Literature Review
Top open-source Literature Review AI systems, agents, and MCP tools.
Discover and install verified Literature Review 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 (7)
Open in Advanced Filter医学论文写作与科研助手:面向中国医生和医学研究生的 32 个 Agent Skills,适用于 Claude Code、Codex,覆盖选题、PubMed 文献检索、中英写作、选刊投稿与审稿修回。Medical writing & research skills.
IncarnaMind is a free, open-source desktop app for macOS, Windows and Linux where you ask questions about your own documents (PDF, Word, PowerPoint, Excel and more) and write with AI. Every answer cites the exact page, and IncarnaMind checks that each quoted passage is really there.
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.
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.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
面向科研新手的 Codex 科研协作技能集:选题、文献检索与阅读、论文写作、自然润色、审稿返修和可编辑学术汇报。结合 Research-Starter-Kit 原创教程,用 1 个总入口与 6 个专业模块推进研究。 Research training, writing & editable presentations for Codex.
Build & Monetize for Literature Review
Have you created an autonomous agent, MCP server, or Claude Code skill for Literature Review? Publish it to AIStoreHub with dual-currency checkout (USD $ + INR ₹) and earn 85–90% net revenue.

