ChatGPT Next Web
A lightweight, privacy-first web and desktop AI assistant that supports multiple LLMs and can be self-hosted.
What is ChatGPT Next Web?
NextChat is an open-source, lightweight web and desktop application that serves as a unified interface for interacting with multiple AI models like GPT-4, Claude, and Gemini. It solves the problem of fragmented AI tooling by providing a single, private, and customizable client that works across all major platforms.
Developers, teams, and individuals who need a private, self-hostable AI chat interface that supports multiple LLM providers and offers advanced features like prompt templating and local data storage.
Developers choose NextChat for its exceptional privacy controls, one-click self-hosting, broad model compatibility, and sleek multi-platform clients—all packaged in a fast, open-source solution that avoids vendor lock-in.
Overview
✨ Light and Fast AI Assistant. Support: Web | iOS | MacOS | Android | Linux | Windows
Use Cases
Best For
- Self-hosting a private AI chat interface for personal or team use
- Building a unified client for multiple LLM APIs (OpenAI, Anthropic, Google, etc.)
- Creating and sharing custom prompt templates for specific workflows
- Developing desktop AI applications with a web-based tech stack
- Deploying a lightweight, branded AI assistant on internal infrastructure
- Accessing AI models locally via self-hosted runners like LocalAI
Not Ideal For
- Enterprises needing out-of-the-box SSO and advanced user management without custom development
- Projects requiring fully offline AI capabilities with zero API dependencies or complex local model setups
- Teams looking for drag-and-drop visual builders to create custom AI workflows without coding
- Applications that demand real-time collaboration features like shared chat rooms or version-controlled prompts
Pros & Cons
Pros
All chat data is stored locally in the browser by default, ensuring user data never leaves their device unless explicitly shared, as highlighted in the README's 'Privacy-First' philosophy.
Supports OpenAI GPT, Claude, Gemini, DeepSeek, and self-hosted models via LocalAI or RWKV-Runner, allowing seamless switching between providers, with extensive environment variable configurations for each.
Can be deployed on Vercel with one-click in under a minute and offers lightweight desktop clients (~5MB) for Windows, macOS, and Linux, making it accessible across platforms.
Includes customizable prompt templates (masks) for creating, sharing, and debugging chat tools, powered by community-driven libraries like awesome-chatgpt-prompts, enhancing workflow efficiency.
Cons
Managing numerous environment variables for different API keys and endpoints (e.g., OPENAI_API_KEY, ANTHROPIC_API_KEY, BASE_URL) can be cumbersome and error-prone, especially for non-technical users.
The roadmap lists 'local knowledge base' as a future feature, so users needing Retrieval-Augmented Generation (RAG) capabilities must wait or handle external integrations, limiting out-of-the-box functionality.
Lacks native multi-user features like role-based access control or shared workspaces, relying on basic password protection via the CODE environment variable, which may not scale for team environments.
Open Source Alternative To
ChatGPT Next Web is an open-source alternative to the following products:
ChatGPT Web Interface is the official browser-based application where users can interact with OpenAI's ChatGPT conversational AI through a graphical user interface.
Claude Web App is the web-based interface for interacting with Anthropic's Claude AI assistant through a browser, providing chat-based AI capabilities.
Frequently Asked Questions
Related Projects
Open InterpreterA natural language interface for computers
FastChatAn open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
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TaskMatrixTaskMatrix is a system that integrates ChatGPT with a collection of visual foundation models, enabling multimodal conversations that include both text and images. It allows users to perform complex visual tasks through natural language dialogue, bridging the gap between large language models and specialized visual AI. ## Key Features - **Multimodal Chat** — Send and receive images within a ChatGPT conversation interface. - **Visual Foundation Model Integration** — Leverages models for image captioning, generation, editing, segmentation, and visual question answering. - **Template System** — Pre-defined execution flows that help ChatGPT assemble complex tasks involving multiple models without additional training. - **Flexible Model Loading** — Specify which visual models to load and their GPU/CPU assignments via command-line arguments. - **Community Extensible** — Designed for community contributions to add new visual models and capabilities. ## Philosophy TaskMatrix aims to combine the broad general knowledge of large language models with the deep domain expertise of visual foundation models to create an AI capable of handling a wide variety of tasks.
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