ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent.

Open source implementation and extension of Google Research’s PaperBanana for automated academic figures, diagrams, and research visuals, expanded to new domains like slide generation.

🔥 An autonomous AI agent that runs your deep learning experiments 24/7 while you sleep. Zero-cost monitoring, Leader-Worker architecture, constant-size memory.

freephdlabor: customizing personalized multiagent systems that researchs 24/7 on your own scientific problem

Fully Autonomous AI Research System with Self-Evolution, built natively on Claude Code

One file. Your AI agent becomes a scientist. 30+ experiments while you sleep.

A practical collection of plug-and-play starter blueprints for building autonomous AI apps with real APIs. Discover ready-to-build agent workflows, API stacks, architecture patterns, prompts, and monetization ideas for research agents, lead gen systems, SEO automations, MCP toolchains, and more.

Python toolkit for reproducible science. CLI commands, 371+ MCP tools, built-in skills. From raw data to manuscript — with reproducibility verification. For AI and human researchers.

De-Anthropocentric Research Engine — AI-powered academic research automation with deep literature survey, gap analysis, idea generation, experiment design & execution. Combines iterative deep research, adversarial debate, evolutionary generation, and distributed GPU execution.

Research automation skills for Claude Code. Idea to submittable paper in one session.

Autonomous AI backend for deep research AI applications.

Multi-agent research automation framework for LLM agents, with adversarial lab meetings, paper-review rounds, auditable Markdown workflows, an autonomous runtime watchdog, and a pixel-art web dashboard.

Distributed multi-agent research engine with dynamic strategy planning, durable stream-based coordination, and controlled synthesis

Karpathy's autoresearch loop for non-ML domains: outreach, prediction markets, prompts

Semi-automated research assistant and local knowledge base for paper analysis, ideation, coding, experiments, writing, and publication workflows.

AIRAS - an open-source project for research automation

GitHub template for autonomous strategic research using Claude Code

MCP server for arXiv.org - Search, analyze, and export academic papers with AI assistants. Features advanced paper discovery, citation analysis, trend tracking, and multi-format exports.

Autonomous AI experiment loop CLI -- run research overnight with any coding agent

arXiv MCP Server Client 🐙 enables AI assistants to search, retrieve, analyze, and summarize arXiv papers with features like author/category browsing, trends, and citation insights.