学术写作

01 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 ★ 02 Jaiswal-Akshay/Research-Paper-Assistant 基于本地 RAG 的 AI 研究助手，用于分析学术论文、总结研究发现、对比研究，并以页级引用回答研究问题。构建于 Python、Streamlit、Chroma、Sentence Transformers、Ollama 和 Llama 3。An AI research assistant using local RAG to analyze academic papers, summarize research findings, compare studies, and answer research questions with page-level citations. Built with Python, Streamlit, Chroma, Sentence Transformers, Ollama, and Llama 3. 文献发现 选题与研究问题 写作 RAG 检索增强 Python 0 ★ 03 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 ★ 04 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 ★ 05 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 ★ 06 ashia-002/research-gap-discovery-agentic-orchestrator 多 Agent 研究编排框架，覆盖文献检索、论文分析、证据抽取、跨论文对比、知识综合与经过验证的研究空白发现。A multi-agent research orchestration framework for literature retrieval, paper analysis, evidence extraction, cross-paper comparison, knowledge synthesis, and validated research gap discovery. 文献发现 选题与研究问题 文献筛选与信息抽取 写作 Agent 智能体 Python 0 ★