π§ͺ Awesome list of AI Scientist papers, systems, benchmarks, datasets and open-source platforms.
A blueprint-driven AutoResearch runtime for orchestrating AI research workflows from idea generation and experiments to paper writing and peer review.
π¦+π¬ NanoResearch: The Autonomous AI Research Assistant
Scholar All-In-One: A research infrastructure for AI agents
A 267-skill research graph in pure markdown β 51 research operations built from 216 single-purpose steps, composed in any order with explicit backtracking. One npx install, no runtime, no MCP bindings. The AI is the researcher; you set the direction.
Typed-decision models (noul / choice / score) trained by a self-improving loop of AI agents β checkpoints, the code that produced them, and every version that failed.
Learning to Evaluate Before Improving: Automatic Rubric Induction for Automatic Research Agents
STEER β AI4R (AI for Research) experiment framework for auto-research and autonomous research. Connect existing research projects and let an agent edit code and train under governance: frozen task, scorer, and evidence.