7 रिपॉजिटरी
Integration for storing application state and logs in MongoDB document databases.
Distinct from MongoDB Persistence Providers: Shortlist candidates are too narrow, focusing on conversation state or task queues rather than general engine persistence.
Explore 7 awesome GitHub repositories matching data & databases · MongoDB Persistence. Refine with filters or upvote what's useful.
Elsa Core is a workflow engine framework designed for defining, executing, and managing long-running business processes. It functions as a distributed workflow orchestrator and event-driven trigger system, capable of operating as a multi-tenant platform with secure data isolation. The project distinguishes itself through a flexible approach to workflow definitions, supporting a visual drag-and-drop designer, programmatic C# definitions, and portable JSON specifications. It provides a highly extensible architecture allowing for the development of custom activities and the use of a dynamic expr
Provides a persistence provider for storing workflow definitions and execution logs in MongoDB.
PraisonAI is an autonomous AI agent platform that coordinates multiple LLM-powered agents for research, planning, and execution of complex workflows. It functions as a multi-agent orchestration framework, a workflow builder, and a Model Context Protocol server, while also providing retrieval-augmented generation through vector knowledge bases. Agents can interact via CLI, web, or standardized protocols with sandboxed code execution. The platform distinguishes itself with a rich set of agent communication protocols, including A2A, REST, WebSocket, voice and telephony integration, and MCP, allo
Stores and retrieves agent state data in MongoDB for cross-session persistence.
Superduper is an AI agent development kit and LLM application framework designed to build autonomous agents and data-driven applications. It functions as a RAG orchestration platform and vector search infrastructure, coordinating AI models with database storage to perform multi-step computations and actions using persisted data states. The project distinguishes itself by providing a database-integrated machine learning pipeline that executes training and inference tasks directly on data hosted within SQL and NoSQL databases. It allows for the deployment of self-hosted AI infrastructure on pri
Provides a high-level interface for persisting AI-related data and document state in MongoDB.
यह MERN स्टैक (MongoDB, Express, React और Node.js) का उपयोग करके बनाई गई एक फुल स्टैक सोशल मीडिया एप्लिकेशन है। प्लेटफ़ॉर्म को उपयोगकर्ताओं के लिए व्यक्तिगत जीवन की घटनाओं और यादों को साझा करने और देखने के लिए डिज़ाइन किया गया है। यह प्रोजेक्ट यूज़र इंटरफ़ेस के लिए React फ्रंटएंड को API अनुरोधों और डेटा प्रवाह को प्रबंधित करने के लिए Node.js और Express बैकएंड के साथ एकीकृत करता है। यह उपयोगकर्ता पोस्ट और यादों को स्टोर और पुनर्प्राप्त करने के लिए MongoDB डॉक्यूमेंट डेटाबेस का उपयोग करता है। एप्लिकेशन क्लाइंट और सर्वर के बीच संचार के लिए एक REST-आधारित API लागू करती है, जो नेविगेशन और कंपोनेंट-आधारित UI डिज़ाइन के लिए सिंगल पेज एप्लिकेशन आर्किटेक्चर का उपयोग करती है। यह अनुरोध प्रसंस्करण के लिए मिडलवेयर और पूर्ण पेज रिफ्रेश के बिना इंटरफ़ेस को अपडेट करने के लिए क्लाइंट-साइड स्टेट मैनेजमेंट का उपयोग करती है।
Uses MongoDB persistence to store and retrieve user-generated posts and personal life event data.
Ackee is a self-hosted web analytics platform designed for tracking website traffic and visitor behavior. It functions as a privacy-first visitor tracker that allows for the collection of engagement metrics without relying on third-party cloud providers. The platform ensures data ownership through a self-hosted deployment model. It includes an analytics data API that provides a queryable interface for fetching detailed visitor data to create custom reports and external visualizations. The system covers web traffic analysis and privacy-focused user tracking. It supports the generation of tail
Utilizes MongoDB for persisting raw event logs and aggregated analytics data.
Apostrophe is an open-source Node.js headless content management system that delivers structured content through REST APIs while providing a visual in-context page editor for live editing. It is built on a module-based plugin architecture that extends CMS functionality through reusable modules, each encapsulating logic, configuration, and templates. The system uses schema-driven content modeling to define data structures and validation rules through configurable schemas and custom field types, with all content stored as flexible JSON-like documents in MongoDB. The platform distinguishes itsel
Persists all content as flexible JSON-like documents in MongoDB, supporting schema-less data structures and scalable queries.
Distribute crawler is a distributed web scraping framework that integrates with Scrapy to coordinate multiple crawler instances across clusters. It utilizes a centralized task queue to manage and scale concurrent data collection operations, enabling horizontal scaling of scraping tasks across multiple worker nodes. The framework distinguishes itself through its focus on large-scale data management and traffic control. It persists scraped items and binary assets into document-oriented database clusters, utilizing deduplication logic to optimize bandwidth and storage. To maintain consistent dat
Persists scraped items and binary assets into sharded MongoDB clusters for high-volume data management.