diff --git a/ai/Kconfig b/ai/Kconfig
index 233db460ac..42437e0ee2 100644
--- a/ai/Kconfig
+++ b/ai/Kconfig
@@ -12,5 +12,6 @@ source "$PKGS_DIR/packages/ai/naxos/Kconfig"
 source "$PKGS_DIR/packages/ai/ncnn/Kconfig"
 source "$PKGS_DIR/packages/ai/r-tinymaix/Kconfig"
 source "$PKGS_DIR/packages/ai/llmchat/Kconfig"
+source "$PKGS_DIR/packages/ai/LiME-TM/Kconfig"
 
 endmenu
diff --git a/ai/LiME-TM/Kconfig b/ai/LiME-TM/Kconfig
new file mode 100644
index 0000000000..03fc007897
--- /dev/null
+++ b/ai/LiME-TM/Kconfig
@@ -0,0 +1,70 @@
+
+# Kconfig file for package ulapack
+menuconfig PKG_USING_LIME_TM
+    select RT_USING_POSIX_FS
+    bool "LiME-TM: Lightning fast and Memory Efficient Machine Learning for MCU (Tsetlin Machine)"
+    default n
+
+if PKG_USING_LIME_TM
+
+    config PKG_LIME_TM_PATH
+        string
+        default "/packages/ai/LiME-TM"
+
+    choice
+        prompt "Choose exmaple"
+
+        config LIME_TM_USING_MNIST_FS_EXAMPLE
+            bool "Training and testing MNIST example (File System)"
+            select TSETLIN_USING_PROTOBUF
+            help
+               Training a compressed Tsetlin Machine model on the MNIST dataset.
+            default n
+
+        config LIME_TM_USING_MNIST_STATIC_EXAMPLE
+            bool "Training and testing MNIST example (Static Model)"
+            select TSETLIN_USING_STATIC_MODEL
+            select TSETLIN_MODEL_TRAINABLE
+            help
+               Training a compressed Tsetlin Machine model on the MNIST dataset.
+            default y
+    endchoice
+
+    config TSETLIN_USING_PROTOBUF
+        bool "Load model from protobuf file"
+        help
+           Using proto-c to save the model as a protobuf file.
+        depends on LIME_TM_USING_MNIST_FS_EXAMPLE
+        default y
+
+    config TSETLIN_MODEL_TRAINABLE
+        bool "Enable model training"
+        help
+              Enabling this option allows the model to be trained on-device.
+        default y
+
+    config TSETLIN_USING_STATIC_MODEL
+        bool "Load model from static headers"
+        help
+           Using the tsetlin compiler to save the model as a static C header file.
+        depends on LIME_TM_USING_MNIST_STATIC_EXAMPLE
+        default y
+
+    choice
+        prompt "Version"
+        default PKG_USING_LIME_TM_LATEST_VERSION
+        help
+            Select the package version
+        config PKG_USING_LIME_TM_LATEST_VERSION
+            bool "latest"
+    endchoice
+
+    config PKG_LIME_TM_VER
+       string
+       default "latest"    if PKG_USING_LIME_TM_LATEST_VERSION
+
+    config PKG_LIME_TM_VER_NUM
+        hex
+        default 0x99999 if PKG_USING_LIME_TM_LATEST_VERSION
+
+endif
diff --git a/ai/LiME-TM/package.json b/ai/LiME-TM/package.json
new file mode 100644
index 0000000000..ddd2fe6129
--- /dev/null
+++ b/ai/LiME-TM/package.json
@@ -0,0 +1,27 @@
+{
+  "name": "lime-tm",
+  "description": "Lightning fast and Memory Efficient Machine Learning for MCU (Tsetlin Machine)",
+  "description_zh": "嵌入式机器学习库",
+  "enable": "PKG_USING_LIME_TM",
+  "keywords": [
+    "Machine Learning",
+    "Tsetlin Machine"
+  ],
+  "category": "ai",
+  "author": {
+    "name": "wuhanstudio",
+    "email": "wuhanstudio@qq.com",
+    "github": "wuhanstudio"
+  },
+  "license": "MIT",
+  "repository": "https://github.com/wuhanstudio/tsetlin.idf",
+  "homepage": "https://github.com/wuhanstudio/tsetlin.idf#readme",
+  "site": [
+    {
+      "version": "latest",
+      "URL": "https://github.com/wuhanstudio/tsetlin.idf.git",
+      "filename": "",
+      "VER_SHA": "main"
+    }
+  ]
+}