diff --git a/CHANGELOG.md b/CHANGELOG.md
index 117f25f7a1..6a9c04c2cc 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,11 +1,15 @@
 # Changelog
 
+## 3.22.0 Jun 20, 2024
+
+### Enhancements:
+- Add filesystem-based backend for artifact storage (gpascale)
+
 ## 3.21.0 Jun 17, 2024
 
 ### Enhancements:
 - Add feature to delete full experiments (mauricekraus)
 - Add support for python 3.12 (mahnerak)
-- Add filesystem-based backend for artifact storage (gpascale)
 
 ### Fixes:
 - Increase websockets max_size for large images sent to server (jasonmads)
diff --git a/aim/VERSION b/aim/VERSION
index 6075c9a9ff..a7e7070f80 100644
--- a/aim/VERSION
+++ b/aim/VERSION
@@ -1 +1 @@
-3.21.0
+3.22.0
diff --git a/aim/web/ui/package.json b/aim/web/ui/package.json
index 4b275d3b82..57771b3bee 100644
--- a/aim/web/ui/package.json
+++ b/aim/web/ui/package.json
@@ -1,6 +1,6 @@
 {
   "name": "ui_v2",
-  "version": "3.21.0",
+  "version": "3.22.0",
   "private": true,
   "dependencies": {
     "@aksel/structjs": "^1.0.0",
diff --git a/docs/source/using/artifacts.md b/docs/source/using/artifacts.md
index 43cee1b769..464ad5a513 100644
--- a/docs/source/using/artifacts.md
+++ b/docs/source/using/artifacts.md
@@ -17,6 +17,9 @@ import aim
 run = aim.Run()
 # Use S3 as artifacts storage
 run.set_artifacts_uri('s3://aim/artifacts/')
+
+# Use file-system as artifacts storage
+run.set_artifacts_uri('file:///home/user/aim/artifacts/')
 ```
 Aim will create directory with the name of `run.hash` and store all artifacts there. 
 Note that setting artifacts storage URI is required only once per run.
@@ -38,10 +41,18 @@ or network shared FS might be a good option. In case of the large models, cloud-
 stores, such as AWS S3, may be a better choice.
 
 When the artifacts URI is set, Aim will detect storage backend based on the URI scheme.
-Currently, S3 is the only supported backend for artifacts storage.
+Currently supported backends for artifacts storage are.
+- S3
+- File System
 
 #### S3 Artifacts Storage Backend
 
 Aim uses `boto3` Python package for accessing AWS resources. No additional credentials
 validation os done on the Aim side. More details on how credentials configuration is done
-for `boto3` is available [here](https://boto3.amazonaws.com/v1/documentation/api/latest/guide/credentials.html).
\ No newline at end of file
+for `boto3` is available [here](https://boto3.amazonaws.com/v1/documentation/api/latest/guide/credentials.html).
+
+#### File-system Artifacts Storage Backend
+
+Aim provides ability to use mounted FS as an artifact storage. Any kind of storage that provides a mounted FS
+interface can thus be used as Aim artifact storage. However, performance of the solution should be considered
+when choosing this approach.