diff --git a/test/test_iterdatapipe.py b/test/test_iterdatapipe.py
index 8fc4cb16a..74a81a449 100644
--- a/test/test_iterdatapipe.py
+++ b/test/test_iterdatapipe.py
@@ -936,6 +936,5 @@ def test_zip_longest_iterdatapipe(self):
         # __len__ Test: length matches the length of the shortest input
         self.assertEqual(len(output_dp), 10)
 
-
 if __name__ == "__main__":
     unittest.main()
diff --git a/test/test_local_io.py b/test/test_local_io.py
index f5a0cda61..4163e441e 100644
--- a/test/test_local_io.py
+++ b/test/test_local_io.py
@@ -26,6 +26,7 @@
     CSVDictParser,
     CSVParser,
     Decompressor,
+    FileCache,
     FileLister,
     FileOpener,
     HashChecker,
@@ -779,5 +780,22 @@ def decode(item):
         assert items[9][".bin"] == "bin9"
 
 
+    def test_filecache(self) -> None:
+        nfiles = 100
+        testdata = b"hello, world"
+        dest = os.path.join(self.temp_dir.name, "testdata")
+        with open(dest, "wb") as stream:
+            stream.write(testdata)
+        stage1 = IterableWrapper([dest] * nfiles)
+        stage2 = FileOpener(stage1, mode="b")
+        stage3 = FileCache(stage2, cachedir=os.path.join(self.temp_dir.name, "_cache"))
+        count = 0
+        for path, stream in stage3:
+            data = stream.read()
+            count += 1
+            assert data == testdata
+        assert count == nfiles
+
+
 if __name__ == "__main__":
     unittest.main()
diff --git a/torchdata/datapipes/iter/__init__.py b/torchdata/datapipes/iter/__init__.py
index a4109cced..545b6bf2a 100644
--- a/torchdata/datapipes/iter/__init__.py
+++ b/torchdata/datapipes/iter/__init__.py
@@ -109,7 +109,12 @@
     TFRecordLoaderIterDataPipe as TFRecordLoader,
 )
 from torchdata.datapipes.iter.util.unzipper import UnZipperIterDataPipe as UnZipper
-from torchdata.datapipes.iter.util.webdataset import WebDatasetIterDataPipe as WebDataset
+from torchdata.datapipes.iter.util.webdataset import (
+    WebDatasetIterDataPipe as WebDataset,
+)
+from torchdata.datapipes.iter.util.filecache import (
+    FileCacheIterDataPipe as FileCache,
+)
 from torchdata.datapipes.iter.util.xzfileloader import (
     XzFileLoaderIterDataPipe as XzFileLoader,
     XzFileReaderIterDataPipe as XzFileReader,
@@ -140,6 +145,7 @@
     "FSSpecFileLister",
     "FSSpecFileOpener",
     "FSSpecSaver",
+    "FileCache",
     "FileLister",
     "FileOpener",
     "Filter",
diff --git a/torchdata/datapipes/iter/util/filecache.py b/torchdata/datapipes/iter/util/filecache.py
new file mode 100644
index 000000000..1c52f3b9f
--- /dev/null
+++ b/torchdata/datapipes/iter/util/filecache.py
@@ -0,0 +1,71 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+import os
+import re
+import shutil
+import sys
+import urllib.parse
+from typing import Any, Dict, Iterator, Tuple
+
+from torch.utils.data.datapipes.utils.common import StreamWrapper
+
+from torchdata.datapipes import functional_datapipe
+from torchdata.datapipes.iter import IterDataPipe
+
+
+def cache_by_fname(s):
+    result = re.sub("^.*/", "", s)
+    return urllib.parse.quote(result)
+
+
+if os.name == "nt":
+    default_cachedir = "datacache"
+else:
+    default_cachedir = "_datacache"
+
+
+@functional_datapipe("filecache")
+class FileCacheIterDataPipe(IterDataPipe[Dict]):
+    r""" """
+
+    def __init__(
+        self,
+        source_datapipe: IterDataPipe[Tuple[str, Any]],
+        cachedir=default_cachedir,
+        cachename=cache_by_fname,
+        chunksize=1024**2,
+        verbose=False,
+        makedir=True,
+    ) -> None:
+        super().__init__()
+        if not os.path.exists(cachedir):
+            if makedir:
+                os.makedirs(cachedir)
+            else:
+                raise ValueError(f"Cache directory {cachedir} does not exist.")
+        self.source_datapipe: IterDataPipe[Tuple[str, Any]] = source_datapipe
+        self.cachedir = cachedir
+        self.cachename = cachename
+        self.verbose = verbose
+        self.chunksize = chunksize
+
+    def __iter__(self) -> Iterator[Dict]:
+        for url, stream in self.source_datapipe:
+            cached = os.path.join(self.cachedir, self.cachename(url))
+            if not os.path.exists(cached):
+                if self.verbose:
+                    print(f"# downloading {url} to {cached}", file=sys.stderr)
+                with open(cached + ".temp", "wb") as dest:
+                    shutil.copyfileobj(stream, dest, self.chunksize)
+                os.rename(cached + ".temp", cached)
+            if self.verbose:
+                print(f"# returning {cached}", file=sys.stderr)
+            cached_stream = open(cached, "rb")
+            yield url, StreamWrapper(cached_stream)
+
+    def __len__(self) -> int:
+        return len(self.source_datapipe)