[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-83222":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":8,"htmlUrl":8,"language":9,"languages":8,"totalLinesOfCode":8,"stars":10,"forks":11,"watchers":12,"openIssues":13,"contributorsCount":13,"subscribersCount":13,"size":13,"stars1d":13,"stars7d":14,"stars30d":14,"stars90d":13,"forks30d":13,"starsTrendScore":15,"compositeScore":16,"rankGlobal":8,"rankLanguage":8,"license":8,"archived":17,"fork":17,"defaultBranch":18,"hasWiki":19,"hasPages":17,"topics":20,"createdAt":8,"pushedAt":21,"updatedAt":22,"readmeContent":23,"aiSummary":8,"trendingCount":13,"starSnapshotCount":13,"syncStatus":15,"lastSyncTime":24,"discoverSource":25},83222,"Research-Assistant","ganzi0412\u002FResearch-Assistant","ganzi0412",null,"Python",63,8,6,0,3,2,38.66,false,"main",true,[],"2026-05-22 09:57:25","2026-06-09 05:59:07","# 📚 Research Assistant Agent: 智能学术文献检索与阅读助手\r\n\r\nResearch Assistant Agent 是一个基于大语言模型（LLM）的自动化科研辅助工具。它能够根据你自定义的检索条件（如年份、模型、关键词等）从 arXiv 批量获取并下载论文，随后利用 AI 代理自动阅读原文、提取核心创新点，并根据你的研究偏好对文献进行智能打分。通过内置的 Web 交互页面，你可以直观地管理、筛选和对话式探索你的专属文献库。\r\n\r\n## ✨ 核心功能\r\n\r\n* 🔍 **自定义定向检索**: 支持从 arXiv API 精准拉取数据，可按年份（如 2023-2024）、特定领域、特定模型或作者进行组合检索，并自动下载 PDF 全文。\r\n* 🤖 **大模型批量精读**: 调用主流大模型对文献进行批量阅读，自动生成摘要、提取核心方法和 Baseline。\r\n* 📊 **智能文献打分**: 基于预设的评审 Prompt，为检索到的每篇论文生成 1-10 的推荐指数，帮你快速过滤水文，锁定高价值文献。\r\n* 💻 **可视化交互页面**: 开箱即用的 Web UI，支持：\r\n    * 可视化配置检索参数。\r\n    * 论文卡片式展示（包含标题、打分、AI 总结）。\r\n    * 针对单篇或多篇论文进行多轮对话（Q&A）。\r\n\r\n## 🛠️ 安装步骤\r\n\r\n建议提前配置好你的虚拟环境。\r\n\r\n**1. 克隆项目到本地**\r\n```bash\r\ngit clone [https:\u002F\u002Fgithub.com\u002FJellyfish0029\u002Flegere.git](https:\u002F\u002Fgithub.com\u002FJellyfish0029\u002Flegere.git)\r\ncd RAAgent\r\n","2026-06-11 04:10:26","CREATED_QUERY"]