Choose Open WebUI when
You run local models and want the smoothest Ollama experience. Model pulls, switching, and per-user document workspaces are the parts it does best.
View Open WebUI hosting →Comparison · Self-hosted AI chat
LibreChat vs Open WebUI both self-hosted, different centres of gravity.
Both give a team a private ChatGPT-style interface over models you choose, and both run on the same class of plan — 2 GB memory and 1 vCPU minimum on Darwa. They differ in what they optimise for: Open WebUI grew up around local models and Ollama, while LibreChat is built around many hosted providers at once, agents, and MCP tooling.
- 2 GB
- Minimum memory, both
- Ollama
- Open WebUI's home ground
- MCP
- LibreChat's tooling layer
- Multi-user
- Both support teams
The same job, approached from opposite ends.
Pick by which side of the work matters more: running models yourself, or orchestrating many providers and tools from one workspace.
Choose LibreChat when
You want many hosted providers side by side in one workspace, plus agents, MCP tool servers, and per-conversation model switching.
View LibreChat hosting →Model coverage
LibreChat is built around multi-provider use. Open WebUI supports hosted APIs too, but its defaults and documentation lean toward local inference.
Compare all agents →Tools and MCP
LibreChat treats Model Context Protocol servers as a first-class feature, so a capability added once is available across conversations.
View LibreChat hosting →Documents and RAG
Both do retrieval over uploaded files. Open WebUI's per-user workspaces suit individuals; LibreChat's setup suits shared team assistants.
Compare AnythingLLM →Storage
LibreChat asks for more room on Darwa — 20 GB against 10 GB — because conversation history and attachments accumulate faster.
See plan resources →What actually changes between the two.
Both are actively developed and genuinely good. These are the dimensions that decide it.
Local models01
Open WebUI is the stronger pairing with Ollama and self-hosted inference. If the point is running models on your own GPU, start there.
Multiple providers02
LibreChat is designed for several hosted providers at once, which suits teams comparing outputs or routing by cost.
Agents and tooling03
LibreChat's agent and MCP support is more developed. Open WebUI has tools and pipelines but a narrower tooling ecosystem.
Resource needs04
Both start at 2 GB memory and 1 vCPU on Darwa. LibreChat wants 20 GB storage against Open WebUI's 10 GB.
Interface05
Open WebUI is often described as the closer ChatGPT clone. LibreChat exposes more configuration, which is power or clutter depending on the team.
Neither is wrong06
Plenty of teams run both: Open WebUI for local model work, LibreChat as the shared multi-provider workspace.
Products, plans, and regional guidance.
LibreChat hostingManaged LibreChat with one-click deploy.→Open WebUI hostingManaged Open WebUI with one-click deploy.→AnythingLLM hostingIf private document RAG is the priority.→All AI agentsEvery supported agent application.→Dify vs LangflowIf you are building flows rather than chatting.→PricingPlans, terms, and renewal pricing.→
Answers before you deploy.
Is LibreChat or Open WebUI better?+
Neither is better outright. Open WebUI is the stronger choice when you run local models through Ollama and want per-user document workspaces. LibreChat is stronger when you want several hosted providers in one place plus agents and MCP tool servers. Both are actively maintained and both run on the same 2 GB, 1 vCPU minimum on Darwa.
Can both connect to local models?+
Yes, but Open WebUI is the more natural fit. Its Ollama integration is a core feature rather than one option among many, so pulling and switching local models is smoother there.
Which supports MCP?+
LibreChat treats Model Context Protocol servers as a first-class feature, so a tool server added once works across conversations. Open WebUI has its own tools and pipelines system with a smaller ecosystem.
How much memory do they need?+
Both need at least 2 GB of memory and 1 vCPU. LibreChat asks for 20 GB of storage against Open WebUI's 10 GB, because conversation history and attachments accumulate faster. Note that memory needs rise with concurrent users and with large document collections.
Can several people use one instance?+
Yes. Both support multiple accounts on a single deployment. Size the plan for peak concurrent use rather than total registered users, since idle accounts cost nothing while simultaneous conversations consume memory.
Do I need a GPU?+
Not to run either interface, and not at all if you use hosted model APIs. A GPU only matters if you are running local inference, which sits alongside these tools rather than inside them.
Can I run both?+
Yes, as separate deployments. Teams often run Open WebUI for local model experimentation and LibreChat as the shared workspace over hosted providers.