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HYBRO Hub: local & remote AI agents — private, powerful, unified.

14 starsPython

Running local OpenClaw together with remote agents in an open network

by kevinlu·Apr 4, 2026·8 points·2 comments
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AI Analysis

●●SolidSolve My ProblemShip It

Mix local Ollama agents with cloud workflows without sacrificing privacy or switching UIs.

Strengths
  • •Background daemon model means zero context switching during development workflows.
  • •Explicit privacy control routes sensitive tasks to local models instantly.
  • •Unified portal avoids managing separate interfaces for local and remote agents.
Weaknesses
  • •Reliance on hybro.ai cloud portal undermines the fully offline privacy promise.
  • •Multi-agent coordination is nascent; most users just want single-model chat.
Category
AI/ML
Target Audience

AI engineers building multi-agent systems

Similar To

Open WebUI · Continue.dev · LangGraph

Post Description

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.

Here is a demo: https://youtu.be/2_1U-Jr8wf4

• OpenClaw runs locally on-device • it connects to remote agents through Hybro Hub • both participate in the same workflow execution

The goal is to make agent-to-agent coordination work across environments (local machines, cloud agents, MCP servers, etc).

Right now most agent systems operate inside isolated runtimes. Hybro is an attempt to make them composable across boundaries.

Web portal: https://hybro.ai Docs: https://docs.hybro.ai

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