A minimalistic AI-powered search engine that helps you find information on the internet.

• Vercel AI SDK - For AI model integration and streaming
• Tavily AI - For search grounding and web search capabilities

• AI-powered search: Get answers to your questions using multiple AI models including xAI's Grok, Anthropic's Claude, Google's Gemini, and OpenAI's GPT models
• Web search: Search the web using Tavily's API with support for multiple queries, search depths, and topics
• URL content retrieval: Extract and analyze content from any URL using Exa AI with live crawling capabilities
• Reddit search: Search Reddit content with time range filtering using Tavily API
• X (Twitter) search: Search X posts with date ranges and specific handle filtering using xAI Live Search
• Extreme search: Advanced multi-step search capability for complex queries

• Academic search: Search for academic papers and research using Exa AI with abstracts and summaries
• YouTube search: Find YouTube videos with detailed information, captions, and timestamps powered by Exa AI

• Movie & TV show search: Get detailed information about movies and TV shows using TMDB API
• Trending movies: Discover trending movies with cast, ratings, and detailed information
• Trending TV shows: Find popular TV shows with comprehensive metadata

• Stock charts: Generate interactive stock charts with news integration using yfinance and Tavily
• Currency converter: Convert between currencies with real-time exchange rates using yfinance
• Code interpreter: Write and execute Python code with chart generation capabilities using Daytona sandbox

• Weather information: Get current weather and forecasts for any location using OpenWeather API
• Maps & geocoding: Find places and get coordinates using Google Maps API
• Nearby places search: Discover nearby restaurants, attractions, and services with Google Places API
• Flight tracking: Track real-time flight information using Aviation Stack API

• Text translation: Translate text between languages using AI models
• Date & time: Get current date and time in user's timezone with multiple format options
• Memory management: Add and search personal memories using Mem0 AI
• MCP server search: Search for Model Context Protocol servers using Smithery Registry

• Web: Search across the entire internet powered by Tavily
• Memory: Your personal memory companion (requires authentication)
• Analysis: Code execution, stock charts, and currency conversion
• Chat: Direct conversation with AI models
• X: Search X (Twitter) posts
• Reddit: Search Reddit posts
• Academic: Search academic papers powered by Exa
• YouTube: Search YouTube videos powered by Exa
• Extreme: Deep research with multiple sources and analysis

• xAI: Grok 3, Grok 3 Mini, Grok 2 Vision
• Google: Gemini 2.5 Flash (Preview), Gemini 2.5 Pro (Preview)
• Anthropic: Claude 4 Sonnet, Claude 4 Opus (with thinking capabilities)
• OpenAI: GPT-4o, o4-mini, o3 (with reasoning capabilities)
• Groq: Qwen QwQ 32B, Qwen 3 32B, Meta's Llama 4 Maverick

• Next.js - React framework
• Tailwind CSS - Styling
• Vercel AI SDK - AI model integration
• Shadcn/UI - UI components
• Exa.AI - Web search and content retrieval
• Tavily - Search grounding
• OpenWeather - Weather data
• Daytona - Code execution sandbox
• Google Maps - Location services
• Aviation Stack - Flight tracking
• TMDB - Movie and TV data
• Mem0 - Memory management
• Better Auth - Authentication
• Drizzle ORM - Database management

1. Open the Chrome browser settings:

   • Click on the three vertical dots in the upper right corner of the browser.
   • Select "Settings" from the dropdown menu.

2. Go to the search engine settings:

   • In the left sidebar, click on "Search engine."
   • Then select "Manage search engines and site search."

3. Add a new search engine:

   • Click on "Add" next to "Site search."

4. Set the search engine name:

   • Enter Scira in the "Search engine" field.

5. Set the search engine URL:

   • Enter https://scira.ai?q=%s in the "URL with %s in place of query" field.

6. Set the search engine shortcut:

   • Enter sh in the "Shortcut" field.

7. Set Default:

   • Click on the three dots next to the search engine you just added.
   • Select "Make default" from the dropdown menu.

After completing these steps, you should be able to use Scira as your default search engine in Chrome.

The application can be run using Docker in two ways:

1. Make sure you have Docker and Docker Compose installed on your system
2. Create a .env file based on .env.example with your API keys
3. Run the following command in the project root:

   docker compose up

4. The application will be available at http://localhost:3000

1. Create a .env file based on .env.example with your API keys
2. Build the Docker image:

   docker build -t scira.app .

3. Run the container:

   docker run --env-file .env -p 3000:3000 scira.app

The application uses a multi-stage build process to minimize the final image size and implements security best practices. The production image runs on Node.js LTS with Alpine Linux for a minimal footprint.

To run the application locally without Docker:

1. Sign up for accounts with the required AI providers:
   • OpenAI (required)
   • Anthropic (required)
   • Tavily (required for web search feature)
2. Copy .env.example to .env.local and fill in your API keys
3. Install dependencies:

   pnpm install

4. Start the development server:

   pnpm dev

5. Open http://localhost:3000 in your browser

This project is licensed under the Apache 2.0 License - see the LICENSE file for details.