diff --git a/modules/memory_debug.py b/modules/memory_debug.py
index 20d8d1c..c5d7d1e 100644
--- a/modules/memory_debug.py
+++ b/modules/memory_debug.py
@@ -93,11 +93,40 @@ def _current_vms_mb() -> Optional[float]:
         return None
 
 
-def get_memory_info() -> Dict[str, Optional[float]]:
-    return {
+def _get_detailed_memory_info() -> Dict[str, Optional[float]]:
+    """获取更详细的内存指标，更接近 macOS 活动监视器。"""
+    result: Dict[str, Optional[float]] = {
         "rss_mb": _current_rss_mb(),
         "vms_mb": _current_vms_mb(),
+        "uss_mb": None,
+        "shared_mb": None,
+        "private_mb": None,
+        "data_mb": None,
+        "dirty_mb": None,
+        "compressed_mb": None,
     }
+    try:
+        import psutil
+        proc = psutil.Process()
+        info = proc.memory_info()
+        # uss 只在 memory_full_info() 中提供
+        try:
+            full = proc.memory_full_info()
+            result["uss_mb"] = getattr(full, "uss", None) / (1024 * 1024) if getattr(full, "uss", None) else None
+            result["compressed_mb"] = getattr(full, "compressed", None) / (1024 * 1024) if getattr(full, "compressed", None) else None
+        except Exception:
+            pass
+        result["shared_mb"] = getattr(info, "shared", None) / (1024 * 1024) if getattr(info, "shared", None) else None
+        result["private_mb"] = getattr(info, "private", None) / (1024 * 1024) if getattr(info, "private", None) else None
+        result["data_mb"] = getattr(info, "data", None) / (1024 * 1024) if getattr(info, "data", None) else None
+        result["dirty_mb"] = getattr(info, "dirty", None) / (1024 * 1024) if getattr(info, "dirty", None) else None
+    except Exception:
+        pass
+    return result
+
+
+def get_memory_info() -> Dict[str, Optional[float]]:
+    return _get_detailed_memory_info()
 
 
 def _estimate_text_size(text: Any) -> int:
@@ -247,20 +276,21 @@ class TopAllocator:
 
 
 def _periodic_sampling(
-    interval_seconds: float = 1.0,
-    spike_threshold_mb: float = 100.0,
-    max_records: int = 3,
+    interval_seconds: float = 0.1,
+    spike_threshold_mb: float = 50.0,
+    max_records: int = 10,
 ) -> None:
-    """后台线程：每秒采样一次内存，发现快速增长或峰值时记录。"""
+    """后台线程：每 100ms 采样一次内存，发现快速增长或峰值时记录。"""
     global _last_sample_rss_mb, _peak_rss_mb
     records_since_spike = 0
+    last_regular_log = 0.0
     while ENABLED:
         try:
             info = get_memory_info()
             rss = info.get("rss_mb")
-            vms = info.get("vms_mb")
             if rss is not None:
                 spike = False
+                delta = None
                 if _last_sample_rss_mb is not None:
                     delta = rss - _last_sample_rss_mb
                     if delta >= spike_threshold_mb:
@@ -271,19 +301,16 @@ def _periodic_sampling(
                     records_since_spike -= 1
                     log_memory_event(
                         "memory_periodic_spike",
-                        rss_mb=rss,
-                        vms_mb=vms,
-                        peak_rss_mb=_peak_rss_mb,
-                        delta_from_last_mb=(delta if spike else None),
+                        **info,
+                        delta_from_last_mb=delta,
                     )
                 else:
-                    # 每 5 秒记录一次常规采样，避免日志过多
-                    if int(time.time()) % 5 == 0:
+                    now = time.time()
+                    if now - last_regular_log >= 2.0:
+                        last_regular_log = now
                         log_memory_event(
                             "memory_periodic_sample",
-                            rss_mb=rss,
-                            vms_mb=vms,
-                            peak_rss_mb=_peak_rss_mb,
+                            **info,
                         )
         except Exception:
             pass
@@ -291,8 +318,8 @@ def _periodic_sampling(
 
 
 def start_periodic_sampling(
-    interval_seconds: float = 1.0,
-    spike_threshold_mb: float = 100.0,
+    interval_seconds: float = 0.1,
+    spike_threshold_mb: float = 50.0,
 ) -> None:
     """启动后台内存采样线程。幂等：重复调用不会启动多个线程。"""
     global _sample_thread