Fernandofinyellow/llmchat

Most intuitive unified AI chat interface.

Most intuitive All-in-one AI chat interface.

Key Features

• 🧠 Multiple LLM Providers: Supports various language models, including Ollama.
• 🔌 Plugins Library: Enhance functionality with an expandable plugin system, including function calling capabilities.
• 🌐 Web Search Plugin: Allows AI to fetch and utilize real-time web data.
• 🤖 Custom Assistants: Create and tailor AI assistants for specific tasks or domains.
• 🗣️ Text-to-Speech: Converts AI-generated text responses to speech using Whisper.
• 🎙️ Speech-to-Text: (Coming soon) Enables voice input for more natural interaction.
• 💾 Local Storage: Securely store data locally using in-browser IndexedDB for faster access and privacy.
• 📤📥 Data Portability: Easily import or export chat data for backup and migration.
• 📚 Knowledge Spaces: (Coming soon) Build custom knowledge bases for specialized topics.
• 📝 Prompt Library: Use pre-defined prompts to guide AI conversations efficiently.
• 👤 Personalization: Memory plugin ensures more contextual and personalized responses.
• 📱 Progressive Web App (PWA): Installable on various devices for a native-like app experience.

Tech Stack

• 🌍 Next.js
• 🔤 TypeScript
• 🗂️ Pglite
• 🧩 LangChain
• 📦 Zustand
• 🔄 React Query
• 🗄️ Supabase
• 🎨 Tailwind CSS
• ✨ Framer Motion
• 🖌️ Shadcn
• 📝 Tiptap

Roadmap

• 🎙️ Speech-to-Text: Coming soon.
• 📚 Knowledge Spaces: Coming soon.

Quick Start

To get the project running locally:

Prerequisites

• Ensure you have yarn or bun installed.

Installation

1. Clone the repository:

   git clone https://github.com/your-repo/llmchat.git
   cd llmchat

2. Install dependencies:

   yarn install
   # or
   bun install

3. Start the development server:

   yarn dev
   # or
   bun dev

4. Open your browser and navigate to http://localhost:3000.

Deployment

Instructions for deploying the project will be added soon.