AgentMint

AI governance at scale requires a standard evidence primitive. One that doesn't depend on vendor access to verify. Without it, buyers dig into vendor stacks, observability becomes audit justification, and governance stays artisanal regardless of how many agents you deploy. AgentMint is that primitive. Every agent action and model decision is signed at runtime with customer-held keys, hash-chained, and verifiable by any outside party using our open-source verifier. Open spec: github.com/aerf-s[1][2]

Visit website Suggest an update

Overview

AgentMint is a software development company[3] listed in the New York City AI scene[1] focused on agents[1]. The company addresses AI governance at scale through what it describes as a standard evidence primitive that does not depend on vendor access to verify[2]. According to the company, without such a primitive, buyers must examine vendor stacks and observability becomes audit justification, while governance remains artisanal regardless of agent deployment scale[2]. AgentMint's approach involves signing every agent action and model decision at runtime using customer-held keys, hash-chaining them, and making them verifiable by outside parties through an open-source verifier[2]. The company maintains an open specification available on GitHub[2].

Something wrong or missing? Send an update. Fixed within 24 hours.