diff --git a/tools/health_check.py b/tools/health_check.py
index 5cd0a613..3eb995fb 100644
--- a/tools/health_check.py
+++ b/tools/health_check.py
@@ -150,23 +150,70 @@ def check_disk_usage(path: str = "/") -> Tuple[str, str, float]:
 
 
 def check_memory_usage() -> Tuple[str, str, float]:
+    """Check memory usage with cross-platform fallbacks."""
     try:
-        with open("/proc/meminfo") as f:
-            meminfo = {}
-            for line in f:
-                parts = line.split(":")
-                if len(parts) == 2:
-                    key = parts[0].strip()
-                    value = parts[1].strip().replace(" kB", "")
-                    try:
-                        meminfo[key] = int(value) * 1024
-                    except ValueError:
-                        pass
-
-        total = meminfo.get("MemTotal", 0)
-        available = meminfo.get("MemAvailable", 0)
-        used = total - available
-        pct = (used / total) * 100 if total > 0 else 0
+        # Try Linux /proc/meminfo first
+        if os.path.exists("/proc/meminfo"):
+            with open("/proc/meminfo") as f:
+                meminfo = {}
+                for line in f:
+                    parts = line.split(":")
+                    if len(parts) == 2:
+                        key = parts[0].strip()
+                        value = parts[1].strip().replace(" kB", "")
+                        try:
+                            meminfo[key] = int(value) * 1024
+                        except ValueError:
+                            pass
+
+            total = meminfo.get("MemTotal", 0)
+            available = meminfo.get("MemAvailable", 0)
+            used = total - available
+            pct = (used / total) * 100 if total > 0 else 0
+        else:
+            # Cross-platform fallback for macOS/BSD
+            # On macOS, we can use subprocess to get memory info
+            try:
+                result = subprocess.run(
+                    ["sysctl", "-n", "hw.memsize"],
+                    capture_output=True, text=True, timeout=5
+                )
+                total = int(result.stdout.strip())
+            except (subprocess.TimeoutExpired, ValueError, FileNotFoundError):
+                # Fallback: estimate from resource limits
+                # RLIMIT_AS is virtual memory limit, not actual total
+                # Use a reasonable default if we can't determine
+                total = 0
+
+            if total > 0:
+                # Get page size and free pages
+                try:
+                    result = subprocess.run(
+                        ["vm_stat"],
+                        capture_output=True, text=True, timeout=5
+                    )
+                    # Parse vm_stat output for page size and free pages
+                    lines = result.stdout.strip().split("\n")
+                    page_size = 4096  # Default page size
+                    free_pages = 0
+                    for line in lines:
+                        if "page size of" in line:
+                            page_size = int(line.split()[-1])
+                        elif "Pages free" in line:
+                            free_pages = int(line.split()[-1].rstrip("."))
+                    available = free_pages * page_size
+                    used = total - available
+                    pct = (used / total) * 100 if total > 0 else 0
+                except (subprocess.TimeoutExpired, ValueError, FileNotFoundError):
+                    pct = 0
+                    used = 0
+                    total = 0
+            else:
+                pct = 0
+                used = 0
+
+        if total == 0:
+            return "WARNING", "Cannot determine memory usage on this platform", 0
 
         if pct < MEMORY_THRESHOLD_WARNING:
             return "OK", f"{pct:.1f}% used ({used // (1024**3)}GB/{total // (1024**3)}GB)", pct
@@ -179,19 +226,31 @@ def check_memory_usage() -> Tuple[str, str, float]:
 
 
 def check_load_average() -> Tuple[str, str, float]:
+    """Check load average with cross-platform fallbacks."""
     try:
-        with open("/proc/loadavg") as f:
-            parts = f.read().strip().split()
-            load = float(parts[0])
-            cpu_count = os.cpu_count() or 1
-            load_pct = (load / cpu_count) * 100
-
-            if load_pct < 70:
-                return "OK", f"Load: {load} ({load_pct:.0f}% of {cpu_count} cores)", load
-            elif load_pct < 90:
-                return "WARNING", f"Load: {load} ({load_pct:.0f}% of {cpu_count} cores)", load
-            else:
-                return "CRITICAL", f"Load: {load} ({load_pct:.0f}% of {cpu_count} cores)", load
+        # Try Linux /proc/loadavg first
+        if os.path.exists("/proc/loadavg"):
+            with open("/proc/loadavg") as f:
+                parts = f.read().strip().split()
+                load = float(parts[0])
+        else:
+            # Cross-platform fallback using os.getloadavg()
+            # Available on macOS, BSD, and most Unix-like systems
+            try:
+                load_1, load_5, load_15 = os.getloadavg()
+                load = load_1  # Use 1-minute load average
+            except OSError:
+                return "WARNING", "Cannot determine load average on this platform", 0
+
+        cpu_count = os.cpu_count() or 1
+        load_pct = (load / cpu_count) * 100
+
+        if load_pct < 70:
+            return "OK", f"Load: {load} ({load_pct:.0f}% of {cpu_count} cores)", load
+        elif load_pct < 90:
+            return "WARNING", f"Load: {load} ({load_pct:.0f}% of {cpu_count} cores)", load
+        else:
+            return "CRITICAL", f"Load: {load} ({load_pct:.0f}% of {cpu_count} cores)", load
     except Exception as e:
         return "WARNING", f"Cannot check: {e}", 0