仓库/Skill 库

一款面向学术写作的原生 macOS Markdown 编辑器，集成了兼容 Zotero 的文献管理器、表格数据库与任务追踪功能。A native macOS Markdown editor for academic writing, featuring an integrated Zotero-friendly bibliography manager, spreadsheet databases, and task tracking.

将 Jira 与 Confluence 镜像到单个本地 SQLite 文件——macOS 应用、Web UI 与 Agent SQL/MCP。即时搜索、离线可用，单一二进制。Your Jira and Confluence, mirrored into one local SQLite file — macOS app, web UI, and agent SQL/MCP. Instant search, offline, one binary.

可自托管的 Agentic OS：通过签名插件构建、运行与审计多 Agent AI 团队。自带 LLM key，数据完全自有，符合 EU/GDPR 要求。Self-hostable agentic OS. Build, run & audit multi-agent AI teams from signed plugins. Bring your own LLM key, own all your data, EU/GDPR-ready.

生产级多 Agent 平台，提供编排、会话治理和审计能力。技术栈：Go/Python/Rust 微服务、多类型数据存储、Next.js 管理后台 UI、自动化 CI/CD 流水线、通过 PR 评论提及触发的 AI 代码审查。Production-ready multi-agent platform delivering orchestration, session governance and audit capabilities. Stack: Go/Python/Rust microservices, multi-type data storage, Next.js admin UI, automated CI/CD pipelines, AI code review triggered via PR comment mentions.

面向工程团队的短期规划系统——让工程师保持专注、运行每日 Sprint 并跟踪非计划工作。构建于 GitHub Projects v2 之上（无独立数据库）：单个 Go 二进制内嵌 React UI、REST API、面向 AI Agent 的 MCP server，并通过 WebSocket 提供实时看板更新。A short-term planning system for engineering teams — keep engineers focused, run daily sprints, and track unplanned work. Built on GitHub Projects v2 (no database of its own): one Go binary with an embedded React UI, REST API, MCP server for AI agents, and live board updates over WebSocket.

EnterpriseRAG-AI：面向 AI Agent 工作负载的 Linux 原生、eBPF 驱动的安全与治理网格。EnterpriseRAG-AI: The Linux-Native, eBPF-Powered Security & Governance Mesh for AI Agent Workloads

BibexPy 是一个基于 Python 的软件，旨在简化文献计量数据整合、去重、元数据增强和格式转换。它通过自动化传统的手动且易出错的任务，简化了高质量数据集的准备，以用于高级分析。BibexPy is a Python-based software designed to streamline bibliometric data integration, deduplication, metadata enrichment, and format conversion. It simplifies the preparation of high-quality datasets for advanced analyses by automating traditionally manual and error-prone tasks.

通过 Ollama 使用本地 LLM 自动生成文献综述：检索学术数据库、获取全文论文并撰写 APA 第 7 版格式综述；模型在结构上被禁止编造引文，每条引文均逐字核验并按 APA 第 7 版排版。Automated literature reviews using local LLMs via Ollama. Searches academic databases, acquires full-text papers, and writes APA 7th reviews where the model is structurally prevented from fabricating quotes — every quote is verified verbatim and is formated in APA7th.

面向 AI 编程 agent 的无向量代码检索——基于 Tree-sitter 图，按业务意图（@intent、@domainRule）搜索代码，通过 MCP 为 MSA 构建。Vectorless code retrieval for AI coding agents — search code by business intent (@intent, @domainRule) over a Tree-sitter graph. Built for MSA via MCP.

发现并联系真正匹配你技术栈的 GitHub 开发者——基于社交图谱遍历、仓库分析、相似度评分、ML 互关预测以及现代化分析仪表盘。Discover and connect with GitHub developers who actually match your stack — powered by social graph traversal, repository analysis, similarity scoring, ML followback prediction, and a modern analytics dashboard

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.

开源 AI 虚拟财务部门 —— 与数据对话：NL2SQL 查询、财务建模（DCF/WACC/LBO）、RAG 文档问答、多 Agent 辩论、报告、预算、资金管理与税务。FastAPI + LangGraph + React。Open-source AI virtual finance department — talk to your data: NL2SQL querying, financial modeling (DCF/WACC/LBO), RAG document Q&A, multi-agent debate, reporting, budgeting, treasury & tax. FastAPI + LangGraph + React.

原生终端的 LifeOS，可选本地 Web UI，支持任务、笔记、习惯、日程、时间记录、关系与人机协作。Terminal-native LifeOS with an optional local Web UI for tasks, notes, habits, schedules, timelogs, relationships, and human-agent collaboration.

SharpAI 是基于 llama.cpp（通过 LlamaSharp）构建的可嵌入 Embedding、补全与模型管理平台，内置 Ollama 兼容的 Web 服务。SharpAI is an embeddable embeddings, completions, and model management platform using llama.cpp via LlamaSharp, with a built-in Ollama-compatible webserver.

数据在本地自由探索 —— AI Agent 受控运行。具备治理化 Agent 访问能力的联邦化数据探索器。Your data, explored locally — and your AI agents kept on a leash. A federated data explorer with governed agentic access.

实验性的本地优先 memory CLI，面向 MCP agent：只读访问 Gmail、日历、iMessage 与文件 → 输出带引用的本地上下文。Experimental local-first memory CLI for MCP agents: read-only Gmail, calendars, iMessage, and files → cited local context

Katra — AI Agent 的认知记忆即服务。开源认知记忆基础设施，支持 MCP 协议。Katra — Cognitive Memory as a Service for AI Agents. Open-source cognitive memory infrastructure with MCP protocol support.

自托管博客平台，AI agent 可代为运行。一个 Bun 进程，两个 SQLite 文件，路径上无需任何云端账号。A self-hosted blog platform an AI agent can run for you. One Bun process, two SQLite files, no cloud account anywhere in the path.

零基础设施构建 AI agent 与工作流。Build AI agents and workflows with zero infrastructure

Agent 原生研究工作空间。确定性 CLI，将 arXiv / PDF / LaTeX / Zotero 论文导入 Obsidian 兼容的知识图谱，支持本地混合搜索（BM25 + 向量），具备声明级溯源，并提供每晚文献雷达。Agent-native research workspace. A deterministic CLI that ingests arXiv / PDF / LaTeX / Zotero papers into an Obsidian-compatible knowledge graph, with local hybrid search (BM25 + vectors), claim-level provenance, and a nightly literature radar.

墨西哥开放法律情报：覆盖联邦、州、市三级来源的 3 万+ 部法律 · 350 万+ 可检索条文 · 三语界面（西班牙语 · 英语 · 古典纳瓦特尔语）· 一方 RAG 聊天 · OpenAPI + SDK · 为市民、会计师、律师与 AI Agent 像代码一样导航墨西哥法律。Open legal intelligence for Mexico. 30,000+ laws across federal, state, and municipal sources · 3.5M+ searchable articles · trilingual UI (Spanish · English · Classical Nahuatl) · first-party RAG chat · OpenAPI + SDKs · built so citizens, accountants, lawyers, and AI agents can navigate Mexican law as code.

面向 AI Agent 的类脑持久化记忆：混合检索、知识图谱、睡眠-巩固生命周期、专家路由（HMoE），以及基于图 Laplacian 扩散的衰减、巩固、自动链接与谱检索子系统。提供 65 个 MCP 工具，本地运行，无需云端。Brain-like persistent memory for AI agents. Hybrid search, knowledge graph, sleep-consolidation lifecycle, expert routing (HMoE), and a graph-Laplacian diffusion subsystem driving decay, consolidation, auto-link, and spectral retrieval. 65 MCP tools. Local, no cloud.

面向 LLM Agent 的本地优先上下文引擎——在检索路径上无需 LLM 调用即可检索、权衡并压缩代码库到上下文窗口。采用 SQLite 知识存储，支持 CLI + HTTP + MCP，提供 know/miss Agent 契约。Local-first context engine for LLM agents — retrieves, weighs, and compresses your codebase into the context window with no LLM call on the retrieval path. SQLite knowledge store; CLI + HTTP + MCP; know/miss agent contract.

在工作发生的地方就地捕获团队知识，由 agent 归档，并以可核验的引用形式给出回答。A team's knowledge, captured where the work happens, filed by an agent, and answered with citations you can check.

运行在你 PC 上的开源 AI 内容工厂——自动发现主题、调研、撰写、多模型 QA 审核并发布。基于 Ollama 本地优先，$0 API 成本。The open-source AI content factory that runs on your PC — discovers topics, researches, writes, reviews with multi-model QA, and publishes. Local-first via Ollama, $0 API costs.

一次查询，覆盖全部学术数据库；每次运行归档井然有序。跨 OpenAlex、ADS、arXiv、INSPIRE、Scopus、Semantic Scholar、Crossref 与 WoS 的可复现、合规文献检索One query. Every scholarly database. A tidy archive of every run. Reproducible, ToS-compliant literature search across OpenAlex, ADS, arXiv, INSPIRE, Scopus, Semantic Scholar, Crossref and WoS.

CPersona — 持久化 AI 记忆服务器，具备 3 层混合搜索、置信度评分和 30 个工具，MIT 许可。CPersona — Persistent AI memory server with 3-layer hybrid search, confidence scoring, and 30 tools. MIT licensed.

众多 Agent，一个目标——你的目标。Many Agents, one objective... yours

AI 驱动的初创公司情报 Agent——手写 ReAct 循环、并行工具执行、实时联网搜索以及 RAG 增强的文档分析。不依赖任何框架，具备完整理解能力。AI-powered startup intelligence agent — hand-built ReAct loop, parallel tool execution, live web search, and RAG-grounded document analysis. No frameworks. Full understanding.

ResearchTrack 是面向大学实验室、导师与学生研究者的学术研究实验室与文献管理平台，集中管理文献综述、独立学生论文综合以及多范围论文分配（个人、实验室级、子组级）ResearchTrack is an academic research laboratory and literature management platform designed for university labs, faculty advisors, and student researchers. It centralizes literature reviews, isolated student paper syntheses, multi-scope paper assignments (individual, lab-wide, and sub-group-wise)

本地优先、可审计的技术文档与源代码知识编译器。Local-first, auditable knowledge compiler for technical docs and source code

AI 原生时序记忆图，采用统一 DSL——将概念、查询、智能体工作流与语音统一为可部署的原语AI-native time-series memory graph with a single DSL — unifies concepts, queries, agent workflows, and voice into deployable primitives.

本地部署、MCP 原生的 AI Agent 记忆，适用于受监管场景：每次写入均落入 SHA-256 哈希链日志，审计员可离线验证，无需信任存储或厂商。Rust 实现，嵌入式，Apache-2.0。On-prem, MCP-native memory for AI agents in regulated settings: every write lands in a SHA-256 hash-chained log an auditor can verify offline, without trusting the store or the vendor. Rust, embedded, Apache-2.0.

面向 AI 编码 Agent 的跨工具、跨机器共享记忆。本地优先 SQLite，可选 Zenoh + RocksDB mesh，原生支持 MCP。Shared memory for AI coding agents, across tools and machines. Local-first SQLite, optional Zenoh+RocksDB mesh, MCP-native.

免费、本地优先、按章节编排的 LLM、向量数据库、RAG 与 Agent 课程——从零到你的首个 AI agent。Free, local-first, chapter-wise curriculum for LLMs, Vector DBs, RAG & Agents — from zero to your first AI agent.

金融与生活交易学习 RAG 与 QuantConnect LEAN 回测工作流（FastAPI、Qdrant、pgvector、Docker）。금융·생활거래 학습 RAG와 QuantConnect LEAN 백테스트 워크플로우 (FastAPI, Qdrant, pgvector, Docker)