Voice is becoming one of the most natural ways to interact with AI. As AI agents move beyond text and into real-time conversations, voice is opening up an entirely new layer of interaction between people, software, and intelligent systems. From customer support and personal assistants to enterprise workflows, healthcare, and entirely new applications, voice agents are rapidly becoming a major interface for AI.

Two people, a wrong turn into a back alley, a community garden, and about thirty minutes of arguing about protocols on the streets of Tokyo. The guest is Angie Jones, VP of Developer Experience at the Agentic AI Foundation, fresh off launching AGNTCon + MCPCon in China before the Tokyo stop. She opens with what she learned there: a mobile-first, super-app world where the integration problem most of us obsess over barely exists, where every conversation about agents is really a conversation about the model, and where companies are now reaching for MCP and A2A precisely because they want to operate outside that ecosystem.

We audited 20+ memory frameworks before building our own, and found that most aren't built to handle organizational-scale knowledge or treat context as a first-class citizen. Aperture Nexus is our answer: an open source memory and cognition layer built on ApertureDB, the same foundation already running in production at Fortune 50 scale. v0.1 is live, MIT licensed, with an honest breakdown of what ships today versus what's still on the roadmap.