zaidmukaddam/scira

What it solves

Scira is an agentic research platform designed to accelerate the research process by automating the planning, retrieval, and citation of information. It replaces traditional search engines with an AI agent that can handle complex queries across multiple specialized sources, providing grounded answers with verifiable inline citations.

How it works

Users can input questions, upload PDFs, or provide URLs. The system uses an agentic workflow to break down complex questions into sub-tasks, search live sources using a wide array of tools, and cross-check evidence to generate a final response. It supports a vast range of LLM models from providers like OpenAI, Anthropic, Google, and DeepSeek.

Who it’s for

It is designed for researchers, developers, and anyone needing deep, cited research across the web, academic papers, academic papers, financial markets, and social media platforms.

Highlights

• Agentic Planning: Automatically breaks complex queries into multi-step workflows.
• Grounded Retrieval: Provides inline citations for every answer to allow for easy auditing.
• Extensive Toolset: Includes 28 tools for specialized search (Academic, Reddit, X, GitHub, YouTube, Spotify) and real-time data (Stocks, Weather, Maps, Flight tracking).
• Customizable Search Modes: Offers 17 different modes, including "Extreme" for deep research and "Academic" for scholarly sources.
• Lookouts: Ability to schedule recurring research agents to monitor specific topics and send email updates.
• Code Interpreter: Includes a sandboxed Python environment for executing code and generate charts.