LobeHub¶

What it is¶

LobeHub is an open-source, collaborative AI agent platform designed for building and managing personalized AI assistants and teams. It features a modern, user-friendly interface that supports a wide range of AI providers and models.

What problem it solves¶

It centralizes multiple AI models (OpenAI, Claude, Gemini, Ollama) and an extensive ecosystem of plugins and MCP servers into a single, cohesive workspace for both personal productivity and team collaboration.

Where it fits in the stack¶

Category: AI Assistants & Knowledge / Agent Platform

Typical use cases¶

Personalized AI Assistants: Creating custom agents for writing, coding, or professional tasks.
Multi-Agent Collaboration: Building and managing teams of agents that specialize in different parts of a workflow.
Self-Hosted AI Workspace: Deploying a private, secure AI interface via Docker.

Strengths¶

Extensive Ecosystem: Over 200,000 skills and 30,000+ MCP servers available in its marketplace.
Multi-Provider Support: Switch seamlessly between cloud providers (OpenAI, Anthropic) and local models (Ollama).
Modern UI: Highly refined user experience with support for multi-modal interactions (text, voice, image).

Limitations¶

Configuration Complexity: Setting up complex multi-agent workflows can have a steep learning curve.
Resource Intensive: Self-hosting the full platform with multiple plugins requires meaningful server resources.

When to use it¶

When you want a professional-grade, self-hostable interface for all your AI models.
When you need to build specialized "agent teams" for complex tasks.

When not to use it¶

If you need a extremely lightweight, single-model chat client.
If you prefer a CLI-first or terminal-integrated workflow (see Claude Code).

Licensing and cost¶

Open Source: Yes (MIT License)
Cost: Free (Self-hosted) / Freemium (Cloud version with credit system)
Self-hostable: Yes (via Docker)

Getting started¶

Installation (Docker)¶

The recommended way to self-host LobeHub (Lobe Chat) is via Docker.

# Using the setup script
bash <(curl -fsSL https://lobe.li/setup.sh)

# Start the service
docker compose up -d

Local Development¶

git clone https://github.com/lobehub/lobe-chat.git
cd lobe-chat
pnpm install
pnpm dev

CLI examples¶

1. Initialize Docker Infrastructure¶

# Pulls latest images and sets up initial volumes
bash <(curl -fsSL https://lobe.li/setup.sh)

2. Start with Environment Variables¶

docker run -d -p 3210:3210 \
  -e OPENAI_API_KEY=sk-xxxx \
  -e ACCESS_CODE=lobe66 \
  --name lobe-chat \
  lobehub/lobe-chat

3. Check Service Status¶

docker ps | grep lobe-chat

API examples¶

Integration with Ollama¶

LobeHub connects to Ollama via its local endpoint. In LobeHub settings: 1. Navigate to Language Models -> Ollama. 2. Set Proxy to http://localhost:11434/v1 (or your Ollama server IP). 3. Enable the models you have pulled locally.

Using MCP Servers¶

LobeHub supports Model Context Protocol (MCP) servers. To add a tool via MCP: 1. Go to Plugins -> MCP. 2. Enter the MCP server URL or configure a local executable path. 3. The tools provided by the MCP server will now be available for your agents to use.

Sources / References¶

Contribution Metadata¶

Last reviewed: 2026-05-28
Confidence: high