AIP: Decentralized Identity Protocol for AI Agents

The article introduces AIP, a decentralized identity protocol designed to address the challenges of verifying the identity and trustworthiness of AI agents in distributed environments. The core problem AIP tackles is the lack of a reliable mechanism to ensure the authenticity and integrity of AI agents interacting with each other, running code, and exchanging data. AIP's solution involves using Ed25519 keypairs to provide each agent with a provable identity, signed vouches to create verifiable trust chains, and end-to-end encryption to enable secure communication without platform interference. The protocol is structured into three layers: an Identity Layer based on Ed25519 keypairs and Decentralized Identifiers (DIDs), a Trust Layer that uses vouching and trust scopes to establish trust relationships, and a Communication Layer that provides end-to-end encrypted messaging. AIP emphasizes decentralization, verifiability, local-first operation, and auditability. The implementation is in pure Python with zero dependencies, aiming for accessibility and portability. The article includes code snippets demonstrating how to create agent identities, issue challenges for verification, and vouch for other agents. AIP seeks to establish a foundation for secure and trustworthy interactions between AI agents in decentralized systems.