5 repositorios
Awesome GitHub RepositoriesDatabase Triggers
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.
Awesome Database Triggers GitHub Repositories
Encuentra los mejores repositorios con IA.Buscaremos los repositorios que mejor coincidan usando IA.
- thedotmack/claude-mem
thedotmack/claude-mem
82,698Ver en GitHubClaude-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.
JavaScriptaiai-agentsai-memory - heidisql/heidisql
HeidiSQL/HeidiSQL
6,129Ver en GitHubA 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.
Pascal - h2database/h2database
h2database/h2database
4,607Ver en GitHubH2 es un sistema de gestión de bases de datos relacionales compatible con JDBC, escrito en Java. Funciona como una base de datos SQL embebible que puede ejecutarse directamente dentro de un proceso de aplicación para eliminar la latencia de red, o como una base de datos en memoria para almacenamiento volátil de alto rendimiento. También incluye una consola basada en web para ejecutar comandos SQL y administrar esquemas. El sistema se caracteriza por sus modos de despliegue flexibles, incluyendo un modo servidor independiente para acceso remoto TCP/IP y un modo mixto para conectividad local y remota simultánea. Cuenta con una capa de emulación de dialectos y modos de compatibilidad que permiten imitar el comportamiento y la sintaxis de otros sistemas de bases de datos. El motor proporciona un amplio conjunto de capacidades que cubren transacciones ACID con control de concurrencia multiversión, soporte para datos geoespaciales y JSON, y funciones avanzadas de ventana analítica. Incluye herramientas para la preservación de datos mediante copias de seguridad comprimidas, restauración de scripts SQL y gestión de memoria fuera del heap (off-heap) para manejar grandes datasets. La base de datos se integra con aplicaciones utilizando controladores estándar de Java Database Connectivity y URLs de conexión.
Provides database triggers to execute automated logic in response to data modifications on tables.
Javadatabasejavajdbc - embarcadero/dev-cpp
Embarcadero/Dev-Cpp
2,882Ver en GitHubDev-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.
Pascalcppdelphidev-cpp - supabase-community/supabase-mcp
supabase-community/supabase-mcp
2,476Ver en GitHubThis 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.
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