LobeHub

Product Hunt 05/15/26, 09:48 AM Products

Summary

LobeHub is a tool designed as a chief agent operator for orchestrating multi-agent AI work.

<p> Your Chief Agent Operator for multi-agent work </p> <p> <a href="https://www.producthunt.com/products/lobehub?utm_campaign=producthunt-atom-posts-feed&utm_medium=rss-feed&utm_source=producthunt-atom-posts-feed">Discussion</a> | <a href="https://www.producthunt.com/r/p/1147569?app_id=339">Link</a> </p>

Original Article

Similar Articles

lobehub/lobehub

GitHub Trending (daily)

LobeHub is an open-source AI agent collaboration platform that enables users to find, build, and collaborate with agent teammates, featuring MCP plugin support, multi-model providers, and local/remote deployment options.

@rohanpaul_ai: Managing AI agents by hand is yesterday’s job. hire a Chief Agent Operator and move on. LobeHub launched just that. It …

X AI KOLs Following

LobeHub launches a Chief Agent Operator (CAO) that enables teams to hire and schedule AI agents from a 273K-skill marketplace, run them in the cloud 24/7, and send reports through IM apps, turning agents into background workers that can be assigned tasks once and then run autonomously.

@rohanpaul_ai: 2. Here, I’m using LobeHub as a Chief Agent Operator to build a mini Twitter growth workflow: one agent monitors AI tre…

X AI KOLs Timeline

Rohan Paul demonstrates using LobeHub as a chief agent operator to orchestrate multiple AI agents for a Twitter growth workflow, including trend monitoring, research, thread writing, and scheduling without connecting his X account.

AgentOS

Product Hunt

AgentOS provides a unified control layer for managing AI agents, tasks, and workspaces.

I built AgentLighthouse, a local “Lighthouse for AI agents” that scans repos/docs/APIs for agent readiness

Reddit r/AI_Agents

AgentLighthouse is a local-first tool that scans repositories, docs, and APIs to assess how well AI coding agents (like Codex, Claude Code, Cursor) can understand and use a project. It checks for agent instruction files, documentation quality, setup clarity, OpenAPI operation quality, MCP tool descriptions, and more.