Paper Discovery
Top open-source Paper Discovery AI systems, agents, and MCP tools.
Discover and install verified Paper Discovery 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 (10)
Open in Advanced FilterAn agent skill for finding papers worth reading—trace research lineages, map evidence networks, and weigh supporting and conflicting findings to guide your next research decision.
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.
Fully Autonomous AI Research System with Self-Evolution, built natively on Claude Code
Publisher-aware full-text PDF fetcher — DOI in, PDF out via OA → publisher TDM APIs → your own institutional proxy. Download end of a paper pipeline; pair with paper-radar (discovery) and paper-review-and-digest (reading).
Fully Autonomous AI Research System with Self-Evolution, built natively on Claude Code
A curated, multilingual library of 182 installable AI agent skills for end-to-end academic research—spanning literature discovery, scientific writing, grant development, bioinformatics, drug discovery, clinical research, machine learning, and data analysis.
論文學習雷達 — a personal literature-tracking & learning radar: dozens of journal/PubMed feeds → interest-scored → private web triage → flows into your notes. Discovery end of a pipeline: pair with paper-fetch (full-text download) and paper-review-and-digest (appraisal/digest).
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.
The most complete open-source, self-hosted Agentic Trading OS—AI research, Python strategies, factor discovery, backtesting, optimization, paper/live multi-asset execution, risk controls, monitoring, MCP, and multi-tenant SaaS in one auditable stack.
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 Paper Discovery
Have you created an autonomous agent, MCP server, or Claude Code skill for Paper Discovery? Publish it to AIStoreHub with dual-currency checkout (USD $ + INR ₹) and earn 85–90% net revenue.