Enterprise DNA Enterprise DNA
P Apps and SaaS Productivity low

Open WebUI

by Various

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

Apps

Open WebUI

Added 1 June 2026

#ai #llm #llm-ui #llm-webui #llms #mcp #ollama #ollama-webui

Overview

Open WebUI is a self-hosted web interface for running and interacting with large language models locally or via API. It supports multiple backends including Ollama for local inference and OpenAI-compatible APIs, providing a chat interface without vendor lock-in.

Best for

Best for
Developers wanting a self-hosted chat UI for local or hybrid LLM deployments

Use cases

  • Running open-source LLMs locally without cloud dependencies
  • Building custom chat applications with pluggable model backends
  • Testing multiple models through a unified web interface

Notes

Open WebUI is a self-hosted web interface for running and interacting with large language models locally or via API. It supports multiple backends including Ollama for local inference and OpenAI-compatible APIs, providing a chat interface without vendor lock-in.

139,558 stars on GitHub. Last updated 2026-06-01.

Use cases

  • Running open-source LLMs locally without cloud dependencies
  • Building custom chat applications with pluggable model backends
  • Testing multiple models through a unified web interface

Pros

  • Self-hosted, no data sent to third parties by default
  • Supports both local models (Ollama) and remote APIs in one interface
  • Active open-source project with broad community adoption

Cons

  • Requires managing your own infrastructure and model downloads for local use
  • Performance depends on local hardware when running models locally
  • Limited to chat interface, not a full application framework

Indexed from awesome-generative-ai and enriched against its public facts.

Pros

  • Self-hosted, no data sent to third parties by default
  • Supports both local models (Ollama) and remote APIs in one interface
  • Active open-source project with broad community adoption

Cons

  • Requires managing your own infrastructure and model downloads for local use
  • Performance depends on local hardware when running models locally
  • Limited to chat interface, not a full application framework

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