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Best Self-Hosted ChatGPT Alternatives for an AI Business

Published Oct 27, 2026 ⦁ 12 min read

How to choose a self-hosted ChatGPT alternative: Open WebUI, LibreChat, LobeHub, AnythingLLM, Dify and Aikeedo compared on license, billing and branding.


"Self-hosted ChatGPT alternative" means two different things. For an internal team, it means a private chat interface on your own server. For a founder, it means a product you can put your own name on and charge other people to use.

Most lists of the best self-hosted AI chat tools mix those goals together, and end up recommending projects that were never designed to be resold. This guide is written for people who want to run an AI business on self-hosted software, and it starts with the questions that decide whether a tool can carry one.

We make Aikeedo, so we are not a neutral party. We have tried to keep the comparison factual, to check every claim about the other tools against their own licenses and documentation, and to say plainly where Aikeedo is the wrong choice.

What to check before you pick a self-hosted ChatGPT alternative

A chat interface is the easy part. Every tool in this guide can show a conversation, stream a model's reply and let you switch models. The differences that matter for a business sit underneath.

1. The license, read for your use case. "Open source" covers a wide range of terms. Some licenses let you do anything, including rebranding and reselling. Others are open for internal use but restrict branding, multi-tenant hosting or derivative works. Read the actual license file, not the badge on the README.

2. End-user billing. If you want people to pay you, something has to take their payment, assign them a plan, meter their usage and stop them when they run out. Usage tracking and spending limits are not the same thing as billing. Check whether the tool can charge a customer, not just count their tokens.

3. White-label rights. Can you replace the name, logo, colors, emails and domain so your customers only see your brand? Is that allowed by the license, and at what scale?

4. Multi-provider support. Model prices and quality change every few months. Support for several providers, and local models, lets you move without a rebuild.

5. Who it was built for. A tool for a company's own employees assumes trusted users. A tool for paying strangers needs signup, plans, quotas, a landing page and an admin panel a non-developer can run.

6. What you will build yourself. Every gap in the list above becomes your engineering project. Price that work honestly before you compare license costs.

If you want a longer version of this checklist, our self-hosted AI platform buyer's guide walks through each area in more depth.

Comparison table

This table summarizes each tool against the criteria above. "None documented" means we could not find the feature in the project's own documentation or license as of October 2026; it may be possible to add with custom development.

ToolLicenseEnd-user billingWhite-labelMulti-providerDesigned for
Open WebUICustom license with a branding clause (BSD-3-Clause up to v0.6.5)None documentedOnly for 50 or fewer users in 30 days, or with an enterprise licenseYes, including Ollama and OpenAI-compatible APIsPrivate AI chat for a team or company
LibreChatMITToken balance and refills, no paymentsAllowed by MITYes, broad, plus custom endpointsDevelopers building on an open codebase
LobeHub (LobeChat)LobeHub Community License (Apache 2.0 base)None documented for self-hostingDerivative works need a commercial licenseYesIndividuals and power users
AnythingLLMMITNone documentedCustom themes and white-labeling in the Docker versionYes, including local modelsChatting with your own documents
DifyDify Open Source License (Apache 2.0 base)None documentedLogo in the console and apps must stayYesBuilding AI apps, agents and workflows
AikeedoCommercial, with full source codePlans, credits, top-ups, Stripe and PayPal built inYes, on every licenseYes, including OllamaSelling an AI workspace to subscribers

Open WebUI

Open WebUI is a self-hosted AI interface. It runs Ollama, OpenAI, Anthropic and any OpenAI-compatible provider from a single interface, and it ships with a knowledge base, role-based access control, user groups and per-model permissions. Its admin side includes usage dashboards with token consumption and cost tracking.

The license is the part to read carefully. Code up to v0.6.5 remains BSD-3-Clause. From v0.6.6, the project uses its own license with a branding protection clause, which the project itself describes as not an OSI-approved open source license. You may not remove or change the Open WebUI name or logo unless your deployment has 50 or fewer users in a 30-day period, or you hold an enterprise license that allows branding changes.

Its documentation does not describe subscription plans or payments for end users.

Designed for: a private, internally run AI chat for a team or company, including local models. Not designed for: a branded, paid product for the public; that would need an enterprise license and a billing layer built on top. Our Open WebUI vs Aikeedo comparison goes feature by feature.

LibreChat

LibreChat is an MIT-licensed chat interface with support for many providers: OpenAI, Anthropic, Google, Azure OpenAI, AWS Bedrock and Vertex AI, plus custom OpenAI-compatible endpoints for Ollama, Groq, Mistral, OpenRouter, DeepSeek and others. It also offers agents, tools and MCP support.

The MIT license is the most permissive in this list. You can rebrand it, modify it and run it commercially.

For a business, the gap is payments. LibreChat has an optional balance feature that tracks token credits per user, with a starting balance and scheduled refills. Its documentation does not describe a way for users to buy credits or subscribe to a plan. To sell access, you would build the checkout, plans, renewals and customer management yourself.

Designed for: developers and teams working on an open codebase who write the business layer themselves. Not designed for: charging customers out of the box; that is a development project before the first sale. See LibreChat vs Aikeedo for the full breakdown.

LobeHub (formerly LobeChat)

LobeHub, the project previously known as LobeChat, is an AI chat and agent workspace that supports many models and providers. It can be self-hosted with Docker or deployed to platforms such as Vercel, and the company also runs a hosted cloud version with its own paid plans.

Its license is the LobeHub Community License, built on Apache 2.0 with one key condition: commercial use of the unmodified software is allowed, but developing and distributing a derivative work requires a commercial license from LobeHub. Rebranding and changing the product to sell under your own name falls under that commercial license.

We found no documented billing for self-hosted operators to charge their own users.

Designed for: individuals and power users who want a personal AI workspace. Not designed for: a modified, rebranded resale product without a separate commercial agreement. See the LobeChat vs Aikeedo comparison for the row-by-row detail.

AnythingLLM

AnythingLLM, from Mintplex Labs, is MIT-licensed and built around chatting with your own documents. It runs as a desktop app on Mac, Windows and Linux, or as a Docker server. It supports a long list of providers, including OpenAI, Anthropic, Google Gemini, AWS Bedrock, Mistral, Groq and OpenRouter, plus local options such as Ollama, LM Studio and a built-in local engine.

The Docker version adds multi-user mode with admin, manager and default roles, and custom color themes with white-labeling.

Its documentation does not describe payments, plans or per-user usage limits.

Designed for: a private, document-heavy assistant for an individual or organization, including fully local setups. Not designed for: a public SaaS where strangers sign up and pay. See the AnythingLLM vs Aikeedo comparison for the row-by-row detail.

Dify

Dify is a different kind of tool. It is an open-source platform for building LLM applications: a visual canvas for agentic workflows, a RAG pipeline, agents with tools and MCP servers, prompt tooling, logs, and APIs for every app you build. It can be self-hosted with Docker Compose, used as Dify Cloud, or licensed as an enterprise edition.

The license is the Dify Open Source License, based on Apache 2.0 with additional conditions. Two matter here. Unless Dify authorizes it in writing, you may not use the source code to operate a multi-tenant environment, where a tenant is one workspace. And when you use Dify's frontend, you may not remove or modify the logo or copyright information in the console or applications.

Dify's pricing covers its own cloud plans, not billing for your end users.

Designed for: teams building AI-powered apps, internal tools and workflows, often as a backend for other products. Not designed for: running one shared, rebranded platform where many customers each get their own workspace, without a commercial agreement. See the Dify vs Aikeedo comparison for the row-by-row detail.

Aikeedo

Aikeedo is a self-hosted PHP application for launching your own AI SaaS. It is not open source: you buy a commercial license and get the full source code. It is sold as Aikeedo Core at $99/month, All-Access at $799/year with every marketplace add-on, or a $1,499 one-time Commercial License. Every plan lets you charge your users and keep all of the revenue. Full terms are on the pricing page.

What it does differently is the business layer. Plans and credits support monthly, yearly, lifetime and one-time billing, credit packs, top-ups, trials and a fallback plan when a subscription ends. Stripe, PayPal, bank transfer and manual payments are built in, with regional gateways and tax engines available as add-ons. Customers pay you through your own payment accounts.

White-labeling covers the name, logos, colors, emails, domain and a built-in landing page you can turn off. On the AI side, Aikeedo connects directly to OpenAI, Anthropic, xAI, Cohere, Ollama, fal.ai and others with your own keys, and it covers chat, image, video, voice and transcription tools rather than chat alone. Teams get workspaces with shared credits.

Designed for: a founder or agency that wants to sell a branded AI workspace to subscribers and start charging without building billing first. Not the right choice when:

  • You only need a free internal chat for your own team. Aikeedo's billing, plans and subscriber tools would go unused, and you would still pay for a license.
  • You want a visual workflow and agent builder. Aikeedo does not include a workflow canvas.
  • You want fully open-source code under a permissive license. Aikeedo is commercial software that ships with full source code, not an open-source project.
  • You do not want to run a server at all. Aikeedo is self-hosted, so you need PHP 8.2+ hosting with MySQL and someone to look after it.

How to choose

If you are building for yourself or your company, Aikeedo's business layer adds little, and the open-source tools differ mainly in focus. Open WebUI centres on team chat with local models, AnythingLLM on chatting with your own documents, LibreChat on an MIT codebase with many providers, and LobeHub on a personal workspace.

If you are building AI apps or workflows that other systems call, that is Dify's focus rather than Aikeedo's. Its multi-tenant condition applies if you plan a shared platform.

If you are building a business that sells AI access, weigh three costs together:

  1. License terms. Can you legally rebrand and resell it at the scale you plan? Open WebUI and Dify have conditions that need an enterprise or written agreement for this. LobeHub needs one for derivative works. LibreChat and AnythingLLM are MIT.
  2. The billing layer. None of the open-source tools here documents end-user payments. Building plans, checkout, renewals, credits and a customer admin is typically the largest part of a SaaS, and the part that has to be right before your first customer pays.
  3. Ongoing upkeep. A fork you have modified heavily is yours to keep in sync with upstream changes.

If the honest answer is that you would rather spend your time on customers than on billing code, a commercial white-label platform is the shorter path. Our guide to white-label AI platforms covers that category, including hosted services and CodeCanyon scripts, in more detail. The white-label ChatGPT page shows what launching one with Aikeedo looks like.

The best way to judge any of these tools is to use them. Aikeedo's live demo is the full product on the current release, including the admin panel.

FAQ

Is there a free self-hosted ChatGPT alternative I can sell?

LibreChat and AnythingLLM are MIT-licensed, so you may rebrand and sell services built on them. Neither documents end-user payments, so you would build billing, plans and customer management yourself. Open WebUI, Dify and LobeHub have license conditions on branding, multi-tenancy or derivative works that need a commercial agreement for many resale setups.

Can I remove Open WebUI branding?

Only in specific cases. From v0.6.6, the license allows branding changes for deployments with 50 or fewer users in a 30-day period, for contributors with written permission, or with an enterprise license that explicitly allows it. Above that, the Open WebUI name and logo must stay.

Does Aikeedo take a share of my revenue?

No. Customers pay you directly through your own Stripe, PayPal or other gateway accounts. Aikeedo is paid for through its license or subscription, and you pay your own hosting and AI provider costs. See the pricing page for current plans.

Can I use local models with these tools?

Yes. Open WebUI, LibreChat, AnythingLLM and Aikeedo all support Ollama, and several also support other OpenAI-compatible local servers. Check the specific model and modality you need, since image, video and voice support varies far more than chat support.

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