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591 repositorios

Awesome GitHub RepositoriesMemory Management

Mechanisms for allocating, tracking, and reclaiming system memory to ensure efficient and safe process execution.

Explore 591 awesome GitHub repositories matching operating systems & systems programming · Memory Management. Refine with filters or upvote what's useful.

Awesome Memory Management GitHub Repositories

Encuentra los mejores repositorios con IA.Buscaremos los repositorios que mejor coincidan usando IA.
  • openclaw/openclawAvatar de openclaw

    openclaw/openclaw

    380,031Ver en GitHub↗

    Openclaw es una plataforma para gestionar entornos de ejecución de agentes, proporcionando la infraestructura para controlar los ciclos de vida de los agentes, el estado de la sesión y la persistencia del espacio de trabajo. Cuenta con una puerta de enlace centralizada que maneja bucles de modelos, invocación de herramientas y eventos de streaming, al tiempo que admite el enrutamiento multi-agente y la gestión de memoria persistente. El sistema está diseñado para normalizar las firmas de ejecución de herramientas y proporcionar una interfaz estandarizada para la compatibilidad entre proveedores. La plataforma incluye amplias herramientas para desarrolladores, como una interfaz de línea de comandos para la gestión del espacio de trabajo, registro de diagnósticos y una arquitectura de plugins que permite el registro de herramientas y capacidades personalizadas. Admite flujos de trabajo automatizados a través de hooks basados en eventos, programación de tareas e integración con servicios externos. La seguridad se gestiona mediante políticas de ejecución, portabilidad de credenciales y flujos de trabajo de aprobación para las acciones de los agentes. La implementación es compatible con instaladores de infraestructura automatizados y helpers de puerta de enlace en contenedores, con utilidades integradas para copias de seguridad y gestión de configuración. El sistema proporciona un formato estructurado para orquestar flujos de trabajo de varios pasos e incluye herramientas especializadas para la automatización del navegador y la aplicación de parches de código estructurados.

    Bridges child processes to ensure reliable signal forwarding and clean listener detachment during execution.

    TypeScriptaiassistantcrustacean
    Ver en GitHub↗380,031
  • kamranahmedse/developer-roadmapAvatar de kamranahmedse

    kamranahmedse/developer-roadmap

    357,434Ver en GitHub↗

    Developer Roadmap es una plataforma impulsada por la comunidad que proporciona rutas de aprendizaje estructuradas basadas en grafos para la ingeniería de software. Sirve como un repositorio de conocimiento integral donde los dominios técnicos se organizan en secuencias visuales para guiar la adquisición de habilidades profesionales y el crecimiento profesional. El proyecto se distingue por un ecosistema colaborativo que permite a los usuarios contribuir con roadmaps, curar las mejores prácticas de la industria y mantener perfiles profesionales. Integra marcos de evaluación de diagnóstico para evaluar la competencia técnica, ayudando a los desarrolladores a identificar brechas de conocimiento y prepararse para entrevistas profesionales a través de secuencias de aprendizaje específicas. Más allá de sus capacidades principales de mapeo, la plataforma ofrece ideas de proyectos prácticos y tutoría interactiva para reforzar los conceptos de ingeniería. Proporciona un espacio centralizado para que la comunidad comparta recursos, rastree el desarrollo progresivo de habilidades y navegue por paisajes técnicos complejos.

    Tracks object references to automatically deallocate memory when no active references remain.

    TypeScriptangular-roadmapbackend-roadmapblockchain-roadmap
    Ver en GitHub↗357,434
  • torvalds/linuxAvatar de torvalds

    torvalds/linux

    237,355Ver en GitHub↗

    El kernel de Linux es un núcleo de sistema operativo monolítico que gestiona recursos de hardware, memoria y programación de procesos a través de diversas arquitecturas informáticas. Proporciona un entorno estandarizado y compatible con POSIX para la ejecución de aplicaciones, manteniendo al mismo tiempo un framework de controladores modular que permite la carga y eliminación dinámica de interfaces de hardware. El proyecto se distingue por su kit de herramientas de concurrencia de alto rendimiento, que utiliza primitivas de sincronización sin bloqueo y mecanismos de lectura-copia-actualización para gestionar el acceso a datos compartidos en entornos multinúcleo. Incorpora una suite completa de rastreo e instrumentación del kernel que permite el monitoreo no intrusivo de eventos del sistema, ejecución de funciones y métricas de latencia. Además, el kernel aplica garantías estrictas de estabilidad de interfaz y seguimiento del ciclo de vida para garantizar la compatibilidad con versiones anteriores para aplicaciones dependientes. Más allá de su identidad central, el sistema incluye amplias capacidades para la abstracción de hardware, implementación de protocolos de red y aplicación de políticas de seguridad. Admite requisitos de ingeniería especializados a través de la gestión del estado de energía, optimizaciones de sistemas integrados y procesos de arranque basados en firmware. La arquitectura también cuenta con marcos de diagnóstico robustos para el análisis de memoria, verificación de ejecución del sistema y validación de modelos de programación concurrente. El repositorio de origen proporciona un sistema de compilación completo para transformar código en imágenes binarias ejecutables, incluyendo herramientas para la selección de características del kernel y optimización de configuración para adaptar la salida a requisitos de hardware específicos.

    Verifies synchronization patterns and critical section boundaries to ensure thread safety and prevent race conditions.

    C
    Ver en GitHub↗237,355
  • huggingface/transformersAvatar de huggingface

    huggingface/transformers

    161,630Ver en GitHub↗

    Transformers is a comprehensive library for machine learning that provides a unified interface for training, fine-tuning, and deploying transformer-based models. It supports a wide range of tasks, including text classification, language modeling, question answering, and sequence-to-sequence translation, while offering specialized architectures for both text and vision processing. The framework includes tools for managing the entire model lifecycle, from data preprocessing and tokenization to distributed training and inference. The library features extensive support for model optimization and

    Manages key-value cache states using fixed-size blocks to minimize memory fragmentation during inference.

    Pythonaudiodeep-learningdeepseek
    Ver en GitHub↗161,630
  • golang/goAvatar de golang

    golang/go

    134,756Ver en GitHub↗

    Go is a statically typed, compiled programming language designed for building scalable, concurrent software. It provides a memory-safe execution environment that combines a high-performance runtime with a self-hosting compiler toolchain, enabling the creation of statically linked machine code binaries without external dependencies. The language is built around a structural type system that uses interfaces for polymorphism and a concurrency model based on lightweight, stack-based coroutines that communicate through channels. The language distinguishes itself through a runtime that features a c

    Adjust runtime parameters to balance latency, throughput, and memory footprint through fine-grained control over heap reclamation cycles.

    Gogogolanglanguage
    Ver en GitHub↗134,756
  • electron/electronAvatar de electron

    electron/electron

    121,727Ver en GitHub↗

    This framework provides a multi-process architecture for building desktop applications using web technologies. It manages the application lifecycle, window states, and system-level integrations through a primary entry point, while isolating web content in separate rendering processes to maintain stability and security. A secure bridge mechanism facilitates communication between these isolated contexts and the main process, ensuring that privileged system APIs remain protected. The framework distinguishes itself through a comprehensive security model that includes process sandboxing, content p

    Spawns isolated child processes for CPU-intensive or untrusted tasks while maintaining communication channels with the main application.

    C++c-plus-pluschromecss
    Ver en GitHub↗121,727
  • rustdesk/rustdeskAvatar de rustdesk

    rustdesk/rustdesk

    116,258Ver en GitHub↗

    RustDesk is a cross-platform remote desktop client that enables users to initiate and receive remote sessions. It provides a complete infrastructure for self-hosted remote access, utilizing a signaling and relay server architecture to maintain connectivity when direct peer-to-peer links are unavailable. The software is designed to function across desktop and mobile environments, offering native remote control, screen sharing, and file management capabilities. What distinguishes the platform is its centralized administrative control plane, which allows for granular management of security polic

    Maintains continuous uptime for relay and ID servers by running them as persistent background daemon processes.

    Rustandroidanydeskdart
    Ver en GitHub↗116,258
  • rust-lang/rustAvatar de rust-lang

    rust-lang/rust

    114,066Ver en GitHub↗

    Rust is a programming language designed for memory safety and performance. It provides a comprehensive curriculum that covers fundamental syntax, memory management, and advanced programming paradigms, including support for functional and object-oriented styles. The language features a strong type system that enforces memory safety through ownership, borrowing, and lifetime annotations, while also offering mechanisms for handling both recoverable and unrecoverable errors. The language includes extensive support for concurrent programming, providing primitives for thread management, shared-stat

    Regulates modifications to borrowed data to prevent data races and ensure thread safety.

    Rustcompilerlanguagerust
    Ver en GitHub↗114,066
  • 2dust/v2raynAvatar de 2dust

    2dust/v2rayN

    109,164Ver en GitHub↗

    v2rayN is a cross-platform graphical management suite designed to centralize the configuration and execution of multiple network proxy protocols. It functions as a unified control plane that abstracts heterogeneous proxy backends, allowing users to manage diverse network routing engines through a single interface. The platform distinguishes itself by providing a consistent management experience across Windows, Linux, and macOS, while orchestrating the lifecycle of independent proxy processes as child services. It supports specific configuration ecosystems, enabling users to organize and switc

    Orchestrates the lifecycle and configuration of independent proxy processes by monitoring external core executables as child services.

    C#proxyshadowsockssocks5
    Ver en GitHub↗109,164
  • microsoft/terminalAvatar de microsoft

    microsoft/terminal

    103,685Ver en GitHub↗

    This project is a terminal emulator that provides a modern command-line interface with support for tabbed navigation, GPU-accelerated text rendering, and comprehensive Unicode character display. It functions as a host for multiple shell sessions, managing them as independent processes within a unified windowing environment while maintaining compatibility with legacy console applications through a robust sequence parsing engine. Beyond its role as a standalone application, the project is built on a modular architecture that exposes its core logic as a reusable library. This design allows devel

    Coordinates multiple independent shell processes within a unified, tabbed user interface for improved workflow management.

    C++cmdcommand-lineconsole
    Ver en GitHub↗103,685
  • pytorch/pytorchAvatar de pytorch

    pytorch/pytorch

    100,814Ver en GitHub↗

    PyTorch is a machine learning framework centered on a GPU-ready tensor library that supports multi-dimensional array operations across both CPU and accelerator hardware. It provides a foundational infrastructure for mathematical computation and dynamic neural network construction, utilizing a tape-based automatic differentiation system that allows for flexible, non-static graph execution. The framework is designed for deep integration with Python, enabling natural usage alongside standard scientific computing ecosystems. It distinguishes itself through a comprehensive distributed training sui

    Coordinates subprocess lifecycles while managing error propagation and automatic resource cleanup.

    Pythonautograddeep-learninggpu
    Ver en GitHub↗100,814
  • puppeteer/puppeteerAvatar de puppeteer

    puppeteer/puppeteer

    94,811Ver en GitHub↗

    Puppeteer is a browser automation library that provides a programmatic interface for controlling web browsers to execute tasks, simulate user interactions, and perform end-to-end testing. It functions as a headless browser controller, managing browser lifecycles, isolated session contexts, and remote connections to facilitate stable, automated web-based workflows. The library distinguishes itself through its deep integration with the Chrome DevTools Protocol, utilizing a bidirectional message bus to execute commands and receive real-time event notifications. It supports advanced automation pa

    Spawns and manages dedicated host processes to ensure stable and predictable browser environments for automation.

    TypeScriptautomationchromechromium
    Ver en GitHub↗94,811
  • hacksider/deep-live-camAvatar de hacksider

    hacksider/Deep-Live-Cam

    93,878Ver en GitHub↗

    Deep-Live-Cam is a generative video transformation tool designed for real-time facial manipulation and cinematic enhancement. It functions as a local-first AI runtime, performing all media processing directly on the user's hardware to ensure complete data privacy without external network dependencies. By utilizing a high-performance processing pipeline, the application enables live face swapping and interactive video modifications during active streaming sessions or on pre-recorded media. The system distinguishes itself through a hardware-abstraction execution layer that dynamically routes co

    Buffers incoming video streams into manageable segments to maintain stable memory usage during intensive real-time transformation tasks.

    Pythonaiai-deep-fakeai-face
    Ver en GitHub↗93,878
  • microsoft/playwrightAvatar de microsoft

    microsoft/playwright

    91,074Ver en GitHub↗

    Playwright is a comprehensive browser automation framework designed for end-to-end testing and web workflow automation. It provides a unified API to drive web applications across multiple browser engines, enabling developers to simulate complex user interactions, perform web scraping, and validate application behavior in consistent, isolated environments. The framework distinguishes itself through a web-first testing paradigm that prioritizes stability and resilience. By utilizing an auto-waiting actionability engine and accessibility-tree-based locators, it eliminates common sources of test

    Manual disposal of element and JavaScript handles prevents memory leaks by ensuring resources are released when no longer needed.

    TypeScriptautomationchromechromium
    Ver en GitHub↗91,074
  • opencv/opencvAvatar de opencv

    opencv/opencv

    89,201Ver en GitHub↗

    OpenCV is a comprehensive computer vision library designed for real-time performance and cross-platform deployment. It provides a native execution environment that leverages multi-threaded operations and automated memory management to handle intensive computational tasks, including image processing and machine learning model inference. The library distinguishes itself through a data-oriented matrix framework that utilizes proxy-based array abstractions to provide a consistent interface for multidimensional data. By employing factory-pattern algorithm interfaces and runtime type dispatching, i

    Tracks object references to ensure memory buffers are automatically deallocated when no longer in active use.

    C++c-plus-pluscomputer-visiondeep-learning
    Ver en GitHub↗89,201
  • vllm-project/vllmAvatar de vllm-project

    vllm-project/vllm

    83,048Ver en GitHub↗

    vLLM is a high-throughput inference engine designed for the efficient serving and execution of large language models. It functions as a production-ready distributed model server, providing standard API protocols for online serving while also supporting offline batch processing. The system is built to maximize token generation speed and memory efficiency, enabling both large-scale cloud deployments and local execution on personal hardware. The project distinguishes itself through advanced memory management and request scheduling techniques, most notably its use of non-contiguous key-value cach

    Manages key-value cache memory in non-contiguous blocks to eliminate fragmentation and enable efficient dynamic batching.

    Pythonamdblackwellcuda
    Ver en GitHub↗83,048
  • obsproject/obs-studioAvatar de obsproject

    obsproject/obs-studio

    73,384Ver en GitHub↗

    This project is a professional live video production suite designed for capturing, encoding, and broadcasting high-quality media. At its core, it features a real-time media processing engine that utilizes hardware acceleration to composite multiple audio and video sources with minimal latency. The application provides a centralized studio interface for managing complex scene transitions, layering visual sources through a hierarchical scene-graph engine, and streaming content to multiple platforms simultaneously. The software is built on a cross-platform abstraction layer that ensures consiste

    Manages object references and memory pools to prevent leaks when sharing data across different programming languages.

    Ccc-plus-plusdirectshow
    Ver en GitHub↗73,384
  • python/cpythonAvatar de python

    python/cpython

    73,265Ver en GitHub↗

    CPython is the primary, community-maintained reference implementation of the Python programming language. It functions as a high-level, interpreted execution environment that compiles source code into platform-independent bytecode for processing by a stack-based virtual machine. The runtime manages memory through a combination of reference counting and generational cyclic garbage collection, while dynamic type dispatching determines object behavior at runtime based on metadata stored within object headers. The project is distinguished by its C-based architecture, which provides a stable forei

    Maintains object lifecycles by tracking active references and automatically freeing memory when objects are no longer reachable.

    Python
    Ver en GitHub↗73,265
  • fffaraz/awesome-cppAvatar de fffaraz

    fffaraz/awesome-cpp

    71,817Ver en GitHub↗

    This project is a comprehensive, curated directory of high-quality libraries, tools, and educational resources for C and C++ development. It serves as an ecosystem discovery index, helping developers navigate the vast landscape of third-party components, frameworks, and technical documentation available for the language. The collection is distinguished by its focus on high-performance systems programming and technical mastery. It provides deep coverage of specialized domains including SIMD-accelerated data processing, compile-time template metaprogramming, and asynchronous event-driven archit

    Compiles memory management utilities and garbage collection libraries for system-level development.

    awesomeawesome-listc
    Ver en GitHub↗71,817
  • protocolbuffers/protobufAvatar de protocolbuffers

    protocolbuffers/protobuf

    71,359Ver en GitHub↗

    Protocol Buffers es un mecanismo neutral al lenguaje y agnóstico a la plataforma para serializar datos estructurados. Proporciona una cadena de herramientas basada en esquemas que compila definiciones de datos declarativas en código fuente con seguridad de tipos, lo que permite una comunicación consistente y contratos de API fuertemente tipados en servicios escritos en diferentes lenguajes de programación. El proyecto se distingue por un formato binario altamente eficiente que utiliza codificación basada en etiquetas y compresión de enteros de ancho variable para minimizar el tamaño de la carga útil y la sobrecarga de procesamiento. Admite una gestión evolutiva y robusta de esquemas, lo que permite a los desarrolladores actualizar las estructuras de datos de forma incremental mientras mantienen la compatibilidad hacia atrás y hacia adelante. Esto se ve reforzado por un sistema de edición versionado que gestiona conjuntos de funciones y lógica de serialización en componentes de software distribuidos. Más allá de su serialización binaria central, el proyecto incluye capacidades para la conversión a JSON canónico con validación de esquemas, control granular de visibilidad de símbolos y seguimiento de presencia de campos para distinguir entre valores predeterminados y no establecidos. También proporciona optimizaciones especializadas, como la gestión de memoria basada en arena (arena-based) para implementaciones en C++, para mejorar el rendimiento durante la creación y limpieza de árboles de mensajes complejos.

    Allocates objects within contiguous memory blocks to improve performance and simplify cleanup by deallocating entire message trees simultaneously.

    C++marshallingprotobufprotobuf-runtime
    Ver en GitHub↗71,359
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  1. Home
  2. Operating Systems & Systems Programming
  3. Kernel and Core Internals
  4. Process and Memory Management
  5. Memory Management

Explorar subetiquetas

  • AdaptiveSystems that dynamically switch between in-memory and disk-based processing based on available physical memory. **Distinct from Memory Management:** Focuses on the transition between memory and disk (out-of-core) for large datasets, rather than just allocation/reclamation.
  • Allocation Strategies3 sub-etiquetasTechniques for manual or semi-automated memory reservation and block organization, distinct from automated garbage collection.
  • Automated Reclamation Systems3 sub-etiquetasMechanisms for tracking object lifecycles and reclaiming memory without manual intervention, distinct from block-based allocation.
  • Binary Memory Layouts2 sub-etiquetasMemory management techniques that use raw binary formats to avoid object overhead and garbage collection. **Distinct from Memory Management:** Focuses on the memory layout and binary representation rather than just the allocation strategy.
  • Buffer and Cache Management8 sub-etiquetasSpecialized memory structures for handling high-throughput data streams and caching, distinct from general-purpose heap management.
  • Capability-Based Memory ReclamationRevokes child capabilities to free untyped memory for reuse, enabling efficient physical memory reallocation. **Distinct from Memory Management:** Distinct from Memory Management: specifically uses capability revocation to reclaim memory, not general allocation or tracking.
  • Compile-Time2 sub-etiquetasMemory management enforced by strict compile-time rules to ensure safety without garbage collection. **Distinct from Memory Management:** Distinct from general Memory Management: focuses on the compile-time enforcement of ownership rather than runtime allocation strategies.
  • Inference Cache Management6 sub-etiquetasAllocates and manages key-value cache buffers during model inference to optimize memory usage based on sequence length. **Distinct from Memory Management:** Distinct from general memory management: focuses specifically on KV-cache buffers for LLM inference rather than system-level process memory.
  • Memory Pinning Mechanisms1 sub-etiquetaGuarantees that values remain at fixed memory locations to support safe asynchronous operations. **Distinct from Memory Management:** Distinct from general Memory Management: focuses specifically on pinning values for async safety rather than general allocation.
  • Memory Safety and Semantics10 sub-etiquetasLanguage-level constructs and patterns for ensuring valid memory access and safe data borrowing, distinct from runtime allocation management.
  • Process Lifecycle Orchestrators9 sub-etiquetasTools for spawning, monitoring, and managing the execution environment of child processes, distinct from internal memory management.
  • Reclaim Tracing1 sub-etiquetaObserving the kernel's direct memory reclaim activities and process impact. **Distinct from Memory Management:** Focuses on the observability of the reclaim process, whereas the parent covers the overall memory management mechanism.
  • SRAM-AwareTechniques for explicitly managing data movement between high-speed on-chip memory and main device memory. **Distinct from Memory Management:** Distinct from general memory management: focuses on hardware-specific SRAM utilization for throughput optimization.
  • Smart ContractTechniques for handling memory pointers and data slices to optimize memory usage in smart contracts. **Distinct from Memory Management:** Distinct from general Memory Management: focuses on EVM-specific memory pointer and data slice manipulation rather than OS-level allocation.
  • Type Size Inspectors3 sub-etiquetasUtilities for calculating the memory size of specific types. **Distinct from Memory Management:** Distinct from general memory management: focuses on type-level size calculation.