ARI — Autonomous Research Infrastructure: end-to-end autonomous scientific research pipeline
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Updated
Sep 21, 2026 - Python
ARI — Autonomous Research Infrastructure: end-to-end autonomous scientific research pipeline
The mobile application for the MORE platform.
The Vue Frontend for the Studymanager
The Data gateway for the MORE platform.
The Backend for the More Studymanager
More-Tailored Keycloak
MORE-Specific Repackaging of Limesurvey
Running the MORE Platform on Docker
example study configurations and related content files
Multi-agent research pipeline (LangChain agents + LCEL chains) that searches via Tavily, scrapes sources, drafts a report with GPT-4o-mini, and self-scores it — CLI + Streamlit UI.
AI-powered Multi-Agent Research System using LangChain, OpenRouter, Tavily Search, and Web Scraping to generate high-quality research reports with Search, Reader, Writer, and Critic agents.
Auto-Researcher AI: An autonomous content transformation pipeline that extracts key insights, generates structured summaries, and produces publish-ready reports using intelligent agents.
Simple examples and descriptions how to extend the More Platform
To associate your repository with the researchautomation topic, visit your repo's landing page and select "manage topics."