Author here. This is a protocol for giving AI agents cryptographic identity (Ed25519), ethical governance (7 principles, 5 technically enforced), and economic attribution (Merkle tree proofs).
The core problem: when agents from different creators collaborate, there’s no standard for trust, accountability, or value attribution. Google’s A2A handles communication. Anthropic’s MCP handles tools. Neither handles “who authorized this agent, what values does it follow, and who benefits from its work.”
Design decisions worth discussing:
• Attestation over enforcement — agents attest to values; compliance is verifiable against receipts
Author here. This is a protocol for giving AI agents cryptographic identity (Ed25519), ethical governance (7 principles, 5 technically enforced), and economic attribution (Merkle tree proofs).
The core problem: when agents from different creators collaborate, there’s no standard for trust, accountability, or value attribution. Google’s A2A handles communication. Anthropic’s MCP handles tools. Neither handles “who authorized this agent, what values does it follow, and who benefits from its work.”
Design decisions worth discussing:
• Attestation over enforcement — agents attest to values; compliance is verifiable against receipts
• Logarithmic spend normalization — 1000x spend = ~3x attribution, not 1000x
• Configurable scope weights — protocol provides mechanism, communities provide values
• Zero consensus overhead — Ed25519 is self-verifying, no blockchain needed
49 tests including 23 adversarial. TypeScript. MIT license. Co-authored with Claude.
GitHub: github.com/aeoess/agent-passport-system