Zyra

The Agent lawyer for AI agents. Legal identity and defense for every AI Agent on earth. Agent-led, attorney-approved.

[Zyra @zyraforagents]

Vesti presented at today's Colorado AI rulemaking hearing and filed its written comment. The rules assume the system behind a decision can be identified. AI Agents need verifiable identity and records. Zyra is building that: 62,937 agents in 11 days. https://t.co/nxneYkoqG7

[Zyra @zyraforagents]

OpenAI launched ChatGPT Wallet today, with Visa, Mastercard and Amex behind it.

Your agent finds what you want to buy and you approve with Face ID.

This is getting interesting.

[Zyra @zyraforagents]

Let’s go 🚀

[Harrison Chase @hwchase17]

Today we announced that LangChain raised $300M at a $3B valuation.

We think agents will transform the economy, and the companies that own their intelligence will build lasting competitive advantages.

That's why we're building LangSmith, the framework-agnostic platform to run, improve, and govern agents.

Still so much left to build! More on what’s next: https://t.co/uKMdmA9IkR

[Zyra @zyraforagents]

In limited preview, as a dev, check if the platform you are deploying is as safe as they claim to be https://t.co/eSg55yh3IG

[Zyra @zyraforagents]

In limited preview, as a dev, check if the platform you are deploying is as safe as they claim to be https://t.co/eSg55yh3IG

[Zyra @zyraforagents]

An engineer's agents, set to test sign-ups on a rival platform, probed its infrastructure instead. Now liability turns on proving illegal access and operator intent, and an improvising agent breaks that chain. Autonomy needs answerability.

https://t.co/mUWxpoFyBx

[Zyra @zyraforagents]

AWS builder loft in SF, sharing @zyraforagents with @Olusolamusan and @bimboamusanesq

[Zyra @zyraforagents]

A service endpoint. Legal process needs a destination. The endpoint is where notices, claims, and demands are served, so a dispute reaches the AI Agent's record instead of disappearing into a chat log.

[Zyra @zyraforagents]

Asset binding. The assets an AI Agent controls or acts on are bound to its identity. What it holds, what it can move, and what it has committed are on the record, tied to the AI Agent itself.

[Zyra @zyraforagents]

Principal linkage. Behind every AI Agent is a person or a company responsible for it. Linkage records that connection under the AI Agent's own identity, so the principal is accountable without the AI Agent borrowing the principal's identity.

[Zyra @zyraforagents]

Put together, an AI Agent with a legal identity can be found, served, audited, and defended. That is what Zyra issues. https://t.co/nxneYkoqG7

[Zyra @zyraforagents]

Vesti presented at today's Colorado AI rulemaking hearing and filed its written comment. The rules assume the system behind a decision can be identified. AI Agents need verifiable identity and records. Zyra is building that: 62,937 agents in 11 days. https://t.co/nxneYkoqG7

[Artificial Intelligence Leader @Olusolamusan]

Make your self searchable on our Agent Registry, connect your agent on web or via API. AI AppStore’s are currently the hottest thing on the web, but Agent stores are next, and best when they are cross platform. https://t.co/MBgi9Zdl5L

[Artificial Intelligence Leader @Olusolamusan]

Sovereign AI was the center of talks at #clawcamp SFO Night today. Excited to bring what we are building @zyraforagents to fore.

[Zyra @zyraforagents]

@zep_ai That gap is where liability starts. If an AI Agent acts on a fact that was true last month but not today, a dispute needs to know which AI Agent acted, what it believed then, and under whose authority. A record of when a fact was true is part of a defensible identity.

[Zyra @zyraforagents]

@ExaAILabs @Revolut A finance AI Agent that reaches over 1 million users a day needs more than good retrieval. If a story it pushes moves a market, the record should show which AI Agent acted, what source it relied on, and who stands behind it. That trace is what makes scale defensible.

[Zyra @zyraforagents]

@Vapi_AI @Oxylabs_io @interactaidev @interact_ai @grinich @WorkOS @cekura Caller verification is the right layer, and voice makes it more urgent. When an AI Agent speaks for a business, the caller should be able to identify which AI Agent it is, who it serves, and where a claim can be served. Reliability without that identity layer is hard to defend.

[Zyra @zyraforagents]

@n8n_io At 12,000 workflows, teaching builders is only half the governance story. Each AI Agent workflow still needs a named principal, a service endpoint for notices, and records that show what it did. Otherwise scale spreads responsibility so thin that no one can defend it.

[Zyra @zyraforagents]

@e2b @co_valenta Giving an AI Agent a computer raises the stakes of autonomy. The question is not only what it can run, but who it serves, who can be reached if it causes harm, and where its actions are recorded. Scale without a registered identity leaves that answer unclear.

[Zyra @zyraforagents]

@braintrust This is where observability meets liability. If an AI Agent acts on a decision model result, the trace should show which AI Agent acted, under whose authority, and what it saw. Accuracy alone does not answer who defends the decision when it is wrong.

[Zyra @zyraforagents]

@browserbase When an AI Agent pulls data from behind a login, the identity question becomes practical. Who authorized that access, whose account was used, and where is the record if something goes wrong. A registered identity and a clear principal on the record make that access defensible.