diff --git a/mailcow/src/mailcow-dockerized/helper-scripts/reset-learns.sh b/mailcow/src/mailcow-dockerized/helper-scripts/reset-learns.sh
new file mode 100755
index 0000000..9fd1123
--- /dev/null
+++ b/mailcow/src/mailcow-dockerized/helper-scripts/reset-learns.sh
@@ -0,0 +1,30 @@
+#!/usr/bin/env bash
+
+read -r -p "Are you sure you want to reset learned hashes from Rspamd (fuzzy, bayes, neural)? [y/N] " response
+response=${response,,}    # tolower
+if [[ "$response" =~ ^(yes|y)$ ]]; then
+  echo "Working, please wait..."
+  REDIS_ID=$(docker ps -qf name=redis-mailcow)
+  RSPAMD_ID=$(docker ps -qf name=rspamd-mailcow)
+
+  if [ -z ${REDIS_ID} ] || [ -z ${RSPAMD_ID} ]; then
+    echo "Cannot determine Redis or Rspamd container ID"
+    exit 1
+  else
+    echo "Stopping Rspamd container"
+    docker stop ${RSPAMD_ID}
+    echo "LUA will return nil when it succeeds or print a warning/error when it fails."
+    echo "Deleting all RS* keys - if any"
+    docker exec -it ${REDIS_ID} redis-cli EVAL "for _,k in ipairs(redis.call('keys', ARGV[1])) do redis.call('del', k) end" 0 'RS*'
+    echo "Deleting all BAYES* keys - if any"
+    docker exec -it ${REDIS_ID} redis-cli EVAL "for _,k in ipairs(redis.call('keys', ARGV[1])) do redis.call('del', k) end" 0 'BAYES*'
+    echo "Deleting all learned* keys - if any"
+    docker exec -it ${REDIS_ID} redis-cli EVAL "for _,k in ipairs(redis.call('keys', ARGV[1])) do redis.call('del', k) end" 0 'learned*'
+    echo "Deleting all fuzzy* keys - if any"
+    docker exec -it ${REDIS_ID} redis-cli EVAL "for _,k in ipairs(redis.call('keys', ARGV[1])) do redis.call('del', k) end" 0 'fuzzy*'
+    echo "Deleting all tRFANN* keys - if any"
+    docker exec -it ${REDIS_ID} redis-cli EVAL "for _,k in ipairs(redis.call('keys', ARGV[1])) do redis.call('del', k) end" 0 'tRFANN*'
+    echo "Starting Rspamd container"
+    docker start ${RSPAMD_ID}
+  fi
+fi