HyperFlow: a scientific workflow engine
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Updated
Mar 7, 2026 - JavaScript
HyperFlow: a scientific workflow engine
A collection of tools for the analysis of nanocrystals.
Paired-scientist AI assistant for reproducible research — lightweight Go runtime, lifecycle hooks, manuscript integration, 12 baseline scientific skills. PicoClaw-compatible.
AITP Research Charter and Protocol: a charter-first protocol, contract, and adapter surface for AI-assisted theoretical physics research.
This repository contains exemplary workflow using programming tools and libraries for data rescue of historical biodiversity data. These tools combine OCR and text mining approaches to retrieve valuable information like species, functional traits and environments.
An operating system for autonomous research — from literature to manuscript inside a governed, checkpointed loop.
Local-first research planner template for wet-lab workflows, daily reports, dashboards, and history summaries.
R-LAM is a reproducibility-constrained execution framework for Large Action Models in scientific workflow automation. It enables adaptive, agent-driven workflow execution while enforcing strict guarantees on auditability, determinism, and replayability.
🌱 This repository is devoted to the emergence of Generative Simulation—a concept that hybridizes large language models (LLMs) and simulation. Simulation engines are developed or wrapped in such a way that they can be directly manipulated by generative AI, without requiring intensive retraining or fine-tuning.
Research Paper Automation Toolkit — Python tools that automate academic workflows: extract figures from PDFs, convert papers to PowerPoint slides, export annotations, generate LaTeX figure blocks, and synchronize PNG/PDF figure formats.
Scientific manuscript verification framework ensuring reproducibility through contract-driven testing
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