Fully autonomous & self-evolving research from idea to paper. Chat an Idea. Get a Paper. 🦞
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Updated
Aug 19, 2026 - Python
Fully autonomous & self-evolving research from idea to paper. Chat an Idea. Get a Paper. 🦞
A blueprint-driven AutoResearch runtime for orchestrating AI research workflows from idea generation and experiments to paper writing and peer review.
🦞+🔬 NanoResearch: The Autonomous AI Research Assistant
Scholar All-In-One: A research infrastructure for AI agents
A 267-skill research graph in pure markdown — 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.
Any research. One Claw. 🦞 From any materials to research with fully autonomous & skill-driven researcher.
Fully Autonomous AI Research System with Self-Evolution, built natively on Claude Code
Autonomous multi-branch research lab. Branches compete for compute budget. The system converges on what works.
Turn ideas into autonomous research with Git-like evidence histories—inspectable, reproducible, and reversible.
An autonomous research agent that turns a topic into a peer-reviewed technical report
🧪 Awesome list of AI Scientist papers, systems, benchmarks, datasets and open-source platforms.
Top Autonomous Research Multi-Agent System for 2026 Lab Experiments
An open-source research system for autonomous investigation, recursive self-improvement, and human–AI collaboration. Run experiments, refine methods through evidence and feedback, and turn traceable research into paper drafts.
Claude Code plugin for autonomous AI research — multi-agent loops take a bare topic all the way to running experiments, with no human-written experimental code.
Top Autonomous Research Multi-Agent System for 2026 Lab Experiments
Typed-decision models (noul / choice / score) trained by a self-improving loop of AI agents — checkpoints, the code that produced them, and every version that failed.
Learning to Evaluate Before Improving: Automatic Rubric Induction for Automatic Research Agents
Vision: an economist-directed AI system that takes an economics research question from idea to working paper — identification judgment, adversarial self-refereeing, and total number provenance. Star if you want this to exist; open an issue with the feature you'd want first.
Autonomous AI experiment loop CLI -- run research overnight with any coding agent
To associate your repository with the autonomous-research topic, visit your repo's landing page and select "manage topics."