diff --git a/frameworks/langchain/1.2.14/Dockerfile b/frameworks/langchain/1.2.14/Dockerfile
new file mode 100644
index 0000000000000000000000000000000000000000..f7238f4fb102bcd709f4faa0ef75f703bd2cc025
--- /dev/null
+++ b/frameworks/langchain/1.2.14/Dockerfile
@@ -0,0 +1,23 @@
+# 基础镜像：OpenCloudOS 9 极简版，适用于纯 Python / CPU 框架
+FROM opencloudos/opencloudos9-minimal:latest
+
+# 镜像元信息
+LABEL maintainer="OpenCloudOS Community"
+LABEL org.opencontainers.image.source="https://gitee.com/OpenCloudOS/ai-agent-container"
+LABEL org.opencontainers.image.description="LangChain 1.2.14 on OpenCloudOS 9"
+
+# 安装 Python 3.11 及 pip，安装完成后清理缓存以减小镜像体积
+RUN dnf install -y \
+    python3.11 \
+    python3.11-pip \
+    && dnf clean all \
+    && rm -rf /var/cache/yum/*
+
+# 安装 LangChain
+RUN pip3.11 install --no-cache-dir langchain==1.2.14
+
+# 记录镜像构建时间，便于追溯
+RUN echo $(date +"%Y-%m-%dT%H:%M:%S%z") > /opencloudos_build_date.txt
+
+# 默认进入 Python 3.11 交互环境
+CMD ["python3.11"]
diff --git a/frameworks/langchain/1.2.14/README.md b/frameworks/langchain/1.2.14/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..86e5549b178682f3a6353b511a82d23ec017b6a6
--- /dev/null
+++ b/frameworks/langchain/1.2.14/README.md
@@ -0,0 +1,49 @@
+# LangChain on OpenCloudOS 9
+
+## 基本信息
+
+- **框架版本**: v1.2.14
+- **基础镜像**: opencloudos/opencloudos9-minimal:latest
+- **Python 版本**: 3.11
+- **CUDA 版本**: N/A (CPU only)
+
+## 构建
+
+```bash
+docker build -t oc9-langchain:1.2.14 .
+```
+
+## 使用示例
+
+### 1. 验证安装
+
+```bash
+docker run --rm oc9-langchain:1.2.14 python3.11 -c "import langchain; print(langchain.__version__)"
+```
+
+### 2. 运行 LangChain 应用
+
+```bash
+docker run --rm -v $(pwd):/workspace oc9-langchain:1.2.14 python3.11 your_app.py
+```
+
+### 3. 交互式运行
+
+```bash
+docker run -it --rm -v $(pwd):/workspace oc9-langchain:1.2.14 bash
+```
+
+## 核心功能
+
+LangChain 是一个用于构建 LLM 应用的 Python 框架，主要特性包括：
+
+- **Model I/O**: 与各种 LLM 模型交互的统一接口（Chat Models、LLMs、Embeddings）
+- **Retrieval**: 从外部数据源检索相关信息（Document Loaders、Text Splitters、Vector Stores）
+- **Agents**: 让 LLM 自主决定使用哪些工具来完成任务
+- **Chains**: 将多个组件组合成端到端的流水线
+- **Tools & Toolkits**: 预构建的工具集合，可被 Agent 调用
+- **Memory**: 在多轮对话中维护状态
+
+## 已知问题
+
+- 无
diff --git a/frameworks/langchain/1.2.14/build.conf b/frameworks/langchain/1.2.14/build.conf
new file mode 100644
index 0000000000000000000000000000000000000000..164ef36490fe2fdd3d57de1f5595b44c85f56d73
--- /dev/null
+++ b/frameworks/langchain/1.2.14/build.conf
@@ -0,0 +1,4 @@
+# LangChain 1.2.14 on OpenCloudOS 9
+IMAGE_NAME=oc9-langchain
+IMAGE_TAG=1.2.14
+GPU_TEST=false
diff --git a/frameworks/langchain/1.2.14/screenshots/.gitkeep b/frameworks/langchain/1.2.14/screenshots/.gitkeep
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/frameworks/langchain/1.2.14/screenshots/test_pass.png b/frameworks/langchain/1.2.14/screenshots/test_pass.png
new file mode 100644
index 0000000000000000000000000000000000000000..3c373e959642af9176c47ef2c2c6e48d2db3df3f
Binary files /dev/null and b/frameworks/langchain/1.2.14/screenshots/test_pass.png differ
diff --git a/frameworks/langchain/1.2.14/test.sh b/frameworks/langchain/1.2.14/test.sh
new file mode 100755
index 0000000000000000000000000000000000000000..5e89d86e3a72fd5135ec22582dbd8a70def97380
--- /dev/null
+++ b/frameworks/langchain/1.2.14/test.sh
@@ -0,0 +1,68 @@
+#!/bin/bash
+set -e
+
+IMAGE="${1:?ERROR: 缺少镜像参数。用法: bash test.sh <image:tag>}"
+
+if sudo -n true 2>/dev/null; then
+  DOCKER="sudo docker"
+else
+  DOCKER="docker"
+fi
+
+echo "=== LangChain 1.2.14 基础功能测试 ==="
+
+# 1. 验证 langchain 可正常导入并检查版本
+echo -n "检查 import langchain... "
+$DOCKER run --rm "$IMAGE" python3.11 -c "
+import importlib.metadata
+print(importlib.metadata.version('langchain'))
+" && echo "✓ 通过" || { echo "✗ 失败"; exit 1; }
+
+# 2. 验证 PromptTemplate 核心功能
+echo -n "检查 PromptTemplate 构建... "
+$DOCKER run --rm "$IMAGE" python3.11 -c "
+from langchain_core.prompts import ChatPromptTemplate
+
+prompt = ChatPromptTemplate.from_template('Tell me a joke about {topic}')
+assert prompt is not None, 'PromptTemplate 创建失败'
+assert 'topic' in prompt.input_variables, f'输入变量不正确: {prompt.input_variables}'
+
+result = prompt.invoke({'topic': 'programming'})
+assert result is not None, 'PromptTemplate invoke 失败'
+print('PromptTemplate 正常')
+" && echo "✓ 通过" || { echo "✗ 失败"; exit 1; }
+
+# 3. 验证 OutputParser + Runnable 管道组合
+echo -n "检查 Runnable 管道组合... "
+$DOCKER run --rm "$IMAGE" python3.11 -c "
+from langchain_core.prompts import ChatPromptTemplate
+from langchain_core.output_parsers import StrOutputParser
+
+prompt = ChatPromptTemplate.from_template('Say hello to {name}')
+parser = StrOutputParser()
+
+from langchain_core.runnables import RunnablePassthrough
+chain = {'name': RunnablePassthrough()} | prompt | parser
+
+assert chain is not None, '管道创建失败'
+print('Runnable 管道正常')
+" && echo "✓ 通过" || { echo "✗ 失败"; exit 1; }
+
+# 4. 验证 Messages 模块
+echo -n "检查 Messages 模块... "
+$DOCKER run --rm "$IMAGE" python3.11 -c "
+from langchain_core.messages import HumanMessage, AIMessage, SystemMessage
+
+msg = HumanMessage(content='Hello')
+assert msg.content == 'Hello', f'HumanMessage content 错误: {msg.content}'
+
+sys_msg = SystemMessage(content='You are a helpful assistant')
+assert sys_msg.type == 'system', f'SystemMessage type 错误: {sys_msg.type}'
+
+ai_msg = AIMessage(content='Hi there!')
+assert ai_msg.type == 'ai', f'AIMessage type 错误: {ai_msg.type}'
+
+print('Messages 模块正常')
+" && echo "✓ 通过" || { echo "✗ 失败"; exit 1; }
+
+echo "=== 所有测试通过 ==="
diff --git a/frameworks/langchain/1.2.15/Dockerfile b/frameworks/langchain/1.2.15/Dockerfile
new file mode 100644
index 0000000000000000000000000000000000000000..f7af7bb9c80eba5d914885c19e8a8b1c56947ce4
--- /dev/null
+++ b/frameworks/langchain/1.2.15/Dockerfile
@@ -0,0 +1,23 @@
+# 基础镜像：OpenCloudOS 9 极简版，适用于纯 Python / CPU 框架
+FROM opencloudos/opencloudos9-minimal:latest
+
+# 镜像元信息
+LABEL maintainer="OpenCloudOS Community"
+LABEL org.opencontainers.image.source="https://gitee.com/OpenCloudOS/ai-agent-container"
+LABEL org.opencontainers.image.description="LangChain 1.2.15 on OpenCloudOS 9"
+
+# 安装 Python 3.11 及 pip，安装完成后清理缓存以减小镜像体积
+RUN dnf install -y \
+    python3.11 \
+    python3.11-pip \
+    && dnf clean all \
+    && rm -rf /var/cache/yum/*
+
+# 安装 LangChain
+RUN pip3.11 install --no-cache-dir langchain==1.2.15
+
+# 记录镜像构建时间，便于追溯
+RUN echo $(date +"%Y-%m-%dT%H:%M:%S%z") > /opencloudos_build_date.txt
+
+# 默认进入 Python 3.11 交互环境
+CMD ["python3.11"]
diff --git a/frameworks/langchain/1.2.15/README.md b/frameworks/langchain/1.2.15/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..71ff828b348cf025c34d74277eac7dc7d15c33c1
--- /dev/null
+++ b/frameworks/langchain/1.2.15/README.md
@@ -0,0 +1,49 @@
+# LangChain on OpenCloudOS 9
+
+## 基本信息
+
+- **框架版本**: v1.2.15
+- **基础镜像**: opencloudos/opencloudos9-minimal:latest
+- **Python 版本**: 3.11
+- **CUDA 版本**: N/A (CPU only)
+
+## 构建
+
+```bash
+docker build -t oc9-langchain:1.2.15 .
+```
+
+## 使用示例
+
+### 1. 验证安装
+
+```bash
+docker run --rm oc9-langchain:1.2.15 python3.11 -c "import langchain; print(langchain.__version__)"
+```
+
+### 2. 运行 LangChain 应用
+
+```bash
+docker run --rm -v $(pwd):/workspace oc9-langchain:1.2.15 python3.11 your_app.py
+```
+
+### 3. 交互式运行
+
+```bash
+docker run -it --rm -v $(pwd):/workspace oc9-langchain:1.2.15 bash
+```
+
+## 核心功能
+
+LangChain 是一个用于构建 LLM 应用的 Python 框架，主要特性包括：
+
+- **Model I/O**: 与各种 LLM 模型交互的统一接口（Chat Models、LLMs、Embeddings）
+- **Retrieval**: 从外部数据源检索相关信息（Document Loaders、Text Splitters、Vector Stores）
+- **Agents**: 让 LLM 自主决定使用哪些工具来完成任务
+- **Chains**: 将多个组件组合成端到端的流水线
+- **Tools & Toolkits**: 预构建的工具集合，可被 Agent 调用
+- **Memory**: 在多轮对话中维护状态
+
+## 已知问题
+
+- 无
diff --git a/frameworks/langchain/1.2.15/build.conf b/frameworks/langchain/1.2.15/build.conf
new file mode 100644
index 0000000000000000000000000000000000000000..3f6ba3ba02d59ddafaf7093c92ee382d0836482f
--- /dev/null
+++ b/frameworks/langchain/1.2.15/build.conf
@@ -0,0 +1,4 @@
+# LangChain 1.2.15 on OpenCloudOS 9
+IMAGE_NAME=oc9-langchain
+IMAGE_TAG=1.2.15
+GPU_TEST=false
diff --git a/frameworks/langchain/1.2.15/screenshots/.gitkeep b/frameworks/langchain/1.2.15/screenshots/.gitkeep
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/frameworks/langchain/1.2.15/screenshots/test_pass.png b/frameworks/langchain/1.2.15/screenshots/test_pass.png
new file mode 100644
index 0000000000000000000000000000000000000000..9bfc9fb79ed962f7927c34dae09183c981f0f3e7
Binary files /dev/null and b/frameworks/langchain/1.2.15/screenshots/test_pass.png differ
diff --git a/frameworks/langchain/1.2.15/test.sh b/frameworks/langchain/1.2.15/test.sh
new file mode 100755
index 0000000000000000000000000000000000000000..2e9bcfcaf916dd8b9afcf6129a99ca13d24df6d3
--- /dev/null
+++ b/frameworks/langchain/1.2.15/test.sh
@@ -0,0 +1,68 @@
+#!/bin/bash
+set -e
+
+IMAGE="${1:?ERROR: 缺少镜像参数。用法: bash test.sh <image:tag>}"
+
+if sudo -n true 2>/dev/null; then
+  DOCKER="sudo docker"
+else
+  DOCKER="docker"
+fi
+
+echo "=== LangChain 1.2.15 基础功能测试 ==="
+
+# 1. 验证 langchain 可正常导入并检查版本
+echo -n "检查 import langchain... "
+$DOCKER run --rm "$IMAGE" python3.11 -c "
+import importlib.metadata
+print(importlib.metadata.version('langchain'))
+" && echo "✓ 通过" || { echo "✗ 失败"; exit 1; }
+
+# 2. 验证 PromptTemplate 核心功能
+echo -n "检查 PromptTemplate 构建... "
+$DOCKER run --rm "$IMAGE" python3.11 -c "
+from langchain_core.prompts import ChatPromptTemplate
+
+prompt = ChatPromptTemplate.from_template('Tell me a joke about {topic}')
+assert prompt is not None, 'PromptTemplate 创建失败'
+assert 'topic' in prompt.input_variables, f'输入变量不正确: {prompt.input_variables}'
+
+result = prompt.invoke({'topic': 'programming'})
+assert result is not None, 'PromptTemplate invoke 失败'
+print('PromptTemplate 正常')
+" && echo "✓ 通过" || { echo "✗ 失败"; exit 1; }
+
+# 3. 验证 OutputParser + Runnable 管道组合
+echo -n "检查 Runnable 管道组合... "
+$DOCKER run --rm "$IMAGE" python3.11 -c "
+from langchain_core.prompts import ChatPromptTemplate
+from langchain_core.output_parsers import StrOutputParser
+
+prompt = ChatPromptTemplate.from_template('Say hello to {name}')
+parser = StrOutputParser()
+
+from langchain_core.runnables import RunnablePassthrough
+chain = {'name': RunnablePassthrough()} | prompt | parser
+
+assert chain is not None, '管道创建失败'
+print('Runnable 管道正常')
+" && echo "✓ 通过" || { echo "✗ 失败"; exit 1; }
+
+# 4. 验证 Messages 模块
+echo -n "检查 Messages 模块... "
+$DOCKER run --rm "$IMAGE" python3.11 -c "
+from langchain_core.messages import HumanMessage, AIMessage, SystemMessage
+
+msg = HumanMessage(content='Hello')
+assert msg.content == 'Hello', f'HumanMessage content 错误: {msg.content}'
+
+sys_msg = SystemMessage(content='You are a helpful assistant')
+assert sys_msg.type == 'system', f'SystemMessage type 错误: {sys_msg.type}'
+
+ai_msg = AIMessage(content='Hi there!')
+assert ai_msg.type == 'ai', f'AIMessage type 错误: {ai_msg.type}'
+
+print('Messages 模块正常')
+" && echo "✓ 通过" || { echo "✗ 失败"; exit 1; }
+
+echo "=== 所有测试通过 ==="