scholaraio

ScholarAIO

Scholar All-In-One — A research infrastructure for AI agents.

ScholarAIO is a research infrastructure for AI agents. You interact with your literature knowledge base through natural language — searching, reading, analyzing, and writing — all from the command line.

Features

• PDF Ingestion: Convert PDFs to structured Markdown via MinerU (cloud or local)
• Publisher PDF Fetch: Download DOI or publisher-page PDFs through the user’s current legal access context, including direct campus-network mode and selected/all-library refetch
• Hybrid Search: FTS5 keyword search + FAISS semantic search + RRF fusion
• Topic Modeling: BERTopic clustering with interactive HTML visualizations
• Citation Graph: View references, citing papers, and shared references
• BibTeX Export: Filtered export with standard citation formats
• Paper Translation: Translate papers with concurrent chunked LLM calls and optional portable bundles
• Literature Exploration: Multi-dimensional OpenAlex queries with isolated data
• Workspace Management: Organize papers into subsets for focused work
• Federated Discovery: Search your library, explore silos, and arXiv in one flow
• Research Insights: Inspect search/read behavior trends and semantic neighbor recommendations
• Scientific Tool Docs: Query indexed official docs for scientific computing tools with toolref
• Extensible Tool Onboarding: Keep adding the next scientific tool users need through a documented onboarding workflow
• Office Document Inspection: Verify DOCX / PPTX / XLSX structure with document inspect
• Agent Skills: Reusable workflows for search, writing, scientific runtime, and more
• Writing Router: Start with academic-writing to route reviews, guided deep reading, paper sections, rebuttals, posters, and technical reports to the right workflow

Quick Start

pip install "scholaraio[full]"
scholaraio setup

See Installation for detailed instructions. If you are working from a local clone or contributing to ScholarAIO itself, use the editable install path shown there instead. See Agent Setup for repo-open vs plugin setup paths. See Repository Knowledge Map for the agent-facing documentation structure. See Agent Reference for the deeper agent, skill, and runtime map. See Translation Guide for translation, resume, and portable export behavior. See Insights Guide for reading/search behavior analytics. See API Reference for Python module documentation.

Two Usage Modes

Mode	Interface	Best for
Agent	Claude Code CLI	Full research workflow via natural language
CLI	Terminal	Scripting and automation

Repository Knowledge

ScholarAIO is agent-first infrastructure, so repository-local documentation is part of the runtime surface for agents. Start with Repository Knowledge Design, then follow the relevant design, product-spec, generated reference, guide, or API page.

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