diff --git a/hgext/remotefilelog/cacheclient.py b/hgext/remotefilelog/cacheclient.py
deleted file mode 100755
--- a/hgext/remotefilelog/cacheclient.py
+++ /dev/null
@@ -1,213 +0,0 @@
-#!/usr/bin/env python
-# cacheclient.py - example cache client implementation
-#
-# Copyright 2013 Facebook, Inc.
-#
-# This software may be used and distributed according to the terms of the
-# GNU General Public License version 2 or any later version.
-
-# The remotefilelog extension can optionally use a caching layer to serve
-# file revision requests. This is an example implementation that uses
-# the python-memcached library: https://pypi.python.org/pypi/python-memcached/
-# A better implementation would make all of the requests non-blocking.
-from __future__ import absolute_import
-
-import os
-import sys
-
-import memcache
-
-stdin = sys.stdin
-stdout = sys.stdout
-stderr = sys.stderr
-
-mc = None
-keyprefix = None
-cachepath = None
-
-# Max number of keys per request
-batchsize = 1000
-
-# Max value size per key (in bytes)
-maxsize = 512 * 1024
-
-def readfile(path):
-    f = open(path, "r")
-    try:
-        return f.read()
-    finally:
-        f.close()
-
-def writefile(path, content):
-    dirname = os.path.dirname(path)
-    if not os.path.exists(dirname):
-        os.makedirs(dirname)
-
-    f = open(path, "w")
-    try:
-        f.write(content)
-    finally:
-        f.close()
-
-def compress(value):
-    # Real world implementations will want to compress values.
-    # Insert your favorite compression here, ex:
-    # return lz4wrapper.lzcompresshc(value)
-    return value
-
-def decompress(value):
-    # Real world implementations will want to compress values.
-    # Insert your favorite compression here, ex:
-    # return lz4wrapper.lz4decompress(value)
-    return value
-
-def generateKey(id):
-    return keyprefix + id
-
-def generateId(key):
-    return key[len(keyprefix):]
-
-def getKeys():
-    raw = stdin.readline()[:-1]
-    keycount = int(raw)
-
-    keys = []
-    for i in range(keycount):
-        id = stdin.readline()[:-1]
-        keys.append(generateKey(id))
-
-    results = mc.get_multi(keys)
-
-    hits = 0
-    for i, key in enumerate(keys):
-        value = results.get(key)
-        id = generateId(key)
-        # On hit, write to disk
-        if value:
-            # Integer hit indicates a large file
-            if isinstance(value, int):
-                largekeys = list([key + str(i) for i in range(value)])
-                largevalues = mc.get_multi(largekeys)
-                if len(largevalues) == value:
-                    value = ""
-                    for largekey in largekeys:
-                        value += largevalues[largekey]
-                else:
-                    # A chunk is missing, give up
-                    stdout.write(id + "\n")
-                    stdout.flush()
-                    continue
-            path = os.path.join(cachepath, id)
-            value = decompress(value)
-            writefile(path, value)
-            hits += 1
-        else:
-            # On miss, report to caller
-            stdout.write(id + "\n")
-            stdout.flush()
-
-        if i % 500 == 0:
-            stdout.write("_hits_%s_\n" % hits)
-            stdout.flush()
-
-    # done signal
-    stdout.write("0\n")
-    stdout.flush()
-
-def setKeys():
-    raw = stdin.readline()[:-1]
-    keycount = int(raw)
-
-    values = {}
-    for i in range(keycount):
-        id = stdin.readline()[:-1]
-        path = os.path.join(cachepath, id)
-
-        value = readfile(path)
-        value = compress(value)
-
-        key = generateKey(id)
-        if len(value) > maxsize:
-            # split up large files
-            start = 0
-            i = 0
-            while start < len(value):
-                end = min(len(value), start + maxsize)
-                values[key + str(i)] = value[start:end]
-                start += maxsize
-                i += 1
-
-            # Large files are stored as an integer representing how many
-            # chunks it's broken into.
-            value = i
-
-        values[key] = value
-
-        if len(values) == batchsize:
-            mc.set_multi(values)
-            values = {}
-
-    if values:
-        mc.set_multi(values)
-
-def main(argv=None):
-    """
-    remotefilelog uses this cacheclient by setting it in the repo config:
-
-    [remotefilelog]
-    cacheprocess = cacheclient <ip address:port> <memcache prefix>
-
-    When memcache requests need to be made, it will execute this process
-    with the following arguments:
-
-    cacheclient <ip address:port> <memcache prefix><internal prefix> <cachepath>
-
-    Communication happens via stdin and stdout. To make a get request,
-    the following is written to stdin:
-
-    get\n
-    <key count>\n
-    <key1>\n
-    <key...>\n
-    <keyN>\n
-
-    The results of any cache hits will be written directly to <cachepath>/<key>.
-    Any cache misses will be written to stdout in the form <key>\n. Once all
-    hits and misses are finished 0\n will be written to stdout to signal
-    completion.
-
-    During the request, progress may be reported via stdout with the format
-    _hits_###_\n where ### is an integer representing the number of hits so
-    far. remotefilelog uses this to display a progress bar.
-
-    A single cacheclient process may be used for multiple requests (though
-    not in parallel), so it stays open until it receives exit\n via stdin.
-
-    """
-    if argv is None:
-        argv = sys.argv
-
-    global cachepath
-    global keyprefix
-    global mc
-
-    ip = argv[1]
-    keyprefix = argv[2]
-    cachepath = argv[3]
-
-    mc = memcache.Client([ip], debug=0)
-
-    while True:
-        cmd = stdin.readline()[:-1]
-        if cmd == "get":
-            getKeys()
-        elif cmd == "set":
-            setKeys()
-        elif cmd == "exit":
-            return 0
-        else:
-            stderr.write("Invalid Command %s\n" % cmd)
-            return 1
-
-if __name__ == "__main__":
-    sys.exit(main())