DeepChat AI - Open‑Source Chat UI for AI Assistants

VISIT DEEPCHAT AI

DeepChat AI Brief overview

DeepChat AI is an open‑source, fully customizable chat component you can embed into any website or web app to create AI assistants and chatbots. It focuses on the front‑end experience: message bubbles, file uploads, avatars, speech, and direct connections to popular AI APIs like OpenAI, Anthropic/Claude, Hugging Face, Cohere, Stability AI, AssemblyAI and more.

The project is maintained by developer Ovidijus Parsiunas and is licensed under the MIT license, meaning it is free to use, modify, and integrate in commercial projects.GitHub With around 3k+ GitHub stars and active releases, it has a visible developer community around it.

Simple how‑to‑use

At a high level, using Deep Chat involves three steps:

1. Install the package
   • For plain JS or most frameworks:
     npm install deep-chat
   • For React/Next:
     npm install deep-chat-reactGitHub
2. Add the chat component to your page
   • Basic usage in markup looks like: <deep-chat></deep-chat>
   • In React/Next you use the DeepChat component from deep-chat-react.GitHub+1
3. Connect it to an AI service
   You can either:
   • Point it to your own backend using the request/connect configuration (recommended for production).
   • Or, for quick prototyping, use directConnection to call AI APIs directly from the browser (OpenAI, Hugging Face, Cohere, Stability, etc.).

Deep Chat also provides ready‑made example servers (Express, NestJS, Spring Boot, Go, Flask, Next, SvelteKit) that already speak the correct request/response format, so you can stand up a working backend quickly.

Key features and functions

• Connect to any API
  Configure it to talk to your own service or directly to 20+ major AI APIs from the browser for demos and prototypes.
• Rich media support
  Send and receive images, audio, GIFs, spreadsheets, and other files directly inside the chat. Text messages support Markdown and custom HTML, so you can format answers, show code, and insert custom UI elements.
• Camera and microphone
  Capture photos via webcam and record audio through the microphone directly in the chat widget.
• Speech features
  • Speech‑to‑Text for voice input
  • Text‑to‑Speech so responses can be read aloud
  • Speech‑to‑Speech flows using compatible models (e.g., OpenAI Realtime)GitHub
• Framework flexibility
  Official examples exist for React, Vue, Svelte/SvelteKit, Angular, Solid, Next, Nuxt, and vanilla JS, making it easy to drop into almost any front‑end stack.
• Browser‑hosted models
  With the webModel option and a companion module, you can run an LLM entirely in the browser with no server connection.
• “Focus mode” and customization
  Highly configurable UI (avatars, layout, loading bubbles, tooltips, intro panels, custom buttons). A “focus mode” can show only the latest message pair for a modern AI‑assistant look.

DeepChat AI Pricing

Deep Chat (deepchat.dev) is distributed under the MIT open‑source license, so:GitHub

• The component itself is free to use for individuals, startups, and enterprises.
• You can use it in commercial projects without paying a license fee.
• The only costs you incur are from the AI APIs or infrastructure you choose (e.g., OpenAI usage, your hosting, etc.).

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