RAM Monitor

RAM monitor for the top bar of Ubuntu

The best real-time RAM tracking tool

Monitoring the temperature of your RAM directly from the Ubuntu top bar with RAM Monitor. This application is fully integrated with the latest Ubuntu operating system. Get real-time updates and optimize your tasks. Download it now and take control of your RAM health!

RAM monitor

About RAM Monitor

RAM Monitor is an intuitive tool designed for developers and professionals who need to keep an eye on their RAM health in real time. It integrates perfectly with the Ubuntu top bar, providing essential information at your fingertips.

Key Features

  • Real-time monitoring: see the RAM temperature, all updated live.
  • Optimized for Ubuntu: designed to integrate seamlessly with the latest Ubuntu operating system.

Instalation

Clone the repository

Clone it with https

	
git clone https://github.com/maximofn/ram_monitor.git
Copied

or with ssh

	
git clone [email protected]:maximofn/ram_monitor.git
Copied

Install the dependencies

Make sure you don't have any venv or conda environment installed

	
if [ -n "$VIRTUAL_ENV" ]; then
deactivate
fi
if command -v conda &>/dev/null; then
conda deactivate
fi
Copied

Now install the dependencies

	
sudo apt install lm-sensors
Copied

Answer yes to all questions

	
sudo sensors-detect
Copied

Installation of psensor

	
sudo apt install psensor
Copied

Run on startup

Run this script

	
./add_to_startup.sh
Copied

Then when you restart your computer, the RAM Monitor will start automatically.

Support

If you like it consider giving the repository a star ⭐, but if you really like it consider buying me a coffee ☕.

BuyMeACoffee

Continue reading

Last posts -->

Have you seen these projects?

Horeca chatbot

Horeca chatbot Horeca chatbot
Python
LangChain
PostgreSQL
PGVector
React
Kubernetes
Docker
GitHub Actions

Chatbot conversational for cooks of hotels and restaurants. A cook, kitchen manager or room service of a hotel or restaurant can talk to the chatbot to get information about recipes and menus. But it also implements agents, with which it can edit or create new recipes or menus

Subtify

Subtify Subtify
Python
Whisper
Spaces

Subtitle generator for videos in the language you want. Also, it puts a different color subtitle to each person

View all projects -->

Do you want to apply AI in your project? Contact me!

Do you want to watch any talk?

Tomorrow's Agents: Deciphering the Mysteries of Planning, UX and Memory

Tomorrow's Agents: Deciphering the Mysteries of Planning, UX and Memory

AI agents, powered by LLMs, promise to transform applications. But are they simple executors today or future intelligent collaborators? To reach their true potential, we must overcome critical barriers. This talk delves into the three puzzles that will define the next generation of agents: 1. Advanced Planning (The Brain): Today's agents often stumble on complex tasks. We'll explore how, beyond basic function calls, cognitive architectures enable robust plans, anticipation of problems, and deep reasoning. How do we make them think several steps ahead? 2. Revolutionary UX (The Soul): Interacting with an agent cannot be a source of frustration. We'll discuss how to transcend traditional chat toward human-on-the-loop interfaces—collaborative, generative, and accessible UX. How to Design Engaging Experiences? 3. Persistent Memory (The Legacy): An agent that forgets what it's learned is doomed to inefficiency. We'll look at techniques for empowering agents with meaningful memory that goes beyond their history, enabling them to learn and making each interaction smarter. With practical examples, we'll not only understand the magnitude of these challenges, but we'll also take away concrete ideas and a clear vision to help build the agents of tomorrow: smarter, more intuitive, and truly capable. Will you join us on the journey to unravel the next chapter of AI agents?

Last talks -->

Do you want to improve with these tips?

Last tips -->

Use this locally

Hugging Face spaces allow us to run models with very simple demos, but what if the demo breaks? Or if the user deletes it? That's why I've created docker containers with some interesting spaces, to be able to use them locally, whatever happens. In fact, if you click on any project view button, it may take you to a space that doesn't work.

Flow edit

Flow edit Flow edit

FLUX.1-RealismLora

FLUX.1-RealismLora FLUX.1-RealismLora
View all containers -->

Do you want to apply AI in your project? Contact me!

Do you want to train your model with these datasets?

short-jokes-dataset

Dataset with jokes in English

opus100

Dataset with translations from English to Spanish

netflix_titles

Dataset with Netflix movies and series

View more datasets -->