LobeHub
LobeHub is a platform that organizes AI agents into a 24/7 operation, allowing users to hire, schedule, and report on an entire AI team. It solves the problem of fragmented, one-off AI tools by providing a unified workspace where agents work as teammates. It is for developers and users who want to build, collaborate with, and manage AI agents in a structured environment.
✨ Key features
- Bring all your agents under one roof for more productivity.
- IM Gateway: Agents where you already chat.
- Agent Builder: Describe needs, auto-configures agents instantly.
- Unified Intelligence: Access any model and modality under your control.
- 10,000+ Skills: Connect agents to tools and MCP-compatible plugins.
- Agent Groups: Parallel collaboration and iterative improvement with agents.
🎯 Use cases
- Deploy a self-hosted AI agent platform on your own infrastructure.
- Build a personalized AI team with custom agents for specific tasks.
- Collaborate with agents in shared workspaces for team projects.
- Schedule agent runs to automate tasks while you are away.
- Use personal memory for agents to learn and adapt to your work style.
📦 Installation
🧰 Requirements: Requires an OpenAI API key for LLM access; can be self-hosted via Docker or cloud platforms like Vercel.
Deploying with Docker
- Create a folder for storage files:
$ mkdir lobehub-db && cd lobehub-db
- Initialize the LobeHub infrastructure:
bash <(curl -fsSL https://lobe.li/setup.sh)
- Start the LobeHub service:
docker compose up -d
For one-click deployment on Vercel, Zeabur, Sealos, or Alibaba Cloud, prepare your OpenAI API Key and click the deploy button in the README.
🚀 Usage
After deployment, set the OPENAI_API_KEY environment variable and access the LobeHub interface to start creating and managing agents. For detailed usage, refer to the official documentation.
⚠️ Good to know
LobeHub is currently under active development, and feedback is welcome for any issues encountered.
❓ FAQ
What is LobeHub?
LobeHub is a platform that organizes AI agents into a 24/7 operation, allowing you to hire, schedule, and report on your entire AI team.
How do I deploy LobeHub?
You can deploy LobeHub using Docker with the provided commands, or via one-click deployment on Vercel, Zeabur, Sealos, or Alibaba Cloud.
What are the requirements to use LobeHub?
You need an OpenAI API key to chat with LLMs. For self-hosting, you need Docker or a cloud platform account.
Is LobeHub open source?
Yes, LobeHub is open source and available on GitHub. It is under active development.
📊 Repository
🤖 Overview, features, install steps and FAQ were generated from the project's README on Sep 4, 2026. Always check the original source before running commands.