hydai · Oct 5, 2026 · Oct 1, 2026
@@ -1,2 +1,2 @@
-WASMEDGE_VERSION='0.17.2'
+WASMEDGE_VERSION='0.18.0'
 WASMEDGE_GO_VERSION='0.14.0'
@@ -65,6 +65,7 @@ The actual installer handles all stuff. It supports python2.7 (not tested on ear
 - Description: Install the given VERSION of WasmEdge
 - Available Value: VERSION `{{ wasmedge_version }}` or other valid release versions.
 - Note - If supplied an invalid or nonexistent version, the installer exits with an error.
+- Note - The installer only supports installing WasmEdge `0.13.0` and the later versions.
 
 ### Installation path
 
@@ -74,6 +75,11 @@ The actual installer handles all stuff. It supports python2.7 (not tested on ear
 - Note - Any paths other than the ones starting with `/usr` are treated as non-system paths in the internals of the installer. The consequences are different directory structures for both.
 - Note - If the path not exists, the folder will be created.
 
+### Skip modifying the shell profiles
+
+- Full Option: `--no-modify-shell-profile`
+- Description: Do not modify the shell profile or startup files. Users should source the generated `$INSTALLATION_PATH/env` file manually.
+
 ### Uninstallation
 
 #### Run uninstaller before installing
@@ -88,42 +94,11 @@ The actual installer handles all stuff. It supports python2.7 (not tested on ear
 - Full Option: `--uninstall-script-tag UNINSTALL_SCRIPT_TAG`
 - Description: Use the given GitHub tag to uninstall the script
 
-### Install Extensions
-
-- Short Option: `-e [EXTENSIONS [EXTENSIONS ...]]`
-- Full Option: `--extension [EXTENSIONS [EXTENSIONS ...]]`
-- Description: Install wasmedge-extension tools.
-- Available Value (case sensitive): Supported Extensions `'tensorflow', 'image', 'all'`.
-
-#### Tensorflow Extensions Library Version
-
-- Full Option: `--tf-version TF_VERSION`
-- Description: Install the given VERSION of the library of the Tensorflow and Tensorflow lite extension. Only available when the `Extensions` is set to `all` or `tensorflow`.
-- Note - It's the same as the WasmEdge version if not specified.
-
-#### Tensorflow Extensions Dependencies Version
-
-- Full Option: `--tf-deps-version TF_DEPS_VERSION`
-- Description: Install the given VERSION of the dependencies of the Tensorflow and Tensorflow lite extension. Only available when the `Extensions` is set to `all` or `tensorflow`.
-- Note - It's the same as the WasmEdge version if not specified.
-
-#### Tensorflow Extensions Tools Version
-
-- Full Option: `--tf-tools-version TF_TOOLS_VERSION`
-- Description: Install the given VERSION of the tools of the Tensorflow and Tensorflow lite extension. Only available when the `Extensions` is set to `all` or `tensorflow`.
-- Note - It's the same as the WasmEdge version if not specified.
-
-#### Image Extensions Version
-
-- Full Option: `--image-version IMAGE_VERSION`
-- Description: Install the given VERSION of the Image extension. Only available when the `Extensions` is set to `all` or `image`.
-- Note - It's the same as the WasmEdge version if not specified.
-
 ### Plugins
 
 - Note - Currently, `--plugins` is an experimental option.
 
-- Full Option: `--plugins wasi_crypto:0.12.0`
+- Full Option: `--plugins wasi_crypto:0.13.0`
 
 - Note - The format for this argument is `<plugin_name>:<version_number>`. `<version_number>` is not compulsory. For example, `--plugins wasi_crypto` is a valid option.
 - Note - `<plugin_name>` is cases sensitive. Allowed values are stated [here](plugin/intro.md) in the `Rust Crate` column. The logic is that the release name should be the same.

@@ -91,7 +91,7 @@ Developers can set the CMake options to customize the WasmEdge building.
 
 <!-- prettier-ignore -->
 :::note
-Since WasmEdge `0.17.2`, the build uses the system `blake3` library when it is available, and falls back to the vendored copy otherwise. Developers can set `-DCMAKE_DISABLE_FIND_PACKAGE_blake3=ON` to force the vendored copy. When the option `WASMEDGE_BUILD_STATIC_LIB` is set as `ON`, the vendored copy is always used.
+The build uses the system `blake3` library when it is available, and falls back to the vendored copy otherwise. Developers can set `-DCMAKE_DISABLE_FIND_PACKAGE_blake3=ON` to force the vendored copy. When the option `WASMEDGE_BUILD_STATIC_LIB` is set as `ON`, the vendored copy is always used.
 :::
 
 ## Build WasmEdge with Plug-ins

@@ -4,6 +4,11 @@ sidebar_position: 3
 
 # Build WasmEdge With WasmEdge-Process Plug-in
 
+<!-- prettier-ignore -->
+:::note
+The WasmEdge-Process plug-in is removed since WasmEdge `0.18.0`. This guide only applies to WasmEdge `0.17.2` and the earlier versions.
+:::
+
 The WasmEdge Process plug-in provides a sandboxed environment to execute system processes in a secured manner. This guide will walk you through the steps to build the WasmEdge Process plug-in.
 
 ## Prerequisites
@@ -41,4 +46,4 @@ Replace `your_wasm_file.wasm` with the path to your WebAssembly file. The `--pro
 
 That's it! You have successfully built and installed the WasmEdge Process plug-in.
 
-For more information, you can refer to the [GitHub repository](https://github.com/WasmEdge/WasmEdge/tree/master/plugins/wasmedge_process).
+For more information, you can refer to the [GitHub repository](https://github.com/WasmEdge/WasmEdge/tree/0.17.x/plugins/wasmedge_process).
@@ -34,15 +34,15 @@ Then you will have an executable `wasmedge` runtime under `/usr/local/bin` and t
 Installing the necessary `libtensorflow_cc.so` and `libtensorflow_framework.so` on both `Linux` and `MacOS` platforms, we recommend the following commands:
 
 ```bash
-curl -s -L -O --remote-name-all https://github.com/second-state/WasmEdge-tensorflow-deps/releases/download/TF-2.12.0-CC/WasmEdge-tensorflow-deps-TF-TF-2.12.0-CC-manylinux2014_x86_64.tar.gz
-# For the Linux aarch64 platforms, please use the `WasmEdge-tensorflow-deps-TF-TF-2.12.0-CC-manylinux2014_aarch64.tar.gz`.
-# For the MacOS x86_64 platforms, please use the `WasmEdge-tensorflow-deps-TF-TF-2.12.0-CC-darwin_x86_64.tar.gz`.
-# For the MacOS arm64 platforms, please use the `WasmEdge-tensorflow-deps-TF-TF-2.12.0-CC-darwin_arm64.tar.gz`.
-tar -zxf WasmEdge-tensorflow-deps-TF-TF-2.12.0-CC-manylinux2014_x86_64.tar.gz
-rm -f WasmEdge-tensorflow-deps-TF-TF-2.12.0-CC-manylinux2014_x86_64.tar.gz
+curl -s -L -O --remote-name-all https://github.com/second-state/WasmEdge-tensorflow-deps/releases/download/TF-2.21.0-CC/WasmEdge-tensorflow-deps-TF-TF-2.21.0-CC-manylinux_2_28_x86_64.tar.gz
+# For the Linux aarch64 platforms, please use the `WasmEdge-tensorflow-deps-TF-TF-2.21.0-CC-manylinux_2_28_aarch64.tar.gz`.
+# For the MacOS x86_64 platforms, please use the `WasmEdge-tensorflow-deps-TF-TF-2.21.0-CC-darwin_x86_64.tar.gz`.
+# For the MacOS arm64 platforms, please use the `WasmEdge-tensorflow-deps-TF-TF-2.21.0-CC-darwin_arm64.tar.gz`.
+tar -zxf WasmEdge-tensorflow-deps-TF-TF-2.21.0-CC-manylinux_2_28_x86_64.tar.gz
+rm -f WasmEdge-tensorflow-deps-TF-TF-2.21.0-CC-manylinux_2_28_x86_64.tar.gz
 ```
 
-The shared library will be extracted in the current directory `./libtensorflow_cc.so.2.12.0` and `./libtensorflow_framework.so.2.12.0` on `Linux` platforms, or `./libtensorflow_cc.2.12.0.dylib` and `./libtensorflow_framework.2.12.0.dylib` on `MacOS` platforms.
+The shared library will be extracted in the current directory `./libtensorflow_cc.so.2` and `./libtensorflow_framework.so.2` on `Linux` platforms, or `./libtensorflow_cc.2.dylib` and `./libtensorflow_framework.2.dylib` on `MacOS` platforms.
 
 <!-- prettier-ignore -->
 :::note
@@ -52,22 +52,18 @@ After building the plug-in, you can also find these shared libraries under the `
 Then you can move the library to the installation path and create the symbolic link:
 
 ```bash
-mv libtensorflow_cc.so.2.12.0 /usr/local/lib
-mv libtensorflow_framework.so.2.12.0 /usr/local/lib
-ln -s libtensorflow_cc.so.2.12.0 /usr/local/lib/libtensorflow_cc.so.2
+mv libtensorflow_cc.so.2 /usr/local/lib
+mv libtensorflow_framework.so.2 /usr/local/lib
 ln -s libtensorflow_cc.so.2 /usr/local/lib/libtensorflow_cc.so
-ln -s libtensorflow_framework.so.2.12.0 /usr/local/lib/libtensorflow_framework.so.2
 ln -s libtensorflow_framework.so.2 /usr/local/lib/libtensorflow_framework.so
 ```
 
 If on `MacOS` platforms:
 
 ```bash
-mv libtensorflow_cc.2.12.0.dylib /usr/local/lib
-mv libtensorflow_framework.2.12.0.dylib /usr/local/lib
-ln -s libtensorflow_cc.2.12.0.dylib /usr/local/lib/libtensorflow_cc.2.dylib
+mv libtensorflow_cc.2.dylib /usr/local/lib
+mv libtensorflow_framework.2.dylib /usr/local/lib
 ln -s libtensorflow_cc.2.dylib /usr/local/lib/libtensorflow_cc.dylib
-ln -s libtensorflow_framework.2.12.0.dylib /usr/local/lib/libtensorflow_framework.2.dylib
 ln -s libtensorflow_framework.2.dylib /usr/local/lib/libtensorflow_framework.dylib
 ```
 

@@ -34,12 +34,12 @@ Then you will have an executable `wasmedge` runtime under `/usr/local/bin` and t
 Installing the necessary `libtensorflowlite_c.so` and `libtensorflowlite_flex.so` on both `Linux` and `MacOS` platforms, we recommend the following commands:
 
 ```bash
-curl -s -L -O --remote-name-all https://github.com/second-state/WasmEdge-tensorflow-deps/releases/download/TF-2.12.0-CC/WasmEdge-tensorflow-deps-TFLite-TF-2.12.0-CC-manylinux2014_x86_64.tar.gz
-# For the Linux aarch64 platforms, please use the `WasmEdge-tensorflow-deps-TFLite-TF-2.12.0-CC-manylinux2014_aarch64.tar.gz`.
-# For the MacOS x86_64 platforms, please use the `WasmEdge-tensorflow-deps-TFLite-TF-2.12.0-CC-darwin_x86_64.tar.gz`.
-# For the MacOS arm64 platforms, please use the `WasmEdge-tensorflow-deps-TFLite-TF-2.12.0-CC-darwin_arm64.tar.gz`.
-tar -zxf WasmEdge-tensorflow-deps-TFLite-TF-2.12.0-CC-manylinux2014_x86_64.tar.gz
-rm -f WasmEdge-tensorflow-deps-TFLite-TF-2.12.0-CC-manylinux2014_x86_64.tar.gz
+curl -s -L -O --remote-name-all https://github.com/second-state/WasmEdge-tensorflow-deps/releases/download/TF-2.21.0-CC/WasmEdge-tensorflow-deps-TFLite-TF-2.21.0-CC-manylinux_2_28_x86_64.tar.gz
+# For the Linux aarch64 platforms, please use the `WasmEdge-tensorflow-deps-TFLite-TF-2.21.0-CC-manylinux_2_28_aarch64.tar.gz`.
+# For the MacOS x86_64 platforms, please use the `WasmEdge-tensorflow-deps-TFLite-TF-2.21.0-CC-darwin_x86_64.tar.gz`.
+# For the MacOS arm64 platforms, please use the `WasmEdge-tensorflow-deps-TFLite-TF-2.21.0-CC-darwin_arm64.tar.gz`.
+tar -zxf WasmEdge-tensorflow-deps-TFLite-TF-2.21.0-CC-manylinux_2_28_x86_64.tar.gz
+rm -f WasmEdge-tensorflow-deps-TFLite-TF-2.21.0-CC-manylinux_2_28_x86_64.tar.gz
 ```
 
 The shared library will be extracted in the current directory `./libtensorflowlite_c.so` and `./libtensorflowlite_flex.so` on `Linux` platforms, or `./libtensorflowlite_c.dylib` and `./libtensorflowlite_flex.dylib` on `MacOS` platforms.

@@ -110,12 +110,12 @@ cmake -GNinja -Bbuild -DCMAKE_BUILD_TYPE=Release -DWASMEDGE_PLUGIN_WASI_NN_BACKE
 cmake --build build
 ```
 
-Installing the necessary `libtensorflowlite_c.so` and `libtensorflowlite_flex.so` on both `Ubuntu 20.04` and `manylinux2014` for the backend, we recommend the following commands:
+Installing the necessary `libtensorflowlite_c.so` and `libtensorflowlite_flex.so` on both `Ubuntu 20.04` and `manylinux_2_28` for the backend, we recommend the following commands:
 
 ```bash
-curl -s -L -O --remote-name-all https://github.com/second-state/WasmEdge-tensorflow-deps/releases/download/TF-2.12.0-CC/WasmEdge-tensorflow-deps-TFLite-TF-2.12.0-CC-manylinux2014_x86_64.tar.gz
-tar -zxf WasmEdge-tensorflow-deps-TFLite-TF-2.12.0-CC-manylinux2014_x86_64.tar.gz
-rm -f WasmEdge-tensorflow-deps-TFLite-TF-2.12.0-CC-manylinux2014_x86_64.tar.gz
+curl -s -L -O --remote-name-all https://github.com/second-state/WasmEdge-tensorflow-deps/releases/download/TF-2.21.0-CC/WasmEdge-tensorflow-deps-TFLite-TF-2.21.0-CC-manylinux_2_28_x86_64.tar.gz
+tar -zxf WasmEdge-tensorflow-deps-TFLite-TF-2.21.0-CC-manylinux_2_28_x86_64.tar.gz
+rm -f WasmEdge-tensorflow-deps-TFLite-TF-2.21.0-CC-manylinux_2_28_x86_64.tar.gz
 ```
 
 The shared library will be extracted in the current directory `./libtensorflowlite_c.so` and `./libtensorflowlite_flex.so`.

@@ -8,7 +8,7 @@ The WasmEdge-OpenCVMini plug-in exposes a subset of [OpenCV](https://opencv.org/
 
 ## Prerequisites
 
-Since WasmEdge `0.17.2`, the plug-in requires OpenCV 5. Please install OpenCV 5 on your system.
+Install OpenCV 5 on your system.
 
 For macOS:
 
@@ -18,11 +18,6 @@ brew install opencv@5
 
 For Linux, the `libopencv-dev` package of most distributions still provides OpenCV 4. Please build and install OpenCV 5 from the [OpenCV source](https://github.com/opencv/opencv) instead.
 
-<!-- prettier-ignore -->
-:::note
-For WasmEdge `0.17.1` and earlier versions, the plug-in requires OpenCV 4, which can be installed by `sudo apt install -y libopencv-dev` on Ubuntu or `brew install opencv` on macOS.
-:::
-
 ## Build WasmEdge with WasmEdge-OpenCVMini Plug-in
 
 To enable the WasmEdge-OpenCVMini plug-in, developers need to [build WasmEdge from source](https://github.com/WasmEdge/docs/blob/main/docs/contribute/source/os/linux.md) with the cmake option `-DWASMEDGE_PLUGIN_OPENCVMINI=ON`.

@@ -4,6 +4,11 @@ sidebar_position: 11
 
 # Command interface
 
+<!-- prettier-ignore -->
+:::note
+The command interface relies on the WasmEdge-Process plug-in, which is removed since WasmEdge `0.18.0`. This guide only applies to WasmEdge `0.17.2` and the earlier versions.
+:::
+
 WASI enables WebAssembly programs to call standard library functions in the host operating system. It does so through a fine-grained security model known as “capability-based security”. The WebAssembly VM owner can grant access to host system resources when the VM starts. The program cannot access resources (e.g., file folders) that are not explicitly allowed.
 
 Now, why limit ourselves to standard library functions? The same approach can call just any host function from WebAssembly. WasmEdge provides a WASI-like extension to access command line programs in the host operating system.

@@ -127,7 +127,8 @@ sys 0m0.011s
 
 ## API References
 
-- [0.17.2](reference/latest.md)
+- [0.18.0](reference/latest.md)
+- [0.17.2](reference/0.17.x.md)
 - [0.16.3](reference/0.16.x.md)
 - [0.15.1](reference/0.15.x.md)
 - [0.14.1](reference/0.14.x.md)

@@ -1,5 +1,5 @@
 ---
-sidebar_position: 15
+sidebar_position: 17
 ---
 
 # C API 0.10.1 Documentation

@@ -1,5 +1,5 @@
 ---
-sidebar_position: 13
+sidebar_position: 15
 ---
 
 # C API 0.11.2 Documentation

@@ -1,5 +1,5 @@
 ---
-sidebar_position: 11
+sidebar_position: 13
 ---
 
 # C API 0.12.1 Documentation

@@ -1,5 +1,5 @@
 ---
-sidebar_position: 9
+sidebar_position: 11
 ---
 
 # C API 0.13.5 Documentation

@@ -1,5 +1,5 @@
 ---
-sidebar_position: 7
+sidebar_position: 9
 ---
 
 # C API 0.14.1 Documentation

@@ -1,5 +1,5 @@
 ---
-sidebar_position: 5
+sidebar_position: 7
 ---
 
 # C API 0.15.1 Documentation

@@ -1,5 +1,5 @@
 ---
-sidebar_position: 3
+sidebar_position: 5
 ---
 
 # C API 0.16.3 Documentation