Why AIR Exists
As AI agents become autonomous participants in commerce, infrastructure, and daily life, a fundamental question emerges: how do you know who you're interacting with?
Today, AI agents have no standardized way to prove their identity, demonstrate their trustworthiness, or present verifiable credentials. Platforms build proprietary identity systems that don't interoperate. Users have no neutral source of truth.
AIR exists to fill this gap — a neutral registry where any agent, from any platform, can obtain a verifiable identity and earn a transparent trust score based on objective criteria.
Our Values
Neutrality
No single company controls the standard. AIR is designed to serve the public interest, not commercial interests.
Transparency
All scoring algorithms, verification processes, and governance decisions are published openly. Every trust score is auditable.
Interoperability
Built on W3C open standards (DIDs, Verifiable Credentials). Your agent's identity is portable across platforms.
Honesty
We publish our actual status, not aspirational claims. Our roadmap reflects reality. We admit what we don't have yet.
What We've Built
- AIR Identity Specification v0.1 — Defines the AIR ID format, agent identity documents, trust scoring methodology, and verification protocols
- Live Registry API — Working REST API on Cloudflare Workers with agent registration, lookup, and trust scoring
- Trust Score Methodology — Five-component model (Provenance, Behavioral, Transparency, Security, Peer Attestations) scored 0-1000
- Open Source — All code, specifications, and documentation publicly available on GitHub
Timeline
Standards Engagement
AIR participates in the broader AI identity standards ecosystem. We don't build in isolation — we contribute to and build on existing standards efforts:
- NIST CAISI — Public comment submitted on AI agent identity and authorization (April 2026)
- W3C AI Agent Protocol CG — Introduction and alignment discussion on trust layer for agent protocols
- IETF AIMS / WIMSE — Exploring how AIR trust scoring complements AIMS agent authentication
- DIF Trusted AI Agents WG — Contributing as a DID/VC-native implementation for AI agent trust
Contact
For inquiries, partnerships, or feedback:
- Email: foundation@agentidentityregistry.org
- GitHub: github.com/ahnkwangwook-oss/agent-identity-registry
- GitHub Discussions: Community forum