feat: add wechat publish recovery and conversation memory

user-memory-profile.mjs

@@ -127,11 +127,33 @@ export function renderUserMemoryProfileForHarness(profile, context = {}) {
   ].join('\n');
 }
 
+function renderStoredUserMemoryLines(memories) {
+  const items = Array.isArray(memories) ? memories : [];
+  if (items.length === 0) return ['- （暂无已沉淀的对话记忆）'];
+  return items.slice(0, 50).map((item) => {
+    const label = item?.label ? `[${item.label}] ` : '';
+    const text = String(item?.text ?? item?.memory_text ?? item?.memoryText ?? '').trim();
+    return `- ${label}${text}`;
+  }).filter((line) => line.trim() !== '-');
+}
+
+export function renderStoredUserMemoriesForHarness(memories) {
+  return [
+    '## TKMind 已沉淀用户记忆',
+    '',
+    '以下内容来自用户历史对话的长期记忆抽取，仅用于改善当前用户体验。',
+    '不要把这些内容透露给其他用户；如果用户要求忘记或删除，应遵从并更新对应记忆。',
+    '',
+    ...renderStoredUserMemoryLines(memories),
+  ].join('\n');
+}
+
 export function buildSessionMemoryEntries({
   workingDir,
   sessionPolicy,
   sandboxConstraints = null,
   userContext = null,
+  userMemories = null,
 }) {
   const entries = [];
 
@@ -179,6 +201,13 @@ export function buildSessionMemoryEntries({
     });
   }
 
+  if (Array.isArray(userMemories) && userMemories.length > 0) {
+    entries.push({
+      title: 'TKMind 已沉淀用户记忆',
+      content: renderStoredUserMemoriesForHarness(userMemories),
+    });
+  }
+
   return entries;
 }