5 个仓库
Mechanisms for executing logic in response to data modification events within a database.
Distinguishing note: Focuses on event-driven execution based on record-level changes rather than general database administration.
Explore 5 awesome GitHub repositories matching data & databases · Database Triggers. Refine with filters or upvote what's useful.
Claude-mem is an agentic memory persistence system designed to provide AI assistants with long-term context across multiple development sessions. It functions as a background orchestrator that captures, summarizes, and indexes interaction history, allowing models to maintain continuity and recall technical decisions from past tasks. By utilizing a vector-augmented context engine, the system injects relevant historical observations into active sessions, ensuring that AI agents remain informed without exceeding finite token budgets. The project distinguishes itself through an endless memory arc
Automatically maintains search tables to ensure full-text indices remain consistent with primary data.
A lightweight client for managing MariaDB, MySQL, SQL Server, PostgreSQL, SQLite, Interbase and Firebird, written in Delphi and Lazarus/FreePascal
Creates and modifies database triggers through a visual editor.
H2 是一个用 Java 编写的 JDBC 兼容关系型数据库管理系统。它作为一个可嵌入的 SQL 数据库,可以直接在应用程序进程内运行以消除网络延迟,或者作为内存数据库用于高性能的易失性存储。它还包含一个基于 Web 的控制台,用于执行 SQL 命令和管理模式。 该系统的特点是其灵活的部署模式,包括用于远程 TCP/IP 访问的独立服务器模式,以及用于同时进行本地和远程连接的混合模式。它具有方言模拟层和兼容模式,允许其模仿其他数据库系统的行为和语法。 该引擎提供了一套广泛的功能,涵盖具有多版本并发控制(MVCC)的 ACID 事务、地理空间和 JSON 数据支持,以及高级分析窗口函数。它包括通过压缩备份、SQL 脚本恢复和堆外内存管理来处理大数据集的数据保护工具。 该数据库使用标准的 Java 数据库连接驱动程序和连接 URL 与应用程序集成。
Provides database triggers to execute automated logic in response to data modifications on tables.
Dev-Cpp is a comprehensive development suite that serves as a C++ integrated development environment, a cross-platform application builder, and a visual UI designer. It provides a toolchain for writing, compiling, and debugging native C++ applications on Windows, while offering a framework to create native binaries for desktop, mobile, and IoT devices from a single codebase. The project distinguishes itself by integrating an embedded SQL database engine and a REST API development platform directly into the workflow. It includes an AI-assisted coding tool that leverages large language models t
Allows running scripts to automatically enforce data restrictions and maintain audit logs during table events.
This project is a Model Context Protocol server and AI agent database connector. It provides a standardized communication layer that allows language models to interact with relational data stores, read database schemas, and manage PostgreSQL database resources. The implementation acts as a serverless host for the Model Context Protocol, deploying on distributed edge functions to connect AI assistants to a project. This enables AI agents to perform database administration, execute SQL queries, and handle schema migrations through an AI-compatible interface. The system covers broader capabilit
Executes logic and functions automatically in response to table insertions, updates, or deletions.