Key differences, specifications and fit guidance for LibreChat and Open WebUI, compiled from official documentation and the iThub profiles.
LibreChat brings multiple AI providers, custom agents, file interactions, and conversation management into a self-hosted web interface with multi-user access controls.
Open WebUI is a self-hosted AI platform that runs offline and connects to local models through Ollama or to OpenAI-compatible APIs.
Pick Open WebUI if your priority is a private interface for local models through Ollama that can run fully offline, and pick LibreChat if you mainly connect many hosted providers such as Anthropic, OpenAI, Azure, Bedrock and Google under an MIT licence. Both are self-hosted, multi-user chat and agent workspaces with MCP tools, RAG and Docker deployment. The deciding factors are licensing and model mix: Open WebUI's licence requires keeping its branding above 50 users unless you hold an enterprise licence, while LibreChat's MIT licence has no such condition.
Choose LibreChat ifShortlist LibreChat when your users need many hosted providers such as Anthropic, OpenAI, Azure, Bedrock and Google in one interface, and you want MIT licensing without a branding condition.
Shortlist Open WebUI when you run local models through Ollama, need an interface that can work entirely offline, and accept keeping the Open WebUI branding or buying an enterprise licence.
| Aspect | LibreChat | OWOpen WebUI |
|---|---|---|
| Licence terms | LibreChat is released under the MIT License, which allows use, modification and redistribution without a branding condition or user threshold. | The Open WebUI License prohibits altering or removing Open WebUI branding unless the deployment stays at or below 50 end users in a rolling 30 days, or you have permission or an enterprise licence. |
| Model connections | LibreChat has native support for Anthropic, AWS Bedrock, OpenAI, Azure OpenAI, Google and Vertex AI, plus any OpenAI-compatible API without a proxy. | Open WebUI connects local models through Ollama and local or cloud models through OpenAI-compatible APIs, and is built to run entirely offline. |
| Installation options | LibreChat supports Docker, proxy and reverse proxy setups, and can run completely locally or be deployed in the cloud. | Open WebUI installs with Docker, pip or Kubernetes, and a desktop app runs it natively without Docker or manual setup. |
| Users and identity | LibreChat offers multi-user login with OAuth2, LDAP and email, and a browser-based admin panel for users, groups, roles and configuration. | Open WebUI is multi-user with roles, user groups and per-model access, plus SSO, OIDC and LDAP federation and SCIM 2.0 provisioning. |
| Agents and tools | LibreChat agents use MCP servers, tools, file search and code execution, with a sandboxed code interpreter for languages including Python, Go and Java. | Open WebUI uses MCP tool servers through the mcpo proxy, and Open Terminal gives agents a real terminal and filesystem for multi-step work. |
| Scaling model | LibreChat works from single-server setups to horizontally scaled deployments coordinated with Redis. | Open WebUI uses a stateless architecture for horizontal scaling on Docker, Kubernetes, pip or bare metal. |
| Knowledge and documents | LibreChat agents use file search over uploaded files, and conversations can be imported from LibreChat, ChatGPT and Chatbot UI. | Open WebUI knowledge bases offer vector search for large collections or full-content injection when precision matters. |
From the iThub profiles. “Not recorded” means the profile does not confirm it. Confirm prices and editions with each vendor.
| Attribute | LibreChat | OWOpen WebUI |
|---|---|---|
| Starting price | See vendor pricing | See vendor pricing |
| API | Yes | Yes |
| Founded | Not recorded | Not recorded |
| Headquarters | Not recorded | Not recorded |
| GitHub stars | 46.8K ↗ | 157.9K ↗ |
| Documentation | Official docs ↗ | Official docs ↗ |
LibreChatLibreChat is an open-source AI chat platform that connects to multiple model providers, local models, and OpenAI-compatible endpoints. Users can switch models during conversations, reuse presets, search message history, and import or export chats. It also supports file-based conversations, image generation, speech features, and interactive code artifacts.
The platform can run locally or in the cloud, with Docker Compose among its deployment options. Administrators can manage users, groups, roles, and configuration through a browser-based panel. Custom agents can use MCP servers, file search, code execution, and reusable instruction bundles. Some capabilities, including attached code workspaces and agent plugins, are explicitly described as experimental.
Open WebUI is a self-hosted AI interface that connects local models through Ollama and local or cloud models through OpenAI-compatible APIs. It brings conversations, knowledge bases, prompts and tools into a shared workspace. Its tabbed interface can keep files, previews, artifacts and terminal sessions alongside a conversation.
Deployment options include Python installation, Docker and a separately installed desktop app for Windows, macOS and Linux. The platform is designed to support entirely offline operation, but this requires local model services and appropriately configured dependencies. The lightweight container image instead uses external services for embeddings, document extraction and voice.
Open WebUI and LibreChat are both self-hosted, multi-user interfaces for chatting with models and running agents, so the difference lies in emphasis and licence. Open WebUI centres on local models through Ollama and offline operation, with a licence that protects its branding above 50 users. LibreChat centres on connecting many hosted providers and OpenAI-compatible endpoints under the MIT License. Start by listing your model providers and how you plan to brand and distribute the interface.
List the model providers and local models you must support, the number of users, your identity provider, and whether you plan to rebrand or redistribute the interface. Have legal review both licences against that plan, then compare the admin effort needed to keep each deployment patched and configured.
Deploy both with Docker Compose on the same server, connect one local Ollama model and one hosted provider, and link your identity provider. Have five users run the same tasks: a chat with an uploaded document, an MCP tool call and an agent task. Record setup time, answer quality, permission control and upgrade steps.
Open WebUI's source code is public, but its licence adds a branding condition. Licensees may not alter or remove the Open WebUI branding unless the deployment has no more than 50 end users in a rolling 30-day period, they have written permission, or they hold an enterprise licence. LibreChat, by contrast, uses the MIT License without that condition.
Both are self-hosted, multi-user AI chat workspaces. Open WebUI starts from local models through Ollama and is built to run entirely offline, while LibreChat focuses on connecting many hosted providers such as Anthropic, OpenAI, Azure, Bedrock and Google alongside OpenAI-compatible endpoints. Licensing also differs: LibreChat is MIT-licensed, and Open WebUI has a branding clause.
Yes. Open WebUI connects local models through Ollama directly and also supports OpenAI-compatible APIs. LibreChat connects to local models as well as hosted providers, and can use any OpenAI-compatible API without a proxy. For a fully offline setup, Open WebUI documents that design goal explicitly, but it needs local model services configured.
Yes. Open WebUI supports SSO, OIDC and LDAP federation with any identity provider, roles and groups, and SCIM 2.0 provisioning. LibreChat supports multi-user authentication with OAuth2, LDAP and email login, and its admin panel manages users, groups, roles and configuration in the browser. Test your own identity provider with each before rollout.
Yes. LibreChat agents can use MCP servers, tools, file search and code execution. Open WebUI can use any MCP tool server through mcpo, an MCP-to-OpenAPI proxy, and Open Terminal gives agents a real terminal and filesystem. Some LibreChat agent features, such as attached code workspaces, are labelled highly experimental.
Both document horizontal scaling. Open WebUI describes a stateless architecture on Docker, Kubernetes, pip or bare metal, with shared databases and Redis coordinating instances. LibreChat says it works from single-server setups to horizontally scaled deployments with Redis. Load test with your own user count and models before choosing.
Facts on this page come from these official pages, checked on , and from the iThub profiles. Vendors change plans and features: confirm with them before buying.
