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AgentProductOperations

LobeHub

lobehub/lobehub

Chief Agent Operator / agent workspace for running and managing AI agents. GitHub: lobehub/lobehub (~81k stars).

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GitHub repository

https://github.com/lobehub/lobehub
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Overview

LobeHub (lobehub/lobehub) is listed in LimeDock Directories as an AI agent resource. Chief Agent Operator / agent workspace for running and managing AI agents. Group: personal-assistants. Community size: ~81k GitHub stars. Repo (copy/paste): https://github.com/lobehub/lobehub This page is a plain-English guide so searches for the GitHub project can land on how teams actually use it.

SaaSOther

Work with LimeDock

Using this skill? LimeDock can wire it into a durable automation you own.

Agents are a starting point. LimeDock turns the workflow into production automation your SaaS team owns — not another prompt library.

We sell owned automations for SaaS teams — live workflows that plug into Slack, CRM, and your internal platform — not just a skill list.

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Link

https://github.com/lobehub/lobehub
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Installation guide

Open the GitHub repository, then follow the README for your stack.

Official GitHub repository: https://github.com/lobehub/lobehub GitHub path: lobehub/lobehub

How to open it: 1. Copy: https://github.com/lobehub/lobehub 2. Clone or follow the README for your OS/stack. 3. Start with the smallest example before production use.

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How to use it

**Simple example** You want one workspace to operate multiple agents instead of juggling tabs.

1. Clone or install LobeHub per the README. 2. Connect your model providers. 3. Create one agent role (research, support, coding) and run a real task with review.

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Example prompts

  • Set up LobeHub as our team agent workspace.
  • How is LobeHub different from Open WebUI?
  • Create a support agent persona in LobeHub.
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Use cases and examples

  • Evaluate lobehub/lobehub as an AI agent building block
  • Pilot LobeHub on one staging workflow
  • Compare against agents you already pay for
  • Document a team playbook after the pilot
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Prerequisites

  • Model API keys or local runtime
  • Clear agent roles
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Tips

  • Start with one agent role.
  • Keep humans approving customer-facing sends.