Showing 227 open source projects for "tools"

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  • Build Agents and Models on One Platform Icon
    Build Agents and Models on One Platform

    Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.

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    Train ML Models With SQL You Already Know

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  • 1
    RuVector

    RuVector

    Self-Learning, Vector Graph Neural Network, and Database built in Rust

    RuVector is part of the broader rUv ecosystem of AI engineering tools and focuses on enabling advanced vector-based processing and intelligent system development within agentic and AI-driven pipelines. The project fits into a larger vision of modular, composable AI infrastructure designed to support autonomous agents, data retrieval, and intelligent automation workflows. It emphasizes extensibility and interoperability with modern AI stacks, allowing developers to integrate vector operations into search, reasoning, or generative systems. ...
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  • 2
    corroded

    corroded

    Set of utilities consisting of idiomatic and safe rust utilities

    corroded is a Rust project that intentionally strips away Rust’s safety guarantees and idiomatic protections, offering utilities and patterns that prioritize raw power and freedom over the usual borrow checker enforcement or strict ownership rules. Its README and community reactions suggest a mix of satire and extreme experimentation: the project makes “unsafe” Rust easier to use by removing typical compile-time checks, pushing the language toward behavior more like C for cases where...
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  • 3
    Steam Deck Guide

    Steam Deck Guide

    Learn all about the Tools, Accessories, Games, Emulators

    The Steam Deck Guide repository is a community-driven resource aimed at helping users get the most out of their Valve Steam Deck — covering everything from initial configuration and system tweaks to performance optimization, emulation workflows, game compatibility, and hardware customization. It begins with basic setup topics like installing updates, connecting peripherals, and configuring SteamOS settings, then progresses into intermediate skills such as managing storage, optimizing battery...
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  • 4
    Holochain

    Holochain

    The current, performant & industrial strength version of Holochain

    Holochain is a post-blockchain framework for building agent-centric, distributed applications. Instead of using global consensus, Holochain enables each agent (user) to maintain their own local state while validating actions with a shared set of rules. This allows for scalable, secure, and resilient apps where data is owned and controlled by users. Ideal for social apps, cooperatives, and data sovereignty platforms, Holochain focuses on enabling collaboration without central servers or...
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  • Build Securely on AWS with Proven Frameworks Icon
    Build Securely on AWS with Proven Frameworks

    Lay a foundation for success with Tested Reference Architectures developed by Fortinet’s experts. Learn more in this white paper.

    Moving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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  • 5
    k23

    k23

    Experimental WASM Microkernel Operating System

    k23 is a microkernel-based operating system project written in Zig, an emerging systems programming language focused on safety, simplicity, and performance. k23 explores the design of modern OS features like message-passing, memory protection, and modular service construction using Zig’s powerful low-level capabilities. It is an experimental and educational project intended to show how Zig can be used for robust, readable systems programming while enabling contributors to rethink traditional...
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  • 6
    Peroxide

    Peroxide

    Rust numeric library with high performance and friendly syntax

    Rust numeric library contains linear algebra, numerical analysis, statistics and machine learning tools with R, MATLAB, Python-like macros. Peroxide uses a 1D data structure to represent matrices, making it straightforward to integrate with BLAS (Basic Linear Algebra Subprograms). This means that Peroxide can guarantee excellent performance for linear algebraic computations by leveraging the optimized routines provided by BLAS. For users familiar with numerical computing libraries like NumPy, MATLAB, or R, Rust's syntax might seem unfamiliar at first. ...
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  • 7
    youki

    youki

    A container runtime written in Rust

    youki is an implementation of the OCI runtime-spec in Rust, similar to runc. Rust is one of the best languages to implement the oci-runtime spec. Many very nice container tools are currently written in Go. However, the container runtime requires the use of system calls, which requires a bit of special handling when implemented in Go. This is too tricky (e.g. namespaces(7), fork(2)); with Rust, it's not that tricky. And, unlike in C, Rust provides the benefit of memory safety. While Rust is not yet a major player in the container field, it has the potential to contribute a lot: something this project attempts to exemplify. youki has the potential to be faster and use less memory than runc, and therefore works in environments with tight memory usage requirements. ...
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  • 8
    Stakpak

    Stakpak

    Ship your code, on autopilot. An open source agent

    Stakpak is an open-source autonomous DevOps agent designed to run continuously on a machine, managing infrastructure, deployments, and operational tasks with minimal human intervention. It acts as a persistent system-level assistant that monitors applications, executes DevOps workflows, and only alerts humans when necessary, effectively automating routine operational responsibilities. The agent is built with strong safety considerations, including guardrails that prevent destructive actions...
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  • 9
    LaReview

    LaReview

    The code review workbench

    LaReview is a developer-first, local-first code review workbench designed to transform complex pull requests or diffs into structured, high-signal review workflows powered by AI assistance. Instead of overwhelming developers with raw diffs or automated comment spam, the tool analyzes code changes and generates an intent-driven review plan that groups changes into logical flows such as authentication, API behavior, or data handling, and prioritizes them based on risk. It operates as a desktop...
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  • MongoDB Atlas runs apps anywhere Icon
    MongoDB Atlas runs apps anywhere

    Deploy in 115+ regions with the modern database for every enterprise.

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  • 10
    Aglais XQVM

    Aglais XQVM

    A rust implementation of the Quip Network's quantum virtual machine

    ...It integrates with the broader Quip ecosystem, allowing it to function as part of a larger protocol stack that includes blockchain infrastructure and node management tools. The virtual machine abstraction enables developers to define and execute computational logic in a controlled environment, potentially bridging classical and quantum paradigms. Its design suggests use cases in advanced computation, cryptography, or experimental distributed systems.
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  • 11
    Rust Port

    Rust Port

    The Rust workspace under rust/ is the current systems-language port

    ...It functions as a programmable coding assistant that operates through autonomous workflows, enabling users to generate, modify, and analyze code with minimal manual intervention. The project emphasizes agent-based execution, where tasks are broken down into steps and handled iteratively, simulating how modern AI coding tools operate in production environments. It is often used as a sandbox for exploring how large-scale coding agents behave, including their decision-making processes, tool usage, and workflow orchestration. The system likely includes abstractions for handling file systems, executing commands, and maintaining context across sessions, allowing for more persistent and intelligent coding interactions.
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  • 12
    Floneum

    Floneum

    Instant, controllable, local pre-trained AI models in Rust

    ...The system allows users to design complex AI pipelines using a drag-and-drop workflow builder rather than writing extensive code. It focuses on enabling developers and researchers to create language model applications that combine different tools, data sources, and AI capabilities into automated workflows. Floneum supports a plugin architecture that allows external components to extend the platform while maintaining isolation and security. Many plugins can be written in different programming languages and compiled to WebAssembly modules, allowing them to run safely within the system. ...
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  • 13
    TAWS

    TAWS

    A terminal-based AWS resource viewer and manager

    ...Because it runs in a terminal and is written with performance in mind, taws offers rapid navigation, filtering, and inspection of cloud services while maintaining keyboard-driven efficiency, similar to how tools like k9s help interact with Kubernetes clusters. The TUI layout allows users to traverse hierarchical AWS structures, inspect details, and often take action from within the same environment, making cloud management more fluid and less context-switching.
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  • 14
    Kameo

    Kameo

    Fault-tolerant Async Actors Built on Tokio

    ...It's not just about making concurrent programming easier—it's about empowering you to build the reliable, efficient, and scalable systems that today's users demand. Whether you're a seasoned developer or just starting out, Kameo is designed to be relatable and accessible, providing you with the tools you need to bring your ideas to life.
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  • 15
    Ockam

    Ockam

    Orchestrate end-to-end encryption, mutual authentication

    Ockam is a suite of open source tools, programming libraries, and managed cloud services to orchestrate end-to-end encryption, mutual authentication, key management, credential management, and authorization policy enforcement – at massive scale. Modern applications are distributed and have an unwieldy number of interconnections that must trustfully exchange data. To build trust for data-in-motion, applications need end-to-end guarantees of data authenticity, integrity, and confidentiality. ...
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  • 16
    Percy

    Percy

    Build frontend browser apps with Rust + WebAssembly

    ...Percy supports multiple rendering strategies, including client-side rendering, server-side rendering, and hybrid approaches, giving developers flexibility in how applications are delivered and optimized. The framework integrates closely with the Rust ecosystem, leveraging tools like wasm-bindgen to compile Rust code into WebAssembly modules that run in the browser. It emphasizes performance and type safety, allowing developers to build complex interfaces while benefiting from Rust’s compile-time guarantees. Percy also includes routing and component state management features, enabling the creation of full-featured single-page applications.
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  • 17
    shimmy

    shimmy

    Python-free Rust inference server

    ...Shimmy focuses on performance and simplicity, using efficient runtime components to minimize memory usage and startup time compared to heavier inference frameworks. It supports modern model formats such as GGUF and SafeTensors and can automatically discover models stored locally or in common directories used by other AI tools. Advanced capabilities include CPU offloading for Mixture-of-Experts models and GPU acceleration, enabling large models to run on consumer hardware with limited VRAM.
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  • 18
    Paddler

    Paddler

    Open-source LLM load balancer and serving platform for hosting LLMs

    ...The architecture is designed with privacy and cost control in mind, making it suitable for organizations that handle sensitive data or require predictable operational costs. Paddler also includes tools for monitoring, request buffering, and autoscaling integration so that deployments can adapt dynamically to changing workloads. A built-in administrative interface allows developers and operations teams to manage models, observe system performance, and test inference endpoints.
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  • 19
    MooseStack

    MooseStack

    The developer framework for building analytical backends

    MooseStack is an opinionated starter stack that assembles a modern web application foundation—project structure, build tooling, and deployment scripts—so teams can get from “blank repo” to a working product quickly. It provides a coherent layout for server and client code, standardizes environment configuration, and includes scripts to run the app locally with the same conventions you’ll use in staging or production. The stack favors convention over configuration: common decisions around...
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  • 20
    Branchless workflow for Git

    Branchless workflow for Git

    High-velocity, monorepo-scale workflow for Git

    git-branchless is a suite of tools that enhances Git in several ways. It makes Git easier to use, both for novices and for power users. Patch-stack workflows: strong support for "patch-stack" workflows as used by the Linux and Git projects, as well as at many large tech companies. (This is how Git was "meant" to be used.) Prototyping and experimenting workflows: strong support for prototyping and experimental work via "divergent" development. git sync: to rebase all local commit stacks and branches without having to check them out first. git move: The ability to move subtrees rather than "sticks" while cleaning up old branches, not touching the working copy, etc. ...
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  • 21
    Findomain

    Findomain

    Fast open source tool for discovering and monitoring domain subdomains

    Findomain is an open source reconnaissance tool designed to discover and enumerate subdomains associated with a target domain. It focuses on speed and reliability by using Certificate Transparency logs and multiple well tested public APIs instead of relying solely on brute force scanning techniques. By querying multiple passive data sources in parallel, the tool can identify a large number of subdomains within a short time, making it useful for security researchers, penetration testers, and...
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  • 22
    Amazon Q Developer CLI

    Amazon Q Developer CLI

    Chat experience in your terminal

    ...It also integrates with common developer flows, offering autocompletion and step-by-step plans before running potentially destructive actions. The CLI targets macOS and Linux and is designed to coexist with standard tools rather than replace them, acting as a smart layer on top. Team-focused features center on repeatability and transparency so generated changes can be reviewed, amended, and committed like any other code.
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  • 23
    gitoxide

    gitoxide

    An idiomatic, lean, fast & safe pure Rust implementation of Git

    ...It's written to optimize the user experience and perform as well or better than the canonical implementation. Furthermore, it provides an easy and safe to use API in the form of various small crates for implementing your own tools in a breeze. Please see 'Development Status' for a listing of all crates and their capabilities. Please note that all functionality comes from the gitoxide-core library, which mirrors these capabilities and itself relies on all git-* crates. Limit the number of threads used in operations that support it. Choose between 'human' and 'JSON' output formats. ...
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  • 24
    Every Code

    Every Code

    Local AI coding agent CLI with multi-agent orchestration tools

    Every Code (often referred to simply as Code) is a fast, local AI-powered coding agent designed to run directly in the terminal environment. It is a community-driven fork of the Codex CLI, with a strong emphasis on improving real-world developer ergonomics and workflows. Every Code enhances the traditional coding assistant model by introducing multi-agent orchestration, allowing multiple AI agents to collaborate, compare solutions, and refine outputs in parallel. It supports integration with...
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  • 25
    Bend

    Bend

    A massively parallel, high-level programming language

    ...Because it’s embedded in a graphical or console interface, Bend aims to reduce the friction of switching between editor and runtime when prototyping or debugging ideas in Kotlin. It can also be extended with libraries or domain-specific tools, making it a flexible playground for domain scripting, education, or data exploration.
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