workflowstacks
mcp-server

LobeHub: 24/7 AI Team Management

Founders get organized AI operations with LobeHub. For startup founders managing AI teams.
82,036 stars15,839 forksTypeScriptHealth Score 8/10Updated 8/27/2026100% free · open source
What it does

LobeHub organizes and manages AI agents into 24/7 operations, handling hiring, scheduling, and reporting for the entire AI team.

Install / run
git clone https://github.com/lobehub/lobehub.git && cd lobehub
When to use it
  • When you have a large team of AI agents to manage and need centralized control
  • When your AI operations require 24/7 monitoring and scheduling
  • When you need detailed reporting on your AI team's performance and activity
Quick start
  1. 1Run 'npm install' to set up the required dependencies
  2. 2Configure your AI team settings in the 'config.ts' file
  3. 3Start the LobeHub server with 'npm run start'
  4. 4Access the LobeHub dashboard at 'http://localhost:3000' to manage your AI team
  5. 5Use the 'lobehub hire' command to add new AI agents to your team
Ready-to-paste prompt
lobehub hire --name=my_agent --type=chatbot --schedule=24/7
Heads up: Make sure you have Node.js and npm installed on your system, with a compatible version (LobeHub requires Node.js 16 or higher)
Saves to your device

Topics

agent
agent-collaboration
agent-harness
ai
cao
chatgpt
chief-agent-operator
claude
deepseek
fable
gemini
glm
gpt
knowledge-base
loop-engineering
mcp
openai
skills
How LobeHub: 24/7 AI Team Management works
Codeflow
Free to inspect

LobeHub: 24/7 AI Team Management is a very large TypeScript project (~1.4M lines across 11162 code files, plus 1049 test files). It is a full software project: use it through its install path rather than reading it end to end. Last commit this month, Other license, has a test suite.

Size
Very large codebase
~1.4M lines · 11162 code files · days to read — use, don't read
Setup
Developer setup
A real software project. Use it via its install path; don't expect to read it all.
Runs on
Node.js · Docker
Needs API keys (.env)
TypeScript 99%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    AGENTS.md
    The instructions the AI actually follows
  3. 3
    package.json
    Dependencies and the commands it exposes
  4. 4
    .env.example
    The API keys and settings you must provide
  5. 5
    src/styles/index.ts
    Inside src/ — the main logic begins here
What's in each folder
src/Core code — the actual logic6031 files
packages/Sub-packages / plugins4481 files
apps/Sub-packages / plugins2106 files
plugins/Sub-packages / plugins13 files
docs/Documentation521 files
locales/Translations972 files
scripts/Helper scripts86 files
docker-compose/Folder23 files
READMEHas testsDocumentedCI checksDocker readyOther licenseUpdated this month
Quick Actions
Details
Creator
lobehub
Language
TypeScript
Category
mcp-server
Published
5/21/2023

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