diff --git a/examples/actors/most_basic_supervisor.py b/examples/actors/most_basic_supervisor.py
new file mode 100644
index 0000000..45dad34
--- /dev/null
+++ b/examples/actors/most_basic_supervisor.py
@@ -0,0 +1,86 @@
+import trio
+import tractor
+
+
+class Restart(Exception):
+    """Restart signal"""
+
+
+async def sleep_then_restart():
+    actor = tractor.current_actor()
+    print(f'{actor.uid} starting up!')
+    await trio.sleep(0.5)
+    raise Restart('This is a restart signal')
+
+
+async def signal_restart_whole_actor():
+    actor = tractor.current_actor()
+    print(f'{actor.uid} starting up!')
+    await trio.sleep(0.5)
+    return 'restart_me'
+
+
+async def respawn_remote_task(portal):
+    # start a task in the actor at the other end
+    # of the provided portal, when it signals a restart,
+    # restart it..
+
+    # This is much more efficient then restarting the undlerying
+    # process over and over since the python interpreter runtime
+    # stays up and we just submit a new task to run (which
+    # is just the original one we submitted repeatedly.
+    while True:
+        try:
+            await portal.run(sleep_then_restart)
+        except tractor.RemoteActorError as error:
+            if 'Restart' in str(error):
+                # respawn the actor task
+                continue
+
+
+async def supervisor():
+
+    async with tractor.open_nursery() as tn:
+
+        p0 = await tn.start_actor('task_restarter', enable_modules=[__name__])
+
+        # Yes, you can do this from multiple tasks on one actor
+        # or mulitple lone tasks in multiple subactors.
+        # We'll show both.
+
+        async with trio.open_nursery() as n:
+            # we'll doe the first as a lone task restart in a daemon actor
+            for i in range(4):
+                n.start_soon(respawn_remote_task, p0)
+
+            # Open another nursery that will respawn sub-actors
+
+            # spawn a set of subactors that will signal restart
+            # of the group of processes on each failures
+            portals = []
+
+            # start initial subactor set
+            for i in range(4):
+                p = await tn.run_in_actor(signal_restart_whole_actor)
+                portals.append(p)
+
+            # now wait on results and respawn actors
+            # that request it
+            while True:
+
+                for p in portals:
+                    result = await p.result()
+
+                    if result == 'restart_me':
+                        print(f'restarting {p.channel.uid}')
+                        await p.cancel_actor()
+                        await trio.sleep(0.5)
+                        p = await tn.run_in_actor(signal_restart_whole_actor)
+                        portals.append(p)
+
+    # this will block indefinitely so user must
+    # cancel with ctrl-c
+
+
+if __name__ == '__main__':
+    trio.run(supervisor)