ChatGPT
AI conversational assistant for answering questions, writing, and coding help
Open-Source Projects
Discover top open-source software, updated regularly with real-world adoption signals.
Discover top open-source software, updated regularly with real-world adoption signals.
Lightweight AI assistant supporting Claude, GPT-4, and Gemini
Cross-platform AI chat interface with multi-model support, privacy-first local storage, and one-click deployment. Includes prompt templates, plugin system, and desktop apps.
NextChat is a lightweight, fast AI assistant that provides a unified interface for leading language models including Claude, DeepSeek, GPT-4, and Gemini Pro. Designed for developers and teams seeking a privacy-focused chat experience, it stores all data locally in the browser and supports self-hosted LLM deployments.
The platform offers a compact client (~5MB) available for Linux, Windows, and macOS, with PWA support for web deployment. Users can create and share custom prompt templates, leverage an extensible plugin system for network search and calculations, and preview generated content through the Artifacts feature. Markdown rendering includes LaTeX, Mermaid diagrams, and syntax highlighting. The interface supports 14+ languages and features responsive design with dark mode.
Deploy to Vercel with one click or self-host with compatible LLM backends like RWKV-Runner and LocalAI. The application compresses chat history automatically to optimize token usage during long conversations. Enterprise editions offer brand customization, centralized resource management, permission controls, and private cloud deployment options. Access control is configurable via environment variables for team environments.
When teams consider NextChat, these hosted platforms usually appear on the same shortlist.
Looking for a hosted option? These are the services engineering teams benchmark against before choosing open source.
Multi-Model Development Testing
Developers compare Claude, GPT-4, and Gemini responses side-by-side using custom prompt templates to identify optimal models for specific tasks.
Privacy-Compliant Internal Tool
Organizations deploy NextChat with self-hosted LLMs to maintain data sovereignty while providing employees AI assistance for documentation and code review.
Rapid Prototyping with Artifacts
Designers generate and preview HTML/CSS prototypes in the Artifacts window, iterating quickly without leaving the chat interface.
Multilingual Customer Support
Support teams use the 14-language interface with network search plugins to assist international customers across time zones with consistent AI-powered responses.
NextChat supports Claude, DeepSeek, GPT-4, Gemini Pro, and self-hosted models through RWKV-Runner or LocalAI including llama, gpt4all, vicuna, and falcon.
All chat data is stored locally in your browser by default. For self-hosted deployments, data remains on your infrastructure. Enterprise editions offer additional security auditing and private cloud options.
Yes. After obtaining an API key from your chosen provider, click the one-click deploy button for Vercel or download the desktop app. Configuration is done through a settings interface.
Prompt templates let you create reusable conversation starters with pre-defined context. Save custom prompts, share them with others, or use community templates from awesome-chatgpt-prompts collections.
Yes. NextChat is fully compatible with self-deployed LLMs. Point it to your LocalAI or RWKV-Runner instance to run models entirely on your infrastructure without internet-dependent API calls.
Project at a glance
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