轻量 AI 聊天界面与插件系统 |轻量 AI 聊天界面与插件系统

快速、轻便、可扩展 |快速、轻量、可扩展

英文 |中文

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英语

界面预览

主聊天界面

模型配置

插件市场

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为什么是ChatRaw？

许多开发者、AI硬件厂商和用户只需要一个简单、轻量级的应用，能快速展示模型能力。这就是我们创建ChatRaw的原因——一个极简、即用的聊天界面，几秒钟内即可部署。无需复杂配置，无需大量依赖——只有简洁、快速的AI聊天体验。

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Mac版ChatRaw版

ChatRaw 现已包含原生 macOS 桌面版本：ChatRaw for Mac。它将同样轻量级的网页界面包裹在 SwiftUI + WKWebView 桌面壳层中，自动启动本地 ChatRaw 后端，并通过本地 127.0.0.1 地址加载应用。这为 macOS 用户提供了双击桌面体验，同时保持与 web/Docker 版本相同的模型设置、插件系统、文档解析、图像理解和兼容 OpenAI 的 API 支持。

当前的macOS软件包主要针对苹果硅片，并要求macOS 14或更高版本。

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English

Interface Preview

Main Chat Interface

Model Configuration

Plugin Market

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Why ChatRaw?

Many developers, AI hardware vendors, and users just need a simple, lightweight application that can quickly demonstrate their model capabilities. That’s why we created ChatRaw - a minimal, ready-to-use chat interface that deploys in seconds. No complex configuration, no heavy dependencies—just a clean, fast AI chat experience.

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ChatRaw for Mac

ChatRaw now includes a native macOS desktop version: ChatRaw for Mac. It wraps the same lightweight web interface in a SwiftUI + WKWebView desktop shell, automatically starts a local ChatRaw backend, and loads the app through a local 127.0.0.1 address. This gives macOS users a double-click desktop experience while keeping the same model settings, plugin system, document parsing, image understanding, and OpenAI-compatible API support as the web/Docker version.

The current macOS package targets Apple Silicon and requires macOS 14 or later. A DMG package is available from Releases, and developers can also build and run it from source with the included script.

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Part 1: Core Features

Fast, Lightweight, Convenient

Core Highlights

• Native macOS App - ChatRaw for Mac provides a desktop shell with automatic local backend startup
• Ultra Lightweight - ~60MB memory footprint, optimized binary embedding storage
• Instant Startup - Ready in seconds with connection pooling for fast API calls
• Custom Branding - Freely customize name, logo, and theme
• Universal API Support - Works with any OpenAI-compatible API (Ollama, vLLM, LocalAI, LM Studio, etc.)