Open Webui — AI Agent Framework: Live Stats & TrendScore

Live GitHub stats, community sentiment, and trend data for Open Webui. TrendingBots tracks star velocity, fork activity, and what developers are saying — updated from real data sources.

GitHub data synced: May 6, 2026 • Sentiment updated: Apr 9, 2026

GitHub Statistics

Community Sentiment

Community Buzz: I use Open WebUI as my self-hosted ChatGPT alternative but missed having a proper native Mac app for it, as mentioned on HackerNews. Another user on GitHub said 'Honestly, typing on the M5StickS3 is a bit of a struggle'

Pros & Cons

What People Love

Easy to use, Self-hosted chatbot alternative, Native Mac app available

Common Complaints

Crashes, Memory leaks

Biggest Positive: Easy to use

Biggest Negative: Crashes often

Why Open Webui Stands Out

Open WebUI stands out from alternatives by providing an extensible, feature-rich, and user-friendly self-hosted AI platform that operates entirely offline. Its support for various LLM runners, built-in inference engine for RAG, and granular permissions and user groups make it a powerful AI deployment solution. The project's emphasis on customization, with features like custom theming and branding, Service Level Agreement (SLA) support, and Long-Term Support (LTS) versions, sets it apart from other solutions. Additionally, Open WebUI's ability to integrate with multiple Speech-to-Text providers and Text-to-Speech engines enables dynamic and interactive chat environments.

Built With

Build a self-hosted AI chat platform with support for multiple LLM runners — Open WebUI enables this by providing a user-friendly interface for Ollama and OpenAI-compatible APIs, Build a custom chatbot with granular permissions and user groups — Open WebUI allows administrators to create detailed user roles and permissions for a secure user environment, Build a responsive web application with Progressive Web App (PWA) support for mobile devices — Open WebUI provides a seamless experience across Desktop PC, Laptop, and Mobile devices, Build a model builder for creating and customizing Ollama models via the Web UI — Open WebUI enables easy creation and addition of custom characters/agents, customization of chat elements, and import of models, Build a native Python function calling tool for enhancing LLMs with built-in code editor support — Open WebUI allows users to add pure Python functions for seamless integration with LLMs

Getting Started

  1. Install Open WebUI using Docker or Kubernetes (kubectl, kustomize or helm) with the command `docker run -d --name open-webui -p 8000:8000 openwebui/open-webui`
  2. Configure the platform by creating a `config.json` file with your preferred settings, such as API keys and database connections
  3. Initialize the database by running the command `docker exec -it open-webui python manage.py migrate`
  4. Start the platform by running the command `docker exec -it open-webui python manage.py runserver`
  5. Try accessing the web interface at `http://localhost:8000` to verify it works

About

User-friendly AI Interface (Supports Ollama, OpenAI API, ...)

Official site: https://openwebui.com

Category & Tags

Category: memory

Tags: ai, llm, llm-ui, llm-webui, llms, mcp, ollama, ollama-webui, open-webui, openai, openapi, rag, self-hosted, ui, webui

Market Context

Open WebUI competes with other self-hosted chatbot alternatives