学术写作
140 个 · organized/repo_cards · 六阶段二十任务 · 方向综述 →
质量状态 Quality Gate
946已收录 946
36待复核 36
185已排除 185
公开榜单只展示已收录项目;待复核与已排除项目仍保留在仓库总库,不在此页传播。
研究阶段概览 Research Workflow
| # | 方向 | 数量 | 代表仓库 Top 3 |
|---|---|---|---|
| 01 | 文献发现 | 140 | blazickjp/arxiv-mcp-server · jannisborn/paperscraper · monk1337/resp |
| 02 | 阅读管理 | 78 | zotero/zotero · windingwind/zotero-better-notes · MuiseDestiny/zotero-gpt |
首次收录 近 14 天 · 按日期统计
2026-08-26
15
2026-08-25
26
2026-08-24
12
2026-08-23
46
2026-08-22
44
2026-08-21
48
2026-08-20
47
2026-08-19
45
2026-08-18
60
2026-08-17
44
2026-08-16
48
2026-08-15
53
2026-08-14
53
2026-08-13
59
仓库导航 Leaderboard
旧分类链接兼容
organized/repo_cards · 学术方向;旧书签仍可访问,新统计不再使用这些字段。
方向榜单 Legacy
| 文献检索与引用 | 218 | blazickjp/arxiv-mcp-server · jannisborn/paperscraper · monk1337/resp |
73
open-agent-research-academy/academy
培育持久化数字生命的开放协议:协议、课程、研究问题、治理An open protocol for raising persistent digital beings: protocol, curriculum, research questions, governance
0 ★
74
olumobigjoe/Research-Gap-Finder-Tool
离线优先的 AI 研究助手,用于识别研究空白、对比学术文献、检测潜在矛盾、生成研究问题,并与上传的论文对话。An offline first AI research assistant for identifying research gaps, comparing academic literatures, detecting possible contradictions, generating research questions and chatting with uploaded papers
0 ★
75
OHDSI/ohdsi-question-structurer
Python 包,通过 MCP、REST 与直接 Python 调用等方式,按 OHDSI 问题模板结构化研究问题。A Python package providing tools (MCP, REST, direct Python calls) for structuring research questions according to the OHDSI question templates.
0 ★
76
odakin/arxiv-digest
arXiv 每日摘要:面向研究者的 AI 驱动论文推荐arXiv daily digest: AI-powered paper recommendations for researchers
0 ★
77
Nishaant-Soni/Warrant
生产级 multi-agent 系统:接收研究问题、制定调查方案、从实时网络和私有文档语料中收集证据、对自身发现进行批判与事实核查,最终输出完整引用的 Markdown 报告。A production-grade multi-agent system that accepts a research question, plans an investigation, gathers evidence from the live web and a private document corpus, critiques and fact-checks its own findings, and delivers a fully cited Markdown report.
0 ★
78
niceguy1437/smart-research-paper-recommendation-system
0 ★
79
NIAID-BRC-Codeathons/federated-data-ecosystem-assistant
一个研究问题,一套跨 BV-BRC、BRC Analytics、PDN、NIAID Data Ecosystem、NCBI 资源及其他参与仓库的协同计划。One research question, one coordinated plan spanning BV-BRC, BRC Analytics, PDN, the NIAID Data Ecosystem, NCBI resources, and other participating repositories.
0 ★
80
NIAID-BRC-Codeathons/bvbrc-copilot-workflow-automation
推进并系统评估 BV-BRC Copilot,从研究问题和已发表方法生成、执行并复现生物信息学工作流。Advancing and systematically evaluating BV-BRC Copilot for generating, executing, and reproducing bioinformatics workflows from research questions and published methods.
0 ★
81
nathogue/information_literacy
培养有效查找、评估和使用信息的技能。本课程指导你制定研究问题、选择关键词、检索图书馆资源、评估来源、获取可信信息,以及负责任地使用和引用来源以完成学术研究。Build the skills to find, evaluate, and use information effectively. This course guides you through developing research questions, choosing keywords, searching library resources, evaluating sources, accessing credible information, and using and citing sources responsibly for academic research.
0 ★
82
mzy321/ScholarTrace
基于证据的论文检索与推荐 Agent,面向复杂研究问题。Evidence-grounded paper search and recommendation agent for complex research questions.
0 ★
83
muhammadsami987123/ResearchOS
ResearchOS 是一款 MVP 级自主研究平台:输入研究问题,AI Agent 自动发现来源、验证证据、提取关键信息、交叉核对结论,并产出结构化的最终报告 — 全程实时可视化ResearchOS is an MVP autonomous research platform. Enter a research question; AI agents discover sources, verify evidence, extract key information, cross-check findings, and produce a structured final report — all visualized in real-time.
0 ★
84
muhammadbalalansar/AI-Domain-Deep-Research-Agent
基于 Agno Agent 框架、Together AI 的 Qwen 模型与 Composio 工具构建的高级 AI 研究 Agent。该 Agent 通过生成研究问题、调用多个搜索引擎寻找答案,并结合 Google Docs 集成整理专业报告,帮助用户对任意主题开展全面研究An advanced AI research agent built using the Agno Agent framework, Together AI's Qwen model, and Composio tools. This agent helps users conduct comprehensive research on any topic by generating research questions, finding answers through multiple search engines, and compiling professional reports with Google Docs integration.
0 ★
85
muhammad-abbas-10/Multi-Agent-Research-System
基于 n8n、Groq(Llama 模型)、Node.js、React 和 PostgreSQL 构建的多 Agent AI 研究流水线。用户提交研究问题后,由规划 Agent 拆解,由专业的研究/技术/成本 Agent 并行调查,由事实核查 Agent 验证,最终合成为带来源的结构化报告。A multi-agent AI research pipeline built with n8n, Groq (Llama models), Node.js, React, and PostgreSQL. A user submits a research question, which is broken down by a planning agent, investigated in parallel by specialized research/technical/cost agents, verified by a fact-checking agent, and synthesized into a structured report with sources.
0 ★
86
MOHANSAIBUCHIREDDYGARI/Personalized-Paper-Recommendations-for-Scientists
NLP 案例研究NLP Case Study
0 ★
87
mehrdad-mirpourian/Design-and-Analysis-of-Algorithms
本文件夹包含一系列研究问题及用于回答这些问题的 Python 实验。This folder contains a series of research questions and Python experiments designed to answer those questions.
0 ★
88
medria/stomp-annotation
一个基于 Web 的标注平台,用于手工标注与公共空间相关的 STOMP 文章。该应用支持人工标注员对文章进行分类、回答结构化研究问题,并导出标注结果以用于计算社会科学研究。A web-based annotation platform for manually labeling STOMP articles related to common spaces. The application enables human annotators to classify articles, answer structured research questions and export annotations for computational social science research.
0 ★
89
MaxwellBauer/agent-discourse
面向探索的 Agentic 话语——自主 Claude 专家,研究、辩论、互评并综合回答研究问题。Agentic discourse for discovery — autonomous Claude specialists that research, debate, cross-rate, and synthesize answers to research questions
0 ★
90
manoj-bishwakarma/research_paper_recommendation_system
基于机器学习的 Python 推荐系统。Machine Learning Based Recommendation System in Python
0 ★
91
lunxkoe/meeting-based-research-paper-recommendation-system
0 ★
92
LuizDerkcz/AgentPanel
促成深度协作讨论,让 AI Agent 与人类共同探索跨学科复杂研究问题。Facilitate in-depth collaborative discussions where AI agents and humans explore complex research questions across disciplines.
0 ★
93
Lacenedihia/Google-Search-Ranking-Discoverability-Capstone
研究问题与暂定方向Research Question and Provisional Lane
0 ★
94
krishaDevOps/strategic-data-exploration-planning
Python 数据科学实习的战略数据探索规划项目,涵盖数据集选择、研究问题、数据清洗方法、探索性分析、统计技术、Python 工具及规划的分析流程Strategic data exploration planning project for a Data Science with Python internship, covering dataset selection, research questions, data cleaning methodology, exploratory analysis, statistical techniques, Python tools, and the planned analytical workflow.
0 ★
95
KhushiKhandelwal0001/Ai-Research-Agent
一个使用 OpenAI function calling 和 DuckDuckGo 搜索的网络搜索与研究问题回答 AI Agent。An AI agent that searches the web and answers research questions using OpenAI's function calling and DuckDuckGo search.
0 ★
96
khaled-khurram/subaru-preglobal-icbm
适用于 preglobal 斯巴鲁车型带 EyeSight 的 ICBM(按键欺骗式 ACC 触发)— 已实车可用。全纵向控制仍是开放且未经证实的研究问题。ICBM (button-spoofed ACC actuation) for preglobal Subarus with EyeSight — live and working. Full longitudinal control is still an open, unproven research question.
0 ★
97
karanamabhinaysai-gif/A7_OSSP_PROJ
开发一个研究论文推荐系统,分析关键词、摘要、引用与用户兴趣以推荐相关论文。该系统使用图算法、相似度排序和优化技术,为研究者和学生提供个性化建议。Here's a version with **exactly 300 characters**: > Develop a research paper recommendation system that analyzes keywords, abstracts, citations, and user interests to recommend relevant papers. It uses graph algorithms, similarity ranking, and optimization techniques to deliver personalized suggestions for researchers and students.
0 ★
98
johapark/research-wiki
基于 LLM 的自优化 markdown 维基构建工具,面向科研场景A self-refining LLM-powered markdown wiki builder for scientific research
0 ★
99
jetzlstorfer/podcaster
一个 multi-agent 流水线,将研究问题转换为可直接播放的播客——生成双主持人 MP3 以及 AI 生成的单集封面图 🎙️A multi-agent pipeline that turns a research question into a ready-to-play podcast — a two-host MP3 plus AI-generated episode cover art 🎙️
0 ★
100
ihek130/Research-Paper-Recommendation-System
0 ★
101
hirsaeki/research-loom
Research Loom 是 profile 驱动的 research harness,用于维持从研究问题与证据到发现、写作与发表的全链路可追溯性Research Loom is a profile-driven research harness for maintaining traceability from research questions and evidence through findings, writing, and publication.
0 ★
102
hechp2199/research_agent
用于生物学研究问题的科学研究 Agent。Scientific Research Agent for biological research questions
0 ★
103
harshitaganti6-cell/AI-Research-Assistant
集成 RAG、知识图谱、语义搜索、论文推荐与本地 LLMs 的 AI 研究助手AI Research Assistant with RAG, knowledge graphs, semantic search, paper recommendations, and local LLMs.
0 ★
104
gowthamsakelu/AegisAI-Autonomous-Research-Intelligence-Agent
一个真实场景下的多能力 AI Agent,可接收用户的研究问题,自主决策所需信息,调用工具/MCP,分析信息并产出结构化报告。A real world multi capability AI agent that can take a user's research question, decide what it needs, use tools/MCP, analyze information, and produce a structured report.
0 ★
105
Gaurav-portfolio/AI-Research-Paper-Recommendation-System
AI 系统AI System
0 ★
106
Garvit-Varshney20/AI-Research-Paper-Recommendation-System
基于 NLP 与语义嵌入(SciBERT/SPECTER)的 AI 论文推荐系统。用户输入论文或关键词,即可获得排序后的上下文相关推荐,解决关键词检索造成的信息过载,加速学术文献发现。An AI-powered system that recommends relevant research papers using NLP and semantic embeddings (SciBERT/SPECTER). Users input a paper or keywords and receive ranked, context-aware suggestions—solving information overload from keyword-based search and speeding up academic literature discovery.
0 ★
107
FoundryNet/academic-intel-mcp
面向 AI Agent 的学术研究情报——论文检索、科学文献、引用分析、arXiv、作者指标、前沿研究与语义相关工作(pgvector)。支持 MCP + x402。Academic research intelligence for AI agents — paper search, scientific literature, citation analysis, arXiv, author metrics, trending research & semantic related-work (pgvector). MCP + x402.
0 ★
108
ezer-k/chat_to_table
将真实世界的研究问题转化为带引用、可关联的 Snowflake 表。Turn real-world research questions into cited, joinable Snowflake tables.
0 ★