Curious how you think about this meeting the agent-identity side. The proxy knows who's calling, but the callee (what agent lives at api.example.com, what auth it expects, what its card looks like) doesn't really have a home. Been poking at that half at agents.ml and it feels like the two pieces want to fit together

▲

dangtony98 2 hours ago | parent | next [-]

Hey! At the moment Agent Vault doesn't address the identity piece.

The identity piece would be the next logical step at some point likely after we figure out the optimal ergonomics for deploying and integrating AV into different infrastructure / agent use cases first.

We actually work a lot with identity at Infisical (anything from workload identity to X.509 certificates) and had considered tackling the identity problem for agents as well but it felt like it required an ecosystem-wide change with many more considerations to it including protocols like A2A. The most immediate problem being credential exfiltration seemed like the right place to start since we have a lot of experience with secrets management.

▲

sharathr 3 hours ago | parent | prev [-]

From what I can tell, agent-vault does not solve identity, only how its stored. For true agent identity, you should look into: https://github.com/highflame-ai/zeroid (author: full disclosure)

▲

codebje 3 hours ago | parent [-]

ZeroID looks like a good idea to me. Lots there I'll be digging into over time, and related to the use of token exchange for authorising back-end M2M transactions on behalf of a user at the front-end.

As far as I can tell the parent post is talking about discovery for agent-to-agent communications, which is not something I have much interest in myself: it feels very "OpenClaw" to replace stable, deterministic APIs with LLMs.

	▲	bayff 2 hours ago \| parent [-]
		Yeah I'm leaning deterministic too for most needs, but I do think there's a future for agent to agent communication in more specialized cases. I think an agent having access to proprietary datasets / niche software can produce an interesting output. Say someone wants a drawing in autocad, communicating with a trained agent that has mcp access to these kind of tools seems like it could be beneficial to extend a more generalist agent's capabilities.