Chatbot UI is an AI tool built by Takeoff AI intended to facilitate interaction with numerous AI models. It offers a user interface (UI) designed to streamline the process of chatting with AI programs.
Expert Video Review by SEOGANT · March 2026
Chatbot UI is an open-source AI chat interface for multiple large language model providers, created by developer McKay Wrigley and available on GitHub with over 28,500 stars making it one of the most widely adopted open-source AI chat clients in the world.
The project provides a polished, full-featured chat interface comparable to the commercial ChatGPT web application but deployable on the user's own infrastructure and configurable to connect with multiple AI model providers including OpenAI, Anthropic (Claude), Google (Gemini), and Ollama for local model deployment.
This provider flexibility gives users control over which AI models they use rather than being locked into a single vendor.
The version 2.0 architecture uses Next.js for the frontend and Supabase for the backend, providing authentication, persistent conversation storage, and user settings management.
This stack provides enterprise-grade reliability and scalability while remaining fully deployable by individual developers on cloud providers or personal infrastructure.
The Supabase backend means conversations and settings persist across sessions and devices, providing the kind of seamless multi-device experience that closed-platform AI applications offer but that open-source alternatives have historically struggled to deliver.
Feature parity with commercial AI chat applications is comprehensive: users can organize conversations into folders for workspace management, create and reuse prompt templates that encode their most effective prompting strategies, access complete conversation history with search, and export chats in multiple formats including screenshots, markdown, text, and JSON for archiving, sharing, or further processing.
The ability to export conversations as JSON is particularly valuable for developers who want to process chat history programmatically or integrate conversation data with other systems.
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