# Open WebUI vs LM Studio: an open-source chat UI or a desktop app

> LM Studio runs local models in a desktop app on one machine, while Open WebUI is a self-hosted chat interface a whole team shares. When the work has to be shared and reviewed, Kortix, the open-source AI Operating System, runs the agents and lands each change for a person to read.

URL: https://openwebuialternative.com/open-web-ui-vs-lm-studio

## LM Studio, Open WebUI and Kortix at a glance

LM Studio runs models on one machine, Open WebUI serves a shared chat to a team, and Kortix is the open-source system that runs the agents.

| | Kortix (recommended) | LM Studio | Open WebUI |
| --- | --- | --- | --- |
| What it is | The open-source AI Operating System, built for agent work | A desktop app that runs local models on your computer | A self-hosted chat interface a team shares on a server |
| Open source | Yes, read it, fork it, audit it | No. The app is not open source; its CLI and SDKs are | Yes |
| Where it runs | Kortix Cloud, your VPC, or your own on-prem network | One Mac, Windows or Linux desktop machine | Your own server, or its desktop app |
| Who it serves | People and agents, with roles and an audit trail | One person at that machine | Multi-user accounts on one shared deployment |
| Does the work run | Agents take real actions and land a change request you review | Bionic edits files and runs local agent tasks | Chat turns, plus Open Terminal for execution |
| Where the setup lives | Files in a git repo you own, diffable like code | Local chat history, prompts and models | Admin settings and environment variables on the server |
| Model sources | Any model provider with your own keys | Local GGUF and MLX models, plus its cloud catalog | Ollama, OpenAI-compatible APIs, and more |
| How a team reaches it | Web, Slack, Microsoft Teams, or the CLI | One desktop app on each person's machine | A shared URL on your own network |

The LM Studio and Open WebUI columns reflect their own pages, checked October 2026.

## The repo is where the team’s setup lives

`kortix.yaml`

```yaml
agents:
  release-bot:
    file: agents/release-bot.md
    connectors: [github]
    kortix_permissions: [project.gitops.push]
    secrets: [GITHUB_AGENT_TOKEN]
```

Source: https://kortix.com/docs/project/manifest

An agent’s reach, its git permission and its secret are declared in `kortix.yaml` in the repo you own.

## A desktop app and a self-hosted chat UI solve different problems

LM Studio and Open WebUI both run models on hardware you control, and they get compared because of that. The resemblance ends at the install. LM Studio is a desktop application for macOS, Windows and Linux: it downloads and runs local models, offers a chat interface, serves them on OpenAI-compatible endpoints, and connects MCP servers ([LM Studio's docs](https://lmstudio.ai/docs)). Open WebUI is a self-hosted platform: one deployment on a server with per-user accounts, retrieval over your files and plugins, reached through a shared URL ([Open WebUI's docs](https://docs.openwebui.com)). LM Studio serves the person at that machine, and Open WebUI serves a group through one deployment.

## What each one is good at

[LM Studio's docs](https://lmstudio.ai/docs) list what you can do with it: download and run local LLMs, use a flexible chat interface, connect MCP servers, search and download models from Hugging Face, serve local models on OpenAI-like endpoints, and manage local models, prompts and configurations. Its runtime uses llama.cpp for GGUF models and MLX on Apple Silicon. The current release also ships an agent, Bionic, which LM Studio markets for documents, coding, automations and computer control, with local voice transcription and optional frontier open models in LM Studio Cloud ([LM Studio's site](https://lmstudio.ai), checked October 2026).

[Open WebUI's docs](https://docs.openwebui.com) describe a self-hosted platform built to run entirely offline, with support for Ollama and OpenAI-compatible APIs. It adds accounts and groups, retrieval over your own files, and a wide plugin and tool ecosystem. Open Terminal gives an agent a terminal and filesystem inside the chat, and Terminals gives each user an isolated environment on a team deployment.

## Where the team decision turns

A desktop app and a server deployment are two answers to where the software runs, and a team usually hits the wall in the same place: the work has to be shared, versioned and approved. A desktop app keeps its history, prompts and models on one machine. A chat deployment keeps its settings and users in the application's own database. Neither turns an answer into a change a reviewer can read.

Kortix answers that question by putting the configuration in git. Agents and skills are markdown files, `kortix.yaml` declares the connectors and triggers, and each session runs on its own cloud computer and branch. The work reaches `main` through a change request a person reads first, and merge is default-deny for agents ([Kortix docs](https://kortix.com/docs)).

## Choosing between them

Pick LM Studio when one person wants to run and chat with local models on their own machine, with a local server and MCP tools. Pick Open WebUI when a team wants a shared, self-hosted chat and document window over local and API models. Pick Kortix when the output has to be finished work: agents that use your tools, return deliverables you keep, and land each change for review on infrastructure you choose.

Kortix works with any model provider with your own keys, so a team can keep running local models. What changes is what the team owns: agents, memory and connectors in one repo, and a reviewed change for every update.

## Questions about Open WebUI and LM Studio

### Is LM Studio the same as Open WebUI?

No. LM Studio is a desktop application for running local models on one computer. Open WebUI is a self-hosted platform a team reaches through a shared URL. Both put a chat window over models, but one serves a machine and the other serves a group.

### Can Open WebUI run without LM Studio?

Yes. Open WebUI connects to Ollama and to any OpenAI-compatible API, so it does not depend on LM Studio. Its docs describe it running offline with local models and on a server for a team.

### Does LM Studio need a server?

No. LM Studio installs as a desktop app for macOS, Windows and Linux and runs models on the local machine. Its docs also cover a headless mode for servers. Open WebUI is the opposite shape, a shared deployment on a server.

### What does Kortix add on top of them?

A place for the work to run and land. Kortix is open source, with agents, skills, memory and connectors in one git repo you own. Each session runs on its own cloud computer, and the work reaches main through a change request a person reviews.

## Run your whole company from one repo you own.

Start with one job and grow from there.

[Try Kortix](https://kortix.com) · [Kortix vs Open WebUI](https://openwebuialternative.com/kortix-vs-open-webui)