Ai Scientist Python Packages

gnosislab

A scientific-method runtime for AI agents: hypotheses, experiments, evidence, provenance, reproducibility, and auditable conclusions.

paper-search-mcp

MCP, CLI, Skills for searching and downloading academic papers from multiple sources like arXiv, PubMed, bioRxiv, etc.

wheeler

Turn Claude Code into an interactive scientific workspace: workflow, file system, and knowledge graph.

groundwork-research

Groundwork for AI research agents: the complete pipeline from a direction to a submission — with the one stage every other toolkit is missing, a gate that returns NO-GO. Four measurements before the first experiment, a pre-registration git can date, an archive of ten ways a direction dies. Claude Code / Codex / DeepSeek / Kimi. No dependencies.

claudescientist

An AI-driven research workflow for generating ideas, running experiments, and writing scientific papers.

paper-search-mcp-bruno

MCP, CLI, Skills for searching and downloading academic papers from multiple sources like arXiv, PubMed, bioRxiv, etc.

xscientist

Turn ideas into autonomous research with Git-like evidence histories—inspectable, reproducible, and reversible.

principia-ai

Local-first, cross-domain research framework for evidence-grounded idea generation.

audit-closed-ai-scientist

Benchmark for statistically valid AI scientist systems, using audit-closed protocols, transparency logs, and sequential inference to prevent false discoveries in autonomous research agents.