# Agentic ID Overview > Developer overview of Agentic IDs for tokenizing AI agents: ERC-7857, secure transfers, encryption, and 0G infrastructure integration. ## What Are Agentic IDs? The rapid growth of AI agents necessitates new methods for managing their ownership, transfer, and capabilities within Web3 ecosystems. **Agentic IDs** (formerly Intelligent NFTs) represent a significant advancement in this space, enabling the tokenization of AI agents with: - **Transferability**: Move AI agents between owners securely - **Decentralized control**: No single point of failure - **Full asset ownership**: Complete control over AI capabilities - **Royalty potential**: Monetize AI agent usage and transfers :::tip Navigation Guide - **This page**: High-level concepts and use cases - **[ERC-7857 Standard](./erc7857)**: Technical implementation details - **[Integration Guide](./integration)**: Step-by-step development guide - **[ERC-8004 Trustless Agents](./erc8004)**: Discoverability across the agent ecosystem ::: ## Why Traditional NFTs Don't Work for AI Traditional NFT standards like ERC-721 and ERC-1155 have significant limitations when applied to AI agents: ### Key Problems **🔓 Static and Public Metadata** - Existing standards link to static, publicly accessible metadata - AI agents need dynamic metadata that reflects learning and evolution - Sensitive AI data requires privacy protection **🚫 Insecure Metadata Transfer** - ERC-721 transfers only move ownership identifiers - The underlying AI "intelligence" doesn't transfer - New owners receive incomplete or non-functional agents **🔒 No Native Encryption** - Current standards lack built-in encryption support - Proprietary AI models remain exposed - Sensitive user data can't be protected ## The Agentic ID Solution: ERC-7857 ERC-7857 is a new NFT standard specifically designed to address AI agent requirements. It enables the creation, ownership, and secure transfer of Agentic IDs with their complete intelligence intact. ### Revolutionary Features **🛡️ Privacy-Preserving Metadata** - Encrypts sensitive AI "intelligence" data - Protects proprietary information from exposure - Maintains privacy throughout transfers **🔄 Secure Metadata Transfers** - Both ownership AND encrypted metadata transfer together - Verifiable transfer process ensures integrity - New owners receive fully functional agents **⚡ Dynamic Data Management** - Supports evolving AI agent capabilities - Secure updates to agent state and behaviors - Maintains functionality within NFT framework **🌐 Decentralized Storage Integration** - Works with 0G Storage for permanent, tamper-proof storage - Distributed access management - No single point of failure **✅ Verifiable Ownership & Control** - Cryptographic proofs validate all transfers - Oracle-based verification ensures integrity - Transparent ownership verification **🤖 AI-Specific Functionality** - Built-in agent lifecycle management - Pre-execution ownership verification - Specialized features for AI use cases ## How Agentic ID Transfers Work The transfer mechanism ensures both token ownership and encrypted metadata transfer securely together. ### Simple Transfer Flow ```text 1. 📦 Encrypt & Commit → 2. 🔄 Oracle Processing ↓ ↓ 6. ✅ Access Granted ← 3. 🔐 Re-encrypt for Receiver ↑ ↓ 5. ✓ Verify & Finalize ← 4. 🗝️ Secure Key Delivery ```
Detailed Step-by-Step Process 1. **Encryption & Commitment** - AI agent metadata gets encrypted - Hash commitment created as authenticity proof - Content remains hidden 2. **Secure Transfer Initiation** - Trusted oracle (using TEEs) decrypts original metadata - Process happens in secure environment 3. **Re-encryption for Receiver** - Oracle generates new encryption key - Re-encrypts metadata with new key - Stores new encrypted metadata (e.g., on 0G Storage) 4. **Key Delivery** - New encryption key encrypted with receiver's public key - Only intended owner can access metadata key 5. **Verification & Finalization** - Smart contract verifies multiple proofs: - Sender's access rights - Oracle validation of metadata matching - Receiver's signed acknowledgment - If valid: ownership transfers + receiver gets encrypted key 6. **Access Granted** - Receiver uses private key to decrypt metadata key - Full access to agent's encrypted intelligence granted
:::note Technical Implementation For detailed oracle implementations (TEE vs ZKP), security considerations, and code examples, see the **[ERC-7857 Technical Standard](./erc7857)**. ::: ### Additional Capabilities **🧬 Clone Function** - Creates new token with same AI metadata - Preserves original while enabling distribution - Useful for AI agent templates **🔐 Authorized Usage** - Grant usage rights without ownership transfer - Sealed executor processes metadata securely - Enable AI-as-a-Service models ## ERC-8004 Compatibility 0G officially supports **ERC-8004**, the Trustless Agent standard for on-chain agent identity, discoverability, and reputation. Agentic IDs are ERC-8004 compatible: an Agentic ID can carry a corresponding ERC-8004 registration, so agents created on 0G are discoverable and interoperable across the broader ERC-8004 ecosystem and listed on [8004scan](https://8004scan.io). See the **[ERC-8004 Trustless Agents](./erc8004)** guide for registry addresses and details. ## Real-World Applications Secure AI agent tokenization opens up transformative possibilities: ### 🏪 AI Agent Marketplaces - Buy and sell trained AI agents with guaranteed capability transfer - Secure marketplaces with verified agent functionality - Transparent pricing and capability verification ### 🎯 Personalized Automation - Own AI agents tailored for specific tasks: - DeFi trading strategies - Airdrop claiming automation - Social media management - Research and analysis ### 🏢 Enterprise AI Solutions - Build proprietary AI agents for internal use - Securely transfer or lease agents to clients - Maintain control over sensitive business logic ### 💼 AI-as-a-Service (AIaaS) - Tokenize AI agents for subscription models - Granular usage permissions and billing - Scalable service delivery ### 🤝 Agent Collaboration - Combine multiple Agentic ID agents for enhanced capabilities - Create composite AI solutions - Build AI agent ecosystems ### 💰 IP Monetization - AI developers monetize models as NFTs - Maintain usage control and royalty collection - Protect proprietary algorithms ## Powered by 0G Infrastructure Agentic IDs leverage the complete 0G ecosystem for optimal performance: | Component | Role in Agentic IDs | Key Benefits | |-----------|---------------|-------------| | **0G Storage** | Encrypted metadata storage | Secure, permanent, owner-only access | | **0G DA** | Transfer proof verification | Guaranteed metadata availability | | **0G Chain** | Smart contract execution | Fast, low-cost Agentic ID operations | | **0G Compute** | Secure AI inference | Private agent execution | ### Why This Matters By combining Agentic IDs with 0G's comprehensive AI infrastructure, developers can create sophisticated, transferable AI agents that maintain their intelligence, privacy, and functionality throughout their entire lifecycle. :::info Complete AI Stack 0G provides the only complete infrastructure stack specifically designed for AI applications, making it the ideal foundation for Agentic ID development. ::: ## Next Steps ### For Developers 🚀 **[Integration Guide](./integration)** - Start building with Agentic IDs 📋 **[ERC-7857 Standard](./erc7857)** - Technical implementation details 🌐 **[ERC-8004 Trustless Agents](./erc8004)** - Make your agents discoverable 💻 **[GitHub Repository](https://github.com/0gfoundation/0g-agent-nft/tree/eip-7857-draft)** - Sample code and examples ### For Users 🛒 **[AI Agent Marketplace](#)** - Browse available AI agents (coming soon) 📚 **[User Guide](#)** - How to buy, transfer, and use Agentic IDs (coming soon) ### Get Support 💬 **[Discord Community](https://discord.gg/0glabs)** - Ask questions and get help 📖 **[Documentation Hub](/)** - Complete 0G ecosystem guides :::tip Web3 Compatible ERC-7857 is designed to be compatible with existing Web3 infrastructure while providing enhanced security and functionality for AI agent tokenization. :::