Search Results for "Databases Open Source & DevTools" - Page 2

1041 projects for "Databases Open Source & DevTools" with 1 filter applied:

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  • 1
    Wiseflow

    Wiseflow

    Enhance any agent's browser use skill

    Wiseflow is an open-source information extraction and knowledge discovery system designed to collect, filter, and organize valuable information from large volumes of online content. The platform continuously monitors specified sources such as websites, social platforms, and other digital channels to identify relevant data according to user-defined interests or topics.
    Downloads: 1 This Week
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  • 2
    Glances

    Glances

    An eye on your system

    Glances is an open source, cross-platform monitoring tool that aims to provide a significant amount of monitoring information through a curses or Web-based interface. Depending on the size of the user interface, this information can then dynamically adapt. Glances can work in client/server mode, and is also capable of remote monitoring. All systems statistics can be exported to files or external time/value databases.
    Downloads: 18 This Week
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  • 3
    freeCodeCamp

    freeCodeCamp

    freeCodeCamp.org's open-source codebase and curriculum

    freeCodeCamp is a nonprofit educational platform that offers a self-paced curriculum for learning web development, programming, data visualization, APIs, and algorithms. It features interactive coding challenges, real-world projects, and guided progress through topic modules, culminating in certificates for completed tracks. A key aspect is that students contribute to open-source projects for nonprofits or internal tooling as part of their learning, reinforcing both technical and...
    Downloads: 43 This Week
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  • 4
    Zvec

    Zvec

    A lightweight, lightning-fast, in-process vector database

    Zvec is an open-source, lightweight, in-process vector database designed to embed directly into applications and serve fast similarity search workloads without the overhead of a separate server process. Developed by Alibaba’s Tongyi Lab, it positions itself as the “SQLite of vector databases” by being easy to integrate, minimal in dependencies, and capable of handling high throughput with low latency on edge devices or small systems.
    Downloads: 0 This Week
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  • 5
    SqlSugar

    SqlSugar

    .Net aot ORM Fastest ORM DB2 Hana Simple Easy VB.NET Sqlite orm

    SqlSugar is a high-performance, easy-to-use Object-Relational Mapping (ORM) framework for .NET. It supports multiple database systems and offers a rich set of features that simplify database operations, making it a popular choice among .NET developers.
    Downloads: 2 This Week
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  • 6
    Superduper

    Superduper

    Superduper: Integrate AI models and machine learning workflows

    Superduper is a Python-based framework for building end-2-end AI-data workflows and applications on your own data, integrating with major databases. It supports the latest technologies and techniques, including LLMs, vector-search, RAG, and multimodality as well as classical AI and ML paradigms. Developers may leverage Superduper by building compositional and declarative objects that out-source the details of deployment, orchestration versioning, and more to the Superduper engine. This...
    Downloads: 0 This Week
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  • 7
    Paperclip

    Paperclip

    Open-source orchestration for zero-human companies

    Paperclip is an open-source tool designed to help AI systems and developer tools access academic research papers through a standardized interface. The project implements a server based on the Model Context Protocol (MCP), a framework that allows large language models and AI agents to connect to external data sources and tools in a consistent way. By acting as a middleware layer, Paperclip aggregates multiple academic databases and exposes them through a single interface, allowing AI applications to search and retrieve scholarly papers without needing to integrate with each provider individually. ...
    Downloads: 27 This Week
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  • 8
    memsearch

    memsearch

    A Markdown-first memory system, a standalone library for any AI agent

    memsearch is a markdown-first memory system designed to provide long-term memory capabilities for AI agents through structured storage and semantic retrieval. It enables agents to store, organize, and retrieve information using embeddings and hybrid search techniques, ensuring that relevant context is always available. The system supports advanced features such as reranking and progressive disclosure, which help prioritize the most useful information for a given query. It integrates with...
    Downloads: 0 This Week
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  • 9
    LLM Tornado

    LLM Tornado

    The .NET library to build AI agents with 30+ built-in connectors

    LLM Tornado is a provider-agnostic .NET SDK designed to build, orchestrate, and deploy AI agents and workflows with a strong focus on flexibility and integration. It provides a unified interface that connects to more than 30 AI providers and vector databases, allowing developers to switch between models and services without rewriting application logic. The framework introduces a powerful orchestration system based on graph-like structures, where agents, tasks, and transitions can be defined...
    Downloads: 0 This Week
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  • 10
    Superglue

    Superglue

    Builds integrations and tools from natural language

    Superglue is an AI-powered integration platform that enables developers to build production-grade tools and workflows using natural language, abstracting away the complexity of connecting APIs, databases, and external systems. It functions as a universal integration layer that allows users to define workflows in plain language, which are then translated into executable pipelines capable of interacting with multiple services. One of its defining features is its ability to handle...
    Downloads: 0 This Week
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  • 11
    Fast MCP

    Fast MCP

    A Ruby Implementation of the Model Context Protocol

    Fast MCP is a lightweight framework designed to simplify the development and deployment of servers that implement the Model Context Protocol. The Model Context Protocol enables AI assistants and applications to connect with external tools, services, and data sources through a standardized interface. Fast-mcp provides developers with a streamlined toolkit for building MCP servers that expose application functionality to AI agents. The framework focuses on ease of use, allowing developers to...
    Downloads: 0 This Week
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  • 12
    Cheshire Cat AI

    Cheshire Cat AI

    AI agent microservice

    Cheshire Cat AI Core is an open-source framework for building customizable AI agents as scalable microservices, designed to integrate conversational intelligence into applications through an API-first architecture. It allows developers to create advanced AI assistants that can interact through WebSockets, REST APIs, and embedded chat interfaces, making it suitable for both backend services and user-facing applications.
    Downloads: 0 This Week
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  • 13
    Rig

    Rig

    Rust framework for building modular and scalable LLM-powered apps

    Rig is an open source Rust framework designed to help developers build modular and scalable applications powered by large language models. It provides a unified set of abstractions that allow applications to interact with many AI model providers and vector databases through a single interface. Its architecture emphasizes modularity, enabling developers to integrate only the components and integrations they need for a specific application.
    Downloads: 0 This Week
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  • 14
    Memori

    Memori

    SQL-native memory layer enabling persistent context for AI agents

    Memori is an open source SQL-native memory engine designed to add persistent memory capabilities to AI applications, large language models, and multi-agent systems. It provides a memory layer that automatically captures conversations and interactions between users and AI models, allowing systems to retain knowledge across sessions instead of operating statelessly.
    Downloads: 0 This Week
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  • 15
    Dynamiq

    Dynamiq

    An orchestration framework for agentic AI and LLM applications

    Dynamiq is an open-source orchestration framework designed to streamline the development of generative AI applications that rely on large language models and autonomous agents. The framework focuses on simplifying the creation of complex AI workflows that involve multiple agents, retrieval systems, and reasoning steps. Instead of building each component manually, developers can use Dynamiq’s structured APIs and modular architecture to connect language models, vector databases, and external tools into cohesive pipelines. ...
    Downloads: 0 This Week
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  • 16
    SmythOS

    SmythOS

    Cloud-native runtime for agentic AI

    SmythOS SRE (Smyth Runtime Environment) is an open-source runtime and development platform designed for building and operating production-grade AI agents. It provides a foundational infrastructure layer that functions similarly to an operating system for agentic AI systems, managing resources such as language models, storage, vector databases, and caching through a unified interface.
    Downloads: 0 This Week
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  • 17
    ReCall

    ReCall

    Learning to Reason with Search for LLMs via Reinforcement Learning

    ReCall is an open-source framework designed to train and evaluate language models that can reason through complex problems by interacting with external tools. The project builds on earlier work focused on teaching models how to search for information during reasoning tasks and extends that idea to a broader system where models can call a variety of external tools such as APIs, databases, or computation engines.
    Downloads: 0 This Week
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  • 18
    cloud_enum

    cloud_enum

    Multi-cloud OSINT tool for discovering public cloud resources

    cloud_enum is an open source reconnaissance and OSINT tool designed to discover publicly accessible cloud resources across major cloud providers. It focuses on enumerating assets in Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform using keyword-based discovery techniques. It works by taking user-provided keywords and generating variations through mutation wordlists, then testing these combinations against common cloud service naming patterns. cloud_enum performs both HTTP probing and DNS lookups to identify resources such as storage buckets, cloud applications, and databases that may be exposed or accessible. cloud_enum uses concurrent processing to speed up scanning, enabling efficient enumeration of large numbers of possible resource names. ...
    Downloads: 0 This Week
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  • 19
    yt-fts

    yt-fts

    Search all of YouTube from the command line

    yt-fts, short for YouTube Full Text Search, is an open-source command-line tool that enables users to search the spoken content of YouTube videos by indexing their subtitles. The program automatically downloads subtitles from a specified YouTube channel using the yt-dlp utility and stores them in a local SQLite database. Once indexed, users can perform full-text searches across all transcripts to quickly locate keywords or phrases mentioned within the videos.
    Downloads: 2 This Week
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  • 20
    trustfall

    trustfall

    A query engine for any combination of data sources

    trustfall is a flexible and extensible query engine designed to retrieve and analyze data from a wide variety of heterogeneous sources using a unified query language. It allows developers to query APIs, databases, files, and even structured outputs from AI systems as if they were part of a single, cohesive graph-based dataset. The system is inspired by GraphQL-like paradigms, enabling expressive and composable queries that can traverse relationships across different data domains seamlessly....
    Downloads: 0 This Week
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  • 21
    redis-rs

    redis-rs

    Redis library for rust

    Redis-rs is a Rust library for interacting with Redis databases, offering high-performance data manipulation capabilities for Rust developers.
    Downloads: 0 This Week
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  • 22
    faker-cxx

    faker-cxx

    C++ Faker library for generating fake (but realistic) data

    Faker C++ is a C++ library inspired by the popular Faker.js, aimed at providing developers with a robust tool for generating fake (but realistic) data. Whether you're building test suites, populating databases, or creating demos, Faker C++ has got you covered.
    Downloads: 1 This Week
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  • 23
    Node-Casbin

    Node-Casbin

    An authorization library that supports access control models

    Node-Casbin is a powerful and efficient open-source access control library for Node.js projects, supporting various access control models like ACL, RBAC, and ABAC.
    Downloads: 0 This Week
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  • 24
    CAG

    CAG

    Cache-Augmented Generation: A Simple, Efficient Alternative to RAG

    CAG, or Cache-Augmented Generation, is an experimental framework that explores an alternative architecture for integrating external knowledge into large language model responses. Traditional retrieval-augmented generation systems rely on real-time retrieval of documents from databases or vector stores during inference. CAG proposes a different approach by preloading relevant knowledge into the model’s context window and precomputing the model’s key-value cache before queries are processed....
    Downloads: 0 This Week
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  • 25
    Eidos

    Eidos

    An extensible framework for Personal Data Management

    Eidos is an extensible personal data management platform designed to help users organize and interact with their information using a local-first architecture. The system transforms SQLite into a flexible personal database that can store structured and unstructured information such as notes, documents, datasets, and knowledge resources. Its interface is inspired by tools like Notion, allowing users to create documents, databases, and custom views to organize personal information. Unlike...
    Downloads: 0 This Week
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