Research Automation
Top open-source Research Automation AI systems, agents, and MCP tools.
Discover and install verified Research Automation AI systems, autonomous agent skills, and Model Context Protocol servers on AIStoreHub. Reusable, security-scanned, and ready for 1-click execution in Cursor, Claude Code, and terminal workflows.
Available AI Systems & Skills (17)
Open in Advanced FilterA Large-Scale Knowledge Graph for Automated Scientific Research
🔥 An autonomous AI agent that runs your deep learning experiments 24/7 while you sleep. Zero-cost monitoring, Leader-Worker architecture, constant-size memory.
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.
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.
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.
Autonomous multi-branch research lab. Branches compete for compute budget. The system converges on what works.
Fully Autonomous AI Research System with Self-Evolution, built natively on Claude Code
seanswarm: multi-agent workflow pack for coding agents (Claude Code / Codex / Cursor) - evidence-governed research fan-out, dual-read docs, dev delivery with independent review, and visual acceptance gates.
Multi-agent workflow skills for mainstream coding agents (Claude Code / Codex / Cursor): evidence-governed research fan-out, dual-channel document reading, dev delivery with independent review and visual acceptance.
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.
Top Autonomous Research Multi-Agent System for 2026 Lab Experiments
One file. Your AI coding agent becomes a scientist. 30+ experiments while you sleep.
AI Multi-Agent Market Lab 2026 - Auto-Research & Experiment Manager 🧪🤖
SuperARIS — Your personal research agent with ARIS (Auto Research In Sleep), powered by a team of agents.
Top Autonomous Research Multi-Agent System for 2026 Lab Experiments
Fully Autonomous AI Research System with Self-Evolution, built natively on Claude Code
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.
Build & Monetize for Research Automation
Have you created an autonomous agent, MCP server, or Claude Code skill for Research Automation? Publish it to AIStoreHub with dual-currency checkout (USD $ + INR ₹) and earn 85–90% net revenue.