;
-    (statusEl as HTMLElement).style.color = 'var(--success)';
-  } else {
-    statusEl.textContent = 'ℹ️ 未选择嵌入模型，仅使用关键词匹配';
-    (statusEl as HTMLElement).style.color = '';
-  }
-}
-
 async function importSessions(filePath: string): Promise<void> {
   const db = state.get<ChatDB | null>(KEYS.DB);
   if (!db) return;