Local and Fast AI Assistant. Support: Web | iOS | MacOS | Android | Linux | Windows
English / 简体中文
One-Click to get a well-designed cross-platform ChatGPT web UI, with Claude, GPT4 & Gemini Pro support.
NextChatAI / Web App Demo / Desktop App / Discord / Enterprise Edition / Twitter
Before build, please set env ENABLE_MCP=true
Meeting Your Company's Privatization and Customization Deployment Requirements:
- Brand Customization: Tailored VI/UI to seamlessly align with your corporate brand image.
- Resource Integration: Unified configuration and management of dozens of AI resources by company administrators, ready for use by team members.
- Permission Control: Clearly defined member permissions, resource permissions, and knowledge base permissions, all controlled via a corporate-grade Admin Panel.
- Knowledge Integration: Combining your internal knowledge base with AI capabilities, making it more relevant to your company's specific business needs compared to general AI.
- Security Auditing: Automatically intercept sensitive inquiries and trace all historical conversation records, ensuring AI adherence to corporate information security standards.
- Private Deployment: Enterprise-level private deployment supporting various mainstream private cloud solutions, ensuring data security and privacy protection.
- Continuous Updates: Ongoing updates and upgrades in cutting-edge capabilities like multimodal AI, ensuring consistent innovation and advancement.
For enterprise inquiries, please contact: business@nextchat.dev
- Deploy for free with one-click on Vercel in under 1 minute
- Compact client (~5MB) on Linux/Windows/MacOS, download it now
- Fully compatible with self-deployed LLMs, recommended for use with RWKV-Runner or LocalAI
- Privacy first, all data is stored locally in the browser
- Markdown support: LaTex, mermaid, code highlight, etc.
- Responsive design, dark mode and PWA
- Fast first screen loading speed (~100kb), support streaming response
- New in v2: create, share and debug your chat tools with prompt templates (mask)
- Awesome prompts powered by awesome-chatgpt-prompts-zh and awesome-chatgpt-prompts
- Automatically compresses chat history to support long conversations while also saving your tokens
- I18n: English, 简体中文, 繁体中文, 日本語, Français, Español, Italiano, Türkçe, Deutsch, Tiếng Việt, Русский, Čeština, 한국어, Indonesia
- System Prompt: pin a user defined prompt as system prompt #138
- User Prompt: user can edit and save custom prompts to prompt list
- Prompt Template: create a new chat with pre-defined in-context prompts #993
- Share as image, share to ShareGPT #1741
- Desktop App with tauri
- Self-host Model: Fully compatible with RWKV-Runner, as well as server deployment of LocalAI: llama/gpt4all/rwkv/vicuna/koala/gpt4all-j/cerebras/falcon/dolly etc.
- Artifacts: Easily preview, copy and share generated content/webpages through a separate window #5092
- Plugins: support network search, calculator, any other apis etc. #165 #5353
- Supports Realtime Chat #5672
- local knowledge base
- 🚀 v2.15.8 Now supports Realtime Chat #5672
- 🚀 v2.15.4 The Application supports using Tauri fetch LLM API, MORE SECURITY! #5379
- 🚀 v2.15.0 Now supports Plugins! Read this: NextChat-Awesome-Plugins
- 🚀 v2.14.0 Now supports Artifacts & SD
- 🚀 v2.10.1 support Google Gemini Pro model.
- 🚀 v2.9.11 you can use azure endpoint now.
- 🚀 v2.8 now we have a client that runs across all platforms!
- 🚀 v2.7 let's share conversations as image, or share to ShareGPT!
- 🚀 v2.0 is released, now you can create prompt templates, turn your ideas into reality! Read this: ChatGPT Prompt Engineering Tips: Zero, One and Few Shot Prompting.
- Get OpenAI API Key;
- Click
, remember that
CODEis your page password; - Enjoy :)
If you have deployed your own project with just one click following the steps above, you may encounter the issue of "Updates Available" constantly showing up. This is because Vercel will create a new project for you by default instead of forking this project, resulting in the inability to detect updates correctly.
We recommend that you follow the steps below to re-deploy:
- Delete the original repository;
- Use the fork button in the upper right corner of the page to fork this project;
- Choose and deploy in Vercel again, please see the detailed tutorial.
If you encounter a failure of Upstream Sync execution, please manually update code.
After forking the project, due to the limitations imposed by GitHub, you need to manually enable Workflows and Upstream Sync Action on the Actions page of the forked project. Once enabled, automatic updates will be scheduled every hour:
If you want to update instantly, you can check out the GitHub documentation to learn how to synchronize a forked project with upstream code.
You can star or watch this project or follow author to get release notifications in time.
This project provides limited access control. Please add an environment variable named CODE on the vercel environment variables page. The value should be passwords separated by comma like this:
code1,code2,code3
After adding or modifying this environment variable, please redeploy the project for the changes to take effect.
Access password, separated by comma.
Your openai api key, join multiple api keys with comma.
Default:
https://api.openai.com
Examples:
http://your-openai-proxy.com
Override openai api request base url.
Specify OpenAI organization ID.
Example: https://{azure-resource-url}/openai
Azure deploy url.
Azure Api Key.
Azure Api Version, find it at Azure Documentation.
Google Gemini Pro Api Key.
Google Gemini Pro Api Url.
anthropic claude Api Key.
anthropic claude Api version.
anthropic claude Api Url.
Baidu Api Key.
Baidu Secret Key.
Baidu Api Url.
ByteDance Api Key.
ByteDance Api Url.
Alibaba Cloud Api Key.
Alibaba Cloud Api Url.
iflytek Api Url.
iflytek Api Key.
iflytek Api Secret.
ChatGLM Api Key.
ChatGLM Api Url.
DeepSeek Api Key.
DeepSeek Api Url.
Default: Empty
If you do not want users to input their own API key, set this value to 1.
Default: Empty
If you do not want users to use GPT-4, set this value to 1.
Default: Empty
If you do want users to query balance, set this value to 1.
Default: Empty
If you want to disable parse settings from url, set this to 1.
Default: Empty Example:
+llama,+claude-2,-gpt-3.5-turbo,gpt-4-1106-preview=gpt-4-turbomeans addllama, claude-2to model list, and removegpt-3.5-turbofrom list, and displaygpt-4-1106-previewasgpt-4-turbo.
To control custom models, use + to add a custom model, use - to hide a model, use name=displayName to customize model name, separated by comma.
User -all to disable all default models, +all to enable all default models.
For Azure: use modelName@Azure=deploymentName to customize model name and deployment name.
Example:
+gpt-3.5-turbo@Azure=gpt35will show optiongpt35(Azure)in model list. If you only can use Azure model,-all,+gpt-3.5-turbo@Azure=gpt35willgpt35(Azure)the only option in model list.
For ByteDance: use modelName@bytedance=deploymentName to customize model name and deployment name.
Example:
+Doubao-lite-4k@bytedance=ep-xxxxx-xxxwill show optionDoubao-lite-4k(ByteDance)in model list.
Change default model
Default: Empty Example:
gpt-4-vision,claude-3-opus,my-custom-modelmeans add vision capabilities to these models in addition to the default pattern matches (which detect models containing keywords like "vision", "claude-3", "gemini-1.5", etc).
Add additional models to have vision capabilities, beyond the default pattern matching. Multiple models should be separated by commas.
You can use this option if you want to increase the number of webdav service addresses you are allowed to access, as required by the format：
- Each address must be a complete endpoint
https://xxxx/yyy
- Multiple addresses are connected by ', '
Customize the default template used to initialize the User Input Preprocessing configuration item in Settings.
Stability API key.
Customize Stability API url.
Enable MCP（Model Context Protocol）Feature
NodeJS >= 18, Docker >= 20
Before starting development, you must create a new .env.local file at project root, and place your api key into it:
OPENAI_API_KEY=<your api key here>
# if you are not able to access openai service, use this BASE_URL
BASE_URL=https://chatgpt1.nextweb.fun/api/proxy
# 1. install nodejs and yarn first # 2. config local env vars in `.env.local` # 3. run yarn install yarn dev
docker pull yidadaa/chatgpt-next-web docker run -d -p 3000:3000 \ -e OPENAI_API_KEY=sk-xxxx \ -e CODE=your-password \ yidadaa/chatgpt-next-web
You can start service behind a proxy:
docker run -d -p 3000:3000 \
-e OPENAI_API_KEY=sk-xxxx \
-e CODE=your-password \
-e PROXY_URL=http://localhost:7890 \
yidadaa/chatgpt-next-webIf your proxy needs password, use:
-e PROXY_URL="http://127.0.0.1:7890 user pass"If enable MCP, use：
docker run -d -p 3000:3000 \
-e OPENAI_API_KEY=sk-xxxx \
-e CODE=your-password \
-e ENABLE_MCP=true \
yidadaa/chatgpt-next-web
bash <(curl -s https://raw.githubusercontent.com/Yidadaa/ChatGPT-Next-Web/main/scripts/setup.sh)| 简体中文 | English | Italiano | 日本語 | 한국어
Please go to the [docs][./docs] directory for more documentation instructions.
- Deploy with cloudflare (Deprecated)
- Frequent Ask Questions
- How to add a new translation
- How to use Vercel (No English)
- User Manual (Only Chinese, WIP)
from https://github.com/ChatGPTNextWeb/NextChat
--------------------------------------------------------------------
https://nextchat.club/
next-chat-clone.vercel.app
NextChat (ChatGPT Next Web)
English / 简体中文
✨ Light and Fast AI Assistant,with Claude, DeepSeek, GPT4 & Gemini Pro support.
NextChatAI / Web App Demo / Desktop App NextChatAI / Web App Demo / Desktop App / Discord / Enterprise Edition / Twitter
Purpose-Built UI for DeepSeek Reasoner Model
Before build, please set env ENABLE_MCP=true
Meeting Your Company's Privatization and Customization Deployment Requirements:
- Brand Customization: Tailored VI/UI to seamlessly align with your corporate brand image.
- Resource Integration: Unified configuration and management of dozens of AI resources by company administrators, ready for use by team members.
- Permission Control: Clearly defined member permissions, resource permissions, and knowledge base permissions, all controlled via a corporate-grade Admin Panel.
- Knowledge Integration: Combining your internal knowledge base with AI capabilities, making it more relevant to your company's specific business needs compared to general AI.
- Security Auditing: Automatically intercept sensitive inquiries and trace all historical conversation records, ensuring AI adherence to corporate information security standards.
- Private Deployment: Enterprise-level private deployment supporting various mainstream private cloud solutions, ensuring data security and privacy protection.
- Continuous Updates: Ongoing updates and upgrades in cutting-edge capabilities like multimodal AI, ensuring consistent innovation and advancement.
For enterprise inquiries, please contact: business@nextchat.dev
- Deploy for free with one-click on Vercel in under 1 minute
- Compact client (~5MB) on Linux/Windows/MacOS, download it now
- Fully compatible with self-deployed LLMs, recommended for use with RWKV-Runner or LocalAI
- Privacy first, all data is stored locally in the browser
- Markdown support: LaTex, mermaid, code highlight, etc.
- Responsive design, dark mode and PWA
- Fast first screen loading speed (~100kb), support streaming response
- New in v2: create, share and debug your chat tools with prompt templates (mask)
- Awesome prompts powered by awesome-chatgpt-prompts-zh and awesome-chatgpt-prompts
- Automatically compresses chat history to support long conversations while also saving your tokens
- I18n: English, 简体中文, 繁体中文, 日本語, Français, Español, Italiano, Türkçe, Deutsch, Tiếng Việt, Русский, Čeština, 한국어, Indonesia
- System Prompt: pin a user defined prompt as system prompt #138
- User Prompt: user can edit and save custom prompts to prompt list
- Prompt Template: create a new chat with pre-defined in-context prompts #993
- Share as image, share to ShareGPT #1741
- Desktop App with tauri
- Self-host Model: Fully compatible with RWKV-Runner, as well as server deployment of LocalAI: llama/gpt4all/rwkv/vicuna/koala/gpt4all-j/cerebras/falcon/dolly etc.
- Artifacts: Easily preview, copy and share generated content/webpages through a separate window #5092
- Plugins: support network search, calculator, any other apis etc. #165 #5353
- Supports Realtime Chat #5672
- local knowledge base
- 🚀 v2.15.8 Now supports Realtime Chat #5672
- 🚀 v2.15.4 The Application supports using Tauri fetch LLM API, MORE SECURITY! #5379
- 🚀 v2.15.0 Now supports Plugins! Read this: NextChat-Awesome-Plugins
- 🚀 v2.14.0 Now supports Artifacts & SD
- 🚀 v2.10.1 support Google Gemini Pro model.
- 🚀 v2.9.11 you can use azure endpoint now.
- 🚀 v2.8 now we have a client that runs across all platforms!
- 🚀 v2.7 let's share conversations as image, or share to ShareGPT!
- 🚀 v2.0 is released, now you can create prompt templates, turn your ideas into reality! Read this: ChatGPT Prompt Engineering Tips: Zero, One and Few Shot Prompting.
- Get OpenAI API Key;
- Click
, remember that
CODEis your page password; - Enjoy :)
If you have deployed your own project with just one click following the steps above, you may encounter the issue of "Updates Available" constantly showing up. This is because Vercel will create a new project for you by default instead of forking this project, resulting in the inability to detect updates correctly.
We recommend that you follow the steps below to re-deploy:
- Delete the original repository;
- Use the fork button in the upper right corner of the page to fork this project;
- Choose and deploy in Vercel again, please see the detailed tutorial.
If you encounter a failure of Upstream Sync execution, please manually update code.
After forking the project, due to the limitations imposed by GitHub, you need to manually enable Workflows and Upstream Sync Action on the Actions page of the forked project. Once enabled, automatic updates will be scheduled every hour:
If you want to update instantly, you can check out the GitHub documentation to learn how to synchronize a forked project with upstream code.
You can star or watch this project or follow author to get release notifications in time.
This project provides limited access control. Please add an environment variable named CODE on the vercel environment variables page. The value should be passwords separated by comma like this:
code1,code2,code3
After adding or modifying this environment variable, please redeploy the project for the changes to take effect.
Access password, separated by comma.
Your openai api key, join multiple api keys with comma.
Default:
https://api.openai.com
Examples:
http://your-openai-proxy.com
Override openai api request base url.
Specify OpenAI organization ID.
Example: https://{azure-resource-url}/openai
Azure deploy url.
Azure Api Key.
Azure Api Version, find it at Azure Documentation.
Google Gemini Pro Api Key.
Google Gemini Pro Api Url.
anthropic claude Api Key.
anthropic claude Api version.
anthropic claude Api Url.
Baidu Api Key.
Baidu Secret Key.
Baidu Api Url.
ByteDance Api Key.
ByteDance Api Url.
Alibaba Cloud Api Key.
Alibaba Cloud Api Url.
iflytek Api Url.
iflytek Api Key.
iflytek Api Secret.
ChatGLM Api Key.
ChatGLM Api Url.
DeepSeek Api Key.
DeepSeek Api Url.
Default: Empty
If you do not want users to input their own API key, set this value to 1.
Default: Empty
If you do not want users to use GPT-4, set this value to 1.
Default: Empty
If you do want users to query balance, set this value to 1.
Default: Empty
If you want to disable parse settings from url, set this to 1.
Default: Empty Example:
+llama,+claude-2,-gpt-3.5-turbo,gpt-4-1106-preview=gpt-4-turbomeans addllama, claude-2to model list, and removegpt-3.5-turbofrom list, and displaygpt-4-1106-previewasgpt-4-turbo.
To control custom models, use + to add a custom model, use - to hide a model, use name=displayName to customize model name, separated by comma.
User -all to disable all default models, +all to enable all default models.
For Azure: use modelName@Azure=deploymentName to customize model name and deployment name.
Example:
+gpt-3.5-turbo@Azure=gpt35will show optiongpt35(Azure)in model list. If you only can use Azure model,-all,+gpt-3.5-turbo@Azure=gpt35willgpt35(Azure)the only option in model list.
For ByteDance: use modelName@bytedance=deploymentName to customize model name and deployment name.
Example:
+Doubao-lite-4k@bytedance=ep-xxxxx-xxxwill show optionDoubao-lite-4k(ByteDance)in model list.
Change default model
Default: Empty Example:
gpt-4-vision,claude-3-opus,my-custom-modelmeans add vision capabilities to these models in addition to the default pattern matches (which detect models containing keywords like "vision", "claude-3", "gemini-1.5", etc).
Add additional models to have vision capabilities, beyond the default pattern matching. Multiple models should be separated by commas.
You can use this option if you want to increase the number of webdav service addresses you are allowed to access, as required by the format：
- Each address must be a complete endpoint
https://xxxx/yyy
- Multiple addresses are connected by ', '
Customize the default template used to initialize the User Input Preprocessing configuration item in Settings.
Stability API key.
Customize Stability API url.
Enable MCP（Model Context Protocol）Feature
SiliconFlow API Key.
SiliconFlow API URL.
NodeJS >= 18, Docker >= 20
Before starting development, you must create a new .env.local file at project root, and place your api key into it:
OPENAI_API_KEY=<your api key here>
# if you are not able to access openai service, use this BASE_URL
BASE_URL=https://chatgpt1.nextweb.fun/api/proxy
# 1. install nodejs and yarn first # 2. config local env vars in `.env.local` # 3. run yarn install yarn dev
docker pull yidadaa/chatgpt-next-web docker run -d -p 3000:3000 \ -e OPENAI_API_KEY=sk-xxxx \ -e CODE=your-password \ yidadaa/chatgpt-next-web
You can start service behind a proxy:
docker run -d -p 3000:3000 \
-e OPENAI_API_KEY=sk-xxxx \
-e CODE=your-password \
-e PROXY_URL=http://localhost:7890 \
yidadaa/chatgpt-next-webIf your proxy needs password, use:
-e PROXY_URL="http://127.0.0.1:7890 user pass"If enable MCP, use：
docker run -d -p 3000:3000 \
-e OPENAI_API_KEY=sk-xxxx \
-e CODE=your-password \
-e ENABLE_MCP=true \
yidadaa/chatgpt-next-web
bash <(curl -s https://raw.githubusercontent.com/Yidadaa/ChatGPT-Next-Web/main/scripts/setup.sh)| 简体中文 | English | Italiano | 日本語 | 한국어
Please go to the [docs][./docs] directory for more documentation instructions.
- Deploy with cloudflare (Deprecated)
- Frequent Ask Questions
- How to add a new translation
- How to use Vercel (No English)
- User Manual (Only Chinese, WIP)
from https://github.com/SAKURAFLY0910/NextChat_Clone
( https://github.com/ymbrite/NextChat_Clone)
----------------------------------------------------------------------------------------------------------
基于 NextChat 深度重构，一个更优雅、更强大的 AI 对话解决方案-neatchat
🎨 UI 焕新升级
✨ 全面适配 Lobe-UI 设计系统，微调大量交互细节 🌿 更清爽的界面布局，沉浸式无干扰聊天体验
🔌 插件生态扩展
🧩 原生兼容官方插件协议，无缝接入 NextChat 插件生态 📦 预置绘图/计算/搜索等高频插件，一键即用免配置
📱 全端畅快交互
🔄 深度适配移动端触控操作，手势操作丝滑流畅 📲 响应式布局智能适配手机/平板/桌面，处处皆自然
🌀 思维链可视化
🧠 支持折叠式思维链与渐进式思考过程展示 🎭 为复杂推理场景设计的高颜值可视化交互
⚡ 极速开箱体验
🚀 支持从服务端/客户端 API 自动拉取模型列表 📦 智能分类 & 快捷筛选，3 秒开启第一段对话
⚙️ 配置灵活自由
🔗 全新设计的 CUSTOM_MODELS 变量逻辑，服务端→客户端配置无缝衔接 🌐 本地优先原则，同时完美兼容 Web 端用户配置
🧪 智能模型探针
✅ 独创多协议测试方案，一键检测代理通道可用性 🔋 支持服务端/客户端双模式健康检查，稳定性一目了然
🖼️ 模型头像工坊
🎨 本地化头像匹配规则引擎，支持正则表达式深度定制 🔄 自动同步官方模型库，再也不怕新模型「无头可用」
🚧 即将震撼来袭
🌉 原生多通道负载均衡功能（无需部署 OneAPI/NewAPI） 🏆 打造 All-in-One 智能对话中枢，重新定义生产力边界
更多内容请移步演示站
我重新定义了CUSTOM_MODELS中@之后的变量，比如原来你可以使用gpt-4o@OpenAI，其中OpenAI作为providers存在，也约束了请求方式是openai格式，但是当后来越来越多的模型都以openai格式作为规范，再@openai就显得很奇怪，也会出现一些问题。现在，我建议在我的版本中，使用@模型类别这个方式来约束模型。（当然原来的方式仍然保留，只是扩充了@的用法）
当然你不用自己操作，客户端我已经做了自动配置，我只是建议在服务端设置变量的时候就
@模型类别，后续我将围绕这个类别做一些更新。
所有类别：
| 类别 | 匹配规则 | 类别 | 匹配规则 |
|---|---|---|---|
| Claude | claude | DALL-E | dall |
| DeepSeek | deepseek | Grok | grok |
| Gemini | gemini | MoonShot | moonshot|kimi |
| WenXin | wenxin|ernie | DouBao | doubao |
| HunYuan | hunyuan | Cohere | command |
| GLM | glm | Llama | llama |
| Qwen | qwen|qwq|qvq | ChatGPT | gpt|o1|o3 |
| Mistral | mistral | Yi | yi |
| SenseNova | sensenova|sense | Spark | spark |
| MiniMax | minimax|abab | HaiLuo | hailuo |
| Gemma | gemma | StepFun | stepfun |
| Ollama | ollama | ComfyUI | comfyui |
| VolcEngine | volcengine | VertexAI | vertexai |
| SiliconCloud | siliconcloud | Perplexity | perplexity |
| Stability | stability | Flux | flux |
支持vercel一键部署：
docker只需要替换官方yidadaa/chatgpt-next-web:版本号为tianzhentech/chatgpt-next-web:latest即可
其余配置与官方一致，详细使用请参考NextChat
| 类型 | 状态 | 标识规则 | 稳定性 | 生命周期 | 原分支替代关系 |
|---|---|---|---|---|---|
| 预发行版 | 🔄 活跃 | 与正式版版号一致，但有预发行标签 | 会多次合并提交 | 替代原preview分支 | |
| 正式发行版 | ✅ 稳定 | vX.Y.Z | ✔️ 生产 | 由预发行稳定后诞生 | 合并原mini分支特性 |
| preview分支 | 🚫 废弃 | - | - | 已合并到main分支 | 功能由预发行版承接 |
| mini分支 | 🚫 废弃 | - | - | 特性已整合到正式版 | 不再独立维护 |
from https://github.com/NeatChat/NeatChat
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