ClusterOps banner
The-Swarm-Corporation The-Swarm-Corporation

ClusterOps

Development community

Description

ClusterOps is an enterprise-grade Python library developed and maintained by the Swarms Team to help you manage and execute agents on specific CPUs and GPUs across clusters. This tool enables advanced CPU and GPU selection, dynamic task allocation, and resource monitoring, making it ideal for high-performance distributed computing environments.

Installation

This entry records only its repository, not the path inside it, so there is no exact command to give. Open the source below and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

README

ClusterOps

[![Join our Discord](https://img.shields.io/badge/Discord-Join%20our%20server-5865F2?style=for-the-badge&logo=discord&logoColor=white)](https://discord.gg/agora-999382051935506503) [![Subscribe on YouTube](https://img.shields.io/badge/YouTube-Subscribe-red?style=for-the-badge&logo=youtube&logoColor=white)](https://www.youtube.com/@kyegomez3242) [![Connect on LinkedIn](https://img.shields.io/badge/LinkedIn-Connect-blue?style=for-the-badge&logo=linkedin&logoColor=white)](https://www.linkedin.com/in/kye-g-38759a207/) [![Follow on X.com](https://img.shields.io/badge/X.com-Follow-1DA1F2?style=for-the-badge&logo=x&logoColor=white)](https://x.com/kyegomezb)

[![License](https://img.shields.io/badge/license-MIT-blue.svg)](LICENSE) [![Python Version](https://img.shields.io/badge/python-3.8%2B-brightgreen.svg)](https://python.org) [![Build Status](https://img.shields.io/github/actions/workflow/status/swarms-team/clusterops/test.yml?branch=master)](https://github.com/swarms-team/clusterops/actions) [![Coverage Status](https://img.shields.io/codecov/c/github/swarms-team/clusterops)](https://codecov.io/gh/swarms-team/clusterops)

**ClusterOps** is an enterprise-grade Python library developed and maintained by the **Swarms Team** to help you manage and execute agents on specific **CPUs** and **GPUs** across clusters. This tool enables advanced CPU and GPU selection, dynamic task allocation, and resource monitoring, making it ideal for high-performance distributed computing environments.


Features

  • CPU Execution: Dynamically assign tasks to specific CPU cores.
  • GPU Execution: Execute tasks on specific GPUs or dynamically select the best available GPU based on memory usage.
  • Fault Tolerance: Built-in retry logic with exponential backoff for handling transient errors.
  • Resource Monitoring: Real-time CPU and GPU resource monitoring (e.g., free memory on GPUs).
  • Logging: Advanced logging configuration with customizable log levels (DEB