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GitHub · lobehub/lobehub↑ +71 today

Operations management with artificial intelligence agents

LobeHub enables creating an AI team operations that works 24 hours a day, 7 days a week, by managing artificial intelligence agents through recruitment, scheduling and reporting processes. The platform offers an administrative interface that automates workflows by organizing different agents from a single center.

Updates

  • November 7, 2026: Stars 83,808 → 84,267, latest release v2.3.2 (November 6, 2026).
  • November 4, 2026: Stars 83,653 → 83,808, latest release v2.3.1 (November 3, 2026).
  • November 1, 2026: Stars 83,595 → 83,653, latest release v2.3.0 (November 1, 2026).
  • October 30, 2026: Stars 83,300 → 83,595, latest release v2.2.21 (October 29, 2026).

What you get

  • Managing all artificial intelligence agents from a single center
  • Inter-agent cooperation and task distribution
  • Support for over 10,000 tools and plugins

Installation

macOS desktop (Homebrew)
brew install --cask lobehub
Docker image
docker pull lobehub/lobehub

Running it

Launch with Docker
docker compose up -d

Getting started

To start using LobeHub, you can visit the official website or review the installation options with Vercel, Zeabur, Sealos, Alibaba Cloud or Docker in the 'Self Hosting' section in the GitHub repository. For detailed information and current documentation, just take a look at the official document page of the project.

Related dictionary terms

Who it is forIt is suitable for users who want to manage their AI agents as a team and automate their workflows.

Links

TreScout did not build this tool · we found it in GitHub trends and wrote it up. This page describes the repository as of 2026-07-17: The star count and our text belong to that day, the repository may have changed since. Check the repository link for the current state. The introductory text was prepared with AI from the repository's own documentation, and this page was machine-translated from the Turkish original · the Turkish version prevails.