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LobeChat

Open-source multi-model AI chat framework with plugin ecosystem

LobeChat is a source-available AI chat and agent workspace for OpenAI, Claude, Gemini, Ollama, DeepSeek, and Qwen. It includes RAG, 10,000+ MCP-compatible plugins, Agent Groups, TTS/STT, Vercel/Docker self-hosting, and 79K+ GitHub stars.

About LobeChat

LobeChat by LobeHub is a feature-rich, open-source AI chat framework that rivals commercial products in polish and capability. It supports virtually every major LLM provider — OpenAI, Anthropic Claude, Google Gemini, DeepSeek, Qwen, Ollama for local models, AWS Bedrock, Azure, Mistral, and more. The interface is beautifully designed with a responsive PWA layout that works seamlessly on desktop and mobile, complete with dark mode and customizable themes.

The Agent Builder lets you create personalized AI agents with auto-configuration from natural language descriptions. Agent Groups enable multi-agent collaboration where specialized agents work as real teammates on shared contexts. The plugin ecosystem includes 10,000+ MCP-compatible tools and skills. Built-in knowledge base features support file uploads across documents, images, audio, and video with RAG-powered retrieval. Text-to-Speech and Speech-to-Text support multiple voice providers including OpenAI Audio and Microsoft Edge Speech.

Deployment is remarkably simple: one-click deploy to Vercel with just an API key, or self-host via Docker. LobeChat supports server-side database mode with PostgreSQL for multi-user scenarios with authentication. The project is under the LobeHub Community License with 79,000+ GitHub stars, making it one of the most-starred chat frameworks on GitHub. On Reddit's r/LocalLLaMA, it is frequently recommended as the feature-rich alternative to Open WebUI, particularly praised for its superior UI design and extensive plugin support.

Pricing & Platform Specs

Pricing Summary

Free and 100% open source under the MIT License ($0 software licensing fee for self-hosting across Docker, Vercel, and Kubernetes). Users Bring Your Own Keys (BYOK) to pay model providers directly, or run local models for $0 via Ollama. An official managed SaaS option (LobeHub Cloud) is available with a Free tier (starter compute credits) and Pro plans starting at ~$9.90/month for synchronized cloud database hosting and pre-configured multi-model access.

full pricing breakdown →

Supported Platforms

Web (PWA), Docker, Vercel, self-hosted

Explore categories, tags & use cases

Self-hosted AI platform with ChatGPT-like interface for local and cloud LLMs.

Extensible, self-hosted AI platform with 290M+ Docker pulls and 124K+ GitHub stars. Supports Ollama, OpenAI-compatible APIs, and any Chat Completions backend. Features built-in RAG, multi-user RBAC, voice/video calls, Python function workspace, model builder, and web browsing. Runs entirely offline with enterprise features including SSO and audit logging.

All-in-one self-hosted AI app with RAG, agents, and multi-user support

AnythingLLM is an open-source, privacy-first AI application that turns any document into an interactive knowledge base. It bundles document ingestion, vector storage (built-in LanceDB), RAG pipelines, AI agents, and multi-user access into a single deployable package. Supports 30+ LLM providers including OpenAI, Anthropic, Ollama, and local models. With 62K+ GitHub stars and MIT license, it runs as a desktop app or Docker container with zero configuration required out of the box.

Open Source

Offline-first AI assistant for local inference

Jan is an open-source offline-first AI assistant with 25K+ GitHub stars running LLMs locally without sending data externally. Features a ChatGPT-like interface with one-click model downloads from Hugging Face, conversation management, customizable prompts, and an OpenAI-compatible local API server. Supports GGUF models via llama.cpp with GPU acceleration on NVIDIA and Apple Silicon. Built with Electron for macOS, Windows, and Linux with full data privacy.

Open Source

Run LLMs locally with one command

Tool for running large language models locally on your machine with a simple CLI interface. Download and run Llama 3, Mistral, Gemma, Phi, Code Llama, and dozens of other open-source models with a single command. Features model management, GPU acceleration (NVIDIA/AMD/Apple Silicon), OpenAI-compatible API server, Modelfile for customization, and multi-model switching. Ideal for offline AI development, privacy-sensitive use cases, and local testing. 120K+ GitHub stars.

Open Source

Side-by-Side Comparisons

LobeChat logo
LobeChat
vs
AnythingLLM logo
AnythingLLM

LobeChat vs AnythingLLM — Agent Workspace with 10K Plugins vs All-in-One RAG Platform

LobeChat and AnythingLLM are both open-source self-hosted AI platforms with massive GitHub communities, but they evolved in different directions. LobeChat is becoming an agent workspace with 10,000+ MCP plugins, Agent Groups, and scheduled tasks. AnythingLLM is a complete RAG platform with document ingestion, vector storage, agents, and team management. This comparison helps you choose between agent-centric and document-centric AI infrastructure.

LobeChatAnythingLLM
Open WebUI logo
Open WebUI
vs
LobeChat logo
LobeChat

Open WebUI vs LobeChat — Feature-Rich Chat Platform vs Agent-Powered AI Workspace

Open WebUI and LobeChat are the two most popular open-source ChatGPT alternatives, both with 50,000+ GitHub stars. Open WebUI provides the most complete ChatGPT replica with RAG, voice, and a pipeline plugin system. LobeChat offers a modern agent workspace with 10,000+ MCP plugins, Agent Groups for multi-agent collaboration, and scheduled tasks. This comparison helps self-hosted AI enthusiasts choose their primary chat interface.

Open WebUILobeChat

Community experience

Sources & verification

Sources checked
Content verified

Verification dates are editorial checks. Routine CMS saves and automatic updatedAt timestamps do not advance them.

FAQ

What is LobeChat?

LobeChat is a source-available AI chat and agent workspace for OpenAI, Claude, Gemini, Ollama, DeepSeek, and Qwen. It includes RAG, 10,000+ MCP-compatible plugins, Agent Groups, TTS/STT, Vercel/Docker self-hosting, and 79K+ GitHub stars.

Is LobeChat free?

Yes — LobeChat is open source and free to use. Free and 100% open source under the MIT License ($0 software licensing fee for self-hosting across Docker, Vercel, and Kubernetes). Users Bring Your Own Keys (BYOK) to pay model providers directly, or run local models for $0 via Ollama. An official managed SaaS option (LobeHub Cloud) is available with a Free tier (starter compute credits) and Pro plans starting at ~$9.90/month for synchronized cloud database hosting and pre-configured multi-model access.

Is LobeChat open source?

Yes — LobeChat is open source.

Is LobeChat still maintained?

Yes — LobeChat is active. Its listing was last verified on September 6, 2026.

What are the best LobeChat alternatives?

The first editor-selected LobeChat alternatives are Open WebUI, AnythingLLM, Jan, and more.

How does LobeChat score in our review?

The published editorial review lists LobeChat at 85/100 overall across speed, privacy, and developer experience. Check the review's evidence status and test metadata for its verification level.