Scholar All-In-One: A research infrastructure for AI agents
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Updated
Jul 29, 2026 - Python
Scholar All-In-One: A research infrastructure for AI agents
Production-grade scaffold for reproducible computational research — 10-stage DAG pipelines, ≥90% test coverage, cryptographic provenance (SHA-256 + steganographic PDF watermarking), multi-project workspace, AI-agent-ready with AGENTS.md / SKILL.md throughout.
Cogito: Computational framework employing a Syncretic Catalyst (synthesis) & rigorous Critique System (analysis) autonomously. Deeply accelerates your expert research on scientific literature via LLMs/ArXiv.
Build first-person immersive sims in Godot 4 with a ready-made template featuring interactable objects, item use, and player mechanics.
ENCORE Supplementary Material
Read-only evidence reconstruction and safe curation for computational research repositories
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.
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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