Scholar All-In-One: A research infrastructure for AI agents
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Updated
Sep 25, 2026 - Python
Scholar All-In-One: A research infrastructure for AI agents
GitHub template for reproducible research repos — two-layer Python 3.10+/uv monorepo splitting generic infrastructure from per-project code, with pytest coverage gates (60% infra, 90% projects), a 17-stage build pipeline, markdown-to-PDF rendering via pandoc/LaTeX, and 24 canonical exemplars.
Cogito: Computational framework employing a Syncretic Catalyst (synthesis) & rigorous Critique System (analysis) autonomously. Deeply accelerates your expert research on scientific literature via LLMs/ArXiv.
Read-only evidence reconstruction and safe curation for computational research repositories
Formal Verification of Whittaker-Type Zero-Invariant Fields and Receiver Symmetry Breaking in Lean 4 and SystemVerilog.
Computational research application simulating altered-state AI perception with structured-light visual stimuli
ENCORE Supplementary Material
Python template for single-method computational research: algorithms in src/, seeded experiments, auto-generated figures, and a manuscript where every number is a token filled from code. uv, pytest at 90% coverage, Zenodo/PyPI/arXiv publishing.
Accepted-manuscript reproducibility materials for Ethics, Computation, and Institutional Linkages in AI and Mental-Health Research.
Governed AI work runtime for durable delegated work, explicit execution authority, and reproducible computational research.
An auditable workbench for agent-assisted computational research—turning evidence, experiments, analyses, and decisions into reviewable, replayable state.
Historical computational research archive for the ARARA Space Telescope program, including reproducible milestone code, tests, preregistrations, and SHA-256 provenance.
Computational nanomedicine research platform for formulation simulation, virtual screening, DOE, validation, uncertainty analysis and scientific reporting.
A scientific data analysis and computational research focussed on Data Science Applications for Host-aware exoplanet habitability ranking framework using planetary proxies, stellar stability analysis, and UV-informed prioritization under incomplete astronomical data.
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