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4 个仓库

Awesome GitHub RepositoriesRemote Execution Protocols

Standardized interfaces for offloading resource-intensive tasks to distributed computing clusters.

Distinguishing note: Focuses on the protocol for distributed task execution.

Explore 4 awesome GitHub repositories matching devops & infrastructure · Remote Execution Protocols. Refine with filters or upvote what's useful.

Awesome Remote Execution Protocols GitHub Repositories

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  • bazelbuild/bazelbazelbuild 的头像

    bazelbuild/bazel

    25,529在 GitHub 上查看↗

    Bazel is a multi-language build automation engine designed to manage complex dependency graphs and execute compilation tasks for massive codebases. It functions as a hermetic build environment, utilizing sandboxed execution and content-addressable caching to ensure that build artifacts are reproducible and that identical tasks are never re-executed. By modeling dependencies as a directed acyclic graph, the system determines optimal execution order and identifies tasks that can run in parallel. The project distinguishes itself through its support for distributed build execution, allowing resou

    Offloads resource-intensive build tasks to distributed computing clusters via a standardized protocol.

    Javabazelbuildbuild-system
    在 GitHub 上查看↗25,529
  • smol-ai/developersmol-ai 的头像

    smol-ai/developer

    12,188在 GitHub 上查看↗

    This project is an AI software engineering tool and framework for building autonomous coding agents. It provides a system for automating program synthesis and bug fixing by integrating large language models with codebase analysis and iterative refinement loops. The framework features an agentic development server that exposes task execution interfaces to remote agents through a structured protocol. This allows for the remote execution of development tasks and the embedding of autonomous program synthesis capabilities into external software projects. The toolset covers AI-driven project scaff

    Executes development tasks over a standardized server interface to decouple agent logic from the environment.

    Python
    在 GitHub 上查看↗12,188
  • axolotl-ai-cloud/axolotlaxolotl-ai-cloud 的头像

    axolotl-ai-cloud/axolotl

    12,059在 GitHub 上查看↗

    Axolotl is a configuration-driven framework designed for the fine-tuning, evaluation, and quantization of large language models. It functions as a comprehensive orchestrator for distributed training, enabling users to manage complex workflows across multi-node and multi-GPU environments. By utilizing structured configuration files, the platform streamlines the setup of training parameters, dataset paths, and hardware distribution strategies. The project distinguishes itself through its support for diverse training methodologies, including full-parameter tuning, parameter-efficient adaptation,

    Offloads training and inference tasks to cloud infrastructure using configuration-defined remote compute environments.

    Pythonfine-tuningllm
    在 GitHub 上查看↗12,059
  • pantsbuild/pantspantsbuild 的头像

    pantsbuild/pants

    3,720在 GitHub 上查看↗

    Pants is a monorepo build system designed to manage multi-language software projects within a single repository. It functions as a polyglot task runner and distributed build orchestrator, providing a unified interface for executing compilers, linters, and test runners across different programming languages. The system is distinguished by a dependency analysis engine that uses static source code analysis to model software dependencies, removing the need for manual build metadata files. It ensures reproducible builds through hermetic isolation and protects the software supply chain using depend

    Implements a standardized protocol for distributing build and test tasks across a cluster of worker nodes.

    Pythonaws-lambdabuildbuild-system
    在 GitHub 上查看↗3,720
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