Open Source & Selvhostet

Din AI, dine regler

v0.10.0 Hvad er nyt?
Udgivelsesnoter Se alle →
✨ New Features
  • Added a bundled llama.cpp completion provider profile for qwen3-35b-a3b, including configurable endpoint, sampling, token, penalty, and streaming defaults
  • Added an Ollama Cloud category in the Models library and model selector, backed by Ollama's dedicated cloud listing
  • Added custom accent selection in Appearance with violet, blue, cyan, teal, emerald, amber, rose, slate, and custom color options
  • Added runtime-generated accent shade scales so custom accents can drive buttons, links, focus rings, sliders, progress bars, selected states, and glow shadows
🔧 Improvements
  • Reworked Tailwind theme tokens to use CSS variables for primary and accent, with generated custom palettes meeting white-text contrast targets
  • Refined light and dark neutral palettes to reduce glare while preserving contrast across app backgrounds, panels, inputs, and message surfaces
  • Persisted accent preferences through frontend state, backend preferences, import/export defaults, local rehydration, logout cleanup, and demo mode
  • Added accent translation keys across all supported locales and verified locale key parity against English
  • Expanded demo-mode preference APIs so Appearance, generation, embedding, system-message, and default-model settings can be exercised without a backend connection
  • Standardized the Libre WebUI wordmark through a shared Logo component across loading, login, setup, sidebar, and settings surfaces
  • Replaced fixed violet styling in persona adaptive-learning controls with active-accent tokens
  • Recolored Ollama library and Cloud badges from cyan to the design-system info-blue treatment
  • Reduced noisy debug logging across optional auth, chat, document search, plugin lookup, plugin deletion, TTS, image generation, and WebSocket auth paths
  • Returned package version in auth system info for UI/version display
  • Updated Dependabot targeting to main and ignored incompatible Electron and ESLint major bumps until their upstream compatibility gaps are resolved
🐛 Bug Fixes
  • Fixed a critical app-wide Too many re-renders crash in SettingsModal by memoizing image-generation model/plugin arrays
  • Fixed Ollama Cloud model pulls by tagging cloud library results with :cloud before install/run actions
  • Fixed Ollama Cloud generation failures by stripping unsupported non-positive num_predict values before cloud requests
  • Fixed cloud model pull functionality
  • Fixed auto-title generation for persona/current-model workflows by resolving the real running model before sending title prompts
  • Quietly handles expired or invalid JWTs in auth and WebSocket flows without dumping routine stack traces
  • Kept the lint toolchain on ESLint 9 for compatibility with the current React plugin stack
📚 Documentation
  • Expanded DESIGN.md with custom accent presets, generated shade-scale behavior, token usage rules, light/dark neutral guidance, and contrast requirements
📦 Dependencies
  • Bumped package versions to 0.10.0
  • Updated Electron to 41.7.1 and Electron Builder to 26.15.2
  • Bumped frontend/backend dependencies including React Query, i18next, KaTeX, lucide-react, React Router, Vite, pdfjs-dist, TypeScript tooling, Tailwind Merge, Zustand, Express, Multer, Better SQLite3, and related lockfile entries
  • Remediated npm security advisories through dependency and lockfile updates, including qs, tmp, ip-address, brace-expansion, ws, and related transitive packages

Privatlivsfokuseret AI chat interface. Kør lokalt med Ollama eller forbind til OpenAI, Anthropic og 9+ udbydere. Nul telemetri. Nul sporing.

npx libre-webui

Kræver Node.js 18+ og Ollama til lokal AI

Libre WebUI Interface
Libre WebUI Interface
🔒 Nul telemetri
🏠 Selvhostet
📜 Apache 2.0
🔌 Plugin system

Alt hvad du behøver

En komplet AI chat løsning der respekterer dit privatliv

🤖

Lokal & Cloud AI

Kør modeller lokalt med Ollama eller forbind til OpenAI, Anthropic, Groq, Gemini, Mistral og mere. Dit valg.

📄

Dokumentchat (RAG)

Upload PDF'er, dokumenter og tekstfiler. Stil spørgsmål om dine dokumenter med semantisk søgning og vektor embeddings.

🎨

Interaktive Artefakter

Render HTML, SVG og React komponenter direkte i chatten. Live forhåndsvisning med fuldskærmstilstand.

🔐

AES-256 Kryptering

Enterprise-grade kryptering for alle dine data. Chathistorik, dokumenter og indstillinger krypteres i hvile.

🎭

Tilpassede Personas

Opret AI personligheder med unikke adfærd og system prompts. Import/eksport personas som JSON.

🔊

Tekst-til-Tale

Lyt til AI svar med flere stemmemuligheder. Understøtter browser TTS og ElevenLabs integration.

🖼️

Billedgenerering

Generer billeder med ComfyUI og Flux-modeller. Flere størrelser, kvalitetsindstillinger og problemfri chatintegration.

⚙️

Plugin-variabler

Konfigurerbare indstillinger pr. plugin som temperatur, endpoint og tokens. Følsomme værdier krypteres ved lagring.

⌨️

Tastaturgenveje

VS Code-inspirerede genveje for avancerede brugere. Naviger, skift indstillinger og kontroller alt fra tastaturet.

👥

Multi-bruger Support

Rollebaseret adgangskontrol med SSO support. GitHub og Hugging Face OAuth indbygget.

Forbind til enhver udbyder

Én interface, ubegrænsede muligheder

Ollama
Lokale modeller
OpenAI
GPT-4o, o1, o3
Anthropic
Claude 4, Opus
Groq
Llama, Mixtral
Google
Gemini Pro
Mistral
Mistral Large
OpenRouter
400+ modeller
HuggingFace
1M+ models
+ Custom
Enhver OpenAI-kompatibel API

Kom i gang på sekunder

Vælg din foretrukne installationsmetode

Anbefalet

npx (Én kommando)

npx libre-webui

Kører øjeblikkeligt. Ingen installation påkrævet.

npm (Global installation)

npm install -g libre-webuilibre-webui

Installer én gang, kør hvor som helst.

Docker

docker run -p 8080:8080 libre-webui/libre-webui

Containeriseret deployment.

Opret tilpassede plugins

Forbind enhver OpenAI-kompatibel LLM med en simpel JSON fil

Tilgængelige Plugins

Officielle plugins fra Libre WebUI repository. Klik for at se eller downloade.

Indlæser plugins fra GitHub...
📄 custom-model.json
{
  "id": "custom-model",
  "name": "Custom Model",
  "type": "completion",
  "endpoint": "http://localhost:8000/v1/chat/completions",
  "auth": {
    "header": "Authorization",
    "prefix": "Bearer ",
    "key_env": "CUSTOM_MODEL_API_KEY"
  },
  "model_map": [
    "my-fine-tuned-llama"
  ],
  "variables": [
    {
      "name": "temperature",
      "type": "number",
      "label": "Temperature",
      "default": 0.7,
      "min": 0, "max": 2
    }
  ]
}

Opret dit eget plugin

1

Start din LLM Server

Kør enhver OpenAI-kompatibel server: llama.cpp, vLLM, Ollama eller en tilpasset FastAPI server.

2

Opret Plugin JSON

Definer dit endpoint, autentificering og tilgængelige modeller i en simpel JSON fil.

3

Upload til Libre WebUI

Gå til Indstillinger > Udbydere, upload dit plugin og indtast din API nøgle.

4

Begynd at chatte

Dine tilpassede modeller vises i modelvælgeren. Fuldt privatliv, fuld kontrol.

Plugin Felt Reference

id Unik identifikator (små bogstaver, bindestreger tilladt)
name Visningsnavn i UI
type "completion" for chat, "tts" for tekst-til-tale
endpoint API URL (f.eks. /v1/chat/completions)
auth.header Auth header navn (Authorization, x-api-key)
auth.prefix Nøgle præfiks ("Bearer " eller tom)
auth.key_env Miljøvariabel for din API nøgle
model_map Array af tilgængelige model identifikatorer
variables Konfigurerbare indstillinger (temperatur, endpoint osv.)

Klar til at eje din AI?

Slut dig til tusindvis af brugere der værdsætter privatliv og kontrol.