Scholar All-In-One — an academic harness for AI agents.
ScholarAIO provides the durable academic context and workflow contracts around a coding agent: evidence, project state, skills, CLI operations, research outputs, and verification. The active agent remains responsible for reasoning and orchestration.
In 2.x, All-in-One means one coherent academic workflow, not a distribution of every scientific package or a general autoresearch platform. See the repository-root strategy and the 2.x public contract.
toolrefdocument inspectacademic-writing to route reviews, guided deep reading, paper sections, rebuttals, posters, and technical reports to the right workflowpip install "scholaraio[full]"
scholaraio setup
See Installation for detailed instructions. See Upgrading To 2.0 for compatibility and migration guidance. 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 Library WebUI for browser-based filtering, ranked search, citation copy, and PDF workflows. See API Reference for Python module documentation.
| Mode | Interface | Best for |
|---|---|---|
| Agent | Supported coding agent | Full research workflow via natural language |
| CLI | Terminal | Scripting and automation |
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.