LibreChat review 2026: a free, open-source, self-hosted ChatGPT alternative supporting many AI models. See features, self-hosting, pricing and alternatives.
LibreChat is an open-source, self-hosted AI chat application that lets users converse with models from OpenAI, Anthropic, Google, AWS Bedrock, and many other providers through a single unified interface. It began as a solo ChatGPT clone project by developer Danny Avila, first released on GitHub in March 2023, and has since grown into a community-maintained platform with hundreds of contributors.
LibreChat is released under the MIT license, making it free to use, modify, and self-host with no vendor lock-in and no required subscription.
LibreChat supports AI agents, Model Context Protocol (MCP) tool integrations, a Code Interpreter, image generation, and a RAG pipeline for document question-answering, alongside multimodal vision support for image uploads.
On the operations side it offers secure multi-user authentication with SSO (OAuth, SAML, LDAP), two-factor authentication, rate limiting, moderation tools, and an interface available in more than 30 languages.
LibreChat itself is completely free and open source with no official paid tier. Costs come only from the underlying LLM provider API usage and any infrastructure the operator chooses to run it on.
Third-party managed hosting is available from providers like Elestio, with plans reported to start around 16 dollars per month, but this is a separate hosting service rather than an official LibreChat product.
Yes, LibreChat is free and open source under the MIT license. The only costs are the underlying LLM API usage from providers like OpenAI or Anthropic and any hosting infrastructure.
LibreChat was created by developer Danny Avila, who first released it on GitHub in March 2023 as a ChatGPT clone; it is now maintained by a broader open-source community.
LibreChat supports OpenAI, Anthropic, Google Gemini, AWS Bedrock, Azure OpenAI, Mistral, Groq, DeepSeek, OpenRouter, and any OpenAI-compatible endpoint including locally-run models via Ollama.
Yes, it includes multi-user authentication, SSO via OAuth, SAML, and LDAP, two-factor authentication, and moderation tools suitable for team and enterprise deployments.
The officially recommended method is Docker Compose, though it can also be deployed via cloud marketplaces like AWS or Azure, or through managed hosting providers such as Elestio.
No official LibreChat Cloud product exists; the project itself is self-hosted software, though third-party managed hosting options are available.