#Open-webui
Showing 18 of 18 repositories tagged #open-webui, ranked by stars
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
Turn your PC, Mac, or Linux box into an AI server. LLM inference, chat UI, voice, agents, workflows, RAG, and image generation.
Free, high-quality text-to-speech API endpoint to replace OpenAI, Azure, or ElevenLabs
🚀 Self-hosted AI automation platform. Deploy n8n, Ollama, Flowise, RAG, Supabase & 30+ tools with one command. Auto HTTPS. Free Zapier/Make alternative.
End-to-end documentation to set up your own local & fully private LLM server on Debian. Equipped with chat, web search, RAG, model management, MCP servers, image generation, and TTS.
Open‑WebUI Tools is a modular toolkit designed to extend and enrich your Open WebUI instance, turning it into a powerful AI workstation. With a suite of over 15 specialized tools, function pipelines, and filters, this project supports academic research, agentic autonomy, multimodal creativity, workflows, and more
Local, OpenAI-compatible text-to-speech (TTS) API using Chatterbox, enabling users to generate voice cloned speech anywhere the OpenAI API is used (e.g. Open WebUI, AnythingLLM, etc.)
Open-WebUI-Functions is a collection of custom pipelines, filters, and integrations designed to enhance Open WebUI. These functions enable seamless interactions with Azure AI, N8N, Google Gemini and other AI models, providing dynamic request handling, preprocessing, and automation.
Use MCP and OpenAPI to safely control Proxmox VE VMs, LXCs, backups, and snapshots from LLMs and AI agents.
A collection of enhancements, plugins, and prompts for Open WebUI, developed and curated for personal use to extend functionality and improve experience.
To simplify and streamline LLM operations, empowering developers and organizations to harness the full potential of large language models with ease.
AI agent grounded with search and extract tools to reduce hallucination.
This project applies the core knowledge from the LLMOps module, including the design and implementation of the API Layer, Inference Layer, Observability Layer, Cache Layer, Guardrails Layer, Routing Layer, and the Data Ingestion Pipeline.
This repository provides resources and guidelines to facilitate the integration of Open-WebUI and Langfuse, enabling seamless monitoring and management of AI model usage statistics.
Private LLM/RAG platform in one command for NVIDIA DGX Spark / GB10 (arm64). Validated on real hardware.
AI-Suite - n8n, OpenClaw, Open WebUI, OpenCode, Llama.cpp/Ollama, Flowise, Langfuse, MCP Gateway and more!
An external pipeline filter for Open WebUI that refactors aggregate requests with collective wisdom to output structured expert analysis reports.