Open WebUI vs SillyTavern

Open WebUI is a self-hosted interface for local and cloud AI models, designed to run entirely offline. It connects to Ollama and OpenAI-compatible APIs. Installation options include Docker, pip, uv, and desktop setup; the documentation recommends Docker or Python for production deployments. Listed capabilities include voice, vision, retrieval, generation, search, Python extensions, file uploads, image generation, app integrations, and team workspaces. Its extension system supports Filters, Actions, Pipes, Tools, and Skills, and can connect through MCP, MCPO, and OpenAPI tool servers. Knowledge retrieval includes local RAG with nine vector databases, multiple content-extraction engines, hybrid search, reranking, and full-context mode. Organizations can deploy it on-premises, in a private cloud, or in an air-gapped environment. The operator configures where chats and other data are stored; data can be routed externally when external providers, tools, model endpoints, or integrations are configured. The software is free to use as-is with original branding intact. Deployments with more than 50 users must keep Open WebUI branding visible unless an exception applies.

SillyTavern is a locally installed interface for interacting with text-generation models, image-generation engines, and text-to-speech voice models. Users can create, import, and switch between character cards, then return to chat histories or review them. The interface includes group chats, lorebooks, personas, prompt controls, chat commands, scripting, and built-in retrieval-augmented generation. Extensions can add character sprites, chat summarization and translation, image generation, text-to-speech, and web search. SillyTavern works with local and cloud model backends, including KoboldCpp, llama.cpp, Ollama, OpenAI, Claude, Mistral, OpenRouter, and AI Horde. The project says it will remain free and open source under AGPL-3.0 and provides no hosted service. It says it does not programmatically track user data, though cloud providers may log information sent to them. Local use requires a system supporting NodeJS 20 or higher; documentation recommends an NVIDIA 3000-series GPU with at least 6GB of VRAM for local inference. The app was not designed for very large character libraries, and performance can degrade above 1,000 characters.