diff --git a/lib/ansible/plugins/callback/cgroup_memory_recap.py b/lib/ansible/plugins/callback/cgroup_memory_recap.py
new file mode 100644
index 0000000000..c20f1fff2a
--- /dev/null
+++ b/lib/ansible/plugins/callback/cgroup_memory_recap.py
@@ -0,0 +1,121 @@
+# -*- coding: utf-8 -*-
+# (c) 2018 Matt Martz <matt@sivel.net>
+# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
+
+# Make coding more python3-ish
+from __future__ import (absolute_import, division, print_function)
+__metaclass__ = type
+
+ANSIBLE_METADATA = {'metadata_version': '1.1',
+                    'status': ['preview'],
+                    'supported_by': 'community'}
+
+DOCUMENTATION = '''
+    callback: cgroup_memory_recap
+    callback_type: aggregate
+    requirements:
+      - whitelist in configuration
+      - cgroups
+    short_description: Profiles maximum memory usage of tasks and full execution using cgroups
+    version_added: "2.6"
+    description:
+        - This is an ansible callback plugin that profiles maximum memory usage of ansible and individual tasks, and displays a recap at the end using cgroups
+    notes:
+        - Requires ansible to be run from within a cgroup, such as with C(cgexec -g memory:ansible_profile ansible-playbook ...)
+        - This cgroup should only be used by ansible to get accurate results
+        - To create the cgroup, first use a command such as C(sudo cgcreate -a ec2-user:ec2-user -t ec2-user:ec2-user -g memory:ansible_profile)
+    options:
+      max_mem_file:
+        required: True
+        description: Path to cgroups C(memory.max_usage_in_bytes) file. Example C(/sys/fs/cgroup/memory/ansible_profile/memory.max_usage_in_bytes)
+        env:
+          - name: CGROUP_MAX_MEM_FILE
+        ini:
+          - section: callback_cgroupmemrecap
+            key: max_mem_file
+      cur_mem_file:
+        required: True
+        description: Path to C(memory.usage_in_bytes) file. Example C(/sys/fs/cgroup/memory/ansible_profile/memory.usage_in_bytes)
+        env:
+          - name: CGROUP_CUR_MEM_FILE
+        ini:
+          - section: callback_cgroupmemrecap
+            key: cur_mem_file
+'''
+
+import time
+import threading
+
+from ansible.plugins.callback import CallbackBase
+
+
+class MemProf(threading.Thread):
+    """Python thread for recording memory usage"""
+    def __init__(self, path, obj=None):
+        threading.Thread.__init__(self)
+        self.obj = obj
+        self.path = path
+        self.results = []
+        self.running = True
+
+    def run(self):
+        while self.running:
+            with open(self.path) as f:
+                val = f.read()
+            self.results.append(int(val.strip()) / 1024 / 1024)
+            time.sleep(0.001)
+
+
+class CallbackModule(CallbackBase):
+    CALLBACK_VERSION = 2.0
+    CALLBACK_TYPE = 'aggregate'
+    CALLBACK_NAME = 'cgroup_memory_recap'
+    CALLBACK_NEEDS_WHITELIST = True
+
+    def __init__(self, display=None):
+        super(CallbackModule, self).__init__(display)
+
+        self._task_memprof = None
+
+        self.task_results = []
+
+    def set_options(self, task_keys=None, var_options=None, direct=None):
+        super(CallbackModule, self).set_options(task_keys=task_keys, var_options=var_options, direct=direct)
+
+        self.cgroup_max_file = self.get_option('max_mem_file')
+        self.cgroup_current_file = self.get_option('cur_mem_file')
+
+        with open(self.cgroup_max_file, 'w+') as f:
+            f.write('0')
+
+    def _profile_memory(self, obj=None):
+        prev_task = None
+        results = None
+        try:
+            self._task_memprof.running = False
+            results = self._task_memprof.results
+            prev_task = self._task_memprof.obj
+        except AttributeError:
+            pass
+
+        if obj is not None:
+            self._task_memprof = MemProf(self.cgroup_current_file, obj=obj)
+            self._task_memprof.start()
+
+        if results is not None:
+            self.task_results.append((prev_task, max(results)))
+
+    def v2_playbook_on_task_start(self, task, is_conditional):
+        self._profile_memory(task)
+
+    def v2_playbook_on_stats(self, stats):
+        self._profile_memory()
+
+        with open(self.cgroup_max_file) as f:
+            max_results = int(f.read().strip()) / 1024 / 1024
+
+        self._display.banner('CGROUP MEMORY RECAP')
+        self._display.display('Execution Maximum: %0.2fMB\n\n' % max_results)
+
+        for task, memory in self.task_results:
+            self._display.display('%s (%s): %0.2fMB' % (task.get_name(), task._uuid, memory))