Projects sharing features with Convex Backend

This project is a collection of reference implementations, sample code, and starter kits for integrating Firebase backend services into web applications using the JavaScript SDK. It serves as a practical guide for bootstrapping projects with cloud-hosted authentication, databases, and serverless logic. The repository provides specific examples for implementing real-time data synchronization, user identity management, and event-driven cloud functions. It also includes reference code for using local service emulators to test cloud functionality on a local machine before production deployment.

This project is a reactive, offline-first NoSQL database engine designed for JavaScript applications. It provides a robust framework for managing application state by synchronizing data across browsers, mobile devices, and server-side runtimes. By treating local storage as the primary source of truth, it enables applications to remain functional without network connectivity, automatically reconciling changes with remote backends once a connection is restored. The database distinguishes itself through a modular architecture that supports cross-environment synchronization and high-performance d

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

RedisInsight is a graphical user interface and management tool for browsing, analyzing, and administering Redis databases. It provides a visual environment for exploring key-value data structures, managing database instances, and performing data analysis across different operating systems and deployments. The tool distinguishes itself by providing dedicated visual managers for complex operations, including a vector database manager for configuring embeddings and similarity searches, a query workbench for executing raw commands and Lua scripts, and a performance monitoring dashboard for tracki

This project is a feature-rich Go client library designed for interacting with Redis. It serves as a comprehensive interface for managing remote data stores, enabling developers to execute standard database commands, handle complex data structures, and perform asynchronous operations within Go applications. The library distinguishes itself through its support for advanced Redis capabilities, including connection pooling, pipelining, and transactional integrity. It provides specialized primitives for managing distributed clusters, including automated topology updates and request routing to sha

Mastra is an orchestration framework designed for building, deploying, and managing autonomous AI agents and multi-agent systems. It provides a comprehensive suite of primitives for creating resilient AI applications, including durable workflow orchestration, event-driven agent loops, and semantic memory management. By integrating these core components, the platform enables developers to build complex, multi-step processes that can reason about goals and execute tasks without manual intervention. The framework distinguishes itself through its focus on observability and secure, isolated execut

SpacetimeDB is a stateful, real-time database platform that executes application logic directly within the database engine. By unifying data storage and business logic, it allows developers to build applications where state transitions are processed through atomic, server-side functions. The platform maintains persistent connections to stream incremental updates to clients, ensuring that local caches remain synchronized with the server state at all times. The platform distinguishes itself by generating type-safe client interfaces directly from server-side schema definitions, ensuring consiste

This is a Backend as a Service SDK for Apple platforms, providing a collection of libraries that connect iOS and macOS applications to cloud databases, authentication services, and serverless infrastructure. It serves as a developer kit for integrating real-time data synchronization, file storage, and push notifications into native apps. The SDK is distinguished by its generative AI integration, which routes text and multimodal prompts between on-device models and cloud-hosted large language models. It further differentiates itself with a specialized app distribution tool for managing pre-rel

This repository provides a collection of starter templates, reference projects, and implementation guides for integrating Firebase services into Android applications. It serves as a boilerplate for building mobile apps with built-in cloud backend integration. The project includes examples for connecting Android applications to large language models for generative AI features. It also provides sample code for managing user identity and authentication, as well as demonstrations for integrating cloud databases and serverless functions. The codebase covers a broad range of capabilities, includin

This project is a distributed, document-oriented database system designed to store information in flexible, hierarchical structures. It supports horizontal scaling through automated sharding and maintains high availability across global clusters using a multi-node replication protocol. By executing multi-document operations as atomic units, the system ensures data integrity and consistency across distributed environments. The platform distinguishes itself by integrating advanced vector-based indexing, which enables semantic similarity searches alongside traditional geospatial and lexical quer

This project provides containerized images for deploying a self-managed content collaboration and file sharing server. It enables the creation of private cloud storage and self-hosted file synchronization environments, allowing users to maintain data ownership and control over their infrastructure. The deployment model utilizes Docker images to simplify installation, scaling, and version updates. It distinguishes itself through a database-agnostic storage approach, supporting integration with PostgreSQL, MySQL, MariaDB, or SQLite, and employs volume mapping to ensure data persistence across c

Nhost is an open-source backend as a service that provides a managed PostgreSQL database, authentication, and file storage accessible through a unified GraphQL API. It functions as a backend infrastructure orchestrator, enabling the deployment and management of full-stack environments using containerization and command-line automation. The platform distinguishes itself by automating the transformation of relational database tables into a secure GraphQL API and providing an integrated identity provider that supports passwords, magic links, and OAuth. It also includes a serverless function runt

This is a backend-as-a-service SDK that connects web and mobile applications to a suite of cloud services. It provides a unified interface for managing user identity, executing serverless logic, and handling cloud object storage. The toolkit is characterized by its real-time data synchronization, which allows NoSQL document data to stay consistent across multiple clients with built-in offline persistence. It facilitates secure user access through a variety of identity providers and manages serverless function invocation to execute backend logic in response to HTTPS requests or database events

ParadeDB is a database extension that integrates full-text search, vector database capabilities, and real-time analytics directly into a relational engine. It functions as a plugin that adds new storage and query execution capabilities to an existing database architecture. The project distinguishes itself by supporting hybrid search workflows that combine lexical keyword matching with dense and sparse vector similarity in a single query. It utilizes reciprocal rank fusion to merge these ranked result sets and employs logical replication to synchronize data from external instances, removing th

Infinity is a distributed vector database and multimodal vector store designed to manage large-scale datasets for retrieval and similarity search. It serves as a backend for large language model applications and retrieval augmented generation pipelines by storing and retrieving dense vectors, sparse vectors, and full-text data. The system functions as a hybrid search engine, combining vector embeddings and full-text search with reranking algorithms to identify the most relevant documents. It supports multimodal data storage, allowing the maintenance of diverse data types including tensors, st

Manticoresearch is a high-performance search engine and database designed for indexing and retrieving large datasets. It functions as a full-text search engine, a vector search database, and a SQL-based search database, providing a distributed search cluster architecture. The system provides an alternative to the Elasticsearch stack, offering a compatible API for indexing and searching structured and unstructured data. It distinguishes itself by supporting multiple retrieval methods, including vector matching for similarity search, geospatial queries, and traditional full-text ranking. The p

Kvrocks is a distributed key-value store and Redis-compatible NoSQL database. It utilizes a RocksDB storage engine to provide disk-based persistence, allowing for high-capacity data storage with reduced memory costs compared to in-memory systems. The system functions as a vector database and full-text search engine, supporting nearest-neighbor searches on vector embeddings and complex document queries via text matching. It employs a proxyless cluster architecture with slot-based routing to distribute data and scale capacity across multiple nodes. The platform covers a wide range of data mana

ZenML is an extensible machine learning orchestration framework designed to manage the end-to-end lifecycle of data pipelines and AI agent workflows. It functions as a durable orchestrator that executes machine learning tasks as directed acyclic graphs, ensuring that every step is containerized for consistent performance across local, cloud, and hybrid infrastructure. By decoupling pipeline code from underlying compute and storage backends, the platform allows developers to define infrastructure-agnostic stacks that remain portable across diverse environments. The project distinguishes itself

Trailbase is a backend-as-a-service platform delivered as a single executable that integrates a realtime database engine, an identity and access manager, and a type-safe API generator. It provides a comprehensive backend environment including a SQLite-backed storage engine and a WebAssembly runtime server for executing custom logic. The platform distinguishes itself by automatically transforming database schemas into JSON APIs with cross-language client bindings and by allowing the execution of portable components for server-side rendering and custom HTTP routes. It further incorporates vecto

RavenDB is a multi-model NoSQL document database designed for high-performance, ACID-compliant data storage. It persists structured information as schema-flexible JSON documents and utilizes a unit-of-work session pattern to track entity changes and batch modifications into atomic transactions. The platform is built on a distributed architecture that supports horizontal scaling through sharding and ensures high availability via multi-node, master-to-master cluster replication. The database distinguishes itself through a self-optimizing query engine that automatically creates and maintains ind

zvec is an embedded vector database engine and indexing library designed for high-dimensional similarity search. It functions as a hybrid search engine and a retrieval-augmented generation knowledge base, allowing for the storage and retrieval of dense and sparse vectors. The system is distinguished by its hybrid retrieval pipeline, which fuses vector similarity, full-text keyword matching, and scalar metadata filtering into single query operations. It supports a plugin-based model integration system for registering custom embedding models and rerankers, as well as language bindings for nativ

Temporal is a distributed workflow orchestration engine designed to manage fault-tolerant, stateful, and long-running background processes. It functions as a platform for coordinating complex cross-service operations, ensuring consistency and reliability in distributed environments by decoupling workflow orchestration from task execution. The platform distinguishes itself through a deterministic, event-sourced execution model that reconstructs workflow state by re-executing code from an immutable event log. This approach isolates non-deterministic side effects into managed activities, allowin

This project is a community-curated directory of open-source software designed for deployment in private server environments and home labs. It serves as a comprehensive resource for discovering independent, self-hosted alternatives to mainstream cloud services, enabling users to maintain full data ownership and control over their digital infrastructure. The directory is structured through a hierarchical taxonomy that organizes a vast collection of applications into logical categories, ranging from media management and data analytics to private communication and team productivity tools. It dis

Deepagents is an LLM agent orchestration platform and stateful application server designed for deploying and managing AI agents built with computational graphs. It provides a containerized runtime environment that handles agent execution, state persistence, and the versioning of AI assistants. The platform distinguishes itself through deep integration with the Model Context Protocol, allowing agents to function as servers that expose tools and capabilities to external clients. It features a sophisticated observability suite for capturing execution traces, performing LLM-based evaluations agai

LangChain.js is a framework for building, executing, and monitoring stateful agentic applications. It provides an orchestration engine that models workflows as directed graphs, allowing developers to connect language models, data sources, and external tools into modular, multi-step processes. The platform distinguishes itself through its focus on stateful execution and human-in-the-loop control. It manages agent lifecycles by persisting execution state across threads, enabling fault tolerance and the ability to pause workflows at designated breakpoints for manual review or modification. This

SQLite.swift is a type-safe Swift wrapper and object-relational mapping layer that provides a bridge for interacting with SQLite databases. It functions as a database driver that allows for embedded database management and local data persistence within Swift applications. The project distinguishes itself through a type-safe expression builder that verifies SQL statement syntax and intent at compile time. It includes specialized support for high-performance text matching via full-text search integration and provides mechanisms for securing sensitive data through database encryption. The libra

LibSQL is a high-performance, distributed SQL database engine that extends SQLite to support remote network access, edge computing, and real-time synchronization. It functions as an embedded database library that integrates directly into application processes while providing the infrastructure to maintain consistency across multiple geographic regions. The platform distinguishes itself by enabling database interaction over standard HTTP protocols, allowing applications to query remote data sources in serverless and edge environments without requiring local filesystem access. It includes nativ