Scholar All-In-One: A research infrastructure for AI agents
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Updated
Oct 27, 2026 - Python
Scholar All-In-One: A research infrastructure for AI agents
Multi-agent AI scientist that turns experimental data into > publication-ready research papers.
Open-source coding agent for scientific software and everyday engineering. Bring your own models, delegate bounded work, and inspect execution records.
A co-scientist skill suite for Agent Assisted Science: ledger, reasoning chain, stats audit, literature scan, number reporting.
Agent skills for long optimization campaigns on open benchmarks: ecdsa.fail, the Proximity Prize and Kaggle.
From installing an AI agent to putting it to work: a clinic on Human+AI collaboration and co-evolution aimed at deepening understanding, sharpening judgment, and expanding human capability
BioNexus is an agentic science system that runs experiments end to end — hypothesis portfolios, safety-gated labs (simulated or real instruments), verdicts with confidence intervals against pre-registered criteria, and tamper-evident provenance. Includes an offline eval suite. Domain-agnostic core.
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