← 返回
开发者工具 中文

Agent Spawner

Spawn a new OpenClaw agent through conversation. Uses official Docker setup and non-interactive onboarding, carries over API keys, tools, plugins, and skills...
通过对话生成新的 OpenClaw 智能体。使用官方 Docker 配置及非交互式引导,继承 API 密钥、工具、插件与技能。
austineral austineral 来源
开发者工具 clawhub v0.1.0 1 版本 99874.7 Key: 无需
★ 1
Stars
📥 1,574
下载
💾 8
安装
1
版本
#latest

概述

Agent Spawner

Deploy a new OpenClaw agent conversationally. Official install, carry over config from the current agent. User never edits a file.

1. Read Current Config (silent)

cat ~/.openclaw/openclaw.json
cat ~/.openclaw/.env 2>/dev/null
env | grep -iE 'API_KEY|TOKEN'
ls ~/.openclaw/extensions/
ls <workspace>/skills/

Identify:

  • Provider: check auth.profiles in config — could be Anthropic, OpenAI, Gemini, custom, etc.
  • API key: from env var or config (e.g. ANTHROPIC_API_KEY, GEMINI_API_KEY, OPENAI_API_KEY)
  • Model: from agents.defaults.model
  • Tool keys: anything in tools.* (search APIs, etc.)
  • Plugins: plugins.installs — names and npm specs
  • Skills: run openclaw skills list to see what's bundled vs workspace-only. Only carry over non-bundled skills.

2. Ask

  1. "Where should I deploy it?" — Docker (local or remote SSH) or bare metal?
  2. "Name?" — for container. Generate one if they don't care.
  3. "Anything special?" — purpose, constraints. Optional.

Don't ask about keys, plugins, skills, ports, or config. Carry everything over, use defaults.

3. Confirm Plan

After gathering answers, present the full plan before doing anything. Show everything in one summary:

Here's the plan:

📦 Deploy: Docker on <target>
📛 Name: <agent-name>
🌐 Port: <port>

Carrying over from current agent:
  ✅ Provider: Anthropic (API key)
  ✅ Model: anthropic/claude-sonnet-4-20250514
  ✅ Brave Search API key
  ✅ Plugins: openclaw-agent-reach
  ✅ Skills: agent-spawner, weather
  ✅ Heartbeat: 30m

The new agent will bootstrap its own identity on first message.

Good to go?

Only list items that actually exist. Wait for explicit confirmation before proceeding. If the user wants changes, adjust and re-confirm.

4. Deploy

Docker

git clone https://github.com/openclaw/openclaw.git <agent-name>
cd <agent-name>

Set env and run non-interactive onboard. Match the provider detected in step 1:

export OPENCLAW_IMAGE=alpine/openclaw:latest
export OPENCLAW_CONFIG_DIR=~/.openclaw-<agent-name>
export OPENCLAW_WORKSPACE_DIR=~/.openclaw-<agent-name>/workspace
export OPENCLAW_GATEWAY_PORT=<unused port, default 18789>
export OPENCLAW_GATEWAY_BIND=lan

mkdir -p $OPENCLAW_CONFIG_DIR/workspace

Onboard flags vary by provider. Use the matching --auth-choice and key flag:

Provider--auth-choiceKey flag
----------------------------------
AnthropicapiKey--anthropic-api-key
Geminigemini-api-key--gemini-api-key
OpenAIapiKey(set OPENAI_API_KEY env)
Customcustom-api-key--custom-api-key + --custom-base-url + --custom-model-id
docker compose run --rm openclaw-cli onboard --non-interactive --accept-risk \
  --mode local \
  --auth-choice <detected> \
  --<provider>-api-key "$API_KEY" \
  --gateway-port 18789 \
  --gateway-bind lan \
  --skip-skills

docker compose up -d openclaw-gateway

Official compose uses bind mounts — host user owns files, no permission issues.

Onboard error about gateway connection is expected (not running yet). Config is written.

Bare metal

curl -fsSL https://openclaw.ai/install.sh | bash -s -- --no-onboard

openclaw onboard --non-interactive --accept-risk \
  --mode local \
  --auth-choice <detected> \
  --<provider>-api-key "$API_KEY" \
  --gateway-port 18789 \
  --gateway-bind lan \
  --install-daemon \
  --daemon-runtime node \
  --skip-skills

5. Patch Running Agent

CLI alias:

  • Docker: OC="docker compose exec openclaw-gateway node /app/openclaw.mjs"
  • Bare metal: OC="openclaw"

Config (only patch what the current agent actually has):

$OC config set agents.defaults.model "<model>"
$OC config set agents.defaults.heartbeat.every "30m"
# Tool keys — only if they exist in current config
$OC config set tools.web.search.apiKey "<key>"

Plugins (from plugins.installs in current config):

$OC plugins install <npm-spec>
# Repeat for each plugin

Skills (copy workspace skills):

# Docker
docker cp <source-workspace>/skills/ <container>:/home/node/.openclaw/workspace/skills/
# Bare metal
cp -r <source-workspace>/skills/ ~/.openclaw/workspace/skills/

Restart:

docker compose restart openclaw-gateway  # Docker
openclaw gateway restart                 # bare metal

6. Hand Off

Read the gateway token:

grep -A1 '"token"' $OPENCLAW_CONFIG_DIR/openclaw.json

Tell the user:

  • URL: http://:/
  • Token: (from config — onboard auto-generates one)
  • "Say hello — it'll bootstrap itself."

Notes

  • openclaw not in PATH inside Docker. Use node /app/openclaw.mjs.
  • --accept-risk required for non-interactive onboard.
  • alpine/openclaw:latest — pre-built official image.
  • Don't use named Docker volumes — root ownership issues. Official compose uses bind mounts.
  • Multiple agents on same host: use different OPENCLAW_CONFIG_DIR and OPENCLAW_GATEWAY_PORT.
  • Plugins and skills persist in ~/.openclaw/ volume (extensions/ and workspace/skills/).
  • SSH keys, git config, apt packages are ephemeral — not in the volume, by design.

版本历史

共 1 个版本

  • v0.1.0 当前
    2026-03-29 04:27 安全 安全

安全检测

腾讯云安全 (Keen)

安全,无风险
查看报告

腾讯云安全 (Sanbu)

安全,无风险
查看报告

🔗 相关推荐

ai-agent

ontology

oswalpalash
类型化知识图谱,用于结构化智能体记忆与可组合技能。适用于以下场景:创建/查询实体(人物、项目、任务、事件、文档)、关联相关对象、强制执行约束、将多步操作规划为图谱变换,或当技能需要共享状态时。触发关键词包括"记住""我知道关于什么""将X链
★ 721 📥 244,936
ai-agent

Self-Improving + Proactive Agent

ivangdavila
自我反思+自我批评+自我学习+自组织记忆。智能体评估自身工作、发现错误并持续改进。
★ 1,380 📥 320,602
ai-agent

Skill Vetter

spclaudehome
AI智能体技能安全预审工具。安装ClawdHub、GitHub等来源技能前,检查风险信号、权限范围及可疑模式。
★ 1,228 📥 267,973