Open WebUI vs LibreChat: which fits your staff chat rollout
If you are choosing one self-hosted chat front end for staff, Open WebUI fits best when you run local models through Ollama, need an offline-capable design, or may exceed 50 users and want an enterprise license path. LibreChat fits best when you want an MIT-licensed, multi-provider interface, can rebrand freely, and already operate MongoDB-based services. Both are credible; the decision turns on a handful of concrete facts about your rollout. Start with user count and branding. The Open WebUI License forbids altering or removing Open WebUI branding in deployments above 50 users in any rolling 30-day period unless you hold an enterprise license or have written permission from the copyright holder. Count users over a 30-day window, not licensed seats, and ask legal whether internal staff who are not active users count toward that figure. LibreChat is MIT licensed, so branding is not a license constraint. Next, decide whether you need local models. Open WebUI is built around Ollama and runs entirely offline. LibreChat's README lists a wide set of cloud providers plus custom OpenAI-compatible endpoints, so it suits teams whose model mix is mostly hosted APIs. Finally, decide who will operate the stack. LibreChat's reference Docker Compose file adds MongoDB, Meilisearch and a separate RAG API service. Open WebUI's multi-replica setup needs PostgreSQL, Redis and shared file storage. LibreChat's latest tagged release on GitHub is v0.8.8, published on October 1, 2026 and marked as a pre-release. ClickHouse acquired LibreChat in November 2025 and said existing deployments continue unchanged. Confirm the release channel you will pin and the roadmap for the open-source project with the maintainers before you standardize on it.
Which team should pick which platform, by scenario
This table maps common team situations to the platform that fits better and the condition that makes that advantage apply. Read each row as a conditional recommendation, since the answer often changes with user count, branding needs and who will operate the stack.
| Scenario | Better fit | Why and the condition that applies |
|---|---|---|
| Small team under 50 users running local Ollama models | Open WebUI | Its Ollama-first design and offline-capable operation match this setup. The branding clause does not apply at 50 or fewer end users in a rolling 30-day period, so the free license covers this team. |
| Company-wide rollout above 50 users that must keep Open WebUI branding | Open WebUI | Keeping the branding unchanged at this size is allowed under the Open WebUI License. Altering or removing branding above the threshold needs an enterprise license or written permission from the copyright holder, so confirm which applies before rollout. |
| Rebranded internal assistant for staff | LibreChat | Under MIT terms, LibreChat has no branding restriction in its license. Open WebUI requires an enterprise license or written permission for white-labeling once the user count passes 50 in a 30-day window, so ask Open WebUI for terms if the assistant must look like your own product. |
| Organization that needs MIT terms and a wide cloud provider list | LibreChat | LibreChat is MIT licensed and its README lists Anthropic, AWS Bedrock, OpenAI, Azure OpenAI, Google and Vertex AI, plus custom endpoints. This fits when legal review favors MIT and staff need several cloud providers. Verify current provider support against the repository before committing. |
| Team without MongoDB experience | Open WebUI | LibreChat's reference compose file runs MongoDB, Meilisearch and a separate RAG API. Open WebUI needs PostgreSQL only for multi-instance scaling, so a single-instance deployment avoids a new database engine. Confirm your team's support path for PostgreSQL either way. |
| Air-gapped or offline deployment | Open WebUI | Open WebUI is documented as built to run entirely offline and connects to Ollama and OpenAI-compatible APIs. LibreChat's MongoDB, Meilisearch and RAG services must all be mirrored into the isolated network, so confirm every image and dependency works without outside access. |
| Team that wants a provider-first gateway with a broad cloud list and an existing MongoDB platform | LibreChat | An existing MongoDB operations practice lowers the effort of running LibreChat's reference stack. The advantage holds only if your team already backs up and upgrades MongoDB and Meilisearch on a routine schedule. |
| Shared chat for many staff with directory-based SSO and SCIM provisioning | Open WebUI | Open WebUI documents OIDC, LDAP and SCIM 2.0 provisioning with group-based RBAC. LibreChat documents OAuth2, LDAP and email login with an admin panel. Choose Open WebUI if automated SCIM lifecycle management is a requirement, and confirm the feature set against your identity provider. |
How Open WebUI and LibreChat are built and what that means for operations
Both platforms run as containers you host yourself, but their data stores and install paths differ in ways that shape day-two work. The cards below cover what each stack needs to run, what scaling adds, and which checks belong in your own environment before you choose.
Open WebUI install paths and database choice
Open WebUI supports Docker, Docker Compose, Kubernetes with Helm and a pip install followed by open-webui serve. A single instance can run on its default SQLite, but the scaling guide requires PostgreSQL for multi-instance deployments because SQLite handles concurrent writes from several processes poorly. Decide the database before go-live, since moving user and chat data later is extra work to plan and test.
Redis and shared storage for replicas
Running more than one Open WebUI replica adds two shared dependencies. Redis holds sessions, websocket connections and application state, and shared file storage keeps uploads and knowledge reachable from every replica. If either is missing, users can be logged out or see missing documents depending on which replica answers. Confirm your Redis and storage high availability model with your platform team before sizing the cluster.
LibreChat's reference compose stack
LibreChat's reference docker-compose file runs the app alongside MongoDB, Meilisearch for search and a separate RAG API service. That is four moving parts before any identity or vector store is added. Each service needs its own backup, upgrade and monitoring path, so the operations team should map which service owns which data and who restores it after an incident.
LibreChat Docker, Helm and cloud options
LibreChat documents deployment with Docker and with Kubernetes through a Helm chart, plus one-click cloud options such as Railway, Zeabur and Sealos. The one-click routes suit evaluation, but a regulated rollout should run the Docker or Helm path inside your own network. Before you adopt the chart, confirm its current maintenance status and pin chart and image versions in your own environment.
Operational effect of each data store
Open WebUI's operational load centers on its relational database and, for scale, Redis and shared files. LibreChat's centers on MongoDB, Meilisearch and the RAG API. For each store, record who backs it up, how restores are tested, what data it holds (chats, uploads, indexes or embeddings) and how long a rebuild of search or retrieval indexes would take. These answers, not the feature lists, drive the staffing decision.
Capability comparison: identity, retrieval, providers and agents
This table sets Open WebUI and LibreChat side by side on license, identity, retrieval, model providers, agents, code execution, search and offline operation. Where the published material does not settle a cell, the reader should confirm it with the project or in a test deployment before deciding.
| Capability | Open WebUI | LibreChat |
|---|---|---|
| License | Open WebUI License from v0.6.6 (April 19, 2025), with a branding clause; code through v0.6.5 remains BSD-3-Clause | MIT licensed, with no branding restriction in the supplied license facts |
| Identity and sign-in | OIDC, LDAP, SCIM 2.0 user and group provisioning, groups, per-resource permissions, API keys and authenticator-app MFA | OAuth2, LDAP and email login with an admin panel for users and configuration; confirm whether SCIM provisioning exists |
| Vector database support | 13 vector databases for retrieval, including ChromaDB, PGVector, Qdrant and Milvus, with hybrid BM25 and vector search | Retrieval runs through a separate RAG API service with Meilisearch for search; confirm which vector stores it supports beyond the reference setup |
| Model providers | Ollama, OpenAI, Anthropic and any OpenAI-compatible provider from one interface | Anthropic, AWS Bedrock, OpenAI, Azure OpenAI, Google and Vertex AI, plus Groq, Mistral, DeepSeek and custom OpenAI-compatible endpoints |
| Agents and MCP | Confirm the current agent and MCP tool support in the features documentation for your target version | Agents with MCP support, as listed in the LibreChat README |
| Code interpreter | Confirm the code execution options and their isolation in your target release | Sandboxed code interpreter, plus code artifacts for React, HTML and Mermaid |
| Web and message search | Confirm search features for your target release, including hybrid retrieval over knowledge bases | Message search and conversation import and export, listed in the README; Meilisearch backs search in the reference stack |
| Offline operation | Documented as built to run entirely offline, with Ollama for local models | Confirm offline behavior with the project, since the supplied facts do not describe it |
| Deployment methods | Docker and Docker Compose, Kubernetes with Helm, and pip install open-webui followed by open-webui serve | Docker and Kubernetes through a Helm chart, plus one-click options such as Railway, Zeabur and Sealos |
What the licenses allow and what is paid for
Open WebUI shipped under the BSD-3-Clause license through v0.6.5. Starting with v0.6.6, released on April 19, 2025, its code is distributed under the Open WebUI License, which adds a branding protection clause. Code merged through v0.6.5 remains BSD-3-Clause, so an older fork keeps those terms. The newer license matters most for how the interface looks to your users, not for how the software runs.
- Branding clause threshold: The license forbids altering or removing Open WebUI branding in deployments above 50 end users in any rolling 30-day period.
- Exit through written permission: The copyright holder can grant written permission to alter branding, which is a separate route from buying a license.
- Exit through enterprise license: An enterprise license allows white-labeling and custom branding, with dedicated support options.
- Enterprise pricing: Pricing is not published. You request a quote from enterprise sales with an expected seat count.
- Versions in use: Confirm which release your team deploys, since a v0.6.5 or earlier install falls under different terms.
Before you commit, confirm the seat count you expect to reach within 30 days, not just at launch, and get the enterprise quote scope in writing.
LibreChat is MIT licensed. The supplied facts do not describe a branding clause or a user-count threshold in its license, so the license terms for a company-wide rollout are simpler than Open WebUI's. MIT permits use, modification and redistribution with the copyright notice retained. The license does not tie any paid tier to the software, so your costs come from hosting, supporting and running it.
- License type: MIT, with no branding clause in the facts supplied for this comparison.
- Ownership change: ClickHouse announced on November 4, 2025 that it had acquired LibreChat.
- Continuity statement: ClickHouse said existing LibreChat deployments continue unchanged, with ongoing investment in the open-source project.
- Costs that remain: Your own infrastructure, MongoDB, Meilisearch, the RAG API service, staff time and any model provider charges.
- Commercial offering: Confirm with ClickHouse whether any commercial product or support terms apply to your deployment, since the supplied facts do not describe one.
Check the current LICENSE file in the repository and the ClickHouse announcement before you rely on the ownership statement in a procurement file.
The branding question applies to Open WebUI only, but it shapes the choice for both platforms. Internal use by fewer than 50 users in a rolling 30-day period avoids the Open WebUI branding clause, so an internal pilot or a small team can run without an enterprise license. Once staff counts or external users grow, or once the interface faces customers, the clause and its exits become the deciding factors. Your counsel should read the license text, not a summary.
- Internal pilot: A group under 50 users in any rolling 30-day period stays outside the clause, as an illustrative case for a single department.
- Company-wide rollout: Count active users across every region and business unit, not only the licensed headcount.
- Customer-facing use: Treat any external user access as a reason to review the clause before launch.
- Rebranding plans: If you plan to change logos or interface names, budget for an enterprise license or written permission before the change.
- Contract records: Keep the written permission or enterprise terms with your procurement records.
Before a customer-facing rollout, have counsel read the Open WebUI License text and confirm how your user count will be measured.
What drives the running cost of each platform
Running either chat front end costs more than the software license, which is free for both in most internal cases. The cards below separate one-time setup work from recurring hosting, staff time, model spend and license decisions, so you can ask each vendor or partner for the right line items.
Data services and replica infrastructure
Open WebUI's scaling guide requires PostgreSQL instead of SQLite for multi-instance deployments, and multiple replicas also need Redis and shared file storage. LibreChat's reference compose file runs MongoDB, Meilisearch and a separate RAG API service. Both add recurring hosting for stateful services, backups and storage growth. Ask for the number of containers, storage tiers and backup scope in any quote, and confirm which items your cluster already runs.
Operator skills and staff time
Most teams already operate PostgreSQL and Redis, so Open WebUI's dependencies usually fit existing runbooks. MongoDB and Meilisearch are often new to infrastructure staff, which raises onboarding time and on-call load. This is recurring staff time, not license cost. Ask whether your team can patch, back up and restore MongoDB and Meilisearch, or whether the work moves to a retainer.
Model spend and local hardware
Cloud model usage is billed by your provider account and recurs with use, and both front ends pass traffic through to whichever providers you configure. Open WebUI's offline design and Ollama support shift cost toward local GPU or CPU hardware, which is a one-time purchase plus power and cooling. Estimate usage per provider before choosing, and track token spend from day one.
Upgrades and pre-release risk
LibreChat's latest tagged release, v0.8.8, is marked as a pre-release, so teams pinning a version will carry upgrade testing into production. Open WebUI's releases, including v0.12.3, add recurring regression testing too. Budget staff time for each upgrade cycle, keep a staging environment and record the version you run in your change log.
Enterprise license above the threshold
Open WebUI's branding clause applies above 50 users in a rolling 30-day period unless you hold an enterprise license or written permission. Enterprise pricing is not published and is quoted after contacting sales with an expected seat count. This is a recurring cost only if you need to alter branding. Ask for the quote in writing, including renewal terms and what white-labeling and support are covered.
Implementation and support options
Setup, SSO integration, testing and documentation are one-time costs, usually fixed-scope. Ongoing patching and upgrades are recurring, either in-house or through a support retainer. LibreChat has no published enterprise support tier in the supplied facts, so confirm support options with the ClickHouse-owned project. Ask any implementation partner for a written scope listing one-time and recurring deliverables separately.
Where Open WebUI and LibreChat rollouts usually run long
Most delays in either rollout come from identity and provisioning, not from installing the containers. For Open WebUI, the decision is which of its documented paths to use: OIDC or LDAP for sign-in, and SCIM 2.0 for user and group provisioning. For LibreChat, the README lists OAuth2, LDAP and email login, so the team must decide how groups map to roles before any pilot users arrive. Group mapping is the step teams most often revisit: someone has to decide which directory groups become Open WebUI groups or LibreChat roles, who approves changes, and how removed employees lose access to stored chats and API keys. Ask each vendor, in writing, which provisioning and deprovisioning behaviors your identity provider supports, and test a leaver scenario before go-live.
Provider keys and model access policy are the second common source of rework. Both platforms can route to cloud providers such as OpenAI, Anthropic and Azure OpenAI, and to local models, so the team must settle who may use which model, where keys are stored, and how usage is capped. Open WebUI's Ollama-first design and LibreChat's broader provider list both make it easy to add a key quickly, which is exactly how uncontrolled access appears. Document and knowledge migration is the third area. Existing files, wiki exports and shared knowledge bases need a decision on format, owner, permissions and retention before they are loaded. If you plan to use a client-server vector database, confirm its support with the vendor and your own tests rather than assuming parity between the two platforms.
Branding, pre-release pinning and backup are the decisions that tend to surface late. Open WebUI's branding clause applies by user count and license tier, so a team that wants its own name on the interface should settle that before rollout, not after. On the LibreChat side, the latest tagged release, v0.8.8, is marked as a pre-release, so a production team needs an explicit decision on whether to pin a version and how it will test upgrades. Backup and restore must cover every data store each platform uses: for Open WebUI, the database, shared file storage and any Redis state in a multi-replica setup; for LibreChat, MongoDB, Meilisearch indexes and the RAG API data. Run a full restore test into a clean environment before go-live. DeployOpen works on fixed scope agreed in writing before work starts, so the timeline depends on the scope you define, including identity, models, data migration and backup, not on a fixed number of days.
Moving staff from one chat front end to the other
This sequence moves a team from one self-hosted chat front end to the other without assuming that users, history, providers or permissions copy across unchanged. It produces a tested replacement that staff can use, and a retired system with its data accounted for.
Export and map users and groups
Start by listing every active user, their group memberships and the roles they hold on the current platform. Export what the current identity source and admin panel allow, then map each existing group to a group or role on the target platform. Your identity team should own the mapping, and the platform owner should review it. You know this step is done when every active user has a target group and every group has a named owner, with unmapped accounts listed as exceptions for review.
Decide what history and knowledge transfer
Decide which conversation history, uploaded files and knowledge collections the business needs to keep. No supplied fact confirms a chat history import path between Open WebUI and LibreChat, so confirm the export and import options for each platform with its current documentation before you promise anything to staff. Where no path exists, plan to archive old transcripts read-only and re-index knowledge documents into the new platform. The output is a signed-off list of data to keep, archive or discard.
Rebuild provider and model configuration
Recreate the model providers, custom endpoints and default models on the target platform. Do not copy configuration files between the two products, since their settings, key storage and model naming differ. Record each provider's credentials in your secrets store, confirm which models each group may use, and test one request per provider from the new environment. The check is a documented list of working providers and models, each tested with a non-production key before any user relies on it.
Rebuild identity integration and permissions
Configure single sign-on, group sync and role assignments on the target platform. Open WebUI documents OIDC, LDAP and SCIM 2.0 provisioning, and LibreChat documents OAuth2, LDAP and email login with an admin panel, so verify each option against the version you deploy. Rebuild access rules for knowledge bases and tools from scratch, since permissions do not carry over as a set. Test a login and a restricted action for each role. The step closes when every test account reaches only the resources its group allows.
Pilot with one group
Choose a small, willing group that uses the platform daily and has a clear contact for feedback. Give them the new address, a short guide on what moved and what did not, and a defined channel for reporting problems. Track login failures, missing models, missing files and any answer that differs from the old platform. Fix the issues found, then repeat the pilot with a second group if the first surfaced significant gaps. The pilot is complete when the owner signs off on the issue log.
Cut over and retire the old stack
Announce a cutover date, switch users to the new platform, and keep the old instance read-only for the agreed archive window. Make a final backup of the old database and file storage, store it under the retention rules your compliance team set, and then shut down the old containers and remove their secrets. Confirm with the vendor and your own records how long each platform's data should be kept before deletion. The retirement is complete when the backup is verified, access is removed and the decommission record is filed.
Questions buyers ask before choosing Open WebUI or LibreChat
What does a self-hosted Open WebUI or LibreChat rollout cost?
No vendor fee applies to either platform's code: Open WebUI is distributed under the Open WebUI License and LibreChat under MIT, so the costs are the infrastructure, the people who operate it and any paid engagement. Infrastructure costs recur and depend on user count, model hosting and storage. Open WebUI's enterprise license is quoted after contacting its sales team with an expected seat count, and no price is published. DeployOpen does not publish a price list either. A quote follows from a written scope, so ask each party for the components it covers, which items are one-time and which recur, and the assumptions behind the user count.
How long does a rollout take, and what sets that timeline?
The timeline depends on the number of user groups, the identity integration, the model providers in scope and how much branding or customization is required. Neither platform's documentation supplies a duration, so ask for a timeline in the written scope rather than relying on a generic figure. Multi-instance Open WebUI needs PostgreSQL, Redis and shared file storage in place before go-live, and LibreChat's reference stack adds MongoDB, Meilisearch and a RAG API service. Each added dependency adds validation work.
What does the team have to supply before the work starts?
Plan on providing four things: access to the identity provider, a named database owner, an operator who controls the Docker or Kubernetes environment, and a decision on where models run. Open WebUI documents OIDC, LDAP and SCIM 2.0 provisioning, and LibreChat documents OAuth2, LDAP and email login, so the identity team must confirm which protocol and group model applies. A database owner is needed because Open WebUI requires PostgreSQL for multi-instance deployments. An operator is needed for Docker Compose or the Helm chart in either case.
Can an internal IT team run either platform alone?
A small team with Docker experience can run a single-instance deployment of either platform, provided it keeps the upgrade cycle and backups in its own hands. A multi-replica Open WebUI deployment or a LibreChat stack with MongoDB, Meilisearch and the RAG API adds more components to patch and monitor. Teams without an operator for these services often bring in an implementation partner for the first build and the hardening, then keep the upgrades in-house. DeployOpen offers ongoing support and upgrades as retainers, which is one option to weigh against an internal staffing plan.
When does the Open WebUI 50-user threshold apply?
The branding protection clause applies to deployments that exceed 50 end users in any rolling 30-day period. Below that level, you may alter or remove Open WebUI branding without a separate license. Above it, you must keep the branding unless you hold an enterprise license or written permission from the copyright holder. The clause applies to code from v0.6.6 onward, so code through v0.6.5 remains BSD-3-Clause. Count end users in each rolling window, not only named accounts, and confirm the interpretation with counsel before you rely on it.
Do we need an enterprise license for internal use?
Internal use under the 50-user level does not require an enterprise license, and the branding clause only restricts changes to branding. Above 50 users, the clause still permits internal use with the branding intact, so the license question is about rebranding rather than deployment. An enterprise license is needed if you want to white-label or customize the branding beyond that limit. Ask Open WebUI for the license terms in writing and confirm how the 30-day count applies to your user population.
How do we rebrand the chat front end, and which license does it need?
Rebranding is governed by the Open WebUI License, not by the platform's technical options. Under the clause, you may alter or remove branding if the deployment has no more than 50 end users in a rolling 30-day period, if the copyright holder grants written permission, or if you hold an enterprise license, which the Open WebUI documentation says allows white-labeling and custom branding. LibreChat is MIT licensed, so its branding terms are looser, but you should still confirm the terms with ClickHouse as the current owner and review any upstream notices before you publish a modified build.
Will DeployOpen recommend one platform over the other?
DeployOpen will give a recommendation based on the written requirements gathered during scoping, including the user count, the rebranding needs, the identity integration and who will operate the platform. Both platforms are self-hosted inside your infrastructure, and DeployOpen does not have a preferred vendor for this comparison. The fit can change with scope, so we ask for the decision inputs before stating a view. If a deployment has no clear winner, the assessment will say so and list what to check first.
How DeployOpen helps teams choose, implement or migrate
DeployOpen plans, implements, customizes, integrates, hardens, documents and supports self-hosted open-source platforms inside your own infrastructure. For Open WebUI vs LibreChat, we start by confirming which license terms, identity model and model providers your organization actually needs, then turn that decision into a written scope before any work begins.
How we scope
- Confirm the user count, rebranding needs and the 50-user threshold position before choosing an edition path.
- Map which model providers, Ollama hosts and cloud endpoints staff will use, and where the data may flow.
- Agree in writing which identity method, such as OIDC, LDAP or OAuth2, and which MFA approach apply.
- Define who will operate the platform after handover, since LibreChat's MongoDB and Meilisearch stack differs from Open WebUI's database needs.
How we build
- Deploy the chosen chat front end with Docker, Docker Compose, Kubernetes or Helm inside your cloud account, data center or air-gapped network.
- Configure SSO, role-based access, provider connections and retrieval settings to match the written scope.
- Test authentication, access controls and provider routing before users see the platform.
- Document configuration, backups and upgrade steps so your team can repeat them without DeployOpen present.
How we hand over
- Deliver architecture notes, configuration records and runbooks that name every service the platform depends on.
- Walk your operators through routine tasks such as user provisioning, backups, restores and version upgrades.
- Record the license position and any branding or enterprise-license decision in the handover documents.
- Provide evidence for compliance assessments, while independent auditors and certification bodies issue any formal reports.
How we support
- Ongoing support, upgrades and continuous testing are available as a retainer agreed in writing.
- Review each new Open WebUI or LibreChat release against your configuration before scheduling an upgrade window.
- Re-check license terms and provider changes when user counts, branding or model sources change.
- Quotes follow from the written scope, so ask for the scope and deliverables that drive the price.
