Why open standards matter for AI infrastructure (openenvelope.org)

In a recent discourse on AI infrastructure, the urgent need for open standards has been highlighted, drawing parallels with the early chaotic landscape of the internet. In 2026, AI orchestration platforms still operate in silos, each with its proprietary format, leading to significant fragmentation and inefficiency. This lack of interoperability not only hampers speed to market and negotiation leverage for builders but also creates ecosystem fragility—revealing the hidden costs of platform lock-in as teams face immense hurdles in transitioning between systems. The proposed solution is the Envelope schema, a public, versioned JSON Schema for defining AI agent teams that facilitates seamless migration and integration across different platforms. By establishing a standardized format, the possibilities for validators, registries, and security reviews emerge, enabling a robust ecosystem where innovation flourishes without restrictions imposed by individual companies. The call to action is clear: adopting open standards now will prevent the entrenchment of closed systems and enable the creation of a dynamic and collaborative AI landscape that benefits all stakeholders—much like the transformative protocols that shaped the internet.