research-automation

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.

A blueprint-driven AutoResearch runtime for orchestrating AI research workflows from idea generation and experiments to paper writing and peer review.

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

Any research. One Claw. 🦞 From any materials to research with fully autonomous & skill-driven researcher.

Deepdive skill for Claude Code — 12-phase research pipeline: plan-review gate, parallel sub-agent search, claims-ledger triangulation with dissent protection, relevance × authority evidence filter, multi-angle red team, four-layer citation verification. 105 blocks, 29 channels, 460+ stat sources, 47 APIs, 1072 verified endpoints.

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.

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

Autonomous AI research swarm — runs ~100 overnight LLM training experiments unattended. Fork of karpathy/autoresearch with Digital Cognitive Labor routing.

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

Autonomous multi-branch research lab. Branches compete for compute budget. The system converges on what works.

88 installable open-source Agent Skills for research, social intelligence, marketing, and business workflows—compatible with Codex, Claude Code, Cursor, Gemini CLI, and DeepSeek Harness.

A curated hub of autonomous-research skills & agents — from idea to paper, on autopilot. | 自主科研技能与智能体精选库 —— 从灵感到论文全文，全程自动完成。

A Large-Scale Knowledge Graph for Automated Scientific Research

Claude Code-powered end-to-end meta-analysis automation: AI-assisted literature review, screening, extraction, analysis, and manuscript generation for systematic reviews and clinical evidence synthesis

Evidence-first AI workflow for economic and financial research: literature → identification → data → econometrics → verifiable LaTeX. 43 data sources, 58 method modules, 18 AI skills, 30 journal templates.

Autonomous AI backend for deep research AI applications.

Top Autonomous Research Multi-Agent System for 2026 Lab Experiments

Umbrella package for SciTeX — reproducible science from raw data to manuscript