diff --git a/config/haste_storage_client_config.json b/config/haste_storage_client_config.json
index 5d14421..902f1b3 100644
--- a/config/haste_storage_client_config.json
+++ b/config/haste_storage_client_config.json
@@ -9,5 +9,8 @@
     "user_domain_name": "xxxx",
     "auth_url": "xxxxx",
     "project_domain_name": "xxxx"
+  },
+  "local_storage": {
+    "folder": "/ubuntu/haste_storage"
   }
 }
diff --git a/examples/timeseries.py b/examples/timeseries.py
new file mode 100644
index 0000000..72bf42c
--- /dev/null
+++ b/examples/timeseries.py
@@ -0,0 +1,41 @@
+""" Example of usage, high-level API. """
+
+import haste
+from   haste.hastestorageclient import HasteStorageClient
+
+import numpy 
+
+
+class HasteCollection: 
+   """ Collection of tuples """
+
+class Experiment(HasteCollection):
+
+class TimeSeries:
+    """ Encodes a time series object. """ 
+
+    def __init__(self):
+
+# The storage client will be used to handle data
+sc = HasteStorageClient()
+
+# Create an experiment 
+# name should probably be unique, and map directly to the "root stream id"
+E = haste.Experiment(storage_client=sc)
+
+# Add a time series to the experiment
+ts = haste.TimeSeries()
+
+# By adding the ts to the experiment, it will be assigned a unique substream-id, 
+# linked somehow to the root stream id of the experiment. 
+E.add(ts)
+
+# Now add (time, spatial_data_frame) tuples to the timeseries.
+# They should be automatically handled by the storage client (i.e. passed through feature exraction, classification and policy-evaluation) 
+tspan = numpy.linspace(0,10.0,100)
+for t in tspan:
+    data = 100*["Large spatial dataframe goes here."]
+    ts.append((t,data))
+
+
+
diff --git a/haste_storage_client/storage.py b/haste_storage_client/storage.py
index d22bf6d..a7f4657 100644
--- a/haste_storage_client/storage.py
+++ b/haste_storage_client/storage.py
@@ -18,6 +18,15 @@ def close(self):
 # The auth token expires after 24 hours by default, but refresh more frequently:
 OS_SWIFT_CONN_MAX_LIFETIME_SECONDS = 60 * 60
 
+class LocalStorage(Storage):
+
+    def __init__(self, config):
+       self.config = config
+
+    def save_blob(self, blob_bytes, blob_id):
+       with open("{0}/{1}".format(config["folder"],blob_id),"w") as fh:
+            fh.write(blob_bytes)
+
 
 class OsSwiftStorage(Storage):
 
diff --git a/readme.md b/readme.md
index 61ac720..82e50ea 100644
--- a/readme.md
+++ b/readme.md
@@ -5,7 +5,7 @@ For now, this simply calls the MongoDB and Swift Container clients. Python 3.x.
 ## Installation
 For installation in [development mode](https://setuptools.readthedocs.io/en/latest/setuptools.html#development-mode):
 ```
-git clone https://github.com/benblamey/HasteStorageClient.git
+git clone https://github.com/HASTE-project/HasteStorageClient.git
 cd HasteStorageClient
 pip3 install -e .
 ```
@@ -27,3 +27,7 @@ instead of specifying config in constructor.
 ### Note
 It isn't possible to connect to the database server from outside the SNIC cloud, so for local dev/testing you'll
 need to use port forwarding from another machine. https://help.ubuntu.com/community/SSH/OpenSSH/PortForwarding
+
+
+## Contributors
+Ben Blamey, Andreas Hellander