{"skill":{"slug":"private-computation","displayName":"private computation","summary":"Zero-Knowledge Execution for Sensitive Agent Tasks - Privacy computing framework for AI Agents","description":"---\nname: private-computation\ndisplay_name: OpenClaw Private Computation\nversion: 0.1.0\nauthor: ZhenStaff\ncategory: privacy\nsubcategory: security\nlicense: MIT-0\ndescription: Zero-Knowledge Execution for Sensitive Agent Tasks - Privacy computing framework for AI Agents\ntags: [privacy, private-computation, zero-knowledge, ai-agent, security, encryption, hipaa, gdpr, compliance, typescript]\nrepository: https://github.com/ZhenRobotics/openclaw-private-computation\nhomepage: https://github.com/ZhenRobotics/openclaw-private-computation\ndocumentation: https://github.com/ZhenRobotics/openclaw-private-computation#readme\n---\n\n# OpenClaw Private Computation\n\n**Zero-Knowledge Execution for Sensitive Agent Tasks**\n**AI Agent 敏感任务的零知识执行框架**\n\nA privacy-first computation framework for AI Agents that need to process sensitive data securely. Built with TypeScript for the Node.js ecosystem.\n\n为需要安全处理敏感数据的 AI Agent 打造的隐私优先计算框架。使用 TypeScript 为 Node.js 生态系统构建。\n\n---\n\n## ✨ Features / 功能特性\n\n- 🔐 **Encrypted Credential Storage** / **加密凭证存储**\n  - AES-256-GCM encryption for API keys and secrets\n  - API 密钥和敏感信息的 AES-256-GCM 加密\n\n- 🛡️ **Secure Task Execution** / **安全任务执行**\n  - Isolated execution environment for sensitive operations\n  - 敏感操作的隔离执行环境\n\n- 📝 **Immutable Audit Trail** / **不可篡改审计日志**\n  - Blockchain-style audit logs for compliance\n  - 区块链式审计日志，满足合规要求\n\n- 🎯 **Multiple Security Levels** / **多层安全级别**\n  - Basic, Standard (TEE), and Strict (Zero-Knowledge)\n  - 基础、标准（TEE）、严格（零知识证明）\n\n- ✅ **GDPR & HIPAA Compliant** / **GDPR 和 HIPAA 合规**\n  - Designed for regulatory compliance\n  - 专为满足监管合规要求而设计\n\n---\n\n## 📦 Installation / 安装\n\n### Via npm\n\n```bash\nnpm install openclaw-private-computation\n```\n\n### Via ClawHub\n\n```bash\nclawhub install private-computation\n```\n\n---\n\n## 🚀 Quick Start / 快速开始\n\n```typescript\nimport { PrivateAgent } from 'openclaw-private-computation';\n\n// Initialize agent / 初始化 Agent\nconst agent = new PrivateAgent({\n  securityLevel: 'basic',  // basic | standard | strict\n  audit: true              // 启用审计日志\n});\n\n// Store credentials securely / 安全存储凭证\nawait agent.setSecret('OPENAI_API_KEY', 'sk-...');\n\n// Execute sensitive tasks / 执行敏感任务\nconst result = await agent.executeTask(async () => {\n  const apiKey = await agent.getSecret('OPENAI_API_KEY');\n  return await callAPI(apiKey);\n}, {\n  audit: true,\n  metadata: { taskType: 'api_call' }\n});\n\nconsole.log(result);\n// { status: 'success', data: {...}, auditId: '...', executionTime: 123 }\n```\n\n---\n\n## 🎯 Use Cases / 使用场景\n\n### 1. Medical AI (HIPAA) / 医疗 AI（HIPAA 合规）\n\n```typescript\nconst diagnosis = await agent.executeTask(async () => {\n  const key = await agent.getSecret('MEDICAL_API_KEY');\n  return await analyzeMedicalData(patientData, key);\n}, {\n  audit: true,\n  metadata: { complianceLevel: 'HIPAA' }\n});\n```\n\n### 2. Financial Services (PCI-DSS) / 金融服务（PCI-DSS 合规）\n\n```typescript\nconst transaction = await agent.executeTask(async () => {\n  const bankKey = await agent.getSecret('BANK_API_KEY');\n  return await processPayment(amount, bankKey);\n}, {\n  audit: true,\n  timeout: 30000\n});\n```\n\n### 3. AI Agent with Private Context / 带私有上下文的 AI Agent\n\n```typescript\nconst response = await agent.executeTask(async () => {\n  const llmKey = await agent.getSecret('LLM_API_KEY');\n  // Private context never exposed / 私有上下文永不暴露\n  return await generateAI(userQuery, privateContext, llmKey);\n}, {\n  audit: true\n});\n```\n\n---\n\n## 🔧 API Reference / API 文档\n\n### Configuration / 配置\n\n```typescript\nconst agent = new PrivateAgent({\n  securityLevel: 'basic' | 'standard' | 'strict',\n  encryption: 'aes-256-gcm' | 'chacha20-poly1305',\n  audit: boolean,\n  storagePath: string,  // Default: ~/.openclaw\n  masterKey: string     // Auto-generated if not provided / 未提供时自动生成\n});\n```\n\n### Security Levels / 安全级别\n\n| Level / 级别 | Features / 功能 | Overhead / 开销 | Use Case / 适用场景 |\n|--------------|----------------|-----------------|-------------------|\n| **Basic / 基础** | Encrypted storage / 加密存储 | ~0% | Development / 开发测试 |\n| **Standard / 标准** | + TEE isolation / + TEE 隔离 | ~10% | Production / 生产环境 |\n| **Strict / 严格** | + Zero-knowledge proofs / + 零知识证明 | ~300% | High-security / 高度敏感 |\n\n### Credential Management / 凭证管理\n\n```typescript\n// Store a secret / 存储密钥\nawait agent.setSecret('KEY_NAME', 'secret-value');\n\n// Retrieve a secret / 获取密钥\nconst value = await agent.getSecret('KEY_NAME');\n\n// List all secrets / 列出所有密钥（仅键名）\nconst keys = agent.listSecrets();\n\n// Delete a secret / 删除密钥\nawait agent.deleteSecret('KEY_NAME');\n```\n\n### Task Execution / 任务执行\n\n```typescript\nconst result = await agent.executeTask(async () => {\n  // Your task logic / 你的任务逻辑\n  return someData;\n}, {\n  audit: true,           // Enable audit logging / 启用审计日志\n  proof: true,           // Generate ZK proof / 生成零知识证明 (strict mode)\n  timeout: 30000,        // Timeout in ms / 超时时间（毫秒）\n  metadata: {...}        // Custom metadata / 自定义元数据\n});\n```\n\n### Audit & Compliance / 审计与合规\n\n```typescript\n// Get audit logs / 获取审计日志\nconst logs = agent.getAuditLogs(10);\n\n// Verify integrity / 验证完整性\nconst integrity = agent.verifyAuditIntegrity();\n// { valid: true }\n\n// Get statistics / 获取统计信息\nconst stats = agent.getAuditStatistics();\n// { totalLogs: 42, byAction: {...}, byResult: {...} }\n```\n\n---\n\n## 🏗️ Architecture / 架构\n\n```\nOpenClaw Private Computation\n│\n├── Core Layer / 核心层\n│   ├── Encryption Manager / 加密管理器 (AES-256-GCM)\n│   ├── Credential Vault / 凭证保险库\n│   ├── Audit Logger / 审计日志器 (Blockchain-style)\n│   └── Task Executor / 任务执行器\n│\n├── Crypto Layer (Future) / 加密层（未来）\n│   ├── zk-SNARKs (Zero-Knowledge Proofs) / 零知识证明\n│   ├── TEE (Trusted Execution Environment) / 可信执行环境\n│   └── Homomorphic Encryption / 同态加密\n│\n└── Integration Layer (Future) / 集成层（未来）\n    ├── LangChain Adapter\n    ├── Vercel AI SDK Adapter\n    └── Claude API Adapter\n```\n\n---\n\n## 🛣️ Roadmap / 路线图\n\n### Phase 1: MVP ✅ (Current / 当前)\n- [x] Encrypted credential storage / 加密凭证存储\n- [x] Basic audit logging / 基础审计日志\n- [x] Simple SDK API / 简洁的 SDK API\n- [x] Examples and documentation / 示例和文档\n\n### Phase 2: Zero-Knowledge (Next / 下一步)\n- [ ] zk-SNARKs integration / zk-SNARKs 集成\n- [ ] Proof generation and verification / 证明生成和验证\n- [ ] Circuit library / 电路库\n\n### Phase 3: TEE Integration / TEE 集成\n- [ ] Intel SGX support / Intel SGX 支持\n- [ ] ARM TrustZone support / ARM TrustZone 支持\n- [ ] Hybrid mode (TEE + zk) / 混合模式（TEE + 零知识）\n\n### Phase 4: Enterprise Features / 企业功能\n- [ ] AI framework integrations / AI 框架集成\n- [ ] Compliance reporting / 合规报告\n- [ ] Multi-party computation / 多方计算\n\n---\n\n## 🔬 Technology / 技术栈\n\n- **Language / 语言**: TypeScript\n- **Runtime / 运行时**: Node.js 18+\n- **Encryption / 加密**: Node.js Crypto (AES-256-GCM, ChaCha20-Poly1305)\n- **Zero-Knowledge / 零知识**: snarkjs (coming soon / 即将推出)\n- **TEE**: Intel SGX (planned / 规划中)\n- **Audit / 审计**: Blockchain-inspired immutable logs / 区块链式不可篡改日志\n\n---\n\n## 📚 Documentation / 文档\n\n- [GitHub Repository / 代码仓库](https://github.com/ZhenRobotics/openclaw-private-computation)\n- [Quick Start Guide / 快速开始指南](https://github.com/ZhenRobotics/openclaw-private-computation/blob/main/QUICKSTART.md)\n- [Full Documentation / 完整文档](https://github.com/ZhenRobotics/openclaw-private-computation#readme)\n- [Examples / 示例](https://github.com/ZhenRobotics/openclaw-private-computation/tree/main/examples)\n\n---\n\n## 🌟 Why Choose OpenClaw? / 为什么选择 OpenClaw？\n\n> **\"The first production-ready privacy computing framework for TypeScript\"**\n> **\"首个生产级 TypeScript 隐私计算框架\"**\n\nNo other TypeScript/JavaScript library provides:\n其他 TypeScript/JavaScript 库都不提供：\n\n- ✅ Zero-knowledge execution for AI agents / AI Agent 的零知识执行\n- ✅ HIPAA/GDPR-ready audit trails / HIPAA/GDPR 就绪的审计追踪\n- ✅ Simple API for complex cryptography / 复杂加密的简洁 API\n- ✅ Open source and extensible / 开源且可扩展\n\n---\n\n## 🤝 Contributing / 贡献\n\nWe welcome contributions! Please see our [GitHub repository](https://github.com/ZhenRobotics/openclaw-private-computation) for details.\n\n欢迎贡献！详情请查看我们的 [GitHub 仓库](https://github.com/ZhenRobotics/openclaw-private-computation)。\n\n---\n\n## 📄 License / 许可证\n\nMIT-0 License - Free and open source, no attribution required.\nMIT-0 许可证 - 免费开源，无需署名。\n\n---\n\n**Built for the AI Agent era. Secure by default. Private by design.**\n**为 AI Agent 时代而生。默认安全。隐私优先。** 🚀\n","tags":{"latest":"1.0.0"},"stats":{"comments":0,"downloads":703,"installsAllTime":0,"installsCurrent":0,"stars":0,"versions":1},"createdAt":1773398783920,"updatedAt":1779078058852},"latestVersion":{"version":"1.0.0","createdAt":1773398783920,"changelog":"Initial release of OpenClaw Private Computation.\n\n- Introduces a privacy-first computation framework for AI Agents, supporting zero-knowledge execution of sensitive tasks.\n- Features encrypted credential storage (AES-256-GCM), isolated/secure task execution, and immutable audit logs.\n- Supports multiple security levels, including basic, TEE isolation, and strict zero-knowledge modes.\n- Designed for GDPR and HIPAA compliance.\n- Provides a simple TypeScript/Node.js API for credential management, secure task execution, and audit logging.\n- Documentation, examples, and roadmap included.","license":"MIT-0"},"metadata":{"setup":[],"os":null,"systems":null},"owner":{"handle":"zhenstaff","userId":"s173q0k18pjbw86jqbmsmgkz7h83h3vm","displayName":"Justin Liu","image":"https://avatars.githubusercontent.com/u/34432727?v=4"},"moderation":{"isSuspicious":false,"isMalwareBlocked":false,"verdict":"clean","reasonCodes":["review.llm_review"],"summary":"Review: review.llm_review","engineVersion":"v2.4.24","updatedAt":1780089868945}}