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爪路由器

基于 TypeScript · 无代码搭建完整 AI 自动化流程
英文名:ClawRouter
⭐ 6.5k Stars 🍴 597 Forks 💻 TypeScript 📄 MIT 🏷 AI 8.0分
8.0AI 综合评分
aiai-agentscost-optimizationtypescript
✦ AI Skill Hub 推荐

爪路由器 是 AI Skill Hub 本期精选Agent工作流之一。已获得 6.5k 颗 GitHub Star,综合评分 8.0 分,整体质量较高。我们强烈推荐将其纳入你的 AI 工具库,帮助提升工作效率。

📚 深度解析
爪路由器 是一套完整的 AI Agent 自动化工作流方案。随着 AI 能力的不断提升,基于 Agent 的自动化工作流正在成为提升个人和团队效率的核心方式。区别于传统的 RPA 自动化(模拟鼠标键盘操作),AI Agent 工作流通过理解任务意图、动态规划执行路径,能够处理更复杂的非结构化任务。

爪路由器 工作流的设计遵循"最小配置,最大复用"原则:核心逻辑已经封装好,用户只需配置自己的 API Key 和业务参数即可快速上手。工作流内置错误处理和重试机制,在网络波动或 API 限速等情况下仍能稳定运行,适合作为生产环境的自动化基础设施。

在实际部署时,建议先在测试环境中运行 3-5 次,验证各个环节的输出结果符合预期,再部署到生产环境。AI Skill Hub 评分 8.0 分,是同类 Agent 工作流中的精选推荐。
📋 工具概览

爪路由器 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。

GitHub Stars
⭐ 6.5k
开发语言
TypeScript
支持平台
Windows / macOS / Linux
维护状态
持续维护,定期更新
开源协议
MIT
AI 综合评分
8.0 分
工具类型
Agent工作流
Forks
597
📖 中文文档
以下内容由 AI Skill Hub 根据项目信息自动整理,如需查看完整原始文档请访问底部「原始来源」。

爪路由器 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。

📌 核心特色
  • 可视化 Agent 工作流编排,无需编写复杂代码
  • 支持多步骤自动化任务链,实现全流程无人值守
  • 与外部 API、数据库和第三方服务无缝集成
  • 内置错误处理与自动重试机制,保障稳定运行
  • 提供可复用的自动化模板,快速在同类场景部署
🎯 主要使用场景
  • 自动化日常重复性工作,将精力集中于创造性任务
  • 构建数据采集 → 处理 → 输出的完整自动化管线
  • 实现跨平台、跨系统的数据流转和业务协同
以下安装命令基于项目开发语言和类型自动生成,实际以官方 README 为准。
安装命令
# 方式一:npm 全局安装
npm install -g clawrouter

# 方式二:npx 直接运行(无需安装)
npx clawrouter --help

# 方式三:项目依赖安装
npm install clawrouter

# 方式四:从源码运行
git clone https://github.com/BlockRunAI/ClawRouter
cd ClawRouter
npm install
npm start
📋 安装步骤说明
  1. 访问 GitHub 仓库获取工作流文件
  2. 在对应平台(Dify / Flowise / Make 等)中找到「导入工作流」功能
  3. 上传工作流文件
  4. 按照提示配置必要的环境变量和 API Key
  5. 运行测试确认流程正常后投入使用
以下用法示例由 AI Skill Hub 整理,涵盖最常见的使用场景。
常用命令 / 代码示例
# 命令行使用
clawrouter --help

# 基本用法
clawrouter [options] <input>

# Node.js 代码中使用
const clawrouter = require('clawrouter');

const result = await clawrouter.run(options);
console.log(result);
以下配置示例基于典型使用场景生成,具体参数请参照官方文档调整。
配置示例
# clawrouter 配置说明
# 查看配置选项
clawrouter --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 CLAWROUTER_CONFIG="/path/to/config.yml"
📑 README 深度解析 真实文档 完整度 50/100 查看 GitHub 原文 →
以下内容由系统直接从 GitHub README 解析整理,保留代码块、表格与列表结构。

简介

<img src="assets/banner.png" alt="ClawRouter Banner" width="600">

The LLM router built for autonomous agents

<p>Agents can't sign up for accounts. Agents can't enter credit cards.<br> Agents can only sign transactions.<br><br> <strong>ClawRouter is the only LLM router that lets agents operate independently.</strong><br><br> <em>10 models free, no crypto required. No signup. No API key. No credit card.</em></p>

<br>

<img src="https://img.shields.io/badge/🆓_10_Free_Models-success?style=for-the-badge" alt="10 free models">&nbsp; <img src="https://img.shields.io/badge/🤖_Agent--Native-black?style=for-the-badge" alt="Agent native">&nbsp; <img src="https://img.shields.io/badge/🔑_Zero_API_Keys-blue?style=for-the-badge" alt="No API keys">&nbsp; <img src="https://img.shields.io/badge/⚡_Local_Routing-yellow?style=for-the-badge" alt="Local routing">&nbsp; <img src="https://img.shields.io/badge/💰_x402_USDC-purple?style=for-the-badge" alt="x402 USDC">&nbsp; <img src="https://img.shields.io/badge/🔓_Open_Source-green?style=for-the-badge" alt="Open source">

npm version npm downloads GitHub stars CI TypeScript License: MIT

USDC Hackathon Winner x402 Protocol Base Network Solana OpenClaw Plugin Telegram

</div>

ClawRouter is an open-source smart LLM router that reduces AI API costs by up to 92%. It analyzes each request across 15 dimensions and routes to the cheapest capable model in under 1ms, entirely locally. ClawRouter is the only LLM router built for autonomous AI agents — it uses wallet signatures for authentication (no API keys) and USDC micropayments via the x402 protocol (no credit cards). 55+ models from OpenAI, Anthropic, Google, xAI, DeepSeek, and more. MIT licensed.

---

Quick Start

No wallet? 10 models work free out of the box. Install, run, and pin nvidia/gpt-oss-120b (or any of the 10) — no crypto, no signup, no balance required. Add USDC later when you want paid models.

Screenshots

Smart Routing in Action

ClawRouter savings
Telegram Integration

Telegram demo

---

Option A — OpenClaw Agent

OpenClaw is an AI coding agent. If you're using it, ClawRouter installs as a plugin. Two paths:

A1. Recommended — one-shot install script:

curl -fsSL https://blockrun.ai/ClawRouter-update | bash
openclaw gateway restart

This handles everything: registration, models config, auth profile, wallet setup. Smart routing (blockrun/auto) is now your default model.

A2. If you prefer pure npm:

npm install -g @blockrun/clawrouter
clawrouter setup            # finishes OpenClaw integration — REQUIRED
openclaw gateway restart
⚠️ Skipping clawrouter setup will leave you broken. Bare npm install -g only puts the package on disk; it does NOT register the plugin with OpenClaw, sync the models allowlist, or write the auth profile. Symptom: /models in your bot shows only ~7 entries (OpenClaw's hardcoded defaults) instead of the full ~38 BlockRun models. Run clawrouter setup to repair, or use path A1 to begin with.

Configuration

For basic usage, no configuration needed. For advanced options:

VariableDefaultDescription
BLOCKRUN_WALLET_KEYauto-generatedYour wallet private key
BLOCKRUN_PROXY_PORT8402Local proxy port
CLAWROUTER_DISABLEDfalseDisable smart routing
CLAWROUTER_SOLANA_RPC_URLhttps://api.mainnet-beta.solana.comSolana RPC endpoint

Full reference: docs/configuration.md

How it compares

OpenRouterLiteLLMMartianPortkey**ClawRouter**
**Models**200+100+Smart routingGateway**55+**
**Free tier**Rate-limitedBYO keysNoNo**8 models, no signup**
**Routing**Manual selectionManual selectionSmart (closed)Observability**Smart (open source)**
**Auth**Account + API keyYour API keysAccount + API keyAccount + API key**Wallet signature**
**Payment**Credit cardBYO keysCredit card$49-499/mo**USDC per-request**
**Runs locally**NoYesNoNo**Yes**
**Open source**NoYesNoPartial**Yes**
**Agent-ready**NoNoNoNo**Yes**

✓ Open source · ✓ Smart routing · ✓ Runs locally · ✓ Crypto native · ✓ Agent ready

We're the only one that checks all five boxes.

---

Option B — Standalone (continue.dev, Cursor, VS Code, any OpenAI-compatible client)

Using Claude Code? Check out BRCC — it's purpose-built for Claude Code with the same smart routing and x402 payments. Using NousResearch Hermes? See ClawRouter-Hermes — a Python plugin that wires Hermes into the ClawRouter proxy. Same wallet, same 55+ models, same x402 USDC settlement on Base & Solana.

No OpenClaw required. ClawRouter runs as a local proxy on port 8402.

1. Start the proxy

npx @blockrun/clawrouter

2. Fund your wallet — optional, skip for free tier Your wallet address is printed on first run. For paid models, send a few USDC on Base or Solana — $5 covers thousands of requests. To stay at $0, pin any of the 10 free models (e.g. nvidia/gpt-oss-120b) or use /model free inside OpenClaw.

3. Point your client at http://localhost:8402

<details> <summary><strong>continue.dev</strong> — <code>~/.continue/config.yaml</code></summary>

Important: apiBase must end with /v1/ (including the trailing slash). Without it, continue.dev constructs the URL as /chat/completions instead of /v1/chat/completions, and the proxy returns 404.
models:
  - name: ClawRouter Auto
    provider: openai
    model: blockrun/auto
    apiBase: http://localhost:8402/v1/
    apiKey: x402
    roles:
      - chat
      - edit
      - apply

To pin a specific model, replace blockrun/auto with any model from blockrun.ai/models, e.g. anthropic/claude-opus-4.6, xai/grok-4-0709.

Both provider: openai and provider: clawrouter work — just make sure apiBase ends with /v1/.

<details> <summary>Legacy JSON format (<code>~/.continue/config.json</code>)</summary>

{
  "models": [
    {
      "title": "ClawRouter Auto",
      "provider": "openai",
      "model": "blockrun/auto",
      "apiBase": "http://localhost:8402/v1/",
      "apiKey": "x402"
    }
  ]
}

</details> </details>

<details> <summary><strong>Cursor</strong> — Settings → Models → OpenAI-compatible</summary>

Set base URL to http://localhost:8402, API key to x402, model to blockrun/auto.

</details>

<details> <summary><strong>Any OpenAI SDK</strong></summary>

from openai import OpenAI
client = OpenAI(base_url="http://localhost:8402", api_key="x402")
response = client.chat.completions.create(model="blockrun/auto", messages=[...])

</details>

---

How does ClawRouter compare to OpenRouter?

ClawRouter is open source and runs locally. It uses wallet-based authentication (no API keys) and USDC per-request payments (no credit cards or subscriptions). OpenRouter requires an account, API key, and credit card. ClawRouter also features smart routing — it automatically picks the best model for each request, while OpenRouter requires manual model selection.

How does ClawRouter compare to LiteLLM?

Both are open source and run locally. But ClawRouter adds smart routing (automatic model selection), wallet-based auth, and USDC payments. LiteLLM requires you to bring your own API keys and manually choose models.

Troubleshooting

When things go wrong, run the doctor:

npx @blockrun/clawrouter doctor

This collects diagnostics and sends them to Claude Sonnet for AI-powered analysis:

🩺 BlockRun Doctor v0.12.24

System
  ✓ OS: darwin arm64
  ✓ Node: v20.11.0

Wallet
  ✓ Address: 0x1234...abcd
  ✓ Balance: $12.50

Network
  ✓ BlockRun API: reachable (142ms)
  ✗ Local proxy: not running on :8402

📤 Sending to Claude Sonnet 4.6 (~$0.003)...

🤖 AI Analysis:
The local proxy isn't running. Run `openclaw gateway restart` to fix.

Use Opus for complex issues:

npx @blockrun/clawrouter doctor opus

Ask a specific question:

npx @blockrun/clawrouter doctor "why is my request failing?"
npx @blockrun/clawrouter doctor opus "深度分析我的配置"

Cost: Sonnet ~$0.003 (default) | Opus ~$0.01

---

Frequently Asked Questions

🎯 aiskill88 AI 点评 A 级 2026-05-27

高效的AI路由和支付解决方案

⚡ 核心功能
👥 适合人群
自动化工程师和运维人员项目经理和业务分析师希望减少重复性工作的专业人士数字化转型团队
🎯 使用场景
  • 自动化日常重复性工作,将精力集中于创造性任务
  • 构建数据采集 → 处理 → 输出的完整自动化管线
  • 实现跨平台、跨系统的数据流转和业务协同
⚖️ 优点与不足
✅ 优点
  • +GitHub 6.5k Star,社区高度认可
  • +MIT 协议,可免费商用
  • +大幅减少重复性人工操作
  • +可视化流程,清晰直观
  • +可扩展性强,支持复杂场景
⚠️ 不足
  • 初始配置和调试需投入一定时间
  • 强依赖外部服务的稳定性
  • 复杂场景需具备一定技术基础
⚠️ 使用须知

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。

📄 License 说明

✅ 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。

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❓ 常见问题 FAQ
ClawRouter是一个开源的AI工作流路由器
💡 AI Skill Hub 点评

经综合评估,爪路由器 在Agent工作流赛道中表现稳健,质量优秀。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。

⬇️ 获取与下载
⬇ 下载源码 ZIP

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📚 深入学习 爪路由器
查看分步骤安装教程和完整使用指南,快速上手这款工具
🌐 原始信息
原始名称 ClawRouter
Topics aiai-agentscost-optimizationtypescript
GitHub https://github.com/BlockRunAI/ClawRouter
License MIT
语言 TypeScript
🔗 原始来源
🐙 GitHub 仓库  https://github.com/BlockRunAI/ClawRouter

收录时间:2026-05-27 · 更新时间:2026-05-27 · License:MIT · AI Skill Hub 不对第三方内容的准确性作法律背书。