LibreChat

What it does

LibreChat is an open-source AI chat platform that puts conversations with many model providers into one customizable interface. It works with providers such as OpenAI, Anthropic, Google, Azure, and AWS Bedrock, and includes agents with file handling and API actions, a code interpreter, artifacts for React, HTML, and Mermaid, search across messages and files, memory, and web search.

The project is a self-hosted web application. Teams install it with Docker, npm, or a Helm chart, create an account, add a model API key, and begin chatting. It is MIT licensed, supports Model Context Protocol connections and custom endpoints, and lets organizations deploy on their own infrastructure. A free public demo exists for evaluation only.

It suits developers, IT teams, and organizations that want one interface across providers, with SSO through OAuth, SAML, LDAP, and two-factor authentication. Users host it themselves and bring their own model API keys. It is not a native desktop app, so Windows and macOS users run it through Docker Desktop.

What it can do

• Multi-provider model selection including Anthropic, AWS, OpenAI, Azure, and others
• Agents with file handling, code interpretation, and API actions
• Code execution in multiple languages
• Artifacts for React, HTML, and Mermaid diagrams in chat
• Search across messages, files, and code snippets
• MCP support for connecting tools and services
• Persistent memory across conversations
• Web search with reranking

Before you choose

• The public demo at chat.librechat.ai is for evaluation only and is not suitable for private data or anything you need to keep.
• You supply your own model API keys and host the software yourself; those costs depend on your providers and infrastructure.
• LibreChat is a self-hosted web application, not a native desktop app.

Listed under

• Coding
• MCP and agent tools
• AI agents
• Chat interface
• Developers
• Multi-model
• Open source
• Self-hosted

Get started

Install with Docker in about five minutes, then add a model API key; a free public demo is available for evaluation only.

1. Install LibreChat using the Quick Start guide with Docker (about five minutes), or use the Local Installation guide for npm or Helm.
2. On Windows or macOS, install Docker Desktop first; on Apple Silicon Macs, read the MongoDB note in the Docker prerequisites.
3. Create your account, add a model API key, and send your first message following 'Your First Chat'.

The software is MIT licensed and described as free with no subscriptions. Verify model API usage and self-hosting infrastructure costs with your chosen providers.

We couldn’t find published prices for LibreChat. See their pricing page ↗

Sources for this overview

Product pages, documentation, and pricing checked 1 Nov 2026. Each source supports part of the overview; availability and prices can change.

• LibreChat - The Open-Source AI Platform ↗www.librechat.ai
• Documentation | LibreChat ↗www.librechat.ai
• LibreChat - The Open-Source AI Platform ↗www.librechat.ai
• About LibreChat | LibreChat ↗www.librechat.ai
• About LibreChat | LibreChat ↗www.librechat.ai

Company website

librechat.ai: product, pricing and policy pages

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Last checked 1 Nov 2026. Every field keeps its source and date; unknown means we couldn’t confirm it.