scira

Thu, 03 Jul 2025 15:29:31 +0800

zaidmukaddam/scira

Scira

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

Powered By

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<a href="https://tavily.com">
  
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Vercel AI SDK - For AI model integration and streaming
Tavily AI - For search grounding and web search capabilities

Special Thanks

Warp, the intelligent terminal

Available for MacOS, Linux, & Windows
Visit warp.dev to learn more

Features

Core Search & Information

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 & Research

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

Entertainment & Media

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

Financial & Data Analysis

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

Location & Travel

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

Productivity & Utilities

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

Search Groups

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

LLM Models Supported

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

Built with

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

Deploy your own

Set Scira as your default search engine

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.
Go to the search engine settings:
- In the left sidebar, click on “Search engine.”
- Then select “Manage search engines and site search.”
Add a new search engine:
- Click on “Add” next to “Site search.”
Set the search engine name:
- Enter Scira in the “Search engine” field.
Set the search engine URL:
- Enter https://scira.ai?q=%s in the “URL with %s in place of query” field.
Set the search engine shortcut:
- Enter sh in the “Shortcut” field.
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.

Local development

Run via Docker

The application can be run using Docker in two ways:

Using Docker Compose (Recommended)

Make sure you have Docker and Docker Compose installed on your system
Create a .env file based on .env.example with your API keys
Run the following command in the project root:
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docker compose up
The application will be available at http://localhost:3000

Using Docker Directly

Create a .env file based on .env.example with your API keys
Build the Docker image:
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docker build -t scira.app .

Run the container:

`1`	`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.

Run with Node.js

To run the application locally without Docker:

Sign up for accounts with the required AI providers:
- OpenAI (required)
- Anthropic (required)
- Tavily (required for web search feature)
Copy .env.example to .env.local and fill in your API keys
Install dependencies:
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pnpm install
Start the development server:
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pnpm dev
Open http://localhost:3000 in your browser

License

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

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