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lobe chat

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Basic Information

Lobe Chat is an open-source chat UI and extensible framework for building, deploying, and running private conversational applications powered by large language models. It provides a modern, design-focused interface and runtime that supports multimodal interactions (text, images, audio), function-calling plugins (MCP), and an agent marketplace. The project targets both end users who want a private ChatGPT-like app and developers who need a platform to connect multiple model providers, integrate external tools and data, and publish custom agents and plugins. Lobe Chat supports one-click deployment options, self-hosting via Docker or cloud platforms, local model execution (Ollama), multi-user management, and both local and server-side databases, enabling private, production-ready chat services with customizable themes, PWA/desktop clients, and internationalization workflows.

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64476
App URL
https://github.com/lobehub/lobe-chat
Github Repository
https://github.com/lobehub/lobe-chat/blob/main/README.md

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App Details

Features
Lobe Chat highlights an MCP plugin system with one-click installation and a curated MCP Marketplace, a Plugin SDK and gateway for developing and hosting function-calling extensions, and an Agent Market to discover and submit specialized agents. It supports many model service providers including OpenAI, Anthropic, Google Gemini, Bedrock, Ollama, HuggingFace and others (total providers listed in README), plus local LLM usage. Multimedia features include model visual recognition (gpt-4-vision), file upload and knowledge base, TTS/STT voice, text-to-image generation, Claude Artifacts rendering, Chain-of-Thought visualization, branching conversations, PWA/desktop clients, and deployment options (Vercel, Zeabur, Docker). Enterprise and privacy features include multi-user auth (next-auth and Clerk), local or remote databases, CRDT sync, custom domains, and theme customization.
Use Cases
For users, Lobe Chat delivers a polished, privacy-conscious chat experience with real-time internet search, multimodal input and output, voice and image support, file-backed knowledge bases, and easy deployment as a PWA or desktop app. For developers and teams, it provides extensibility via plugins and an SDK, a plugin gateway and template repos, multi-provider model routing, local model support, marketplace and agent publishing, and self-hosting guides for Docker and cloud. The platform simplifies building function-calling workflows, integrating external APIs and databases, and sharing reusable agents while offering performance tuning, internationalization, and community-driven components that speed prototyping and production rollouts.

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