(七)Raspberry Pi Compute Module Zero Development Board 部署 PicoClaw
关于 PicoClaw
PicoClaw: 基于Go语言的超高效 AI 助手
🦐 PicoClaw 是一个受 nanobot 启发的超轻量级个人 AI 助手。它采用 Go 语言 从零重构,经历了一个"自举"过程------即由 AI Agent 自身驱动了整个架构迁移和代码优化。
⚡️ 极致轻量:可在 10 美元 的硬件上运行,内存占用不到 10MB。这意味着比 OpenClaw 节省 99% 的内存,比 Mac mini 便宜 98%!

主要特性
| 特性 |
描述 |
| 🪶 超轻量级 |
内存占用不到 10MB --- 比同类产品小 99% |
| 💰 极低成本 |
可在 $10 硬件上运行 --- 比 Mac mini 便宜 98% |
| ⚡️ 闪电启动 |
启动速度快 400 倍,即使在 0.6GHz 单核上也能 1 秒内启动 |
| 🌍 真正可移植 |
跨 RISC-V、ARM64 和 x86_64 的单二进制文件 |
| 🤖 AI 自举 |
95% 核心代码由 AI Agent 生成,经人机回环微调 |
| 💬 多通道支持 |
支持 Telegram、Discord、Slack、钉钉、飞书、企业微信、LINE、QQ 等 |
对比
|
OpenClaw |
NanoBot |
PicoClaw |
| 语言 |
TypeScript |
Python |
Go |
| RAM |
超过 1GB |
超过 100MB |
不到 10MB |
| 启动时间 (0.8GHz) |
超过 500s |
超过 30s |
不到 1s |
| 成本 |
Mac Mini $599 |
~$50 Linux 开发板 |
任意 Linux 开发板,低至 $10 |
架构图

(以上内容源自PicoClaw官方Github仓库:https://github.com/sipeed/picoclaw)
更多内容可以参考PicoClaw官方网站:https://picoclaw.io/
Raspberry Pi Compute Module Zero Development Board 安装 PicoClaw
操作系统选择
预编译二进制文件选择
从 Releases 页面 下载最新版本。所有版本打包为 .tar.gz(Linux/macOS/FreeBSD)或 .zip(Windows)。
| 平台 |
架构 |
下载 |
| 🐧 Linux |
x86_64 |
picoclaw_Linux_x86_64.tar.gz |
| 🐧 Linux |
ARM64 |
picoclaw_Linux_arm64.tar.gz |
| 🐧 Linux |
ARMv6(32 位) |
picoclaw_Linux_armv6.tar.gz |
| 🐧 Linux |
RISC-V 64 |
picoclaw_Linux_riscv64.tar.gz |
| 🐧 Linux |
LoongArch64 |
picoclaw_Linux_loong64.tar.gz |
| 🍎 macOS |
ARM64 (Apple Silicon) |
picoclaw_Darwin_arm64.tar.gz |
| 🍎 macOS |
x86_64 |
picoclaw_Darwin_x86_64.tar.gz |
| 🪟 Windows |
x86_64 |
picoclaw_Windows_x86_64.zip |
| 🪟 Windows |
ARM64 |
picoclaw_Windows_arm64.zip |
| 😈 FreeBSD |
x86_64 |
picoclaw_Freebsd_x86_64.tar.gz |
| 😈 FreeBSD |
ARM64 |
picoclaw_Freebsd_arm64.tar.gz |
| 😈 FreeBSD |
ARMv6 |
picoclaw_Freebsd_armv6.tar.gz |
一键安装 PicoClaw
bash
复制代码
wget https://github.com/sipeed/picoclaw/releases/latest/download/picoclaw_Linux_arm64.tar.gz
tar -xzf picoclaw_Linux_arm64.tar.gz
./picoclaw onboard
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██║ ██║╚██████╗╚██████╔╝╚██████╗███████╗██║ ██║╚███╔███╔╝
╚═╝ ╚═╝ ╚═════╝ ╚═════╝ ╚═════╝╚══════╝╚═╝ ╚═╝ ╚══╝╚══╝
Config already exists at /home/picoclaw/.picoclaw/config.json
Overwrite? (y/n):
显示上述内容即为安装成功。
Raspberry Pi Compute Module Zero Development Board 配置 PicoClaw
工作区布局
PicoClaw 将数据存储在工作区中(默认:~/.picoclaw/workspace):
bash
复制代码
~/.picoclaw/workspace/
├── sessions/ # 对话会话和历史
├── memory/ # 长期记忆 (MEMORY.md)
├── state/ # 持久化状态 (最后一次频道等)
├── cron/ # 定时任务数据库
├── skills/ # 自定义技能
├── AGENTS.md # Agent 行为指南
├── HEARTBEAT.md # 周期性任务提示词 (每 30 分钟检查一次)
├── IDENTITY.md # Agent 身份设定
├── SOUL.md # Agent 灵魂/性格
└── USER.md # 用户偏好
模型配置
bash
复制代码
sudo nano .picoclaw/config.json
#修改下述内容
"model_list": [
{
"model_name": "ark-code-latest",
"model": "volcengine/ark-code-latest",
"api_key": "sk-your-volcengine-key"
},
{
"model_name": "gpt-5.4",
"model": "openai/gpt-5.4",
"api_key": "sk-your-openai-key",
"api_base": "https://api.openai.com/v1"
},
{
"model_name": "claude-sonnet-4.6",
"model": "anthropic/claude-sonnet-4.6",
"api_key": "sk-ant-your-key",
"api_base": "https://api.anthropic.com/v1"
},
{
"model_name": "gemini",
"model": "antigravity/gemini-2.0-flash",
"auth_method": "oauth"
},
{
"model_name": "deepseek",
"model": "deepseek/deepseek-chat",
"api_key": "sk-your-deepseek-key"
},
{
"model_name": "loadbalanced-gpt-5.4",
"model": "openai/gpt-5.4",
"api_key": "sk-key1",
"api_base": "https://api1.example.com/v1"
},
{
"model_name": "loadbalanced-gpt-5.4",
"model": "openai/gpt-5.4",
"api_key": "sk-key2",
"api_base": "https://api2.example.com/v1"
}
],
| 字段 |
类型 |
必填 |
说明 |
| model_name |
string |
是 |
别名(在 agents.defaults.model_name 中引用) |
| model |
string |
是 |
vendor/model-id 格式 |
| api_key |
string |
视情况 |
提供商 API Key |
| api_base |
string |
否 |
覆盖默认 API 地址 |
| auth_method |
string |
否 |
认证方式(如 oauth) |
| proxy |
string |
否 |
该模型 API 调用的 HTTP/SOCKS 代理 |
| request_timeout |
int |
否 |
请求超时时间(秒),默认 120 |
| rpm |
int |
否 |
速率限制 --- 每分钟请求数 |
聊天通道配置
bash
复制代码
sudo nano .picoclaw/config.json
#修改下述内容
"channels": {
"telegram": {
"enabled": false,
"token": "YOUR_TELEGRAM_BOT_TOKEN",
"base_url": "",
"proxy": "",
"allow_from": ["YOUR_USER_ID"],
"reasoning_channel_id": ""
},
"discord": {
"enabled": false,
"token": "YOUR_DISCORD_BOT_TOKEN",
"proxy": "",
"allow_from": [],
"group_trigger": {
"mention_only": false
},
"reasoning_channel_id": ""
},
"qq": {
"enabled": false,
"app_id": "YOUR_QQ_APP_ID",
"app_secret": "YOUR_QQ_APP_SECRET",
"allow_from": [],
"reasoning_channel_id": ""
},
"maixcam": {
"enabled": false,
"host": "0.0.0.0",
"port": 18790,
"allow_from": [],
"reasoning_channel_id": ""
},
"whatsapp": {
"enabled": false,
"bridge_url": "ws://localhost:3001",
"use_native": false,
"session_store_path": "",
"allow_from": [],
"reasoning_channel_id": ""
},
"feishu": {
"enabled": false,
"app_id": "",
"app_secret": "",
"encrypt_key": "",
"verification_token": "",
"allow_from": [],
"reasoning_channel_id": ""
},
"dingtalk": {
"enabled": false,
"client_id": "YOUR_CLIENT_ID",
"client_secret": "YOUR_CLIENT_SECRET",
"allow_from": [],
"reasoning_channel_id": ""
},
"slack": {
"enabled": false,
"bot_token": "xoxb-YOUR-BOT-TOKEN",
"app_token": "xapp-YOUR-APP-TOKEN",
"allow_from": [],
"reasoning_channel_id": ""
},
"line": {
"enabled": false,
"channel_secret": "YOUR_LINE_CHANNEL_SECRET",
"channel_access_token": "YOUR_LINE_CHANNEL_ACCESS_TOKEN",
"webhook_path": "/webhook/line",
"allow_from": [],
"reasoning_channel_id": ""
},
"onebot": {
"enabled": false,
"ws_url": "ws://127.0.0.1:3001",
"access_token": "",
"reconnect_interval": 5,
"group_trigger_prefix": [],
"allow_from": [],
"reasoning_channel_id": ""
},
"wecom": {
"enabled": false,
"token": "YOUR_TOKEN",
"encoding_aes_key": "YOUR_43_CHAR_ENCODING_AES_KEY",
"webhook_url": "https://qyapi.weixin.qq.com/cgi-bin/webhook/send?key=YOUR_KEY",
"webhook_path": "/webhook/wecom",
"allow_from": [],
"reply_timeout": 5,
"reasoning_channel_id": ""
},
"wecom_app": {
"enabled": false,
"corp_id": "YOUR_CORP_ID",
"corp_secret": "YOUR_CORP_SECRET",
"agent_id": 1000002,
"token": "YOUR_TOKEN",
"encoding_aes_key": "YOUR_43_CHAR_ENCODING_AES_KEY",
"webhook_path": "/webhook/wecom-app",
"allow_from": [],
"reply_timeout": 5,
"reasoning_channel_id": ""
},
"wecom_aibot": {
"enabled": false,
"token": "YOUR_TOKEN",
"encoding_aes_key": "YOUR_43_CHAR_ENCODING_AES_KEY",
"webhook_path": "/webhook/wecom-aibot",
"max_steps": 10,
"welcome_message": "你好!我是你的 AI 助手,有什么可以帮你的吗?",
"reasoning_channel_id": ""
},
"matrix": {
"enabled": false,
"homeserver": "https://matrix.org",
"user_id": "@your-bot:matrix.org",
"access_token": "YOUR_MATRIX_ACCESS_TOKEN",
"device_id": "",
"join_on_invite": true,
"allow_from": [],
"group_trigger": {
"mention_only": true
},
"placeholder": {
"enabled": true,
"text": "正在思考..."
},
"reasoning_channel_id": ""
}
},
工具配置
bash
复制代码
sudo nano .picoclaw/config.json
#修改下述内容
"tools": {
"web": {
"brave": {
"enabled": false,
"api_key": "YOUR_BRAVE_API_KEY",
"max_results": 5
},
"duckduckgo": {
"enabled": true,
"max_results": 5
},
"perplexity": {
"enabled": false,
"api_key": "pplx-xxx",
"max_results": 5
},
"proxy": ""
},
MCP配置
bash
复制代码
sudo nano .picoclaw/config.json
#修改下述内容
"mcp": {
"enabled": false,
"servers": {
"context7": {
"enabled": false,
"type": "http",
"url": "https://mcp.context7.com/mcp"
},
"filesystem": {
"enabled": false,
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-filesystem", "/tmp"]
},
"github": {
"enabled": false,
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-github"],
"env": { "GITHUB_PERSONAL_ACCESS_TOKEN": "YOUR_TOKEN" }
}
}
},
心跳任务配置
bash
复制代码
sudo nano .picoclaw/config.json
#修改下述内容
"heartbeat": {
"enabled": true,
"interval": 30
},
- Agent 会每隔 30 分钟读取文件,并使用可用工具执行其中的任务。
- 新建心跳任务
bash
复制代码
sudo nano .picoclaw/workspace/HEARTBEAT.md
#添加心跳任务内容
# 周期任务
- 检查我的邮件中是否有重要消息
- 查看日历中即将到来的日程
- 查询今天的天气预报
安全沙箱
bash
复制代码
sudo nano .picoclaw/config.json
#修改下述内容
{
"agents": {
"defaults": {
"workspace": "~/.picoclaw/workspace",
"restrict_to_workspace": true,
"model_name": " ",
"max_tokens": 32768,
"max_tool_iterations": 50
}
},
| 配置项 |
默认值 |
说明 |
| workspace |
~/.picoclaw/workspace |
Agent 的工作目录 |
| restrict_to_workspace |
true |
将文件/命令访问限制在工作目录内 |
| allow_read_outside_workspace |
false |
即使开启了限制,也允许读取工作目录以外的文件 |
完整配置参考
bash
复制代码
{
"agents": {
"defaults": {
"workspace": "~/.picoclaw/workspace",
"restrict_to_workspace": true,
"model_name": "gpt-5.4",
"max_tokens": 32768,
"max_tool_iterations": 50
}
},
"model_list": [
{
"model_name": "ark-code-latest",
"model": "volcengine/ark-code-latest",
"api_key": "sk-your-volcengine-key"
},
{
"model_name": "gpt-5.4",
"model": "openai/gpt-5.4",
"api_key": "sk-your-openai-key",
"api_base": "https://api.openai.com/v1"
},
{
"model_name": "claude-sonnet-4.6",
"model": "anthropic/claude-sonnet-4.6",
"api_key": "sk-ant-your-key",
"api_base": "https://api.anthropic.com/v1"
},
{
"model_name": "gemini",
"model": "antigravity/gemini-2.0-flash",
"auth_method": "oauth"
},
{
"model_name": "deepseek",
"model": "deepseek/deepseek-chat",
"api_key": "sk-your-deepseek-key"
},
{
"model_name": "loadbalanced-gpt-5.4",
"model": "openai/gpt-5.4",
"api_key": "sk-key1",
"api_base": "https://api1.example.com/v1"
},
{
"model_name": "loadbalanced-gpt-5.4",
"model": "openai/gpt-5.4",
"api_key": "sk-key2",
"api_base": "https://api2.example.com/v1"
}
],
"channels": {
"telegram": {
"enabled": false,
"token": "YOUR_TELEGRAM_BOT_TOKEN",
"base_url": "",
"proxy": "",
"allow_from": ["YOUR_USER_ID"],
"reasoning_channel_id": ""
},
"discord": {
"enabled": false,
"token": "YOUR_DISCORD_BOT_TOKEN",
"proxy": "",
"allow_from": [],
"group_trigger": {
"mention_only": false
},
"reasoning_channel_id": ""
},
"qq": {
"enabled": false,
"app_id": "YOUR_QQ_APP_ID",
"app_secret": "YOUR_QQ_APP_SECRET",
"allow_from": [],
"reasoning_channel_id": ""
},
"maixcam": {
"enabled": false,
"host": "0.0.0.0",
"port": 18790,
"allow_from": [],
"reasoning_channel_id": ""
},
"whatsapp": {
"enabled": false,
"bridge_url": "ws://localhost:3001",
"use_native": false,
"session_store_path": "",
"allow_from": [],
"reasoning_channel_id": ""
},
"feishu": {
"enabled": false,
"app_id": "",
"app_secret": "",
"encrypt_key": "",
"verification_token": "",
"allow_from": [],
"reasoning_channel_id": ""
},
"dingtalk": {
"enabled": false,
"client_id": "YOUR_CLIENT_ID",
"client_secret": "YOUR_CLIENT_SECRET",
"allow_from": [],
"reasoning_channel_id": ""
},
"slack": {
"enabled": false,
"bot_token": "xoxb-YOUR-BOT-TOKEN",
"app_token": "xapp-YOUR-APP-TOKEN",
"allow_from": [],
"reasoning_channel_id": ""
},
"line": {
"enabled": false,
"channel_secret": "YOUR_LINE_CHANNEL_SECRET",
"channel_access_token": "YOUR_LINE_CHANNEL_ACCESS_TOKEN",
"webhook_path": "/webhook/line",
"allow_from": [],
"reasoning_channel_id": ""
},
"onebot": {
"enabled": false,
"ws_url": "ws://127.0.0.1:3001",
"access_token": "",
"reconnect_interval": 5,
"group_trigger_prefix": [],
"allow_from": [],
"reasoning_channel_id": ""
},
"wecom": {
"enabled": false,
"token": "YOUR_TOKEN",
"encoding_aes_key": "YOUR_43_CHAR_ENCODING_AES_KEY",
"webhook_url": "https://qyapi.weixin.qq.com/cgi-bin/webhook/send?key=YOUR_KEY",
"webhook_path": "/webhook/wecom",
"allow_from": [],
"reply_timeout": 5,
"reasoning_channel_id": ""
},
"wecom_app": {
"enabled": false,
"corp_id": "YOUR_CORP_ID",
"corp_secret": "YOUR_CORP_SECRET",
"agent_id": 1000002,
"token": "YOUR_TOKEN",
"encoding_aes_key": "YOUR_43_CHAR_ENCODING_AES_KEY",
"webhook_path": "/webhook/wecom-app",
"allow_from": [],
"reply_timeout": 5,
"reasoning_channel_id": ""
},
"wecom_aibot": {
"enabled": false,
"token": "YOUR_TOKEN",
"encoding_aes_key": "YOUR_43_CHAR_ENCODING_AES_KEY",
"webhook_path": "/webhook/wecom-aibot",
"max_steps": 10,
"welcome_message": "你好!我是你的 AI 助手,有什么可以帮你的吗?",
"reasoning_channel_id": ""
},
"matrix": {
"enabled": false,
"homeserver": "https://matrix.org",
"user_id": "@your-bot:matrix.org",
"access_token": "YOUR_MATRIX_ACCESS_TOKEN",
"device_id": "",
"join_on_invite": true,
"allow_from": [],
"group_trigger": {
"mention_only": true
},
"placeholder": {
"enabled": true,
"text": "正在思考..."
},
"reasoning_channel_id": ""
}
},
"tools": {
"web": {
"brave": {
"enabled": false,
"api_key": "YOUR_BRAVE_API_KEY",
"max_results": 5
},
"duckduckgo": {
"enabled": true,
"max_results": 5
},
"perplexity": {
"enabled": false,
"api_key": "pplx-xxx",
"max_results": 5
},
"proxy": ""
},
"mcp": {
"enabled": false,
"servers": {
"context7": {
"enabled": false,
"type": "http",
"url": "https://mcp.context7.com/mcp"
},
"filesystem": {
"enabled": false,
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-filesystem", "/tmp"]
},
"github": {
"enabled": false,
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-github"],
"env": { "GITHUB_PERSONAL_ACCESS_TOKEN": "YOUR_TOKEN" }
}
}
},
"cron": {
"exec_timeout_minutes": 5
},
"exec": {
"enable_deny_patterns": true,
"custom_deny_patterns": [],
"custom_allow_patterns": []
},
"skills": {
"registries": {
"clawhub": {
"enabled": true,
"base_url": "https://clawhub.ai",
"search_path": "/api/v1/search",
"skills_path": "/api/v1/skills",
"download_path": "/api/v1/download"
}
}
}
},
"heartbeat": {
"enabled": true,
"interval": 30
},
"devices": {
"enabled": false,
"monitor_usb": true
},
"gateway": {
"host": "127.0.0.1",
"port": 18790
}
}
| 字段 |
类型 |
默认值 |
说明 |
| workspace |
string |
~/.picoclaw/workspace |
Agent 工作目录(受 PICOCLAW_HOME 影响) |
| restrict_to_workspace |
bool |
true |
限制文件/命令访问在工作目录内 |
| allow_read_outside_workspace |
bool |
false |
允许读取工作目录以外的文件(restrict_to_workspace 为 true 时生效) |
| model_name |
string |
--- |
默认模型名(必须在 model_list 中存在) |
| model |
string |
--- |
已废弃:请使用 model_name |
| model_fallbacks |
array |
[] |
备用模型名列表,主模型失败时按顺序尝试 |
| max_tokens |
int |
32768 |
每次响应最大 token 数 |
| temperature |
float |
--- |
LLM 温度(省略则使用提供商默认值) |
| max_tool_iterations |
int |
50 |
每次请求最多工具调用次数 |
| max_media_size |
int |
20971520 |
最大媒体文件大小(字节),默认 20MB |
| image_model |
string |
--- |
图片生成使用的模型名 |
| image_model_fallbacks |
array |
[] |
图片生成备用模型 |
| routing |
object |
--- |
智能模型路由设置(见下方) |
routing
| 字段 |
类型 |
默认值 |
说明 |
| enabled |
bool |
false |
启用智能模型路由 |
| light_model |
string |
--- |
用于简单任务的模型名(需在 model_list 中存在) |
| threshold |
float |
--- |
复杂度评分阈值 [0,1];评分 >= 阈值使用主模型,低于阈值使用 light_model |
启用后,PicoClaw 会根据消息的结构特征(长度、代码块、工具调用历史、对话深度、附件)对每条消息评分,将简单消息路由到更轻量/低成本的模型。
| 字段 |
类型 |
必填 |
说明 |
| model_name |
string |
是 |
别名(在 agents.defaults.model_name 中引用) |
| model |
string |
是 |
vendor/model-id 格式 |
| api_key |
string |
视情况 |
提供商 API Key |
| api_base |
string |
否 |
覆盖默认 API 地址 |
| auth_method |
string |
否 |
认证方式(如 oauth) |
| proxy |
string |
否 |
该模型的 HTTP/SOCKS 代理 |
| request_timeout |
int |
否 |
请求超时时间(秒),默认 120 |
| rpm |
int |
否 |
速率限制(每分钟请求数) |
| max_tokens_field |
string |
否 |
覆盖 API 请求中的 max tokens 字段名 |
| connect_mode |
string |
否 |
连接模式覆盖 |
| workspace |
string |
否 |
模型级工作目录覆盖 |
| thinking_level |
string |
否 |
扩展思考级别:off、low、medium、high、xhigh 或 adaptive |
| 字段 |
类型 |
默认值 |
说明 |
| host |
string |
127.0.0.1 |
网关监听地址 |
| port |
int |
18790 |
网关监听端口 |
设置 host: "0.0.0.0" 可让网关对外开放。
所有渠道均支持以下字段:
| 字段 |
类型 |
说明 |
| enabled |
bool |
启用/禁用该渠道 |
| allow_from |
array |
允许使用机器人的用户 ID(空数组 = 允许所有人) |
| reasoning_channel_id |
string |
专用于输出推理过程的频道/群组 ID |
| group_trigger |
object |
群聊触发设置(见下方) |
| placeholder |
object |
占位消息设置(见下方) |
| typing |
object |
输入状态指示器设置(见下方) |
| 字段 |
类型 |
说明 |
| mention_only |
bool |
仅在群聊中被 @ 时响应 |
| prefixes |
array |
群聊中触发机器人的关键词前缀 |
| 字段 |
类型 |
说明 |
| enabled |
bool |
启用占位消息 |
| text |
string |
处理期间显示的占位文本(如"正在思考...") |
支持的通道:飞书、Slack、Matrix。
| 字段 |
类型 |
说明 |
| enabled |
bool |
处理期间显示"正在输入"状态 |
支持的通道:Slack、Matrix。
Raspberry Pi Compute Module Zero Development Board 使用 PicoClaw
| 命令 |
描述 |
| picoclaw onboard |
初始化配置和工作目录 |
| picoclaw agent -m "..." |
单次对话 |
| picoclaw agent |
交互式对话模式 |
| picoclaw gateway |
启动网关(用于聊天应用) |
| picoclaw status |
显示状态 |
| picoclaw cron list |
列出所有定时任务 |
| picoclaw cron add ... |
添加定时任务 |
Raspberry Pi Compute Module Zero Development Board 使用 PicoClaw WEB管理
Raspberry Pi Compute Module Zero Development Board 输入;
bash
复制代码
./picoclaw-launcher -public
██████╗ ██╗ ██████╗ ██████╗ ██████╗██╗ █████╗ ██╗ ██╗
██╔══██╗██║██╔════╝██╔═══██╗██╔════╝██║ ██╔══██╗██║ ██║
██████╔╝██║██║ ██║ ██║██║ ██║ ███████║██║ █╗ ██║
██╔═══╝ ██║██║ ██║ ██║██║ ██║ ██╔══██║██║███╗██║
██║ ██║╚██████╗╚██████╔╝╚██████╗███████╗██║ ██║╚███╔███╔╝
╚═╝ ╚═╝ ╚═════╝ ╚═════╝ ╚═════╝╚══════╝╚═╝ ╚═╝ ╚══╝╚══╝
Open the following URL in your browser:
>> http://localhost:18800 <<
>> http://192.168.2.200:18800 <<
2026/03/17 00:00:00 Started picoclaw gateway (PID: 2291) from /home/picoclaw/picoclaw_Linux_arm64/picoclaw
2026/03/17 00:00:00 Gateway auto-started (PID: 2291)
Raspberry Pi Compute Module Zero Development Board 使用 PicoClaw QQ 管理
Raspberry Pi Compute Module Zero Development Board 输入;
bash
复制代码
./picoclaw gateway
██████╗ ██╗ ██████╗ ██████╗ ██████╗██╗ █████╗ ██╗ ██╗
██╔══██╗██║██╔════╝██╔═══██╗██╔════╝██║ ██╔══██╗██║ ██║
██████╔╝██║██║ ██║ ██║██║ ██║ ███████║██║ █╗ ██║
██╔═══╝ ██║██║ ██║ ██║██║ ██║ ██╔══██║██║███╗██║
██║ ██║╚██████╗╚██████╔╝╚██████╗███████╗██║ ██║╚███╔███╔╝
╚═╝ ╚═╝ ╚═════╝ ╚═════╝ ╚═════╝╚══════╝╚═╝ ╚═╝ ╚══╝╚══╝
2026/03/17 00:00:00 [2026-03-17T00:00:00Z] [INFO] agent: Created implicit main agent (no agents.list configured)
📦 Agent Status:
• Tools: 15 loaded
• Skills: 6/6 available
在手机QQ中选择对应QQ机器人输入内容,如下图所示即为成功。