仓库/Skill 库

Open Paper 是用于管理研究文献库的工作台，集阅读、批注与理解于一体，可借助 AI 助手开展文献综述Open Paper is a workbench for managing your research library. Read, annotate, and understand your papers all in one place. Use an AI assistant to conduct your literature review.

一个易用的模块化 RAG 框架An easy-to-use framework for modular RAG

带标签、评分与 LLM 的新闻阅读器News reader with tags, scoring, and LLM

将任意书籍蒸馏到其骨架distill any book down to its spine

按性价比排序的循证生活指南：长寿防病、急救、省钱理财、法律红线、失业与工伤、医保社保、恋爱婚育、怀孕育儿、创业与做平台合规、出国与技能。每条写明成本、收益、证据等级和原始出处，只引期刊论文与官方文件。

📚 PaperFlow：动态个性化的科学论文推荐、阅读与报告生成📚 PaperFlow: Dynamic personalized scientific-paper recommendation, reading, and reporting

grep by meaning, across languages. TypeSafe Jev scores every line against a meaning; combine meanings with AND/OR/NOT. 意味で探す grep。日本語で英語を、英語で日本語を検索できる

该 Web 应用基于 OpenAlex（OA）、Semantic Scholar（S2）与 Crossref（CR）的元数据，结合本地引文网络，辅助科研人员开展文献综述This web app aims to help scientists with their literature review using metadata from OpenAlex (OA), Semantic Scholar (S2) and Crossref (CR) in local citation networks.

デジタル庁のガバメントAI「源内(GENAI)」を完全ローカル(ローカルLLM/OpenAI互換)で動かす非公式プロジェクト。SAML認証(Keycloak)・RAG(Qdrant)・文字起こし(Whisper)・画像生成(SD)・チーム単位ナレッジをローカル完結。

面向 Overleaf 的 AI 驱动引用搜索与论文审阅 Chrome 扩展插件。类似 Google Scholar，但内置于 Overleaf 中。同时兼容 OpenAI Prism 和 Opera。AI-powered citation search & paper review for Overleaf — Chrome extension. Think Google Scholar but inside Overleaf. Also works with OpenAI Prism, & Opera.

针对给定查询进行网页爬取以获取文章，返回包含标题、摘要、DOI 和参考文献的电子表格。Web scraping to get articles for a given query. It returns an spreadsheet with titles, abstracts, doi and references of the article

乔木剪藏：剪藏网页到 Obsidian，阅读、编辑，并向 AI 提问 | Clip the web to Obsidian, then read, edit and chat with AI about it.

本地代码搜索，结合 BM25、向量相似度与 cross-encoder 重排序。使用 tree-sitter 解析 60+ 种语言，完全离线运行，返回包含文件路径、行号范围与符号元数据的结构化结果。使用 Rust 构建。Local code search combining BM25, vector similarity, and cross-encoder reranking. Parses 60+ languages with tree-sitter, runs entirely offline, and returns structured results with file paths, line ranges, and symbol metadata. Built in Rust.

自托管 AI 聊天平台，支持多步工具调用、持久化 Python 沙箱、RAG 和 Deep Research。支持 Claude、GPT、Gemini 及任何 OpenAI 兼容服务商。Self-hosted AI chat platform with multi-step tool calls, persistent Python sandbox, RAG, and Deep Research. Supports Claude, GPT, Gemini and any OpenAI-compatible provider.

基于定义你所在领域的论文的科研反馈Research feedback grounded in the papers that define your field

品牌面向 AI 定义自我的开放社区。An open community where brands define themselves for AI

面向实验的 GenAI/RAG 优化器与工具包，基于 Oracle Database AI Vector Search 与 NL2SQLGenAI/RAG Optimizer and Toolkit for experimentation using Oracle Database AI Vector Search and NL2SQL

为大型语言模型（LLM）和 RAG 系统转换并优化你的 markdown 文档，自动生成 llms.txt。Transform and optimize your markdown documentation for Large Language Models (LLMs) and RAG systems. Generate llms.txt automatically.

FactCircuit：具备不可篡改来源、分阶段检查、有界检索与可复现评估的可审计主张-证据验证回路。FactCircuit: an auditable claim-and-evidence verification loop with immutable provenance, staged checks, bounded retrieval, and reproducible evaluation.

技術書を読みながら、気になった箇所を選択して AI に質問できる PDF リーダー

在单台 DGX Spark 上运行 Qwen3.8-Flash-Next (180B)，方法是将 51B 的 n-gram embedding 表存放在 NVMe 上Run Qwen3.8-Flash-Next (180B) on a single DGX Spark by keeping its 51B n-gram embedding table on NVMe

📚 只引用你能够核实的内容📚 Only Cite what you can verify

A seven-phase, problem-driven Claude Custom Skill that transforms literature review writing from "summarizing what scholars said" into "constructing a scholarly argument." 一个七阶段、问题驱动的 Claude 自定义技能，将文献综述从「文献搬运」升级为「学术论证」。

📚🔭 你的个人研究雷达 — 由 LLM 驱动的工具，可跨 arXiv / Crossref / Semantic Scholar / GitHub / RSS 自动聚合你关键词的最新论文。📚🔭 Your personal research radar — an LLM-powered tool that auto-aggregates the latest papers for your keywords across arXiv / Crossref / Semantic Scholar / GitHub / RSS.

ICLR 2026 Oral 论文 "Q-RAG: Long Context Multi-Step Retrieval via Value-Based Embedder Training" 的官方仓库。Official repository for the ICLR 2026 Oral Paper🔥 “Q-RAG: Long Context Multi-Step Retrieval via Value-Based Embedder Training”

Cognee Rust——快速且高性能的 AI 记忆引擎Cognee Rust - fast and performant AI memory engine

用于处理技术文档的 Python pipeline 工具与插件生态。结合 GROBID、LangChain 处理来自 arXiv、SemanticScholar、PDF 的论文，可生成播报播客，并支持自定义 pipeline。A Python pipeline tool and plugin ecosystem for processing technical documents. Process papers from arXiv, SemanticScholar, PDF, with GROBID, LangChain, listen as podcast. Customize your own pipelines.

零停机 embedding 升级。Zero downtime embedding upgrades

SPY put-credit 验证与真金白银的 control plane，具备券商账本支持、确定性 risk gates、hybrid RAG、对账及每月 $1k 税后收益证据追踪。SPY put-credit validation and real-money control plane with broker-backed ledgers, deterministic risk gates, hybrid RAG, reconciliation, and $1k/mo after-tax evidence tracking.

🔐 Replayable RAG —— 本地优先、可审计的知识推理平台。Graph-RAG + 仅追加审计日志 + 确定性矛盾仲裁 + 人类把关的自演化。可逐字节回放任意历史知识状态。100% 本地（Ollama）。MIT 许可。🔐 Replayable RAG — a local-first, auditable knowledge-reasoning platform. Graph-RAG + append-only audit log + deterministic contradiction arbitration + human-gated self-evolution. Replay any past knowledge state byte-for-byte. 100% local (Ollama). MIT.

发现最重要的引用论文——按影响力、相关性和影响度排序Discover the citing papers that matter most — ranked by impact, relevance, and influence

面向 Claude Code 的零幻觉参考验证——实时 CrossRef/S2/PubMed 校验、摘要逐字溯源、撤稿检查。Zero-hallucination reference verification for Claude Code — live CrossRef/S2/PubMed verification, verbatim abstract traceability, retraction check

邮件的大脑：MailFathom 将 IMAP 邮箱转变为自托管、AI-native 的服务。邮件同步至你自己的 PostgreSQL，建立索引以支持搜索与检索，并通过 Model Context Protocol 提供给 AI agent。具备语义检索、问答与受控的写入工具。基于 .NET 10，AGPL-3.0-only 许可。A brain for your mail: MailFathom turns IMAP mailboxes into a self-hosted, AI-native service. Mail synchronizes into your own PostgreSQL, is indexed for search and retrieval, and is served to AI agents over the Model Context Protocol. Semantic retrieval, answering, and gated write tools. .NET 10, AGPL-3.0-only.

工厂本体驱动的数据问答框架（开源，Apache-2.0）：把中小企业台账/MES/ERP 变成可自然语言问答的语义知识图谱。CSV进答案出，确定性规则引擎+本体GraphRAG+向量混合检索，本地化数据不出厂，换行业只换词典。

Bango 是一款跨平台桌面应用，可自动化并加速系统文献综述、范围综述与元分析中的筛选阶段Bango is a cross-platform desktop application that automates and accelerates the screening phase of systematic literature reviews, scoping reviews, and meta-analyses.