diff --git a/comfy_api/v3/io.py b/comfy_api/v3/io.py
index 268f131b8..3d36793a4 100644
--- a/comfy_api/v3/io.py
+++ b/comfy_api/v3/io.py
@@ -4,6 +4,9 @@ from enum import Enum
 from abc import ABC, abstractmethod
 from dataclasses import dataclass, asdict
 from collections import Counter
+import comfy.utils
+import folder_paths
+import logging
 # used for type hinting
 import torch
 from spandrel import ImageModelDescriptor
@@ -281,6 +284,56 @@ class NodeStateLocal(NodeState):
     def __delitem__(self, key: str):
         del self.local_state[key]
 
+
+class ResourceKey(ABC):
+    def __init__(self):
+        ...
+
+class ResourceKeyFolderFilename(ResourceKey):
+    def __init__(self, folder_name: str, file_name: str):
+        self.folder_name = folder_name
+        self.file_name = file_name
+    
+    def __hash__(self):
+        return hash((self.folder_name, self.file_name))
+
+    def __eq__(self, other: object) -> bool:
+        if not isinstance(other, ResourceKeyFolderFilename):
+            return False
+        return self.folder_name == other.folder_name and self.file_name == other.file_name
+    
+    def __str__(self):
+        return f"{self.folder_name} -> {self.file_name}"
+
+class Resources(ABC):
+    def __init__(self):
+        ...
+    
+    @abstractmethod
+    def get_torch_dict(self, key: ResourceKey) -> dict[str, torch.Tensor]:
+        pass
+
+class ResourcesLocal(Resources):
+    def __init__(self):
+        super().__init__()
+        self.local_resources: dict[ResourceKey, dict[str, torch.Tensor]] = {}
+    
+    def get_torch_dict(self, key: ResourceKey) -> dict[str, torch.Tensor]:
+        cached = self.local_resources.get(key, None)
+        if cached is not None:
+            logging.info(f"Using cached resource '{key}'")
+            return cached
+        logging.info(f"Loading resource '{key}'")
+        to_return = None
+        if isinstance(key, ResourceKeyFolderFilename):
+            to_return = comfy.utils.load_torch_file(folder_paths.get_full_path_or_raise(key.folder_name, key.file_name), safe_load=True)
+
+        if to_return is not None:
+            self.local_resources[key] = to_return
+            return to_return
+        raise Exception(f"Unsupported resource key type: {type(key)}")
+
+
 @comfytype(io_type="BOOLEAN")
 class Boolean:
     Type = bool
@@ -966,6 +1019,7 @@ class ComfyNodeV3:
     
     # filled in during execution
     state: NodeState = None
+    resources: Resources = None
     hidden: HiddenHolder = None
 
     @classmethod
@@ -995,6 +1049,7 @@ class ComfyNodeV3:
 
     def __init__(self):
         self.local_state: NodeStateLocal = None
+        self.local_resources: ResourcesLocal = None
         self.__class__.VALIDATE_CLASS()
 
     @classmethod
diff --git a/comfy_extras/nodes_v3_test.py b/comfy_extras/nodes_v3_test.py
index 2f8a062b5..e84fdaa87 100644
--- a/comfy_extras/nodes_v3_test.py
+++ b/comfy_extras/nodes_v3_test.py
@@ -100,10 +100,6 @@ class V3TestNode(io.ComfyNodeV3):
 
 
 class V3LoraLoader(io.ComfyNodeV3):
-    class State(io.NodeState):
-        loaded_lora: tuple[str, Any] | None = None
-    state: State
-
     @classmethod
     def DEFINE_SCHEMA(cls):
         return io.SchemaV3(
@@ -147,17 +143,7 @@ class V3LoraLoader(io.ComfyNodeV3):
         if strength_model == 0 and strength_clip == 0:
             return io.NodeOutput(model, clip)
 
-        lora_path = folder_paths.get_full_path_or_raise("loras", lora_name)
-        lora = None
-        if cls.state.loaded_lora is not None:
-            if cls.state.loaded_lora[0] == lora_path:
-                lora = cls.state.loaded_lora[1]
-            else:
-                cls.state.loaded_lora = None
-
-        if lora is None:
-            lora = comfy.utils.load_torch_file(lora_path, safe_load=True)
-            cls.state.loaded_lora = (lora_path, lora)
+        lora = cls.resources.get_torch_dict(io.ResourceKeyFolderFilename("loras", lora_name))
 
         model_lora, clip_lora = comfy.sd.load_lora_for_models(model, clip, lora, strength_model, strength_clip)
         return io.NodeOutput(model_lora, clip_lora)
diff --git a/execution.py b/execution.py
index 8d5f708e3..5ab7f1fe0 100644
--- a/execution.py
+++ b/execution.py
@@ -28,7 +28,7 @@ from comfy_execution.graph import (
 )
 from comfy_execution.graph_utils import GraphBuilder, is_link
 from comfy_execution.validation import validate_node_input
-from comfy_api.v3.io import NodeOutput, ComfyNodeV3, Hidden, NodeStateLocal
+from comfy_api.v3.io import NodeOutput, ComfyNodeV3, Hidden, NodeStateLocal, ResourcesLocal
 
 
 class ExecutionResult(Enum):
@@ -224,6 +224,11 @@ def _map_node_over_list(obj, input_data_all, func, allow_interrupt=False, execut
                     if obj.local_state is None:
                         obj.local_state = NodeStateLocal(class_clone.hidden.unique_id)
                     class_clone.state = obj.local_state
+                # NOTE: this is a mock of resource management; for local, just stores ResourcesLocal on node instance
+                if hasattr(obj, "local_resources"):
+                    if obj.local_resources is None:
+                        obj.local_resources = ResourcesLocal()
+                    class_clone.resources = obj.local_resources
                 results.append(getattr(type(obj), func).__func__(class_clone, **inputs))
             # V1
             else: