DashClaw 是 AI Skill Hub 本期精选Agent工作流之一。综合评分 7.5 分,整体质量较高。我们推荐使用将其纳入你的 AI 工具库,帮助提升工作效率。
DashClaw 是一套完整的 AI Agent 自动化工作流方案。通过可视化的节点编排,将复杂的多步骤任务拆解为清晰的自动化流程,实现全程无人值守的智能处理。支持与数百种外部服务和 API 无缝集成,适合构建数据处理管线、业务自动化和 AI 辅助决策系统。
DashClaw 是一套完整的 AI Agent 自动化工作流方案。通过可视化的节点编排,将复杂的多步骤任务拆解为清晰的自动化流程,实现全程无人值守的智能处理。支持与数百种外部服务和 API 无缝集成,适合构建数据处理管线、业务自动化和 AI 辅助决策系统。
# 方式一:npm 全局安装 npm install -g dashclaw # 方式二:npx 直接运行(无需安装) npx dashclaw --help # 方式三:项目依赖安装 npm install dashclaw # 方式四:从源码运行 git clone https://github.com/ucsandman/DashClaw cd DashClaw npm install npm start
# 命令行使用
dashclaw --help
# 基本用法
dashclaw [options] <input>
# Node.js 代码中使用
const dashclaw = require('dashclaw');
const result = await dashclaw.run(options);
console.log(result);
# dashclaw 配置说明 # 查看配置选项 dashclaw --config-example > config.yml # 常见配置项 # output_dir: ./output # log_level: info # workers: 4 # 环境变量(覆盖配置文件) export DASHCLAW_CONFIG="/path/to/config.yml"
<p><strong>Govern AI agents before they act.</strong></p>
<p> DashClaw is the governance layer for AI agents that touch real systems. It sits between agents and the world, evaluates policy on every risky action, routes human approval where it is required, records verifiable evidence, and tracks terminal outcomes so a retried agent never silently double-executes. </p>
<p><sub>Plugs into the agents you already run: Claude Code, Codex, Hermes Agent, OpenClaw, Claude Desktop, and Claude Managed Agents. Framework integrations for LangChain, CrewAI, AutoGen, LangGraph, and OpenAI Agents SDK. Any other runtime over MCP, the Node/Python SDK, or direct REST.</sub></p>
<p> <a href="#deploy"><img alt="Deploy" src="https://img.shields.io/badge/Deploy-Vercel%20%2B%20Neon-orange?style=flat-square" /></a> <a href="#10-second-demo"><img alt="Try the demo" src="https://img.shields.io/badge/Demo-npx%20dashclaw--demo-blue?style=flat-square" /></a> <a href="#choose-your-integration-path"><img alt="Connect an agent" src="https://img.shields.io/badge/Connect-MCP%20%7C%20SDK%20%7C%20Hooks-zinc?style=flat-square" /></a> </p>
<p> <a href="https://dashclaw.io"><img src="https://img.shields.io/badge/website-dashclaw.io-orange?style=flat-square" alt="Website" /></a> <a href="https://dashclaw.io/docs"><img src="https://img.shields.io/badge/docs-SDK%20%26%20API-blue?style=flat-square" alt="Docs" /></a> <a href="https://github.com/ucsandman/DashClaw/stargazers"><img src="https://img.shields.io/github/stars/ucsandman/DashClaw?style=flat-square&color=yellow" alt="GitHub stars" /></a> <a href="https://github.com/ucsandman/DashClaw/blob/main/LICENSE"><img src="https://img.shields.io/badge/license-MIT-green?style=flat-square" alt="License" /></a> <a href="https://www.npmjs.com/package/dashclaw"><img src="https://img.shields.io/npm/v/dashclaw?style=flat-square&color=orange" alt="npm" /></a> <a href="https://pypi.org/project/dashclaw/"><img src="https://img.shields.io/pypi/v/dashclaw?style=flat-square&color=orange" alt="PyPI" /></a> </p> </div>
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npm run hooks:install ln -s "$(pwd)/plugins/dashclaw" ~/.claude/plugins/dashclaw
node cli/bin/dashclaw.js install codex --project /path/to/your/project
$0 to deploy. Vercel free tier plus Neon free tier. Click the button, add the Neon integration when prompted, fill in the env vars listed in .env.example. The schema migration runs as part of the build, so there is no manual migration step.
https://your-app.vercel.app and sign in.node --env-file=.env demo.js from any client environment and watch the governed action land in your decisions ledger.npx dashclaw-demo
Spins up a local demo runtime, fires a simulated high-risk deployment, lets DashClaw block it, and opens Decision Replay in your browser. No setup, no accounts.
UPSTASH_REDIS_REST_URL, UPSTASH_REDIS_REST_TOKEN) to get cross-instance event replay. Without it, Mission Control uses in-memory events, which is fine for getting started but does not persist across serverless invocations.docs/hosted-deployment-runbook.md. That path needs Turnstile, cleanup secrets, and an operator-managed cron.next start path are available; see Dockerfile. The schema migration in scripts/auto-migrate.mjs is idempotent and safe to re-run.---
For custom agents, frameworks, and anywhere you want explicit control over what gets governed.
npm install dashclaw # Node 18+
pip install dashclaw # Python 3.7+
87-method canonical Node surface: core governance, durable execution finality, scoring profiles, learning analytics, messaging, handoffs, security scanning, threads, sessions, and the execution-studio domains (workflow templates, model strategies, knowledge collections, capability runtime). The Python SDK exposes 227 methods including ready-made framework integrations:
```python
Every governance primitive is reachable as HTTP. The stable contract is pinned in docs/openapi/critical-stable.openapi.json; the full inventory (259 routes: 46 stable, 24 beta, 189 experimental) is at docs/api-inventory.md. Webhook events include signal.detected, decision.created, action.created, lost_confirmation, and the rest of the catalog — configurable per org.
Two drop-in skills, both available as zip bundles or source directories in public/downloads/ and auto-bundled into the coding-agent plugins:
dashclaw-governance — governance protocol skill. Teaches agents the decision tree (allow / warn / block / require_approval), action recording, approval-wait protocol, session lifecycle, plus six new sections for handoffs, secret hygiene, skill safety, action-scoped open loops, learning, and in-session retrospection.dashclaw-platform-intelligence — live API reference, env var contract, and troubleshooting playbook with progressive disclosure. Regenerated from the codebase on every release so it never drifts from the running runtime.cp -r public/downloads/dashclaw-governance .claude/skills/
cp -r public/downloads/dashclaw-platform-intelligence .claude/skills/
Or grab the zips from dashclaw.io/downloads. The platform-intelligence skill is also published on ClawHub.
---
npm install dashclaw # or: pip install dashclaw
import { DashClaw, GuardBlockedError, ApprovalDeniedError } from 'dashclaw';
const claw = new DashClaw({
baseUrl: process.env.DASHCLAW_BASE_URL,
apiKey: process.env.DASHCLAW_API_KEY,
agentId: 'my-agent',
});
// 1. Guard
const decision = await claw.guard({ action_type: 'deploy', risk_score: 80 });
// 2. Record
const action = await claw.createAction({
action_type: 'deploy',
declared_goal: 'Ship release 2.13.4 to production',
});
// 3. Verify reasoning basis
await claw.recordAssumption({
action_id: action.action_id,
assumption: 'Tests passed on the candidate commit',
});
// 4. Outcome (durable, retry-safe)
try {
// ...do the real work...
await claw.reportActionSuccess(action.action_id, 'Deployed 2.13.4');
} catch (err) {
await claw.reportActionFailure(action.action_id, err.message);
}
Python uses the same shape with snake_case. Full reference: sdk/README.md. Step-by-step walkthrough: QUICK-START.md.
---
DashClaw meets agents where they already are. Every path lands on the same governance primitives, audit ledger, and approval queue — pick the one closest to how your agent already runs.
One plugin source, three ecosystems. Distributed via plugins/dashclaw/. Each manifest ships the MCP server config, the dashclaw-governance protocol skill, the dashclaw-platform-intelligence reference skill, and a distinct agent_id so Mission Control separates sessions per host.
```bash
For agents built on OpenClaw, @dashclaw/openclaw-plugin wires governance into the lifecycle directly.
npm install @dashclaw/openclaw-plugin
It intercepts every tool-use call (before_tool_call, llm_output, after_tool_call, agent_end), calls guard / record / waitForApproval automatically, and ships a HOOK.md the openclaw CLI installs. Tool-classification vocabulary aligns with DashClaw guard action types so policies behave consistently across plugin, hook, and SDK paths.
DashClaw是一个有趣的AI工作流项目,提供了决策基础设施
AI Skill Hub 为第三方内容聚合平台,本页面信息基于公开数据整理,不对工具功能和质量作任何法律背书。
建议在沙箱或测试环境中充分验证后,再部署至生产环境,并做好必要的安全评估。
✅ MIT 协议 — 最宽松的开源协议之一,可自由商用、修改、分发,仅需保留版权声明。
经综合评估,DashClaw 在Agent工作流赛道中表现稳健,质量良好。如果你已有明确的使用需求,可以直接上手体验;如果还在评估阶段,建议对比同类工具后再做决策。
| 原始名称 | DashClaw |
| Topics | ai-agentsagent-frameworkjavascript |
| GitHub | https://github.com/ucsandman/DashClaw |
| License | MIT |
| 语言 | JavaScript |
收录时间:2026-05-31 · 更新时间:2026-05-31 · License:MIT · AI Skill Hub 不对第三方内容的准确性作法律背书。
选择 Agent 类型,复制安装指令后粘贴到对应客户端