LobeChat

Pioneering the new age of thinking and creating. Built for you, the Super Individual.

2024-05-03

LobeChat is an open-source, modern-design ChatGPT/LLMs UI/Framework that revolutionizes AI interactions. It supports speech-synthesis, multi-modal capabilities, and an extensible plugin system (function call), enabling users to deploy their private OpenAI ChatGPT/Claude/Gemini/Groq/Ollama chat applications with just one click.

Key Features:

  • Chain of Thought Visualization: Observe AI's decision-making process in real-time with step-by-step reasoning.
  • Branching Conversations: Explore multiple conversation paths while preserving original context.
  • Multi-Model Support: Compatible with over 40 model service providers including OpenAI, Anthropic, Google Gemini, and local models via Ollama.
  • TTS & STT Voice Conversation: Convert text to speech and vice versa for a more natural interaction.
  • Text to Image Generation: Integrates with DALL-E 3, MidJourney, and other AI tools for visual storytelling.
  • Plugin System: Extend functionality with 45+ plugins for real-time information retrieval, document search, and third-party service integration.
  • Agent Marketplace: Discover and share 488+ AI agents for various tasks, with automated i18n support for global accessibility.
  • Local/Remote Database: Choose between local CRDT-based sync or server-side PostgreSQL for data management.
  • Multi-User Management: Supports next-auth and Clerk for secure authentication and user profiles.
  • PWA & Mobile Optimization: Progressive Web App delivers a native-like experience across devices.
  • Custom Themes: Personalize UI with light/dark modes and color customization.

Deployment is seamless via Vercel, Docker, or cloud providers, with privacy-first local browser data storage. LobeChat is actively developed by a community of e/acc design-engineers, aiming to democratize AI agent creation through open-source collaboration.

Artificial Intelligence Chat Applications Open-Source Frameworks Multimodal Interaction Plugin Systems