AIAny
AI Client2023
Icon for item

NextChat

Bring-your-own-key chat client that keeps every conversation in the local browser, never a server. One UI reaches OpenAI, Claude, Gemini, DeepSeek and a dozen more providers across web, desktop and mobile, with MCP, plugins, and one-click self-hosting.

Introduction

Most hosted AI chat apps trade your privacy for convenience: your conversations and keys live on someone else's server. NextChat inverts that — it ships as a thin client you deploy yourself, keeps every message in the browser's local storage, and routes requests directly to whatever provider's key you hand it. The result is a ChatGPT-style interface you fully own, deployable in one click to Vercel or Docker.

What Sets It Apart
  • Provider-agnostic by design: one UI talks to OpenAI, Azure, Anthropic Claude, Google Gemini, DeepSeek, Baidu, ByteDance, Alibaba, ChatGLM and more — switch models without switching apps.
  • Genuinely everywhere: the same codebase (Next.js + React, Tauri for desktop) runs as web, PWA, browser extension, and native iOS/macOS/Windows/Linux/Android builds.
  • Beyond plain chat: MCP support, a plugin system, Markdown with LaTeX and code highlighting, and artifact/image-generation integration push it past a simple wrapper.
Who It's For

Great fit if you want a self-hosted, multi-provider chat front-end and prefer paying per-token through your own keys rather than a flat subscription. Look elsewhere if you need server-side conversation sync across devices, team accounts, or managed infrastructure — local-first storage means your history lives on each device, and you own the deployment and key management yourself.

Information

  • Websitenextchat.club
  • OrganizationsGPTsMotion Tech LLC
  • AuthorsChatGPTNextWeb (project), GPTSMOTION TECH LTD. (website/team)
  • Published date2023/03/10

More Items

Hugging Face
Chatbot2026

Provides a drop-in Jinja chat template for Qwen 3.5/3.6/3.8 that reduces reasoning-token waste, enforces a concise terseness system prompt, and preserves in-chat reasoning and tool-call rendering across turns. Terseness is on by default but switchable per request; no model weights are changed.

GitHub
AI Deploy2026

Provides reusable Docker compose files, scripts and benchmarked configs to serve modern LLMs (Qwen, Gemma, etc.) on 1–2 NVIDIA RTX 3090/4090/5090 GPUs. Multi-engine (vLLM, llama.cpp, ik_llama), measured TPS/context tradeoffs, and validated single/dual‑GPU recipes.

GitHub
AI Client2025

Enhances web AI chat interfaces (Gemini, AI Studio, Claude, ChatGPT) with folder-based conversation organization, timeline navigation, prompt vault, cloud sync, chat export, UI fixes and a plugin engine. Runs as a browser extension and includes cross-site prompt management and Mermaid rendering.