llmtop — Agent Tool by arinbjornk

by arinbjornk · Agent Tool · ★ 65

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About llmtop

llmtop is an intelligent system monitoring tool that combines real-time system metrics with LLM-powered insights. It provides a dynamic terminal interface showing system performance metrics enhanced with AI-driven analysis. Note: This project is currently in beta testing. Features and interfaces may change. Features Real-time system metrics monitoring (CPU, Memory, Disk, Network) Process monitoring with resource usage AI-powered system analysis using either OpenAI or Ollama Smart alerting system for resource thresholds Dynamic terminal UI with auto-updating metrics Installation Install directly from PyPI: LLM Backend Options llmtop supports two LLM backends for system analysis: OpenAI (GPT-4o mini) Set your OpenAI API key: Run with OpenAI: Ollama with Llama 3.2 3B (Default) Install Ollama from ollama.ai Start the Ollama service Run llmtop: Command Line Options Usage Tips

ai-toolsgputilollamaopenaipsutilrichsystem-monitoringterminal

Quick Facts

Stars65
Forks9
LanguagePython
CategoryAgent Tool
LicenseMIT
Quality Score39.75/100
Open Issues3
Last Updated2025-12-23
Created2024-12-23
Platformspython
Est. Tokens~93k

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Frequently Asked Questions

What is llmtop?

llmtop is A system monitoring tool powered by LLMs that provides real-time insights about your system's performance. It is categorized as a Agent Tool with 65 GitHub stars.

What programming language is llmtop written in?

llmtop is primarily written in Python. It covers topics such as ai-tools, gputil, ollama.

How do I install or use llmtop?

You can find installation instructions and usage details in the llmtop GitHub repository at github.com/arinbjornk/llmtop. The project has 65 stars and 9 forks, indicating an active community.

What license does llmtop use?

llmtop is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to llmtop?

The top alternatives to llmtop on Agent Skills Hub include toktrack, gptree, mcp-server. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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