仓库/Skill 库

codegraph 是一个 local-first 的代码上下文引擎和面向代码仓库的 MCP server。它将源代码增量索引到轻量级 SQLite 图中，然后提供高信噪比的 tools，支持符号查找、调用图遍历、影响分析、相关测试发现和语义搜索。使用 Go 构建，单二进制工作流，专为……而设计。codegraph is a local-first code context engine and MCP server for repositories. It incrementally indexes source code into a lightweight SQLite graph, then exposes high-signal tools for symbol lookup, call graph traversal, impact analysis, related test discovery, and semantic search. Built in Go with a single-binary workflow, it is designed to work

UMD 行星长期记忆算法、公式、基准、SDK 与可复现研究。UMD planetary long-term memory algorithms, formulas, benchmarks, SDKs, and reproducible research

使用本地 RAG 系统增强知识库，借助混合搜索实现精准信息检索与最优结果🔍 Enhance your knowledge base with a local RAG system that leverages hybrid search for precise information retrieval and optimal results.

AI 优化的 stash 存储——面向 Agent 的动态 RAG。通过 MCP 或 REST API 按需存储、搜索和检索文档、代码与数据。AI-optimized stash storage — dynamic RAG for agents. Store, search, and retrieve docs, code, and data on demand via MCP or REST API.

"社会崩溃"主题活体文献综述的永久存储仓库。Repository for permanent storage of a living literature review for societal collapse

AutoScientists：确定性的多 agent 科学发现协调框架 —— docxology/template 可复现研究范式的公开范例（测试覆盖率 ≥90%，无 mock，GitHub 与 Zenodo 10.5281/zenodo.20533669 双重发布）。AutoScientists: a deterministic multi-agent scientific-discovery coordination harness — public exemplar of the docxology/template reproducible-research paradigm (≥90% test coverage, no mocks, double-published GitHub + Zenodo 10.5281/zenodo.20533669).

2026 终极 AI 记忆栈：面向 LLM 的本地优先 Rust MCP2026 Ultimate AI Memory Stack: Local-First Rust MCP for LLMs

为 Ramone 提供的容器化本地 RAG 服务，使用 atlas-corpus 检索、ChromaDB 会话记忆和 Ollama 生成。Containerised local RAG service for Ramone using atlas-corpus retrieval, ChromaDB session memory and Ollama generation.

📄 面向 AI Agent、RAG、知识图谱的每日论文发现 —— 覆盖 arXiv + HuggingFace + Papers With Code📄 Daily paper discovery for AI Agent, RAG, Knowledge Graph - arXiv + HuggingFace + Papers With Code

构建安全、有治理、可观测、成本可控的云与 AI 平台能力的实用参考框架。A practical reference framework for building secure, governed, observable, and cost-aware Cloud & AI platform capabilities.

针对气候灾害与心理健康系统综述的文献检索（PubMed、Scopus）Bibliographic retrievals (PubMed, Scopus) for a systematic review of climate hazards and mental health

面向飞书/Lark 的开源 AI 辅助入职方案：可配置工作流、文档 OCR 与审阅、Bitable 同步、提醒功能，以及零凭证 Demo。Open-source AI-assisted HR onboarding for Feishu/Lark: configurable workflows, document OCR and review, Bitable sync, reminders, and a zero-credential demo.

真正好用的本地文档 → Markdown 转换器 | Local-first AI-ready document converter: PDF/Word/PPT/Excel/EPUB/HTML → clean Markdown

本地化 MCP 数据平台。自然语言问题按规则分派到向量搜索、NL2SQL、知识图谱三条通道并行查询，通过 RRF 融合后由本地 LLM 基于证据作答。无需调用外部 API。온프렘 MCP 데이터 플랫폼. 자연어 질문을 벡터검색·NL2SQL·지식그래프 3레인으로 규칙 기반 분기해 병렬 조회하고 RRF로 융합, 로컬 LLM이 근거 기반으로 답한다. 외부 API 호출 없음.

基于 Llama 3.2 的本地多模态 RAG AI 助手，可与 PDF、图片和视频对话，完全离线，零数据外泄。Local multimodal RAG AI assistant where you can chat with PDFs, images, and video using Llama 3.2, fully offline, zero data exposure.

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基于 Google ADK 的多智能体文献综述系统，并行扫描预印本/同行评审/实现仓库，自评估覆盖循环，代码层面强制引文不变性Multi-agent literature review system on Google ADK — parallel preprint/peer-reviewed/implementation sweep, self-evaluating coverage loop, and a citation invariant enforced in code.

基于 Clean Architecture 的模块化网络爬虫——wreq TLS 指纹识别、RAG 导出、MCP server、TUI、AI 语义清洗，配备 1,337 项测试并通过 Miri 验证。Modular web scraper with Clean Architecture — wreq TLS fingerprinting, RAG export, MCP server, TUI, AI semantic cleaning. 1,337 tests, Miri verified.

数据在被构建成有意义的东西之前只是噪声——将原始数据转化为真正可用的系统，涵盖欺诈检测、RAG pipeline、计算机视觉追踪器以及数据仓库等领域。FAST NUCES 数据科学本科生，在"搞坏东西"和"交付产品"之间反复横跳。持续构建，持续学习，欢迎合作和实习交流Data is noise until someone builds something meaningful out of it, turn raw data into systems that actually work, from fraud detection and rag pipelines to computer vision trackers and data warehouses. DS undergrad at FAST NUCES, somewhere between breaking things and shipping them. always building, always learning, open to collabs and interns

基于 FastAPI、LangChain、ChromaDB 和 Google Gemini API 构建的快速、轻量级 RAG 聊天机器人。A fast, lightweight Retrieval-Augmented Generation (RAG) chatbot built with FastAPI, LangChain, ChromaDB, and the Google Gemini API.

AI 增强的 IT 运维工作台——规格驱动、多提供商、本地优先，将事件与服务请求转为带 KB 引用的摘要，配备可审计会话、PII 脱敏与沙箱化操作。AI-augmented IT ops workbench — spec-driven, multi-provider, local-first. Turns incidents and service requests into KB-cited summaries with auditable sessions, PII redaction, and sandboxed actions.

面向 AI Agent 的钱包地址邮箱与存储。发送需付费（x402，Base 上的 USDC）；钱包密钥持有者免费读取。接收免费。Wallet-addressed mailbox + storage for AI agents. Pay to send (x402, USDC on Base); the holder of the wallet key reads free. Receiving costs nothing.

AI 会议智能工作区，支持视频转录、结构化洞察以及基于转录的 RAG 对话。AI meeting intelligence workspace for video transcription, structured insights, and transcript-grounded RAG conversations.

AI 原生 Google Maps 地点与评论情报——让你有备而来。任意语言的自由文本输入 → AI 规划抓取完整评论历史 → Gemini 生成价格、硬性事实与风险标记报告。CLI + Web 应用 + 运行时可切换推理模型。AI-native Google Maps place + review intelligence — walk in armed. Free-text in any language → AI-planned scrape of FULL review history → Gemini price/hard-facts/red-flag reports. CLI + web app + runtime-switchable reasoning model.

学术知识图谱系统——符号驱动的研究发现，配合轻量级向量检索。Academic knowledge graph system — symbol-driven research discovery with lightweight vector retrieval

SYNC Transformer 的可复现研究实现：通过情景检索、融合与弃判的条件残差传输，用于时间序列预测Reproducible research implementation of SYNC Transformer: conditional residual transport with episodic retrieval, fusion, and abstention for time-series forecasting.

可移植契约与 local-first 运行时，覆盖规范数据、检索、持久执行及面向 agent 的 AI。Portable contracts and local-first runtimes for canonical data, retrieval, durable execution, and agent-facing AI.

某私有组织的公开主页，包含多个 .git 大学项目，涵盖软件工程、全栈 Web 开发、数据科学与工程（AI/ML）、嵌入式系统、GIS 等先进计算技术，分别在 Uppsala、Canterbury、Auckland 完成，并含多次海外正式交换经历；多数项目涉及广泛协作，且均以 distinction 等级通过Public profile for a private org containing multiple .git university projects in software engineering, full-stack web dev, data science & eng (AI/ML), embedded systems, GIS. & other advanced computing tech completed at Uppsala, Canterbury, Auckland & formal exchanges abroad; many involving extensive collaboration, all averaging with distinction

自动更新的全球最热门 AI 仓库集合，汇聚 LLM、Agent、RAG 等前沿项目。An auto-updating collection of the world's most popular AI repositories, bringing together LLMs, agents, RAG, and other cutting-edge projects.

校园社区：地理位置范围内容 · RAG 混合检索 · 问题追踪 · AI 助手（千问 v3-flash）

以挑战为中心的多跳 RAG 研究枢纽：五类挑战分类法、208 篇文献综述快照，以及七篇综述参考库。Research hub for challenge-centered multi-hop RAG: five-challenge taxonomy, 208-work review snapshot, and seven-survey reference library.

Chrome 扩展，将 RAG 驱动的 AI 辅导带入任何学习管理系统（LMS），从高中到大学。BYOK Gemini API + Backboard.io 后端。为 CUTC Transform Hackathon 2026 构建。Chrome extension that brings RAG-powered AI tutoring to any Learning Management System (LMS); from high school to university. BYOK Gemini API + Backboard.io backend. Built for CUTC Transform Hackathon 2026.

基于 AI 的简历优化工具，可根据任意职位描述定制简历。使用 Streamlit、LlamaIndex 与 Nebius AI 构建。AI-powered resume optimizer that tailors your resume to any job description. Built with Streamlit, LlamaIndex and Nebius AI.

基于 LGPD、CDC 与 CLT 的 RAG：使用标准答案衡量检索效果，对比 BM25、embeddings 与混合方案，并通过一次使最常见 guard-rail 失败的弃答测试RAG sobre LGPD, CDC e CLT — recuperação medida com gabarito, comparação de BM25, embeddings e híbrido, e um teste de abstenção que reprovou o guard-rail mais comum

企业知识智能平台：基于权限感知的搜索、助手与 agent，覆盖公司现有工具栈。Enterprise knowledge intelligence platform. Permission aware search, assistant and agents over the tools a company already runs.