diff --git a/frameworks/ollama/0.18.1/Dockerfile b/frameworks/ollama/0.18.1/Dockerfile
new file mode 100644
index 0000000000000000000000000000000000000000..07d782b650bfe2873c574cfbd0f72b5e8a979cb5
--- /dev/null
+++ b/frameworks/ollama/0.18.1/Dockerfile
@@ -0,0 +1,23 @@
+FROM opencloudos/opencloudos9-cuda-devel:12.8
+
+LABEL maintainer="OpenCloudOS Community"
+LABEL org.opencontainers.image.source="https://gitee.com/OpenCloudOS/ai-agent-container"
+LABEL org.opencontainers.image.description="Ollama v0.18.1 (GPU) on OpenCloudOS 9"
+
+RUN dnf install -y \
+    curl \
+    zstd \
+    && dnf clean all \
+    && rm -rf /var/cache/yum/*
+
+ARG OLLAMA_VERSION=0.18.1
+RUN curl -fsSL "https://github.com/ollama/ollama/releases/download/v${OLLAMA_VERSION}/ollama-linux-amd64.tar.zst" \
+    | zstd -d | tar x -C /usr
+
+ENV NVIDIA_VISIBLE_DEVICES=all
+ENV OLLAMA_HOST=0.0.0.0:11434
+EXPOSE 11434
+
+RUN echo $(date +"%Y-%m-%dT%H:%M:%S%z") > /opencloudos_build_date.txt
+
+CMD ["ollama", "serve"]
diff --git a/frameworks/ollama/0.18.1/README.md b/frameworks/ollama/0.18.1/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..82c79b0439c054139c3d842ff74e2b1b6f0f4b35
--- /dev/null
+++ b/frameworks/ollama/0.18.1/README.md
@@ -0,0 +1,68 @@
+# Ollama v0.18.1 on OpenCloudOS 9
+
+## 基本信息
+
+- **框架版本**：v0.18.1
+- **开源地址**：[https://github.com/ollama/ollama](https://github.com/ollama/ollama)
+- **基础镜像**：opencloudos9-cuda-devel:12.8
+- **Python 版本**：N/A（Go 编译二进制，无需 Python）
+- **CUDA 版本**：12.8（基础镜像），Ollama 内部自带 CUDA 运行时库
+- **默认端口**：11434
+
+## 构建命令
+
+```bash
+docker build -t oc9-ollama:0.18.1 frameworks/ollama/0.18.1/
+```
+
+## 使用示例
+
+### 启动 Ollama 服务
+
+```bash
+docker run -d --gpus all --name ollama \
+  -p 11434:11434 \
+  -v ollama-models:/root/.ollama \
+  oc9-ollama:0.18.1
+```
+
+### CPU 模式（不挂载 GPU）
+
+```bash
+docker run -d --name ollama \
+  -p 11434:11434 \
+  -v ollama-models:/root/.ollama \
+  oc9-ollama:0.18.1
+```
+
+### 运行模型
+
+```bash
+# 进入容器拉取并运行模型
+docker exec -it ollama ollama run qwen3:0.6b
+```
+
+### 调用 API
+
+```bash
+# 查看已安装模型
+curl http://localhost:11434/api/tags
+
+# 聊天对话
+curl http://localhost:11434/api/chat -d '{
+  "model": "qwen3:0.6b",
+  "messages": [{"role": "user", "content": "你好"}]
+}'
+```
+
+## 技术说明
+
+- Ollama 为 Go 编译的独立二进制，内部已打包 CUDA 运行时库，无需额外安装 CUDA
+- 使用 `opencloudos9-cuda-devel` 基础镜像以兼容 NVIDIA GPU 驱动
+- 模型数据默认存储在 `/root/.ollama`，建议通过 Volume 持久化
+- 支持 NVIDIA GPU（CUDA）和 CPU 模式自动切换
+
+## 已知问题
+
+- 首次拉取大模型时需要较长下载时间，建议提前拉取或使用镜像源
+- ARM64 架构需替换 Dockerfile 中的 `amd64` 为 `arm64`
diff --git a/frameworks/ollama/0.18.1/build.conf b/frameworks/ollama/0.18.1/build.conf
new file mode 100644
index 0000000000000000000000000000000000000000..fbb3bdbe3ebc51692a97b007f5cd6ca9c683e14f
--- /dev/null
+++ b/frameworks/ollama/0.18.1/build.conf
@@ -0,0 +1,4 @@
+# ollama 0.18.1 on OpenCloudOS 9 (GPU)
+IMAGE_NAME=oc9-ollama
+IMAGE_TAG=0.18.1
+GPU_TEST=false
diff --git a/frameworks/ollama/0.18.1/test.sh b/frameworks/ollama/0.18.1/test.sh
new file mode 100755
index 0000000000000000000000000000000000000000..5ba461e4dc6c070a22085b11e5df7315a21f40ee
--- /dev/null
+++ b/frameworks/ollama/0.18.1/test.sh
@@ -0,0 +1,110 @@
+#!/usr/bin/env bash
+set -e
+
+IMAGE="${1:-}"
+if [ -z "${IMAGE}" ]; then
+  echo "用法: bash test.sh <镜像名:标签>" >&2
+  exit 1
+fi
+
+command -v docker >/dev/null 2>&1 || { echo "✗ 未找到 docker" >&2; exit 1; }
+
+echo "=== Ollama 容器基础功能测试 ==="
+echo "待测镜像: ${IMAGE}"
+
+docker run --rm --gpus all \
+  -e OLLAMA_BIN="${OLLAMA_BIN:-/usr/bin/ollama}" \
+  -e OLLAMA_HOST="${OLLAMA_HOST:-0.0.0.0:11434}" \
+  -e START_TIMEOUT="${START_TIMEOUT:-30}" \
+  --entrypoint /bin/bash \
+  "${IMAGE}" -lc '
+set -Eeuo pipefail
+
+export CUDA_HOME="${CUDA_HOME:-/usr/local/cuda}"
+export PATH="${CUDA_HOME}/bin:${PATH}"
+export LD_LIBRARY_PATH="${CUDA_HOME}/lib64:${LD_LIBRARY_PATH:-}"
+
+OLLAMA_URL="http://${OLLAMA_HOST}/api"
+SERVER_PID=""
+
+pass() { echo "✓ $1"; }
+fail() { echo "✗ $1" >&2; exit 1; }
+
+cleanup() {
+  [ -n "${SERVER_PID}" ] && kill "${SERVER_PID}" >/dev/null 2>&1 && wait "${SERVER_PID}" 2>/dev/null || true
+}
+trap cleanup EXIT
+
+http_get() {
+  local url="$1"
+  if command -v curl >/dev/null 2>&1; then
+    curl -fsS "${url}"
+  elif command -v wget >/dev/null 2>&1; then
+    wget -qO- "${url}"
+  elif command -v python3 >/dev/null 2>&1; then
+    python3 - "${url}" <<"PY"
+import sys
+from urllib.request import urlopen
+
+url = sys.argv[1]
+with urlopen(url, timeout=5) as resp:
+    sys.stdout.write(resp.read().decode("utf-8", errors="replace"))
+PY
+  else
+    fail "未找到 curl、wget 或 python3，无法检查 HTTP API"
+  fi
+}
+
+echo "[1/5] 检查 ollama 二进制..."
+[ -x "${OLLAMA_BIN}" ] || fail "ollama 未安装或不可执行: ${OLLAMA_BIN}"
+pass "ollama 二进制存在"
+
+echo "[2/5] 检查 ollama 是否可正常运行..."
+VERSION_OUT="$(${OLLAMA_BIN} --version 2>&1)" || fail "ollama --version 执行失败"
+echo "    ${VERSION_OUT}"
+pass "ollama 可正常运行"
+
+echo "[3/5] 检查运行环境信息..."
+if command -v nvidia-smi >/dev/null 2>&1; then
+  nvidia-smi | head -n 3 || true
+  pass "检测到 nvidia-smi"
+else
+  echo "    未检测到 nvidia-smi，跳过 GPU 检查"
+  pass "GPU 检查已跳过"
+fi
+
+if command -v nvcc >/dev/null 2>&1; then
+  nvcc --version | tail -n 2 || true
+fi
+
+echo "[4/5] 启动 ollama API 服务并检查 /api/version..."
+"${OLLAMA_BIN}" serve >/tmp/ollama-test.log 2>&1 &
+SERVER_PID=$!
+
+READY=0
+for _ in $(seq 1 "${START_TIMEOUT}"); do
+  if http_get "${OLLAMA_URL}/version" >/dev/null 2>&1; then
+    READY=1
+    break
+  fi
+  sleep 1
+done
+
+if [ "${READY}" != "1" ]; then
+  echo "---- ollama 服务日志 ----"
+  cat /tmp/ollama-test.log || true
+  echo "------------------------"
+  fail "ollama serve 启动失败或 ${START_TIMEOUT}s 内未就绪"
+fi
+
+API_VERSION="$(http_get "${OLLAMA_URL}/version")" || fail "访问 /api/version 失败"
+echo "    ${API_VERSION}"
+pass "ollama API 服务正常"
+
+echo "[5/5] 检查核心 CLI 功能..."
+LIST_OUT="$(${OLLAMA_BIN} list 2>&1)" || fail "ollama list 执行失败"
+echo "${LIST_OUT}"
+pass "ollama list 可正常执行"
+'
+
+echo "✓ 镜像 ${IMAGE} 基础功能测试通过"
diff --git a/frameworks/ollama/0.18.1/test_result.png b/frameworks/ollama/0.18.1/test_result.png
new file mode 100644
index 0000000000000000000000000000000000000000..3c4c832751a890cd3c226944f79af99c7ef45a6a
Binary files /dev/null and b/frameworks/ollama/0.18.1/test_result.png differ
diff --git a/frameworks/ollama/0.18.2/Dockerfile b/frameworks/ollama/0.18.2/Dockerfile
new file mode 100644
index 0000000000000000000000000000000000000000..8fe3bda3cc9967fdd96b5b854253a5f7bc47307b
--- /dev/null
+++ b/frameworks/ollama/0.18.2/Dockerfile
@@ -0,0 +1,23 @@
+FROM opencloudos/opencloudos9-cuda-devel:12.8
+
+LABEL maintainer="OpenCloudOS Community"
+LABEL org.opencontainers.image.source="https://gitee.com/OpenCloudOS/ai-agent-container"
+LABEL org.opencontainers.image.description="Ollama v0.18.2 (GPU) on OpenCloudOS 9"
+
+RUN dnf install -y \
+    curl \
+    zstd \
+    && dnf clean all \
+    && rm -rf /var/cache/yum/*
+
+ARG OLLAMA_VERSION=0.18.2
+RUN curl -fsSL "https://github.com/ollama/ollama/releases/download/v${OLLAMA_VERSION}/ollama-linux-amd64.tar.zst" \
+    | zstd -d | tar x -C /usr
+
+ENV NVIDIA_VISIBLE_DEVICES=all
+ENV OLLAMA_HOST=0.0.0.0:11434
+EXPOSE 11434
+
+RUN echo $(date +"%Y-%m-%dT%H:%M:%S%z") > /opencloudos_build_date.txt
+
+CMD ["ollama", "serve"]
diff --git a/frameworks/ollama/0.18.2/README.md b/frameworks/ollama/0.18.2/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..e0824b905ca5e2c644b652382e8100ce6b01cb74
--- /dev/null
+++ b/frameworks/ollama/0.18.2/README.md
@@ -0,0 +1,68 @@
+# Ollama v0.18.2 on OpenCloudOS 9
+
+## 基本信息
+
+- **框架版本**：v0.18.2
+- **开源地址**：[https://github.com/ollama/ollama](https://github.com/ollama/ollama)
+- **基础镜像**：opencloudos9-cuda-devel:12.8
+- **Python 版本**：N/A（Go 编译二进制，无需 Python）
+- **CUDA 版本**：12.8（基础镜像），Ollama 内部自带 CUDA 运行时库
+- **默认端口**：11434
+
+## 构建命令
+
+```bash
+docker build -t oc9-ollama:0.18.2 frameworks/ollama/0.18.2/
+```
+
+## 使用示例
+
+### 启动 Ollama 服务
+
+```bash
+docker run -d --gpus all --name ollama \
+  -p 11434:11434 \
+  -v ollama-models:/root/.ollama \
+  oc9-ollama:0.18.2
+```
+
+### CPU 模式（不挂载 GPU）
+
+```bash
+docker run -d --name ollama \
+  -p 11434:11434 \
+  -v ollama-models:/root/.ollama \
+  oc9-ollama:0.18.2
+```
+
+### 运行模型
+
+```bash
+# 进入容器拉取并运行模型
+docker exec -it ollama ollama run qwen3:0.6b
+```
+
+### 调用 API
+
+```bash
+# 查看已安装模型
+curl http://localhost:11434/api/tags
+
+# 聊天对话
+curl http://localhost:11434/api/chat -d '{
+  "model": "qwen3:0.6b",
+  "messages": [{"role": "user", "content": "你好"}]
+}'
+```
+
+## 技术说明
+
+- Ollama 为 Go 编译的独立二进制，内部已打包 CUDA 运行时库，无需额外安装 CUDA
+- 使用 `opencloudos9-cuda-devel` 基础镜像以兼容 NVIDIA GPU 驱动
+- 模型数据默认存储在 `/root/.ollama`，建议通过 Volume 持久化
+- 支持 NVIDIA GPU（CUDA）和 CPU 模式自动切换
+
+## 已知问题
+
+- 首次拉取大模型时需要较长下载时间，建议提前拉取或使用镜像源
+- ARM64 架构需替换 Dockerfile 中的 `amd64` 为 `arm64`
diff --git a/frameworks/ollama/0.18.2/build.conf b/frameworks/ollama/0.18.2/build.conf
new file mode 100644
index 0000000000000000000000000000000000000000..43d9b2cea650f04ade191aa1e7851472141f04b4
--- /dev/null
+++ b/frameworks/ollama/0.18.2/build.conf
@@ -0,0 +1,4 @@
+# ollama 0.18.2 on OpenCloudOS 9 (GPU)
+IMAGE_NAME=oc9-ollama
+IMAGE_TAG=0.18.2
+GPU_TEST=false
diff --git a/frameworks/ollama/0.18.2/test.sh b/frameworks/ollama/0.18.2/test.sh
new file mode 100755
index 0000000000000000000000000000000000000000..5ba461e4dc6c070a22085b11e5df7315a21f40ee
--- /dev/null
+++ b/frameworks/ollama/0.18.2/test.sh
@@ -0,0 +1,110 @@
+#!/usr/bin/env bash
+set -e
+
+IMAGE="${1:-}"
+if [ -z "${IMAGE}" ]; then
+  echo "用法: bash test.sh <镜像名:标签>" >&2
+  exit 1
+fi
+
+command -v docker >/dev/null 2>&1 || { echo "✗ 未找到 docker" >&2; exit 1; }
+
+echo "=== Ollama 容器基础功能测试 ==="
+echo "待测镜像: ${IMAGE}"
+
+docker run --rm --gpus all \
+  -e OLLAMA_BIN="${OLLAMA_BIN:-/usr/bin/ollama}" \
+  -e OLLAMA_HOST="${OLLAMA_HOST:-0.0.0.0:11434}" \
+  -e START_TIMEOUT="${START_TIMEOUT:-30}" \
+  --entrypoint /bin/bash \
+  "${IMAGE}" -lc '
+set -Eeuo pipefail
+
+export CUDA_HOME="${CUDA_HOME:-/usr/local/cuda}"
+export PATH="${CUDA_HOME}/bin:${PATH}"
+export LD_LIBRARY_PATH="${CUDA_HOME}/lib64:${LD_LIBRARY_PATH:-}"
+
+OLLAMA_URL="http://${OLLAMA_HOST}/api"
+SERVER_PID=""
+
+pass() { echo "✓ $1"; }
+fail() { echo "✗ $1" >&2; exit 1; }
+
+cleanup() {
+  [ -n "${SERVER_PID}" ] && kill "${SERVER_PID}" >/dev/null 2>&1 && wait "${SERVER_PID}" 2>/dev/null || true
+}
+trap cleanup EXIT
+
+http_get() {
+  local url="$1"
+  if command -v curl >/dev/null 2>&1; then
+    curl -fsS "${url}"
+  elif command -v wget >/dev/null 2>&1; then
+    wget -qO- "${url}"
+  elif command -v python3 >/dev/null 2>&1; then
+    python3 - "${url}" <<"PY"
+import sys
+from urllib.request import urlopen
+
+url = sys.argv[1]
+with urlopen(url, timeout=5) as resp:
+    sys.stdout.write(resp.read().decode("utf-8", errors="replace"))
+PY
+  else
+    fail "未找到 curl、wget 或 python3，无法检查 HTTP API"
+  fi
+}
+
+echo "[1/5] 检查 ollama 二进制..."
+[ -x "${OLLAMA_BIN}" ] || fail "ollama 未安装或不可执行: ${OLLAMA_BIN}"
+pass "ollama 二进制存在"
+
+echo "[2/5] 检查 ollama 是否可正常运行..."
+VERSION_OUT="$(${OLLAMA_BIN} --version 2>&1)" || fail "ollama --version 执行失败"
+echo "    ${VERSION_OUT}"
+pass "ollama 可正常运行"
+
+echo "[3/5] 检查运行环境信息..."
+if command -v nvidia-smi >/dev/null 2>&1; then
+  nvidia-smi | head -n 3 || true
+  pass "检测到 nvidia-smi"
+else
+  echo "    未检测到 nvidia-smi，跳过 GPU 检查"
+  pass "GPU 检查已跳过"
+fi
+
+if command -v nvcc >/dev/null 2>&1; then
+  nvcc --version | tail -n 2 || true
+fi
+
+echo "[4/5] 启动 ollama API 服务并检查 /api/version..."
+"${OLLAMA_BIN}" serve >/tmp/ollama-test.log 2>&1 &
+SERVER_PID=$!
+
+READY=0
+for _ in $(seq 1 "${START_TIMEOUT}"); do
+  if http_get "${OLLAMA_URL}/version" >/dev/null 2>&1; then
+    READY=1
+    break
+  fi
+  sleep 1
+done
+
+if [ "${READY}" != "1" ]; then
+  echo "---- ollama 服务日志 ----"
+  cat /tmp/ollama-test.log || true
+  echo "------------------------"
+  fail "ollama serve 启动失败或 ${START_TIMEOUT}s 内未就绪"
+fi
+
+API_VERSION="$(http_get "${OLLAMA_URL}/version")" || fail "访问 /api/version 失败"
+echo "    ${API_VERSION}"
+pass "ollama API 服务正常"
+
+echo "[5/5] 检查核心 CLI 功能..."
+LIST_OUT="$(${OLLAMA_BIN} list 2>&1)" || fail "ollama list 执行失败"
+echo "${LIST_OUT}"
+pass "ollama list 可正常执行"
+'
+
+echo "✓ 镜像 ${IMAGE} 基础功能测试通过"
diff --git a/frameworks/ollama/0.18.2/test_result.png b/frameworks/ollama/0.18.2/test_result.png
new file mode 100644
index 0000000000000000000000000000000000000000..2afd74340de84b0c1d3dc55629d46961d310281e
Binary files /dev/null and b/frameworks/ollama/0.18.2/test_result.png differ
diff --git a/frameworks/ollama/0.18.3/Dockerfile b/frameworks/ollama/0.18.3/Dockerfile
new file mode 100644
index 0000000000000000000000000000000000000000..fa9e0165b310ae1be3fcc0ca73106e3eb359e0cb
--- /dev/null
+++ b/frameworks/ollama/0.18.3/Dockerfile
@@ -0,0 +1,23 @@
+FROM opencloudos/opencloudos9-cuda-devel:12.8
+
+LABEL maintainer="OpenCloudOS Community"
+LABEL org.opencontainers.image.source="https://gitee.com/OpenCloudOS/ai-agent-container"
+LABEL org.opencontainers.image.description="Ollama v0.18.3 (GPU) on OpenCloudOS 9"
+
+RUN dnf install -y \
+    curl \
+    zstd \
+    && dnf clean all \
+    && rm -rf /var/cache/yum/*
+
+ARG OLLAMA_VERSION=0.18.3
+RUN curl -fsSL "https://github.com/ollama/ollama/releases/download/v${OLLAMA_VERSION}/ollama-linux-amd64.tar.zst" \
+    | zstd -d | tar x -C /usr
+
+ENV NVIDIA_VISIBLE_DEVICES=all
+ENV OLLAMA_HOST=0.0.0.0:11434
+EXPOSE 11434
+
+RUN echo $(date +"%Y-%m-%dT%H:%M:%S%z") > /opencloudos_build_date.txt
+
+CMD ["ollama", "serve"]
diff --git a/frameworks/ollama/0.18.3/README.md b/frameworks/ollama/0.18.3/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..f66d90e240bab863767be597c29002a1480f3386
--- /dev/null
+++ b/frameworks/ollama/0.18.3/README.md
@@ -0,0 +1,68 @@
+# Ollama v0.18.3 on OpenCloudOS 9
+
+## 基本信息
+
+- **框架版本**：v0.18.3
+- **开源地址**：[https://github.com/ollama/ollama](https://github.com/ollama/ollama)
+- **基础镜像**：opencloudos9-cuda-devel:12.8
+- **Python 版本**：N/A（Go 编译二进制，无需 Python）
+- **CUDA 版本**：12.8（基础镜像），Ollama 内部自带 CUDA 运行时库
+- **默认端口**：11434
+
+## 构建命令
+
+```bash
+docker build -t oc9-ollama:0.18.3 frameworks/ollama/0.18.3/
+```
+
+## 使用示例
+
+### 启动 Ollama 服务
+
+```bash
+docker run -d --gpus all --name ollama \
+  -p 11434:11434 \
+  -v ollama-models:/root/.ollama \
+  oc9-ollama:0.18.3
+```
+
+### CPU 模式（不挂载 GPU）
+
+```bash
+docker run -d --name ollama \
+  -p 11434:11434 \
+  -v ollama-models:/root/.ollama \
+  oc9-ollama:0.18.3
+```
+
+### 运行模型
+
+```bash
+# 进入容器拉取并运行模型
+docker exec -it ollama ollama run qwen3:0.6b
+```
+
+### 调用 API
+
+```bash
+# 查看已安装模型
+curl http://localhost:11434/api/tags
+
+# 聊天对话
+curl http://localhost:11434/api/chat -d '{
+  "model": "qwen3:0.6b",
+  "messages": [{"role": "user", "content": "你好"}]
+}'
+```
+
+## 技术说明
+
+- Ollama 为 Go 编译的独立二进制，内部已打包 CUDA 运行时库，无需额外安装 CUDA
+- 使用 `opencloudos9-cuda-devel` 基础镜像以兼容 NVIDIA GPU 驱动
+- 模型数据默认存储在 `/root/.ollama`，建议通过 Volume 持久化
+- 支持 NVIDIA GPU（CUDA）和 CPU 模式自动切换
+
+## 已知问题
+
+- 首次拉取大模型时需要较长下载时间，建议提前拉取或使用镜像源
+- ARM64 架构需替换 Dockerfile 中的 `amd64` 为 `arm64`
diff --git a/frameworks/ollama/0.18.3/build.conf b/frameworks/ollama/0.18.3/build.conf
new file mode 100644
index 0000000000000000000000000000000000000000..6018ad744fc1576538a8126eec47ab885f51efa5
--- /dev/null
+++ b/frameworks/ollama/0.18.3/build.conf
@@ -0,0 +1,4 @@
+# ollama 0.18.3 on OpenCloudOS 9 (GPU)
+IMAGE_NAME=oc9-ollama
+IMAGE_TAG=0.18.3
+GPU_TEST=false
diff --git a/frameworks/ollama/0.18.3/test.sh b/frameworks/ollama/0.18.3/test.sh
new file mode 100755
index 0000000000000000000000000000000000000000..5ba461e4dc6c070a22085b11e5df7315a21f40ee
--- /dev/null
+++ b/frameworks/ollama/0.18.3/test.sh
@@ -0,0 +1,110 @@
+#!/usr/bin/env bash
+set -e
+
+IMAGE="${1:-}"
+if [ -z "${IMAGE}" ]; then
+  echo "用法: bash test.sh <镜像名:标签>" >&2
+  exit 1
+fi
+
+command -v docker >/dev/null 2>&1 || { echo "✗ 未找到 docker" >&2; exit 1; }
+
+echo "=== Ollama 容器基础功能测试 ==="
+echo "待测镜像: ${IMAGE}"
+
+docker run --rm --gpus all \
+  -e OLLAMA_BIN="${OLLAMA_BIN:-/usr/bin/ollama}" \
+  -e OLLAMA_HOST="${OLLAMA_HOST:-0.0.0.0:11434}" \
+  -e START_TIMEOUT="${START_TIMEOUT:-30}" \
+  --entrypoint /bin/bash \
+  "${IMAGE}" -lc '
+set -Eeuo pipefail
+
+export CUDA_HOME="${CUDA_HOME:-/usr/local/cuda}"
+export PATH="${CUDA_HOME}/bin:${PATH}"
+export LD_LIBRARY_PATH="${CUDA_HOME}/lib64:${LD_LIBRARY_PATH:-}"
+
+OLLAMA_URL="http://${OLLAMA_HOST}/api"
+SERVER_PID=""
+
+pass() { echo "✓ $1"; }
+fail() { echo "✗ $1" >&2; exit 1; }
+
+cleanup() {
+  [ -n "${SERVER_PID}" ] && kill "${SERVER_PID}" >/dev/null 2>&1 && wait "${SERVER_PID}" 2>/dev/null || true
+}
+trap cleanup EXIT
+
+http_get() {
+  local url="$1"
+  if command -v curl >/dev/null 2>&1; then
+    curl -fsS "${url}"
+  elif command -v wget >/dev/null 2>&1; then
+    wget -qO- "${url}"
+  elif command -v python3 >/dev/null 2>&1; then
+    python3 - "${url}" <<"PY"
+import sys
+from urllib.request import urlopen
+
+url = sys.argv[1]
+with urlopen(url, timeout=5) as resp:
+    sys.stdout.write(resp.read().decode("utf-8", errors="replace"))
+PY
+  else
+    fail "未找到 curl、wget 或 python3，无法检查 HTTP API"
+  fi
+}
+
+echo "[1/5] 检查 ollama 二进制..."
+[ -x "${OLLAMA_BIN}" ] || fail "ollama 未安装或不可执行: ${OLLAMA_BIN}"
+pass "ollama 二进制存在"
+
+echo "[2/5] 检查 ollama 是否可正常运行..."
+VERSION_OUT="$(${OLLAMA_BIN} --version 2>&1)" || fail "ollama --version 执行失败"
+echo "    ${VERSION_OUT}"
+pass "ollama 可正常运行"
+
+echo "[3/5] 检查运行环境信息..."
+if command -v nvidia-smi >/dev/null 2>&1; then
+  nvidia-smi | head -n 3 || true
+  pass "检测到 nvidia-smi"
+else
+  echo "    未检测到 nvidia-smi，跳过 GPU 检查"
+  pass "GPU 检查已跳过"
+fi
+
+if command -v nvcc >/dev/null 2>&1; then
+  nvcc --version | tail -n 2 || true
+fi
+
+echo "[4/5] 启动 ollama API 服务并检查 /api/version..."
+"${OLLAMA_BIN}" serve >/tmp/ollama-test.log 2>&1 &
+SERVER_PID=$!
+
+READY=0
+for _ in $(seq 1 "${START_TIMEOUT}"); do
+  if http_get "${OLLAMA_URL}/version" >/dev/null 2>&1; then
+    READY=1
+    break
+  fi
+  sleep 1
+done
+
+if [ "${READY}" != "1" ]; then
+  echo "---- ollama 服务日志 ----"
+  cat /tmp/ollama-test.log || true
+  echo "------------------------"
+  fail "ollama serve 启动失败或 ${START_TIMEOUT}s 内未就绪"
+fi
+
+API_VERSION="$(http_get "${OLLAMA_URL}/version")" || fail "访问 /api/version 失败"
+echo "    ${API_VERSION}"
+pass "ollama API 服务正常"
+
+echo "[5/5] 检查核心 CLI 功能..."
+LIST_OUT="$(${OLLAMA_BIN} list 2>&1)" || fail "ollama list 执行失败"
+echo "${LIST_OUT}"
+pass "ollama list 可正常执行"
+'
+
+echo "✓ 镜像 ${IMAGE} 基础功能测试通过"
diff --git a/frameworks/ollama/0.18.3/test_result.png b/frameworks/ollama/0.18.3/test_result.png
new file mode 100644
index 0000000000000000000000000000000000000000..df3182169a653849a9203beebff246f9f14c03ae
Binary files /dev/null and b/frameworks/ollama/0.18.3/test_result.png differ
diff --git a/frameworks/ollama/0.18.4/Dockerfile b/frameworks/ollama/0.18.4/Dockerfile
new file mode 100644
index 0000000000000000000000000000000000000000..79c80315f49fb624fda03c8b74412b6bafa927c7
--- /dev/null
+++ b/frameworks/ollama/0.18.4/Dockerfile
@@ -0,0 +1,23 @@
+FROM opencloudos/opencloudos9-cuda-devel:12.8
+
+LABEL maintainer="OpenCloudOS Community"
+LABEL org.opencontainers.image.source="https://gitee.com/OpenCloudOS/ai-agent-container"
+LABEL org.opencontainers.image.description="Ollama v0.18.4 (GPU) on OpenCloudOS 9"
+
+RUN dnf install -y \
+    curl \
+    zstd \
+    && dnf clean all \
+    && rm -rf /var/cache/yum/*
+
+ARG OLLAMA_VERSION=0.18.4-rc0
+RUN curl -fsSL "https://github.com/ollama/ollama/releases/download/v${OLLAMA_VERSION}/ollama-linux-amd64.tar.zst" \
+    | zstd -d | tar x -C /usr
+
+ENV NVIDIA_VISIBLE_DEVICES=all
+ENV OLLAMA_HOST=0.0.0.0:11434
+EXPOSE 11434
+
+RUN echo $(date +"%Y-%m-%dT%H:%M:%S%z") > /opencloudos_build_date.txt
+
+CMD ["ollama", "serve"]
diff --git a/frameworks/ollama/0.18.4/README.md b/frameworks/ollama/0.18.4/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..b68e108e91a9b245087eeb6ee7201d0d3e0bd3fc
--- /dev/null
+++ b/frameworks/ollama/0.18.4/README.md
@@ -0,0 +1,68 @@
+# Ollama v0.18.4 on OpenCloudOS 9
+
+## 基本信息
+
+- **框架版本**：v0.18.4
+- **开源地址**：[https://github.com/ollama/ollama](https://github.com/ollama/ollama)
+- **基础镜像**：opencloudos9-cuda-devel:12.8
+- **Python 版本**：N/A（Go 编译二进制，无需 Python）
+- **CUDA 版本**：12.8（基础镜像），Ollama 内部自带 CUDA 运行时库
+- **默认端口**：11434
+
+## 构建命令
+
+```bash
+docker build -t oc9-ollama:0.18.4 frameworks/ollama/0.18.4/
+```
+
+## 使用示例
+
+### 启动 Ollama 服务
+
+```bash
+docker run -d --gpus all --name ollama \
+  -p 11434:11434 \
+  -v ollama-models:/root/.ollama \
+  oc9-ollama:0.18.4
+```
+
+### CPU 模式（不挂载 GPU）
+
+```bash
+docker run -d --name ollama \
+  -p 11434:11434 \
+  -v ollama-models:/root/.ollama \
+  oc9-ollama:0.18.4
+```
+
+### 运行模型
+
+```bash
+# 进入容器拉取并运行模型
+docker exec -it ollama ollama run qwen3:0.6b
+```
+
+### 调用 API
+
+```bash
+# 查看已安装模型
+curl http://localhost:11434/api/tags
+
+# 聊天对话
+curl http://localhost:11434/api/chat -d '{
+  "model": "qwen3:0.6b",
+  "messages": [{"role": "user", "content": "你好"}]
+}'
+```
+
+## 技术说明
+
+- Ollama 为 Go 编译的独立二进制，内部已打包 CUDA 运行时库，无需额外安装 CUDA
+- 使用 `opencloudos9-cuda-devel` 基础镜像以兼容 NVIDIA GPU 驱动
+- 模型数据默认存储在 `/root/.ollama`，建议通过 Volume 持久化
+- 支持 NVIDIA GPU（CUDA）和 CPU 模式自动切换
+
+## 已知问题
+
+- 首次拉取大模型时需要较长下载时间，建议提前拉取或使用镜像源
+- ARM64 架构需替换 Dockerfile 中的 `amd64` 为 `arm64`
diff --git a/frameworks/ollama/0.18.4/build.conf b/frameworks/ollama/0.18.4/build.conf
new file mode 100644
index 0000000000000000000000000000000000000000..848d84b62a28b132ae69dbb8fdd4ab728b9edf4a
--- /dev/null
+++ b/frameworks/ollama/0.18.4/build.conf
@@ -0,0 +1,4 @@
+# ollama 0.18.4 on OpenCloudOS 9 (GPU)
+IMAGE_NAME=oc9-ollama
+IMAGE_TAG=0.18.4
+GPU_TEST=false
diff --git a/frameworks/ollama/0.18.4/test.sh b/frameworks/ollama/0.18.4/test.sh
new file mode 100755
index 0000000000000000000000000000000000000000..5ba461e4dc6c070a22085b11e5df7315a21f40ee
--- /dev/null
+++ b/frameworks/ollama/0.18.4/test.sh
@@ -0,0 +1,110 @@
+#!/usr/bin/env bash
+set -e
+
+IMAGE="${1:-}"
+if [ -z "${IMAGE}" ]; then
+  echo "用法: bash test.sh <镜像名:标签>" >&2
+  exit 1
+fi
+
+command -v docker >/dev/null 2>&1 || { echo "✗ 未找到 docker" >&2; exit 1; }
+
+echo "=== Ollama 容器基础功能测试 ==="
+echo "待测镜像: ${IMAGE}"
+
+docker run --rm --gpus all \
+  -e OLLAMA_BIN="${OLLAMA_BIN:-/usr/bin/ollama}" \
+  -e OLLAMA_HOST="${OLLAMA_HOST:-0.0.0.0:11434}" \
+  -e START_TIMEOUT="${START_TIMEOUT:-30}" \
+  --entrypoint /bin/bash \
+  "${IMAGE}" -lc '
+set -Eeuo pipefail
+
+export CUDA_HOME="${CUDA_HOME:-/usr/local/cuda}"
+export PATH="${CUDA_HOME}/bin:${PATH}"
+export LD_LIBRARY_PATH="${CUDA_HOME}/lib64:${LD_LIBRARY_PATH:-}"
+
+OLLAMA_URL="http://${OLLAMA_HOST}/api"
+SERVER_PID=""
+
+pass() { echo "✓ $1"; }
+fail() { echo "✗ $1" >&2; exit 1; }
+
+cleanup() {
+  [ -n "${SERVER_PID}" ] && kill "${SERVER_PID}" >/dev/null 2>&1 && wait "${SERVER_PID}" 2>/dev/null || true
+}
+trap cleanup EXIT
+
+http_get() {
+  local url="$1"
+  if command -v curl >/dev/null 2>&1; then
+    curl -fsS "${url}"
+  elif command -v wget >/dev/null 2>&1; then
+    wget -qO- "${url}"
+  elif command -v python3 >/dev/null 2>&1; then
+    python3 - "${url}" <<"PY"
+import sys
+from urllib.request import urlopen
+
+url = sys.argv[1]
+with urlopen(url, timeout=5) as resp:
+    sys.stdout.write(resp.read().decode("utf-8", errors="replace"))
+PY
+  else
+    fail "未找到 curl、wget 或 python3，无法检查 HTTP API"
+  fi
+}
+
+echo "[1/5] 检查 ollama 二进制..."
+[ -x "${OLLAMA_BIN}" ] || fail "ollama 未安装或不可执行: ${OLLAMA_BIN}"
+pass "ollama 二进制存在"
+
+echo "[2/5] 检查 ollama 是否可正常运行..."
+VERSION_OUT="$(${OLLAMA_BIN} --version 2>&1)" || fail "ollama --version 执行失败"
+echo "    ${VERSION_OUT}"
+pass "ollama 可正常运行"
+
+echo "[3/5] 检查运行环境信息..."
+if command -v nvidia-smi >/dev/null 2>&1; then
+  nvidia-smi | head -n 3 || true
+  pass "检测到 nvidia-smi"
+else
+  echo "    未检测到 nvidia-smi，跳过 GPU 检查"
+  pass "GPU 检查已跳过"
+fi
+
+if command -v nvcc >/dev/null 2>&1; then
+  nvcc --version | tail -n 2 || true
+fi
+
+echo "[4/5] 启动 ollama API 服务并检查 /api/version..."
+"${OLLAMA_BIN}" serve >/tmp/ollama-test.log 2>&1 &
+SERVER_PID=$!
+
+READY=0
+for _ in $(seq 1 "${START_TIMEOUT}"); do
+  if http_get "${OLLAMA_URL}/version" >/dev/null 2>&1; then
+    READY=1
+    break
+  fi
+  sleep 1
+done
+
+if [ "${READY}" != "1" ]; then
+  echo "---- ollama 服务日志 ----"
+  cat /tmp/ollama-test.log || true
+  echo "------------------------"
+  fail "ollama serve 启动失败或 ${START_TIMEOUT}s 内未就绪"
+fi
+
+API_VERSION="$(http_get "${OLLAMA_URL}/version")" || fail "访问 /api/version 失败"
+echo "    ${API_VERSION}"
+pass "ollama API 服务正常"
+
+echo "[5/5] 检查核心 CLI 功能..."
+LIST_OUT="$(${OLLAMA_BIN} list 2>&1)" || fail "ollama list 执行失败"
+echo "${LIST_OUT}"
+pass "ollama list 可正常执行"
+'
+
+echo "✓ 镜像 ${IMAGE} 基础功能测试通过"
diff --git a/frameworks/ollama/0.18.4/test_result.png b/frameworks/ollama/0.18.4/test_result.png
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