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ai-research-assistant

Here are 40 public repositories matching this topic...

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 Sep 6, 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

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 Sep 7, 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

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

🧠 Self-learning AI research assistant with 66-agent orchestration, MCP server, and real-time citation graph visualization. Process 1000+ papers/minute with 150x faster vector search.

  • Updated Nov 25, 2025
  • TypeScript

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