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方向榜单 Legacy

文献检索与引用218 SudeshDahale/AI-Research-Copilot · Luckyenough64/black-box-revelations · yishaik/web-terrarium
37 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. 文献发现 选题与研究问题 文献检索与全文获取 写作 Agent 智能体 Python 0 ★ 38 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. 文献发现 选题与研究问题 Agent 智能体 TypeScript 0 ★ 39 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. 文献发现 选题与研究问题 Agent 智能体 Python 0 ★ 40 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. 文献发现 选题与研究问题 Agent 智能体 JavaScript 0 ★ 41 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. 文献发现 选题与研究问题 工程化 Jupyter Notebook 0 ★ 42 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. 文献发现 选题与研究问题 评测基准 Python 0 ★ 43 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 文献发现 选题与研究问题 Agent 智能体 Python 0 ★ 44 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. 文献发现 选题与研究问题 Agent 智能体 Python 0 ★ 45 Lacenedihia/Google-Search-Ranking-Discoverability-Capstone 研究问题与暂定方向Research Question and Provisional Lane 文献发现 选题与研究问题 多模态 HTML 0 ★ 46 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. 文献发现 选题与研究问题 工程化 0 ★ 47 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. 文献发现 选题与研究问题 Agent 智能体 Python 0 ★ 48 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. 文献发现 选题与研究问题 工程化 Python 0 ★ 49 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 🎙️ 文献发现 选题与研究问题 Agent 智能体 Python 0 ★ 50 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. 文献发现 选题与研究问题 写作 评测基准 Python 0 ★ 51 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 文献发现 选题与研究问题 Agent 智能体 Python 0 ★ 52 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. 文献发现 选题与研究问题 MCP Agent 智能体 Python 0 ★ 53 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. 文献发现 选题与研究问题 数据与向量库 Python 0 ★ 54 Evolved-Designs/dystiny-research-paths 为更好的 AI 研究问题梳理清晰的来源、主张、变更与权衡路径Calm source, claim, change, and tradeoff paths for better AI research questions 文献发现 选题与研究问题 Agent 智能体 HTML 0 ★ 55 evakonstantinova/ResearchIQ-Copilot ResearchIQ Copilot 是一款 AI 驱动的学术研究助手,允许用户与研究论文对话、生成文献综述、识别研究空白、对比方法论、发现经核验的同行评审研究,并将研究成果导出为 PDF 报告ResearchIQ Copilot is an AI-powered academic research assistant that allows users to chat with research papers, generate literature reviews, identify research gaps, compare methodologies, discover verified peer-reviewed studies, and export research outputs as PDF reports. 文献发现 选题与研究问题 系统综述研究设计与方法 PDF RAG 检索增强 Python 0 ★ 56 Elaine-764/Statistical-Properties-of-Financial-Market-Returns 研究问题:流动性金融资产的相关性与波动率随时间有多稳定?常用的高斯性质在真实市场数据中是否成立?Research Questions: How stable are correlations and volatility over time in liquid financial assets? Do commonly assumed Gaussian properties hold for real market data? 文献发现 选题与研究问题 评测基准 MATLAB 0 ★ 57 drududuaomokaro/ScientiaPilot-Showcase ScientiaPilot 公开展示——从研究问题到发表全流程的科研出版操作系统。Public showcase for ScientiaPilot — a research publication operating system from research question to publication. 文献发现 选题与研究问题 Agent 智能体 0 ★ 58 dradhikac/ai-research-intelligence-platform 一个端到端的研究智能系统:摄取学术论文并进行语义理解,映射研究领域的关系与演进,探测尚未探索的研究空白,并使用多 Agent AI 流水线生成文献综述与回答研究问题——全部以纯 Python 构建。An end-to-end research intelligence system that ingests academic papers, understands them semantically, maps how research areas relate and evolve, detects unexplored research gaps, and uses a multi-agent AI pipeline to generate literature reviews and answer research questions — all built in pure Python. 文献发现 选题与研究问题 系统综述 Agent 智能体 Python 0 ★ 59 dg-vverma19/screen-time-impact-analysis- 使用 Kaggle 数据集分析屏幕时间对生产力多方面影响的研究问题This uses a dataset from Kaggle, to analyze multiple research questions on how screen time affects productivity in multiple aspects. 文献发现 选题与研究问题 工程化 HTML 0 ★ 60 cikarahmanniaf/bangalore-restaurants-analysis 基于 Kaggle Zomato Bangalore 数据集的餐厅数据分析与可视化,涵盖数据预处理、探索性分析、研究问题与可视化。Restaurant data analysis and visualization using the Zomato Bangalore dataset from Kaggle, covering data preprocessing, exploratory analysis, research questions, and visualization. 文献发现 选题与研究问题 数据与统计分析 可视化 工程化 Jupyter Notebook 0 ★ 61 chaturvediaksh1304-sudo/substrate AI 研究助手:覆盖从研究问题到文献综合、研究空白识别、假设生成与实验设计。AI research assistant: research question to literature synthesis, gap detection, hypothesis generation, and experiment design. 文献发现 选题与研究问题 Agent 智能体 Python 0 ★ 62 camila-vieirao/article-analyzer AI 驱动的工具,根据特定研究问题分析文章并对其效用进行排序AI-powered tool that analyzes articles and ranks their utility based on a specific research question 文献发现 选题与研究问题 评测基准 0 ★ 63 BluePinetree/MARS 从研究问题到论文——全自动化。基于多框架的机器学习研究流水线(CrewAI · AutoGen · LangGraph),支持流式 UI 与人在环控制。From a research question to a paper — automatically. Multi-framework ML research pipeline (CrewAI · AutoGen · LangGraph) with streaming UI and human-in-the-loop control. 文献发现 选题与研究问题 写作 Agent 智能体 Python 0 ★ 64 Atharv2122/Research-Paper-Ranking-Agent Research Paper Ranking Agent——用户向 Agent 提出研究问题,Agent 从 arXiv 检索学术论文,按相关性排序,并解释每篇论文排名的原因Research Paper Ranking Agent - a user gives the agent a research question, the agent retrieves academic papers from arXiv, ranks them according to relevance, and explains why each paper received its position. 文献发现 选题与研究问题 写作 Agent 智能体 Python 0 ★ 65 aroojfatima-27/multi-agent-research-automation 基于 n8n 构建的多 Agent AI 研究助手——输入主题后自动规划研究问题、检索网络并生成完整报告;由 Groq (Llama 3.3) + Tavily 驱动Multi-agent AI research assistant built with n8n — takes a topic, plans research questions, searches the web and generates a full report automatically. Powered by Groq (Llama 3.3) + Tavily. 文献发现 选题与研究问题 Agent 智能体 0 ★ 66 archanakrishna44/ux-quant-researcher 分阶段的 AI 研究伙伴,辅助 UX 设计师从研究问题到独立可验证报告的完整流程。A staged AI research partner that takes a UX designer from research question to independently verified report. 文献发现 选题与研究问题 Agent 智能体 Python 0 ★ 67 api-evangelist/fintool Fintool 是一款面向对冲基金、资管机构及买方/卖方分析师等机构投资者的 AI 驱动股票研究分析师与金融副驾驶。其助手可摄取 SEC 文件(10-K、10-Q、8-K)、财报电话会议记录与金融数据,并附带来源引用地回答研究问题,加速……Fintool is an AI-powered equity research analyst and financial copilot built for institutional investors such as hedge funds, asset managers, and buy-side and sell-side analysts. Its assistant ingests SEC filings (10-K, 10-Q, 8-K), earnings-call transcripts, and financial data to answer research questions with source citations, accelerating… 文献发现 选题与研究问题 RAG 检索增强 0 ★ 68 alexproductdesign/research-method-matrix 交互式矩阵:展示各类 UX 研究方法分别回答何种研究问题,覆盖 Discover/Design/Develop/Deploy 四个阶段。Interactive matrix: which UX research method answers which research question, across Discover/Design/Develop/Deploy. 文献发现 选题与研究问题 工程化 HTML 0 ★ 69 AJforge-dev/AI-Research-Agent 一个 agentic、循证的研究系统:通过工具调用、RAG 与显式的论据—来源核验从研究问题生成结构化、带引用的报告,避免盲目的 LLM 摘要;能识别来源冲突并如实报告不确定性An agentic, evidence-grounded research system that generates a structured, citation-backed report from a research question — using tool-calling, RAG, and explicit claim-to-source verification instead of blind LLM summarization. Detects conflicting sources and reports uncertainty rather than hiding it. 文献发现 选题与研究问题 引用 Agent 智能体 0 ★ 70 Aitherium/awresearch 提出研究问题,获得可核验的带引文报告Ask a research question, get a cited report you can check. 文献发现 选题与研究问题 RAG 检索增强 Python 0 ★ 71 Ahmadrezanourozii/Project-Time-Series 目标:将 State Space Models(SSM)/ Mamba 用于医学时间序列分析;总体研究问题:Mamba 模型能否提升基于步态信号检测帕金森病的分类模型性能: To use State Space Models (SSM)/ Mamba for medical time series analysis General research question: Can Mamba models improve the performance of classification models trained to detect Parkinson's disease using gait signals. 文献发现 选题与研究问题 LLM 基础设施 Python 0 ★ 72 Affect-Sense/scientific-reasoning-os 用于研究问题诊断和工作流支持的 Agentic 科学推理系统。Agentic scientific reasoning system for research-question diagnosis and workflow support. 文献发现 选题与研究问题 Agent 智能体 Python 0 ★