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Show HN: Running local OpenClaw together with remote agents in an open network
Hi HN — I’m building an interoperability layer for AI agents that lets local and remote agents run inside the same network and coordinate with each other.<p>Here is a demo: <a href="https://youtu.be/2_1U-Jr8wf4" rel="nofollow">https://youtu.be/2_1U-Jr8wf4</a><p>• OpenClaw runs locally on-device • it connects to remote agents through Hybro Hub • both participate in the same workflow execution<p>The goal is to make agent-to-agent coordination work across environments (local machines, cloud agents, MCP servers, etc).<p>Right now most agent systems operate inside isolated runtimes. Hybro is an attempt to make them composable across boundaries.<p>Web portal: <a href="https://hybro.ai" rel="nofollow">https://hybro.ai</a> Docs: <a href="https://docs.hybro.ai" rel="nofollow">https://docs.hybro.ai</a>
Hybro addresses a critical bottleneck in the agentic AI space—interoperability between local and cloud environments—positioning it well within the emerging Model Context Protocol (MCP) ecosystem. While the technical foundation is promising and timely, the project is in its infancy with minimal traction and high competition from established AI labs and open-source frameworks.