[{"data":1,"prerenderedAt":113},["ShallowReactive",2],{"seo-verification":3,"marketplace-app-en-librechat":6},{"google":4,"bing":5},"EycwPY2XMyTkVzas3n1ygeNJFGAH513qrMjfDljzsMQ","",{"key":7,"data":8},"marketplace-app-en-librechat",{"slug":9,"slugs":10,"categorySlugs":11,"name":16,"description":17,"phase":18,"unavailableReason":19,"docsUrl":20,"logo":19,"github":19,"tagline":21,"longDescription":22,"features":23,"useCases":30,"steps":40,"faq":59,"specs":75,"compatibleOs":83,"relatedApps":85,"relatedPosts":106,"category":110},"librechat",{"fr":9,"en":9,"ar":9,"es":9},{"fr":12,"en":13,"ar":14,"es":15},"ia","artificial-intelligence","الذكاء-الاصطناعي","inteligencia-artificial","LibreChat","Open-source multi-provider chat interface: OpenAI, Anthropic, Google and local models in a single private UI.",1,null,"https:\u002F\u002Fservorbit.com\u002Fblog\u002Fhow-to-host-librechat-on-a-vps","Private multi-LLM chat — OpenAI, Anthropic, Google and local models on your own server.","LibreChat is an open-source chat interface that unifies multiple AI providers behind a single, polished UI. Deployed on your VPS, it gives your team a private alternative to ChatGPT: conversations, API keys and history stay in your own MongoDB — no data sent to third parties.\n\nIt supports multi-user management with admin roles, per-user API key storage, built-in RAG for document-based conversations, and a flexible `librechat.yaml` for custom endpoints (Ollama, Groq, Mistral). One server, every model, your data.",[24,25,26,27,28,29],"Unified interface for OpenAI, Anthropic, Google Gemini and local Ollama models","Multi-user management with admin roles and access control","Conversation history persisted in your own MongoDB","Built-in RAG: chat with your PDF documents and knowledge bases","Per-user or shared API keys at server level","Extensible via librechat.yaml: custom endpoints, plugins, tool integrations",[31,34,37],{"title":32,"body":33},"Team AI assistant","Deploy a shared ChatGPT alternative for your team. One API key per provider, internal accounts you control, all history in your MongoDB.",{"title":35,"body":36},"Multi-model comparison","Test GPT-4, Claude, Gemma and Mistral side by side in the same interface before integrating one into your product.",{"title":38,"body":39},"Zero-cloud RAG","Combine LibreChat with a local Ollama on the same VPS: your documents, your models, no data leaving the server.",[41,44,47,50,53,56],{"title":42,"body":43},"Order your VPS","From your ServOrbit dashboard, order a Cloud VPS with at least 2 vCPU and 4 GB RAM (8 GB if you add a local Ollama model). Choose Ubuntu 24.04.",{"title":45,"body":46},"Deploy LibreChat","In your client area, click **Install** on the LibreChat card. The automated provisioning deploys LibreChat, MongoDB and all dependencies via Docker Compose.",{"title":48,"body":49},"Create your admin account","Open the app URL in your browser. The first user to register automatically becomes administrator — no setup wizard needed.",{"title":51,"body":52},"Connect your first AI provider","Go to **Settings → API Keys**, enter your OpenAI, Anthropic or Google key, and start chatting. For a fully local setup, point a custom endpoint to your Ollama instance.",{"title":54,"body":55},"Attach a domain (optional)","Attach a domain from your client area to get HTTPS automatically. Without a domain, access via `ssh -L 3080:127.0.0.1:3080 root@your-vps` then `http:\u002F\u002Flocalhost:3080`.",{"title":57,"body":58},"Invite your team","As admin, go to **Admin Panel → Users** to invite team members. You control which AI providers and models each user can access.",[60,63,66,69,72],{"q":61,"a":62},"What is LibreChat?","LibreChat is a self-hosted, open-source chat interface that lets you use OpenAI, Anthropic, Google, and local Ollama models from a single UI — like ChatGPT, but on your own server.",{"q":64,"a":65},"How is LibreChat different from Open WebUI?","Both are multi-model chat interfaces. LibreChat focuses on multi-provider unification (OpenAI + Anthropic + Google + local) with advanced user management and RAG. Open WebUI is optimised for Ollama and local models. Choose LibreChat if you need to manage multiple cloud providers.",{"q":67,"a":68},"Does LibreChat require a domain?","No. LibreChat works on a plain IP:port or via SSH tunnel. A domain is recommended for HTTPS and is required for OAuth social logins.",{"q":70,"a":71},"How do I add my OpenAI or Anthropic key?","Go to Settings → API Keys in the LibreChat UI. You can add keys per user or configure shared server-level keys in the environment variables.",{"q":73,"a":74},"Can I use LibreChat with local models only?","Yes. Configure a custom endpoint pointing to your Ollama instance at http:\u002F\u002Flocalhost:11434\u002Fv1 in librechat.yaml, and you get a fully local, no-cloud setup.",{"ram":76,"cpu":77,"stack":78,"port":82},"2 GB (4 GB recommended)","2 vCPU",[79,80,81],"Docker","Node.js","MongoDB 8","3080",[84],"ubuntu-24.04",[86,94,100],{"name":87,"slug":88,"categorySlug":13,"categoryName":89,"categoryColor":90,"logo":91,"tagline":92,"description":93},"Open WebUI","open-webui","Artificial Intelligence","text-purple-400 bg-purple-500\u002F10","https:\u002F\u002Fcdn.jsdelivr.net\u002Fgh\u002Fselfhst\u002Ficons\u002Fsvg\u002Fopen-webui.svg","Web interface for your LLMs — Ollama, OpenAI, Mistral — hosted on your own server.","Web interface to interact with your local or remote LLMs. Your data stays on your infrastructure — no third party involved.",{"name":95,"slug":96,"categorySlug":13,"categoryName":89,"categoryColor":90,"logo":97,"tagline":98,"description":99},"AnythingLLM","anything-llm","https:\u002F\u002Fcdn.jsdelivr.net\u002Fgh\u002Fselfhst\u002Ficons\u002Fsvg\u002Fanythingllm.svg","Private AI workspace with RAG and agents — your documents, your models, your server.","Open-source AI workspace with built-in RAG, AI agents, and multi-model chat. Connect your own documents, use any LLM — hosted privately on your VPS.",{"name":101,"slug":102,"categorySlug":13,"categoryName":89,"categoryColor":90,"logo":103,"tagline":104,"description":105},"Dify","dify","https:\u002F\u002Fcdn.jsdelivr.net\u002Fgh\u002Fselfhst\u002Ficons\u002Fsvg\u002Fdify.svg","Build LLM applications with drag-and-drop — chatbots, agents, RAG pipelines — no backend required.","Build LLM applications visually: chatbots, RAG agents, pipelines — without writing any backend code.",[107,108,109],"heberger-anythingllm-vps","deployer-dify-vps","heberger-openclaw-vps",{"key":12,"slug":13,"name":89,"objective":111,"icon":112,"color":90},"Build, host and run AI solutions.","ai",1793820389888]