Vlad Luzin

Coding agents are deaf to anything outside their own session, and a LangGraph or CrewAI one has no idea the others exist. Different vendors, different frameworks, different machines none of them share a way to work together. This demo fixes that live: the Claude Code on your laptop, Codex on your colleague's, a LangGraph agent you're running locally, and the OpenClaw on your Mac Studio at home collaborating on the same goal, going back and forth, full-duplex, across every vendor, framework, and machine line at once.

ChatGPT, Claude Code, OpenClaw — three inflection points that reshaped the industry in two years, each pointing the same way: the next step is many agents, not one. Which raises the question nobody's answered well yet — how do many agents actually work together? Today's answer is orchestration, and it's genuinely good — until you need stateful peers holding a single conversation together, which none of them are built to do. So we'll make a different case: that the next inflection point is a collaboration layer that lets separate agent systems share one conversation as stateful peers, whatever they're built on. We'll show that this is the inflection point the last three were leading to with a demo and a real enterprise use case.