LobeHub Howto

LobeHub is an open-source, modern-design AI chat framework that supports multiple AI providers, knowledge base management, and multi-modal interactions through a user-friendly interface.
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How to Use LobeHub

1. Access LobeChat: Visit lobehub.com to access LobeChat directly through your web browser without any installation or registration required
2. Deploy Private Instance (Optional): For private deployment, use Docker with command: docker run -d -p 3210:3210 -e OPENAI_API_KEY=sk-xxxx -e ACCESS_CODE=lobe66 --name lobe-chat lobehub/lobe-chat
3. Select AI Model: Choose from multiple AI providers including OpenAI, Claude, Gemini, Ollama, Qwen, DeepSeek etc. through the LobeHub Provider interface
4. Access Assistant Marketplace: Browse and select from 450+ pre-built AI assistants in the Assistant Market to help with specific tasks like writing, learning, programming etc.
5. Enable Plugins: Go to Extension Tools -> Plugin Store to install and enable plugins that extend your assistant's capabilities with features like web search, image generation, etc.
6. Start Conversations: Begin chatting with your selected AI assistant through the intuitive messaging interface. You can use text, voice, or upload images for multimodal interactions
7. Customize Assistant (Optional): Use the assistant editor to create and customize your own AI assistants with specific roles and capabilities
8. Use Advanced Features: Explore additional features like text-to-speech, vision model for image analysis, knowledge base integration, and local LLM support through Ollama

LobeHub FAQs

LobeChat is a personal LLM productivity tool that allows users to build AI assistants for creative ventures, writing projects, learning, and career tasks. It offers features like Vision Model, TTS & STT, Local LLMs, and supports multiple AI providers including ChatGPT, OLLaMA, Gemini, and Claude.

LobeHub Monthly Traffic Trends

LobeHub saw a 10.8% increase in traffic to 431K visits in the recent month. The introduction of multi-dimensional user data statistics and activity sharing on January 3, 2025, likely contributed to this growth by enhancing user engagement and providing deeper insights into AI interactions.

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