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ai-research-assistant

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deepdive

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.

  • Updated Oct 11, 2026
  • Python
project-thoth

An advanced AI-powered research assistant system built for flexibility, extensibility, and user control. Thoth combines intelligent automation with comprehensive customization — every prompt, schema, and source can be tailored to your workflow.

  • Updated Mar 4, 2026
  • Python

PaperWhisperer is an AI research workspace for reading papers and long documents. Upload PDF, DOCX, PPTX, or TXT files to get structured summaries, key citations, Mermaid visual maps, evaluations, and contextual follow-up Q&A.

  • Updated Oct 12, 2026
  • Python

小妍是一款面向科研学习与论文工作的 AI 研究助手。面对纷繁复杂的论文与信息,她帮你厘清研究脉络:输入一个主题,多 Agent 协作拆解学习路径、筛选必读论文,并生成结构化综述。 PDF 拖入即可分析,图表识别、复现建议与引用溯源无缝衔接;知识图谱则将论文、笔记与记忆编织为可检索的证据网络,让每个结论都有据可查。欢迎各位Star & PR。

  • Updated Oct 12, 2026
  • TypeScript

The Researcher's Operating System: a Claude Agent Skill for academic research, from first paper to PhD by Publication. 40 commands: supervisor, adversarial sweeps, rival audits, reading ledger, viva prep.

  • Updated Aug 2, 2026

Production-style AI knowledge platform for research papers using FastAPI, React, PostgreSQL/pgvector, Ollama, Docling, hybrid retrieval, cross-encoder reranking, streaming responses, and intent-based query routing.

  • Updated Jun 26, 2026
  • Python

DeepResValue 深度研值 — 全学科 AI 科研助手 Agent SaaS。中文一句话驱动:Agent 在 100+ 专业科研技能指导下自动写代码、云端执行(Python/R/MATLAB/SPICE 四大内核),覆盖空间计量、高级计量、生信分析、CAD 分析、机器学习、贝叶斯统计、结构方程、流行病学等前沿方法与论文写作、数据分析、文献综述、科学计算全流程,支持数学建模(CUMCM)、三创赛、挑战杯等国家级竞赛,自动生成 Word/LaTeX 专业排版,MCP 数十个数据源、BYOK 自接模型。让科研回归本质,让工具服务于思想,让创造不被重复所困

  • Updated Aug 25, 2026

AI Research Assistant is an intelligent web application that helps users analyze documents, search research content, and generate AI-powered answers. The project uses Retrieval-Augmented Generation (RAG) concepts to retrieve relevant information and provide accurate responses from research papers, notes, and documents.

  • Updated Jul 13, 2026
  • HTML

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