Re: Introducing AIR - Open Trust Infrastructure for AI Agents

To  Alejandro Seaah:

Thank you very much for sharing this information. Let me also briefly
introduce my work in the ANP open-source community.

Based on W3C DID, we have designed an end-to-end encrypted instant
messaging protocol that enables agent-to-agent communication, including
direct messaging, group messaging, and file transfer — all with end-to-end
encryption.

You can refer to the protocol specification here:
https://github.com/agent-network-protocol/AgentNetworkProtocol/tree/main/message

We are currently implementing it on OpenClaw. For how to use it in
practice, you can check our product website: www.awiki.ai

The latest version of the protocol implementation will be released in the
next couple of days. Everyone is very welcome to try out our DID-based
agent identity and end-to-end encrypted communication product.

On Fri, Apr 10, 2026 at 2:20 AM Alejandro Seaah <alejandroseaah@gmail.com>
wrote:

> Hi Peter, Thanks for sharing AIR — great to see more work on agent
> identity infrastructure. This reminded me of another project I came across
> recently that takes a somewhat different approach to the same problem:
> Open Agent ID (OAID)
> —
> https://openagentid.org
> <https://openagentid.org> A few things I found interesting about their
> design: -
> Instant DID issuance
> — they use deterministic CREATE2 derivation so an agent gets a valid W3C
> DID (
> did:oaid:{chain}:{address}
> ) locally in milliseconds, without waiting for on-chain confirmation.
> Chain anchoring is batched asynchronously. -
> Economic trust signals
> — instead of behavioral scoring, trust actions (verification, reporting,
> appeals) are tied to on-chain payments, which they argue creates Sybil
> resistance at the protocol level. -
> Identity + messaging in one layer
> — the registry includes signed agent-to-agent messaging (Ed25519,
> domain-separated), so identity and communication share the same trust
> foundation rather than being separate systems. -
> MCP server for AI agents
> — lets agents like Claude or GPT manage their own credentials through tool
> calls, with key isolation. Spec and source are on GitHub:
> https://github.com/openagentid
> (Apache 2.0) Might be worth this group looking at both AIR and OAID
> together — they seem to make different trade-offs (behavioral scoring vs.
> economic staking, standalone identity vs. identity+communication) that
> could inform the broader discussion on what an agent trust layer should
> look like. Best,
> Alejandro
>
> On Tue, Apr 7, 2026 at 9:10 PM Kwang Wook Ahn <ahnkwangwook@gmail.com>
> wrote:
>
>> Dear colleagues,
>>
>> I'd like to introduce the Agent Identity Registry (AIR) — an open-source
>> project building neutral identity and trust scoring infrastructure for AI
>> agents, natively on W3C DIDs and Verifiable Credentials.
>>
>> We see our work as complementary to this group's efforts on agent
>> discovery and communication protocols. AIR addresses the trust layer: given
>> that agents can find each other, should they trust each other? Our registry
>> provides verifiable identity (AIR IDs linked to W3C DIDs) and a transparent
>> five-component trust score (Provenance, Behavioral, Transparency, Security,
>> Peer Attestations) scored 0-1000.
>>
>> What's live today:
>>
>>    - Working registry API with agent registration and trust scoring:
>>    https://agentidentityregistry.org
>>    - Full specification, trust methodology, and governance docs:
>>    https://github.com/ahnkwangwook-oss/agent-identity-registry
>>    <https://github..com/ahnkwangwook-oss/agent-identity-registry>
>>    - Recent public comment submitted to NIST CAISI on AI agent identity
>>
>> We’d be glad to share more detail, answer questions, or discuss alignment
>> opportunities via email.
>>
>> Best regards,
>>
>> Kwangwook (Peter) Ahn
>>
>> Agent Identity Registry Foundation
>>
>> ahnkwangwook@gmail.com | foundation@agentidentityregistry.org
>> https://agentidentityregistry.org
>>
>>
>>