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LibreChat

Chat with multiple AI providers through a single self-hostable interface, with support for custom agents, file uploads, plugins, and multi-user access control.

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LibreChat is a self-hostable chat interface that connects to virtually every major AI provider from one place. Instead of juggling separate tabs for OpenAI, Anthropic, Google, and others, you get a single UI where you can switch models mid-conversation, compare responses, and manage everything under one login. It's built for teams and organizations that want control over their AI tooling without depending on a SaaS vendor.

The platform sits in the same space as Open WebUI and LobeChat, but LibreChat leans heavily into multi-user deployments. Admins can manage users, set spending limits, assign roles, and configure which models each user can access. That makes it practical for companies rolling out AI access across a team rather than just personal use.

Key capabilities include:

  • Multi-provider support: Connect OpenAI, Azure OpenAI, Anthropic, Google Gemini, Mistral, and more, including local models via Ollama.
  • Custom agents: Build agents with specific instructions, tools, and model configurations that persist across sessions.
  • File handling: Upload images, PDFs, and documents directly into conversations for context-aware responses.
  • Plugins and tools: Extend conversations with web search, code execution, and third-party integrations.
  • Conversation branching: Fork any message to explore different directions without losing the original thread.
  • Presets: Save model configurations and system prompts as reusable presets for consistent workflows.

LibreChat fits into the broader AI chat interfaces category but stands out for its depth of configuration. The UI closely mirrors ChatGPT's layout, which flattens the learning curve for teams migrating off proprietary tools. With over 37,000 GitHub stars and 35 million Docker pulls, it has significant real-world adoption behind it.

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