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Stark-Han
2026-04-23 14:56:24 +08:00
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docs/arm64-deployment.md
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@@ -11,14 +11,14 @@
| 镜像 | 地址 | 说明 |
|------|------|------|
| ClawManager 主应用 | `ghcr.io/yuan-lab-llm/clawmanager:latest` | 官方多架构镜像，包含 ARM64 |
| Skill Scanner | `ghcr.io/xty00/skill-scanner:latest` | ARM64版本（官方原仓库无ARM64支持） |
| Skill Scanner | `ghcr.io/yuan-lab-llm/skill-scanner:latest` | 官方镜像已支持 ARM64 |
### 使用预构建镜像
```bash
# 拉取ARM64镜像
docker pull ghcr.io/yuan-lab-llm/clawmanager:latest --platform linux/arm64
docker pull ghcr.io/xty00/skill-scanner:latest --platform linux/arm64
docker pull ghcr.io/yuan-lab-llm/skill-scanner:latest --platform linux/arm64
```
## 从源码构建 ARM64 镜像
@@ -37,11 +37,11 @@ CGO_ENABLED=0 go build -ldflags="-s -w -extldflags=-static" -o bin/clawreef-serv
docker buildx build --platform linux/amd64,linux/arm64 -t ghcr.io/your-name/clawmanager:latest --push .
```
### skill-scanner ARM64 构建
### skill-scanner ARM64 构建（可选）
skill-scanner 原仓库 (`ghcr.io/yuan-lab-llm/skill-scanner`) 仅支持 amd64 平台。
`ghcr.io/yuan-lab-llm/skill-scanner:latest` 已支持 ARM64 平台。
ARM64 用户需要从源码构建：
如需自定义镜像，可从源码构建：
```bash
# 克隆仓库
@@ -69,7 +69,7 @@ docker buildx build --platform linux/arm64 \
image: ghcr.io/yuan-lab-llm/clawmanager:latest
# skill-scanner（如果需要）
image: ghcr.io/xty00/skill-scanner:latest
image: ghcr.io/yuan-lab-llm/skill-scanner:latest
```
### 数据库初始化
@@ -94,11 +94,11 @@ FLUSH PRIVILEGES;
- **支持平台**: `linux/amd64`、`linux/arm64`
- **部署方式**: ARM64 节点会自动拉取对应架构镜像，无需单独维护主应用镜像地址
### skill-scanner 官方镜像无 ARM64 支持
### skill-scanner 官方镜像支持 ARM64
- **问题**: `ghcr.io/yuan-lab-llm/skill-scanner:latest` 仅提供 amd64 平台
- **解决方案**: 使用第三方构建的 ARM64 镜像 `ghcr.io/xty00/skill-scanner:latest`
- **备选方案**: 从源码自行构建（见上文）
- **状态**: `ghcr.io/yuan-lab-llm/skill-scanner:latest` 已提供 ARM64 平台镜像
- **部署方式**: ARM64 节点会自动拉取对应架构镜像
- **建议**: 如需可复现部署，建议使用固定 tag 而非 `latest`
### ARM64 设备性能注意
docs/arm64-deployment_en.md
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@@ -11,14 +11,14 @@ The following images can be used for ARM64 deployments:
| Image | Address | Description |
|-------|---------|-------------|
| ClawManager Main App | `ghcr.io/yuan-lab-llm/clawmanager:latest` | Official multi-platform image with ARM64 support |
| Skill Scanner | `ghcr.io/xty00/skill-scanner:latest` | ARM64 version (official repo has no ARM64 support) |
| Skill Scanner | `ghcr.io/yuan-lab-llm/skill-scanner:latest` | Official image now supports ARM64 |
### Using Pre-built Images
```bash
# Pull ARM64 images
docker pull ghcr.io/yuan-lab-llm/clawmanager:latest --platform linux/arm64
docker pull ghcr.io/xty00/skill-scanner:latest --platform linux/arm64
docker pull ghcr.io/yuan-lab-llm/skill-scanner:latest --platform linux/arm64
```
## Building ARM64 Images from Source
@@ -37,11 +37,11 @@ CGO_ENABLED=0 go build -ldflags="-s -w -extldflags=-static" -o bin/clawreef-serv
docker buildx build --platform linux/amd64,linux/arm64 -t ghcr.io/your-name/clawmanager:latest --push .
```
### skill-scanner ARM64 Build
### skill-scanner ARM64 Build (Optional)
The skill-scanner official repo (`ghcr.io/yuan-lab-llm/skill-scanner`) only supports amd64 platform.
`ghcr.io/yuan-lab-llm/skill-scanner:latest` now supports ARM64.
ARM64 users need to build from source:
Build from source only if you need a customized image:
```bash
# Clone the repo
@@ -69,7 +69,7 @@ In `clawmanager.yaml`, make sure the image addresses support ARM64:
image: ghcr.io/yuan-lab-llm/clawmanager:latest
# skill-scanner (if needed)
image: ghcr.io/xty00/skill-scanner:latest
image: ghcr.io/yuan-lab-llm/skill-scanner:latest
```
### Database Initialization
@@ -94,11 +94,11 @@ FLUSH PRIVILEGES;
- **Platforms**: `linux/amd64`, `linux/arm64`
- **Deployment impact**: ARM64 nodes automatically pull the matching main app image without a separate ARM-only tag
### skill-scanner Official Image Has No ARM64 Support
### skill-scanner Official Image Supports ARM64
- **Problem**: `ghcr.io/yuan-lab-llm/skill-scanner:latest` only provides amd64 platform
- **Solution**: Use third-party ARM64 image `ghcr.io/xty00/skill-scanner:latest`
- **Alternative**: Build from source (see above)
- **Status**: `ghcr.io/yuan-lab-llm/skill-scanner:latest` now provides ARM64 image
- **Deployment impact**: ARM64 nodes automatically pull the matching architecture image
- **Recommendation**: pin a specific tag instead of `latest` for reproducible deployments
### ARM64 Device Performance Notes