Overview:
Scira is an open-source agentic research platform designed to accelerate the process of gathering and synthesizing information. It takes a user's question, breaks it down into sub-tasks, conducts live searches across multiple sources, and returns answers with inline citations for verification. The platform is suitable for developers, researchers, and knowledge workers who need to conduct deep research on complex topics, monitor trending topics, or quickly retrieve grounded, cited information from the web, academic papers, social media, and financial markets.
Core Features:
Agentic Planning: Breaks down complex questions into a series of sub-tasks, selects appropriate models and tools, and executes multi-step workflows.
Grounded Retrieval: Delivers answers with inline citations from live sources, allowing users to click through and audit the evidence.
Lookouts (Scheduled Research Agents): Allows users to schedule recurring research agents that monitor specific topics, track changes, and send updates via email.
Extensive Search Modes (17 modes): Includes specialized modes for Web, X (Twitter), Stocks, Academic, Code, GitHub, YouTube, Reddit, Crypto, and Prediction Markets, among others.
Diverse Tool Ecosystem (28 tools): Integrates a suite of tools for search, financial data, location, media, and productivity, including a code interpreter, file query search, and connectors for Google Drive, Notion, and OneDrive.
Use Cases:
Conducting in-depth research: Researchers can use the "Extreme" mode to have the AI perform deep research across multiple sources with multi-step planning and analysis.
Monitoring trends and markets: Users can set up "Lookouts" to track specific stocks, cryptocurrencies, or prediction markets and receive email updates on changes.
Gathering context for software development: Developers can use the dedicated "Code" mode to obtain context about programming languages and frameworks, and the "GitHub" mode to find repositories.
Extracting and analyzing social media data: Users can search X posts, Reddit discussions, and YouTube content with specific filters and date ranges to understand public sentiment.
Why It Matters:
As an AGPL-3.0 licensed project, Scira offers an extensible and self-hostable alternative for teams that need an AI-driven research tool with full data control. Its architecture supports bringing your own models (BYOM) and connecting custom tools, allowing the platform to be tailored to specific workflows. The platform does not function as a simple chatbot; it is explicitly built for a multi-step, evidence-grounded research process with over a dozen targeted search modes and a wide array of integrated data sources.
