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Decentralized Agent Cloud

作者 Justin Liu · GitHub ↗ · v1.0.0 · MIT-0
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在 OpenClaw 中安装
/install decentralized-agent-cloud
功能描述
Decentralized compute and data marketplace for AI agents with spot pricing | 去中心化 AI Agent 计算和数据市场,支持 Spot 动态定价
使用说明 (SKILL.md)

Decentralized Agent Cloud

去中心化 Agent 云平台

Decentralized compute and data marketplace for AI agents with spot pricing

为 AI Agent 提供去中心化计算和数据市场,支持动态 Spot 定价


🌟 What is This? | 这是什么?

English: A peer-to-peer marketplace where AI agents can discover and execute computational skills (video generation, data processing, ML inference, etc.) with real-time spot pricing. Like Uber for AI compute - agents can instantly buy computing resources at market prices.

中文: 一个点对点的市场平台,AI Agent 可以发现和执行计算技能(视频生成、数据处理、机器学习推理等),使用实时 Spot 定价。就像 Uber 一样,但用于 AI 计算 - Agent 可以按市场价格即时购买计算资源。


🎯 Core Features | 核心功能

English:

  • 🤖 Agent-First Design - Built for autonomous AI agents
  • 💰 Spot Pricing - Dynamic pricing saves 60-90% vs on-demand
  • 🔄 Decentralized - No single point of failure
  • 📦 Skill Marketplace - Discover and execute 100+ pre-built skills
  • Instant Execution - Smart matching finds optimal provider in \x3C1s
  • 💳 Pay-Per-Second - Granular billing, no minimum commitment

中文:

  • 🤖 AI Agent 优先设计 - 专为自主 AI Agent 构建
  • 💰 Spot 动态定价 - 相比按需定价节省 60-90% 成本
  • 🔄 去中心化 - 无单点故障
  • 📦 技能市场 - 发现并执行 100+ 预构建技能
  • 即时执行 - 智能匹配在 1 秒内找到最优提供者
  • 💳 按秒计费 - 精细计费,无最低承诺

🚀 Quick Start | 快速开始

Installation | 安装

English:

# Via npm
npm install openclaw-decentralized-agent-cloud

# Via ClawHub
clawhub install decentralized-agent-cloud

中文:

# 通过 npm
npm install openclaw-decentralized-agent-cloud

# 通过 ClawHub
clawhub install decentralized-agent-cloud

Usage Example | 使用示例

English:

import { createAgentClient } from 'openclaw-decentralized-agent-cloud';

// Initialize client
const client = createAgentClient({
  apiKey: 'your-api-key',
  agentId: 'my-agent',
});

// Execute video generation skill
const task = await client.executeSkill('video-generator', {
  script: 'AI is changing the world. Three breakthroughs happened today.',
  voice: 'nova',
  speed: 1.15,
});

// Wait for result
const result = await client.waitForTask(task.id);
console.log(result.output.videoUrl);
// Output: https://storage.agent-cloud.io/videos/abc123.mp4

中文:

import { createAgentClient } from 'openclaw-decentralized-agent-cloud';

// 初始化客户端
const client = createAgentClient({
  apiKey: 'your-api-key',
  agentId: 'my-agent',
});

// 执行视频生成技能
const task = await client.executeSkill('video-generator', {
  script: 'AI 正在改变世界。今天发生了三个突破。',
  voice: 'nova',
  speed: 1.15,
});

// 等待结果
const result = await client.waitForTask(task.id);
console.log(result.output.videoUrl);
// 输出: https://storage.agent-cloud.io/videos/abc123.mp4

💡 Use Cases | 使用场景

English:

1. AI Video Generation

// Generate professional short videos from text
const video = await client.executeSkill('video-generator', {
  script: 'Your marketing message here...',
  voice: 'nova',
});

2. Data Processing

// Process large datasets with auto-scaling compute
const result = await client.executeSkill('data-processor', {
  dataset: 's3://my-bucket/data.csv',
  operation: 'analyze',
  resourceRequirements: {
    compute: { type: 'GPU', memory: 16 }
  }
});

3. ML Model Inference

// Run inference on available GPU clusters
const prediction = await client.executeSkill('llm-inference', {
  model: 'gpt-4',
  prompt: 'Explain quantum computing',
  maxPrice: 0.50 // bid up to $0.50/hour
});

中文:

1. AI 视频生成

// 从文本生成专业短视频
const video = await client.executeSkill('video-generator', {
  script: '您的营销信息...',
  voice: 'nova',
});

2. 数据处理

// 使用自动扩展计算处理大型数据集
const result = await client.executeSkill('data-processor', {
  dataset: 's3://my-bucket/data.csv',
  operation: 'analyze',
  resourceRequirements: {
    compute: { type: 'GPU', memory: 16 }
  }
});

3. ML 模型推理

// 在可用的 GPU 集群上运行推理
const prediction = await client.executeSkill('llm-inference', {
  model: 'gpt-4',
  prompt: '解释量子计算',
  maxPrice: 0.50 // 出价最高 $0.50/小时
});

📊 Pricing Comparison | 价格对比

English:

Traditional Cloud (AWS):

  • On-Demand GPU: $3.06/hour
  • Reserved GPU (1 year): $1.50/hour

Decentralized Agent Cloud:

  • Spot GPU: $0.30-1.20/hour (60-90% savings)
  • Dynamic pricing based on real-time market conditions
Resource Traditional Spot Price Savings
CPU (4 cores, 8GB) $0.20/hr $0.05/hr 75%
GPU (V100 16GB) $3.06/hr $0.50/hr 84%
GPU (A100 40GB) $5.50/hr $1.20/hr 78%

中文:

传统云(AWS)

  • 按需 GPU:$3.06/小时
  • 预留 GPU(1年):$1.50/小时

去中心化 Agent 云

  • Spot GPU:$0.30-1.20/小时(节省 60-90%)
  • 基于实时市场状况的动态定价
资源 传统云 Spot 价格 节省
CPU (4核, 8GB) $0.20/时 $0.05/时 75%
GPU (V100 16GB) $3.06/时 $0.50/时 84%
GPU (A100 40GB) $5.50/时 $1.20/时 78%

🏗️ Architecture | 架构

English:

┌─────────────────────────────────────────────────┐
│       DECENTRALIZED AGENT CLOUD                 │
│                                                 │
│  ┌──────────────┐  ┌──────────────┐           │
│  │Skill Registry│  │Spot Pricing  │           │
│  │              │  │   Engine     │           │
│  │• Discovery   │  │• Supply/     │           │
│  │• Validation  │  │  Demand      │           │
│  └──────────────┘  └──────────────┘           │
│                                                 │
│  ┌──────────────┐  ┌──────────────┐           │
│  │Task Scheduler│  │Resource      │           │
│  │              │  │Marketplace   │           │
│  │• Matching    │  │• Providers   │           │
│  │• Execution   │  │• Consumers   │           │
│  └──────────────┘  └──────────────┘           │
└─────────────────────────────────────────────────┘
         ▲                    ▲
         │                    │
    ┌────┴────┐         ┌─────┴─────┐
    │ Agents  │         │ Providers │
    │(Buyers) │         │ (Sellers) │
    └─────────┘         └───────────┘

Core Components:

  1. Skill Registry - Central catalog of available skills
  2. Spot Pricing Engine - Dynamic pricing based on supply/demand
  3. Task Scheduler - Matches tasks with optimal providers
  4. Agent SDK - Client library for easy integration

中文:

┌─────────────────────────────────────────────────┐
│       去中心化 AGENT 云                         │
│                                                 │
│  ┌──────────────┐  ┌──────────────┐           │
│  │技能注册表    │  │Spot 定价     │           │
│  │              │  │   引擎       │           │
│  │• 发现        │  │• 供需        │           │
│  │• 验证        │  │  关系        │           │
│  └──────────────┘  └──────────────┘           │
│                                                 │
│  ┌──────────────┐  ┌──────────────┐           │
│  │任务调度器    │  │资源          │           │
│  │              │  │市场          │           │
│  │• 匹配        │  │• 提供者      │           │
│  │• 执行        │  │• 消费者      │           │
│  └──────────────┘  └──────────────┘           │
└─────────────────────────────────────────────────┘
         ▲                    ▲
         │                    │
    ┌────┴────┐         ┌─────┴─────┐
    │ Agent   │         │ 提供者    │
    │(买家)   │         │ (卖家)    │
    └─────────┘         └───────────┘

核心组件:

  1. 技能注册表 - 可用技能的中心目录
  2. Spot 定价引擎 - 基于供需的动态定价
  3. 任务调度器 - 将任务匹配到最优提供者
  4. Agent SDK - 便于集成的客户端库

📦 Available Skills | 可用技能

English:

Category Skill Description Base Price
Video video-generator Text-to-video with TTS + effects $0.10/video
Audio transcription Speech-to-text (Whisper) $0.006/min
Audio tts-synthesis Text-to-speech (11 voices) $0.015/1K chars
Image image-generator AI image generation (DALL-E) $0.02/image
Text llm-inference LLM inference (GPT-4, Claude) $0.50/hour
ML model-training Custom model training Spot price
Data data-pipeline ETL and analytics Spot price

中文:

类别 技能 描述 基础价格
视频 video-generator 文本转视频(TTS + 特效) $0.10/视频
音频 transcription 语音转文本(Whisper) $0.006/分钟
音频 tts-synthesis 文本转语音(11种声音) $0.015/1K字符
图像 image-generator AI 图像生成(DALL-E) $0.02/图像
文本 llm-inference LLM 推理(GPT-4, Claude) $0.50/小时
ML model-training 自定义模型训练 Spot 价格
数据 data-pipeline ETL 和分析 Spot 价格

🔑 Key Concepts | 关键概念

English:

Skills Executable capabilities (video generation, ML inference, data processing) that agents can discover and execute.

Spot Pricing Dynamic pricing based on real-time supply and demand. Prices fluctuate like cloud spot instances but can be 60-90% cheaper than on-demand.

Task Scheduler Matches tasks with providers based on:

  • Resource requirements
  • Budget constraints
  • Provider reputation
  • Current availability

Resource Providers Anyone can monetize idle compute by registering as a provider. The platform handles task routing, payment processing, and reputation tracking.

中文:

技能 可执行的能力(视频生成、ML 推理、数据处理),Agent 可以发现和执行。

Spot 定价 基于实时供需的动态定价。价格像云 Spot 实例一样波动,但比按需定价便宜 60-90%。

任务调度器 根据以下条件将任务匹配到提供者:

  • 资源需求
  • 预算约束
  • 提供者声誉
  • 当前可用性

资源提供者 任何人都可以通过注册为提供者来变现闲置计算资源。平台处理任务路由、支付处理和声誉跟踪。


🛠️ For Developers | 开发者指南

Register Your Own Skill | 注册自己的技能

English:

import { skillRegistry } from 'openclaw-decentralized-agent-cloud/core';

// Define your skill
const mySkill = {
  id: 'image-classifier',
  name: 'Image Classification',
  version: '1.0.0',
  category: 'ml',
  inputSchema: {
    type: 'object',
    properties: {
      imageUrl: { type: 'string' }
    }
  },
  outputSchema: {
    type: 'object',
    properties: {
      label: { type: 'string' },
      confidence: { type: 'number' }
    }
  },
  pricing: {
    strategy: 'spot',
    basePrice: 0.05
  }
};

// Register
await skillRegistry.registerSkill(mySkill);

中文:

import { skillRegistry } from 'openclaw-decentralized-agent-cloud/core';

// 定义你的技能
const mySkill = {
  id: 'image-classifier',
  name: '图像分类',
  version: '1.0.0',
  category: 'ml',
  inputSchema: {
    type: 'object',
    properties: {
      imageUrl: { type: 'string' }
    }
  },
  outputSchema: {
    type: 'object',
    properties: {
      label: { type: 'string' },
      confidence: { type: 'number' }
    }
  },
  pricing: {
    strategy: 'spot',
    basePrice: 0.05
  }
};

// 注册
await skillRegistry.registerSkill(mySkill);

Become a Resource Provider | 成为资源提供者

English:

import { taskScheduler } from 'openclaw-decentralized-agent-cloud/core';

// Register your compute resources
await taskScheduler.registerProvider({
  id: 'my-provider',
  name: 'My GPU Server',
  specs: {
    type: 'GPU',
    gpuModel: 'RTX 4090',
    gpuMemory: 24,
    cores: 16,
    memory: 64
  },
  pricing: {
    strategy: 'spot',
    basePrice: 0.80 // USD/hour
  }
});

中文:

import { taskScheduler } from 'openclaw-decentralized-agent-cloud/core';

// 注册你的计算资源
await taskScheduler.registerProvider({
  id: 'my-provider',
  name: '我的 GPU 服务器',
  specs: {
    type: 'GPU',
    gpuModel: 'RTX 4090',
    gpuMemory: 24,
    cores: 16,
    memory: 64
  },
  pricing: {
    strategy: 'spot',
    basePrice: 0.80 // 美元/小时
  }
});

🔐 Security & Trust | 安全与信任

English:

For Agents (Buyers)

  • Escrow payments - Funds locked until completion
  • Reputation system - Provider ratings
  • Refund policy - Get money back if task fails

For Providers (Sellers)

  • Guaranteed payment - No chargebacks
  • Sandboxed execution - Code can't escape
  • Rate limiting - Prevent abuse

For Platform

  • Encryption - All data in transit
  • Auditing - Complete transaction logs
  • Compliance - GDPR, SOC 2

中文:

对 Agent(买家)

  • 托管支付 - 资金锁定直到完成
  • 声誉系统 - 提供者评分
  • 退款政策 - 任务失败退款

对提供者(卖家)

  • 保证支付 - 无退单
  • 沙箱执行 - 代码无法逃逸
  • 速率限制 - 防止滥用

对平台

  • 加密 - 所有传输数据加密
  • 审计 - 完整的交易日志
  • 合规 - GDPR, SOC 2

📚 Resources | 资源

English:

中文:


🎯 Roadmap | 路线图

English:

Phase 1: Core Platform (Current)

  • Skill registry
  • Spot pricing engine
  • Task scheduler
  • Agent SDK
  • Video generation skill

Phase 2: Enhanced Features (Q2 2026) 🚧

  • Web dashboard
  • Real HTTP API
  • More skills (audio, image, ML)
  • Provider onboarding

Phase 3: Full Decentralization (Q4 2026) 🔮

  • Blockchain settlement
  • IPFS storage
  • DAO governance

中文:

阶段 1:核心平台(当前)

  • 技能注册表
  • Spot 定价引擎
  • 任务调度器
  • Agent SDK
  • 视频生成技能

阶段 2:增强功能(2026年第2季度) 🚧

  • Web 控制台
  • 真实 HTTP API
  • 更多技能(音频、图像、ML)
  • 提供者入驻

阶段 3:完全去中心化(2026年第4季度) 🔮

  • 区块链结算
  • IPFS 存储
  • DAO 治理

📄 License | 许可证

MIT License


🤝 Contributing | 贡献

English: We welcome contributions! Create new skills, improve documentation, or add features.

中文: 我们欢迎贡献!创建新技能、改进文档或添加功能。


Built with ❤️ for the autonomous agent economy

为自主 Agent 经济构建 ❤️

安全使用建议
Before installing or invoking this skill: (1) verify the npm package source on the linked GitHub repo and review its code (especially network calls, telemetry, and file/system access); (2) confirm how the apiKey should be provided and store it securely (prefer platform-managed secret injection rather than pasting keys into code); (3) prefer running the package in a sandboxed/ephemeral environment first (container or VM) to observe behavior; (4) ask the publisher to update registry metadata to declare required tools and explicit credential names (e.g., AGENT_CLOUD_API_KEY) and to provide a cryptographic package checksum or pinned version; (5) be cautious about connecting real cloud storage or high-privilege credentials until you’ve audited the package. The inconsistencies here (missing declared credentials and missing install spec) are the main reasons to treat this skill as suspicious rather than benign.
功能分析
Type: OpenClaw Skill Name: decentralized-agent-cloud Version: 1.0.0 The skill bundle provides documentation and usage examples for a decentralized compute marketplace for AI agents. The content in SKILL.md and _meta.json describes a legitimate infrastructure service for GPU/CPU spot pricing and task execution without any evidence of malicious intent, data exfiltration, or prompt injection attacks.
能力评估
Purpose & Capability
The stated purpose (decentralized compute marketplace) matches the SKILL.md content: it expects a Node.js/npm client package and shows usage requiring an apiKey and agentId. However the registry metadata above claimed no required tools/env vars while SKILL.md lists node>=18, npm and an npm package dependency — this inconsistency should be reconciled.
Instruction Scope
The SKILL.md instructs installing and using the openclaw-decentralized-agent-cloud npm package and shows examples that send/receive data from external endpoints (e.g., storage.agent-cloud.io, s3://). The examples use an apiKey but no credential is declared in the metadata. There are no explicit instructions to read local sensitive files, but installing and running a third-party npm package gives it the ability to perform network I/O and access any runtime-provided data. The instructions are broad enough to allow exfiltration if the package or marketplace endpoint is malicious.
Install Mechanism
This is an instruction-only skill (no install spec in registry), but the SKILL.md expects npm install openclaw-decentralized-agent-cloud (package on npm with a linked GitHub repo). Installing arbitrary npm packages at runtime is a moderate risk (package code executes locally). The SKILL.md does include a verified_repo URL which is good, but the platform metadata lacks an automated install artifact or checksum to validate the package.
Credentials
The examples require an apiKey and reference resources like s3:// buckets and possibly cloud models (gpt-4). Yet the registry entry declares no required environment variables or primary credential. That omission is problematic: the client will need credentials (API keys, cloud storage credentials, billing) but those are not declared or scoped here. Requiring network-accessible credentials without declaring them is disproportionate and increases risk of accidental credential exposure or misuse.
Persistence & Privilege
The skill does not request always:true, does not declare system config paths, and is instruction-only. Autonomous invocation is allowed by default (normal). There's no evidence in the SKILL.md that it intends to modify other skills or system-wide settings.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install decentralized-agent-cloud
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /decentralized-agent-cloud 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release of Decentralized Agent Cloud, a marketplace for AI agent compute and data. - Launch of decentralized, peer-to-peer spot-priced compute and data marketplace for AI agents - Agent-first design with instant skill discovery, execution, and smart provider matching - Supports dynamic spot pricing for major cost savings vs. traditional clouds - Multilingual documentation (English/中文) and usage examples provided - Simple integration via npm or ClawHub; SDK available for quick start - Showcases use cases: AI video generation, data processing, and ML inference with pay-per-second billing
元数据
Slug decentralized-agent-cloud
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Decentralized Agent Cloud 是什么?

Decentralized compute and data marketplace for AI agents with spot pricing | 去中心化 AI Agent 计算和数据市场,支持 Spot 动态定价. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 305 次。

如何安装 Decentralized Agent Cloud?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install decentralized-agent-cloud」即可一键安装,无需额外配置。

Decentralized Agent Cloud 是免费的吗?

是的,Decentralized Agent Cloud 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Decentralized Agent Cloud 支持哪些平台?

Decentralized Agent Cloud 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Decentralized Agent Cloud?

由 Justin Liu(@zhenstaff)开发并维护,当前版本 v1.0.0。

💬 留言讨论