92 Repos
Configurations for defining associations between database entities.
Distinguishing note: None available; minting under Data & Databases.
Explore 92 awesome GitHub repositories matching data & databases · Entity Relationships. Refine with filters or upvote what's useful.
json-server is a development toolset used to simulate a full REST API from a JSON file. It functions as a customizable mock API server that allows for the simulation of CRUD operations and resource relationships without the need to write backend code. The project enables rapid prototyping by generating a fake backend that persists data changes back to a local JSON file. It distinguishes itself by providing a static asset file server to deliver local documents, images, and stylesheets alongside the mock API endpoints. The server includes capabilities for data querying, such as parameter-based
Automatically removes associated child records when a parent resource is deleted to maintain integrity.
Ruflo is an AI agent orchestration platform and workflow automation tool designed to decompose high-level goals into executable action plans. It functions as a manager for multi-agent swarms, organizing autonomous entities into collaborative topologies that utilize shared consensus to complete complex tasks. The framework distinguishes itself through a retrieval-augmented generation layer and knowledge graphs for reasoning over linked data. It incorporates a trajectory-based learning loop that analyzes previous execution paths to refine cognitive patterns and improve future reasoning accuracy
Defines associations between database entities to enable complex reasoning over linked data sets.
Embedchain is an LLM memory management framework and RAG orchestration engine designed to provide AI agents with a persistent storage layer. It functions as a long-term memory pipeline that extracts facts from unstructured interactions and stores them as permanent knowledge base entries to retain user preferences and interaction history across sessions. The system employs a hybrid vector database interface that combines semantic embeddings with traditional keyword search. It utilizes an entity-linking knowledge graph to connect related information points and applies temporal ranking to distin
Provides configurations for defining associations between entities to enable retrieval of complex associated information.
Mempalace is a local-first long-term memory store for large language models and AI agents. It provides a persistent storage system for verbatim conversation history and agent data, utilizing a local-first knowledge graph to track evolving entity relationships and timelines. The project implements a standardized memory protocol that allows external AI clients to read and write persistent memory via standard input and output. It features a hybrid semantic search engine that combines keyword boosting and reranking to find precise historical information across scoped categories. The system inclu
Tracks evolving entity relationships and timelines using a local temporal knowledge graph.
Mempalace is a long-term memory management system for large language models that orchestrates the storage and retrieval of conversation history and entity relationships. It functions as a memory orchestrator and Model Context Protocol server, providing AI clients with read and write access to structured knowledge. The system utilizes a temporal knowledge graph to track evolving entity relationships and timelines with validity windows. It employs a hierarchical memory partitioning strategy, organizing data into wings and rooms to isolate specialist agent contexts and restrict semantic searches
Implements a temporal knowledge graph to track evolving entity relationships with validity windows and timelines.
Codegraph is a local codebase indexer and static analysis graph database that serves as a context provider for AI agents. It parses multiple programming languages into a searchable knowledge graph of symbols and dependencies, exposing these relationships to AI tools through the Model Context Protocol. The project distinguishes itself by aggregating relevant code snippets and symbol flows to reduce token usage for large language models. It automates the configuration of server settings and steering instructions across various AI agent platforms and command line editors to enable automatic code
Traverses the knowledge graph to identify callers, callees, and the impact radius of code changes.
TypeORM is an object-relational mapper for TypeScript and JavaScript that bridges the gap between object-oriented application code and relational database tables. It provides a comprehensive data persistence layer that allows developers to define database entities using class decorators or configuration objects, enabling seamless interaction with data through object-oriented patterns. The project distinguishes itself through a flexible architecture that supports both the data mapper and repository patterns, alongside a fluent query builder that translates high-level method calls into platform
Establishes one-to-one, many-to-one, and one-to-many associations between database entities.
Tasmota is a universal firmware platform for ESP8266 and ESP32 microcontrollers, designed to provide local control and management of smart home hardware. It functions as an event-driven automation controller that replaces proprietary factory firmware, allowing users to manage relays, sensors, and lighting systems without relying on external cloud services. The system is built on a modular driver architecture that enables dynamic hardware configuration and peripheral support through a web-based management interface. The platform distinguishes itself through a template-driven hardware mapping s
Exposes device components like switches and sensors as native entities within a home automation platform for unified control.
AgentMemory is a persistent knowledge store and memory server designed to provide AI coding agents with long-term memory. It functions as a knowledge graph engine and vector database store that saves and recalls project context, architectural decisions, and patterns across different sessions. The system distinguishes itself by using a tiered-memory consolidation pipeline that compresses raw observations into episodic, semantic, and procedural layers to optimize token usage. It employs a hybrid retrieval strategy combining keyword matching, vector embeddings, and graph traversal to surface rel
Functions as a persistent memory store that exposes project context to agents via a standardized server.
ThingsBoard is an IoT device management platform designed for provisioning, monitoring, and managing large fleets of hardware devices and assets across multiple customers. It functions as a microservices infrastructure that allows the deployment of data collection and management services as independent containerized units for scaling. The platform includes a rule-based stream processor that transforms incoming device data and triggers alarms using customizable rule chains. It also provides a data visualization suite consisting of dashboards and widgets to display real-time telemetry and syste
Provides server-side provisioning and management of the lifecycle and relationships of hardware assets.
This project is a software integration designed to connect and control local Xiaomi smart home devices within a centralized home automation environment. It functions as a bridge that enables unified monitoring and management of various connected appliances across a local network, providing a standardized interface for IoT device orchestration. The integration secures communication channels by validating encrypted handshake sequences required to authorize commands between the controller and local hardware. It maintains state consistency by translating proprietary device attributes into standar
Translates proprietary device attributes into standardized logical entities for home automation platforms.
Subql is a blockchain data indexing framework and TypeScript-based indexer used to extract raw blockchain events and transactions and transform them into structured, queryable data entities. It functions as a data API and a tool for building decentralized application backends, providing a query interface for type-safe access to indexed blockchain data. The project includes an AI-powered query engine that utilizes large language models to translate natural language questions into structured GraphQL queries. This system can orchestrate multi-step queries by breaking down complex requests into s
Transforms raw blockchain events into structured entities and relational associations stored in a queryable database.
APIJSON is a no-code database API generator and object-relational mapping layer that automatically transforms relational database schemas into functional HTTP endpoints. It provides a system for generating CRUD operations and technical documentation without the need to write manual backend code. The project is distinguished by its ability to allow clients to define custom JSON response structures and field aliases directly within the request. It features dynamic query translation that converts structured JSON parameters into optimized SQL for complex relational joins, subqueries, and data agg
Supports fetching data from multiple related tables using dot-notation join paths based on foreign key relationships.
Pentagi is an autonomous security testing framework and agent orchestrator designed to plan and execute end-to-end security assessments. It utilizes a coordination engine to decompose complex goals into actionable subtasks, performing automated penetration testing and vulnerability research within isolated container environments. The system distinguishes itself through a temporal knowledge graph that tracks semantic relationships between entities and vulnerabilities to reuse intelligence across projects. It includes a web intelligence reconnaissance tool for automated data gathering and agent
Builds a temporal knowledge graph of entities and vulnerabilities to reuse intelligence across projects.
This project is a comprehensive technical interview preparation resource and computer science interview guide. It serves as an educational reference for developers to study core software engineering fundamentals and common coding patterns required for employment screenings. The repository provides detailed guides and references covering data structures and algorithms, networking and security, operating systems, and web development. It specifically focuses on the implementation and complexity analysis of sorting, searching, and graph algorithms. The material encompasses a wide breadth of comp
Explains how to manage database CRUD operations and schema updates by modifying entity classes.
Sourcetrail is an interactive source code explorer and visualizer designed for indexing and navigating relationships between symbols and structures across large, multi-language codebases. It functions as a static analysis indexer and code dependency visualizer that maps calls and dependencies between source files to help reveal project architecture. The tool enables multi-language project analysis by using a language-agnostic indexing system to track symbols across different programming languages within a single interface. It allows for the discovery of software architecture and the explorati
Analyzes source code to identify and visualize dependencies and entity relationships.
Quarkus is a Kubernetes-native Java framework designed for building high-performance, memory-efficient applications. It utilizes ahead-of-time native compilation to transform Java code into standalone, optimized binaries that eliminate the need for a virtual machine, enabling rapid startup and reduced memory consumption. By performing code augmentation during the build phase, it shifts heavy processing tasks away from runtime, ensuring that applications are optimized for cloud-native environments. The framework distinguishes itself through a unified approach to reactive and imperative program
Provides an active record pattern for database interactions, allowing developers to define entities with built-in data methods.
N-blog is a full-stack JavaScript blogging platform and content management system built with Node.js. It functions as a server-side rendered web application that renders markdown source text into HTML for publishing and displaying articles. The system includes a markdown blogging engine that enables the creation and management of posts and user comments. It features a integrated user authentication system that handles account registration, secure sign-in, and session management to protect private routes. The project covers broad capability areas including request routing and middleware pipel
Ensures referential integrity by automatically removing associated comments when a parent blog post is deleted.
EntityFramework is a .NET object-relational mapper that translates application objects into database tables and rows. It functions as a query engine that converts high-level expressions into optimized SQL commands for data retrieval. The project provides a mechanism for monitoring modifications to loaded objects to synchronize application state with the database. It also includes a system for synchronizing database structures with data models using versioned migration scripts. The framework supports multi-backend database integration through a plugin system, allowing a single application to
Implements an identity map to ensure each database record is represented by a single object instance per session.
Entity Framework Core is an object-relational mapper that enables developers to interact with database systems using strongly-typed code. It serves as a comprehensive data access framework, providing a unified interface for mapping application objects to relational and non-relational database schemas while managing the lifecycle of data operations through a central context. The project distinguishes itself through a provider-based architecture that decouples core data access logic from specific database engines, allowing for consistent interaction across diverse storage systems. It features a
Modifies foreign key associations by updating navigation properties on tracked objects to point to different related entities.