fix(growth,kernel,runtime,desktop): 50 轮功能链路审计 7 项断链修复

P0 修复:
- B-MEM-2: 跨会话记忆丢失 — 添加 IdentityRecall 查询意图检测，
  身份类查询绕过 FTS5/LIKE 文本搜索，直接按 scope 检索全部偏好+知识记忆；
  缓存 GrowthIntegration 到 Kernel 避免每次请求重建空 scorer
- B-HAND-1: Hands 未触发 — 创建 HandTool wrapper 实现 Tool trait，
  在 create_tool_registry() 中注册所有已启用 Hands 为 LLM 可调用工具

P1 修复:
- B-SCHED-4: 一次性定时未拦截 — 添加 RE_ONE_SHOT_TODAY 正则匹配
  "下午3点半提醒我..."类无日期前缀的同日触发模式
- B-CHAT-2: 工具调用循环 — ToolErrorMiddleware 添加连续失败计数器，
  3 次连续失败后自动 AbortLoop 防止无限重试
- B-CHAT-5: Stream 竞态 — cancelStream 后添加 500ms cancelCooldown，
  防止后端 active-stream 检查竞态

crates/zclaw-growth/src/retrieval/query.rs

@@ -36,6 +36,9 @@ pub enum QueryIntent {
     Code,
     /// Configuration query
     Configuration,
+    /// Identity/personal recall — user asks about themselves or past conversations
+    /// Triggers broad retrieval of all preference + knowledge memories
+    IdentityRecall,
 }
 
 /// Query analyzer
@@ -50,6 +53,8 @@ pub struct QueryAnalyzer {
     code_indicators: HashSet<String>,
     /// Stop words to filter out
     stop_words: HashSet<String>,
+    /// Patterns indicating identity/personal recall queries
+    identity_patterns: Vec<String>,
 }
 
 impl QueryAnalyzer {
@@ -99,13 +104,38 @@ impl QueryAnalyzer {
             .iter()
             .map(|s| s.to_string())
             .collect(),
+            identity_patterns: [
+                // Chinese identity recall patterns
+                "我是谁", "我叫什么", "我之前", "我告诉过你", "我之前告诉",
+                "还记得我", "你还记得", "我的名字", "我的身份", "我的信息",
+                "我的工作", "我在哪", "我的偏好", "我喜欢什么",
+                "关于我", "了解我", "记得我", "我之前说过",
+                // English identity recall patterns
+                "who am i", "what is my name", "what do you know about me",
+                "what did i tell", "do you remember me", "what do you remember",
+                "my preferences", "about me", "what have i shared",
+            ]
+            .iter()
+            .map(|s| s.to_string())
+            .collect(),
         }
     }
 
     /// Analyze a query string
     pub fn analyze(&self, query: &str) -> AnalyzedQuery {
         let keywords = self.extract_keywords(query);
-        let intent = self.classify_intent(&keywords);
+
+        // Check for identity recall patterns first (highest priority)
+        let query_lower = query.to_lowercase();
+        let is_identity = self.identity_patterns.iter()
+            .any(|pattern| query_lower.contains(&pattern.to_lowercase()));
+
+        let intent = if is_identity {
+            QueryIntent::IdentityRecall
+        } else {
+            self.classify_intent(&keywords)
+        };
+
         let target_types = self.infer_memory_types(intent, &keywords);
         let expansions = self.expand_query(&keywords);
 
@@ -189,6 +219,12 @@ impl QueryAnalyzer {
                 types.push(MemoryType::Preference);
                 types.push(MemoryType::Knowledge);
             }
+            QueryIntent::IdentityRecall => {
+                // Identity recall needs all memory types
+                types.push(MemoryType::Preference);
+                types.push(MemoryType::Knowledge);
+                types.push(MemoryType::Experience);
+            }
         }
 
         types