仓库/Skill 库

一款隐私优先、可自托管、完全开源的个人知识管理软件，使用 typescript 和 golang 编写。An open-source, privacy-first, self-hosted knowledge workspace where humans and AI agents work together 开源、隐私优先、自托管的知识工作空间，让人与智能体在此协作

面向 AI 的搜索基础设施。Search infrastructure for AI

🤖 与你的 SQL 数据库对话 📊。通过 Agentic 检索 🔄 利用 LLM 实现准确的 Text-to-SQL 生成。🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using Agentic Retrieval 🔄.

面向 AI agents 的 GenBI（Generative BI），一款开源、可治理的 text-to-SQL 方案，通过开放 context layer 将自然语言问题转化为可信的仪表盘、图表与 SQL，覆盖 20+ 数据源，如 BigQuery、Snowflake、PostgreSQL、ClickHouse、Amazon Redshift、Databricks 等GenBI (Generative BI) for AI agents, an open-source, governed text-to-SQL through an open context layer that turns natural-language questions into trusted dashboards, charts, and SQL across 20+ data sources, such as BigQuery, Snowflake, PostgreSQL, ClickHouse, Amazon Redshift, Databricks and more.

一个轻量、极速的进程内向量数据库。A lightweight, lightning-fast, in-process vector database

开源全球情报平台——实时 OSINT 仪表盘——Palantir 替代方案——按交易量抽取 0.5%，钱包地址 2nZNHm3Lr9umG3DVrzYwHgktwkuKuJRXqqRqs3ewpumpOpen Source Global Intelligence Platform - Real-Time OSINT Dashboard - A Palantir Alternative - We Get 0.5% on Volume Traded 2nZNHm3Lr9umG3DVrzYwHgktwkuKuJRXqqRqs3ewpump

基于 Next.js、LangChain、PostgreSQL + pgvector 构建的 AI 驱动的初创企业加速引擎。可上传、组织并与文档对话。包含预测性缺失文档检测、基于角色的工作流以及页面级洞察提取。AI-powered StartUp Accelerator Engine built with Next.js, LangChain, PostgreSQL + pgvector. Upload, organize, and chat with documents. Includes predictive missing-document detection, role-based workflows, and page-level insight extraction.

基于文件、使用 Markdown 的 wikiA file based wiki that uses markdown

为 Claude Code 提供持久化记忆，支持自带数据库Persistent memory for Claude Code. Bring your own database.

在 Apple Silicon 上运行 Windows 游戏 —— 免费、开源，并附带开放兼容数据库，告知你哪些游戏真正可用。Run Windows games on Apple Silicon — free, open source, with an open compatibility database that tells you what actually works.

基于对象存储的快速搜索引擎，原生支持 Parquet 上的全文检索、向量检索与 SQL。Fast search engine on object storage, with full text search, vectors, and SQL, natively on Parquet.

语音 AI API 的开放价格数据库 —— STT、LLM、TTS、S2S、VAD。Open price database for voice AI APIs - STT, LLM, TTS, S2S, VAD

🌟 利用 GPU 加速 Apple Silicon 上的 SQLite 数据库操作，提升分析速度与数据管理效率🌟 Accelerate SQLite database operations on Apple Silicon with GPU power for faster analytics and efficient data management.

开放式数据库工程课程 · 14 个模块共 64 节课 · 210 小时 · 涵盖概念建模、分布式架构、运维及面向 AI 的数据恢复 · 109 项参考文献（带 ISBN、DOI 或标准号），逐课引用并在 CI 中校验 · 5 个零依赖可执行实验 · 256 题自测 📚🗄️ Programa abierto de ingeniería de bases de datos · 64 clases en 14 partes · 210 horas · Del modelado conceptual a la arquitectura distribuida, la operación y la recuperación para IA · 109 fuentes con ISBN, DOI o norma, citadas clase a clase y verificadas en CI · 5 laboratorios ejecutables sin dependencias · Autoevaluación de 256 preguntas 📚

Chat2DB Community 的 Rust 产品运行时，配套 Java 数据库兼容引擎Rust product runtime with Java database compatibility engine for Chat2DB Community

本仓库包含用于复现论文《Pharmacological treatments for ADHD and comorbid substance use disorder: a systematic review and network meta-analysis》中数据库与分析的 R 代码。This repository holds the R codes for reproducing the databases and analyses in my paper "Pharmacological treatments for ADHD and comorbid substance use disorder: a systematic review and network meta-analysis".

关于精神病学障碍中迷幻疗法的活体系统综述，基于 Docker 化 Dash 应用与 PostgreSQL 后端构建。Living systematic review of psychedelic therapy in psychiatric disorders. Built as a dockerized Dash app with PostgreSQL backend.

开源 DBMS 生态的 Reference Quotient 分析与可复现研究流水线。项目列表每月通过 https://github.com/birdflyi/od_label_issue_gen/tree/main/data/database_repo_label_dataframe 中的 csv 文件更新Reference Quotient analysis and reproducible research pipeline for the open-source DBMS ecosystem. The projects list are updated in the csv files in https://github.com/birdflyi/od_label_issue_gen/tree/main/data/database_repo_label_dataframe monthly.

自动化 Python 兼容性补丁工具，将 Google Scholar PDF Reader 从 Chromium 移植到基于 Firefox 的浏览器，并使用 IndexedDB 集成自定义离线论文数据库。Automated Python compatibility patcher to port Google Scholar PDF Reader from Chromium to Firefox-based browsers, integrating a custom offline paper database using IndexedDB.

用于系统综述检索的交互式工具：PICO 构建器、数据库语法转换器与邻近算子构建器。Interactive tools for systematic review searching: PICO builder, database syntax converter, and proximity-operator builder.

JassWiki - 数字 Jass 百科全书。JassWiki - Die digitale Jass-Enzyklopädie

针对任意 GitHub 仓库的自然语言问答 —— 构建 Neo4j 依赖图与 Qdrant 向量索引，用自然语言即可提问结构性与行为性问题。Natural-language Q&A over any GitHub repo — builds a Neo4j dependency graph + Qdrant vector index so you can ask structural and behavioral questions in plain English

从学术数据库中采集学术元数据，用于组织文献检索与构建研究参考目录。Harvest scholarly metadata from academic databases to organize literature searches and build research bibliographies.

von der Heyde, L., Keusch, F., Buskirk, T. D., & Eck, A. (2026). AI in the Loop?! A Systematic Review of the Use of Large Language Models in Survey and Public Opinion Research. SocArXiv. https://doi.org/10.31235/osf.io/eubj4_v1 的复现材料与文献数据库Replication materials and literature databases for von der Heyde, L., Keusch, F., Buskirk, T. D., & Eck, A. (2026). AI in the Loop?! A Systematic Review of the Use of Large Language Models in Survey and Public Opinion Research. SocArXiv. https://doi.org/10.31235/osf.io/eubj4_v1.

引文管理 SaaS：在 1000+ 目录中管理商家信息。Uberall 竞品。Citation Management SaaS: Manage business listings across 1000+ directories. Uberall competitor.

GMS 6803 临床研究数据科学课程材料，含幻灯片、代码与实操实验，内容涵盖真实世界健康数据、基于 EHR 的队列构建、SQL、Python、统计分析与临床研究中的机器学习Course materials for GMS 6803 Data Science for Clinical Research, including slides, code, and hands-on labs on real-world health data, EHR-based cohort development, SQL, Python, statistical analysis, and machine learning for clinical research.

纯 Go 实现的分布式列式 SQL 分析引擎——对 S3 上 Parquet 进行向量化执行，无需 JVM、无需 CGo。以 Trino 级别的能力提供相当性能，却只需极小资源占用。原生支持 IPv4/CIDR/MAC 等网络类型，适用于遥测和安全场景。Distributed columnar SQL analytics engine in pure Go — vectorized execution over Parquet on S3, no JVM, no CGo. Trino-class performance on a fraction of the footprint. Network-native IPv4/CIDR/MAC types for telemetry and security workloads.

自包含的系统综述工作台——多库检索、双评审筛选、AI 辅助批判性评价（RoB 2、ROBINS-I、GRADE…）。单 HTML 文件，无后端，数据不离开浏览器。Self-contained systematic review workbench — multi-database search, dual-reviewer screening, AI-assisted critical appraisal (RoB 2, ROBINS-I, GRADE…). One HTML file, no backend, data never leaves your browser.