LibreChat vs chat-ui
Self-hosted AI chat platforms compared
LibreChat and chat-ui both provide web interfaces for chatting with language models, and both can be self-hosted. LibreChat focuses on connecting multiple provider integrations in one platform, while chat-ui connects to an OpenAI-compatible API and does not provide model inference.
LibreChat: Self-Host an AI Chat Platform
LibreChat is a TypeScript, Node.js platform for self-hosted AI conversations, bringing multiple AI providers into one multi-user chat interface. It adds agents, MCP tools, file handling, and administration for people who want control over their AI setup.
chat-ui: Build a Web Interface for OpenAI-Compatible LLMs
Chat UI is a SvelteKit application for chatting with models through OpenAI-compatible APIs. It powers HuggingChat and can be self-hosted with a compatible model service, optional MongoDB, and configurable tools.
| LibreChat | chat-ui | |
|---|---|---|
| Language | TypeScript | TypeScript |
| License | MIT | Apache-2.0 |
| Stars | 46.1k | 11k |
| Forks | 9.5k | 1.7k |
| Last analyzed | Oct 22, 2026 | Oct 3, 2026 |
Key differences
- LibreChat supports named provider integrations including OpenAI, Anthropic, AWS Bedrock, Google, and Azure, while chat-ui requires an OpenAI-compatible API endpoint.
- LibreChat includes multi-user controls such as roles, groups, and an admin panel; chat-ui stores users and application data in MongoDB and offers configurable branding and routing.
- LibreChat offers agents, file workflows, image generation, conversation sharing, and observability integrations; chat-ui focuses on model discovery, persistent chat, and optional MCP or function-calling tools.
- Both projects use TypeScript, but chat-ui is built with SvelteKit; LibreChat's framework is not specified here.
- LibreChat is licensed under MIT, while chat-ui is licensed under Apache-2.0.
- Both can be self-hosted, but chat-ui production deployments require a suitable OpenAI-compatible model service and MongoDB for persistent application data; LibreChat operators manage deployment and provider credentials.
Choose LibreChat if you…
- need integrations with several named AI providers in one interface.
- want built-in multi-user controls, agents, file workflows, or conversation sharing.
- plan to configure and operate your own provider credentials and deployment.
Choose chat-ui if you…
- want a SvelteKit interface for an OpenAI-compatible API service.
- need model discovery from the configured API and optional MongoDB-backed persistence.
- want configurable branding, MCP tools, or optional model routing.
Compare the numbers side by side, or add more projects
This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.