#typescript#agent#agentic_ai#agents#ai#ai_agents#ai_tools#anthropic#automation#bytebot#computer_use#computer_use_agent#cua#desktop#desktop_automation#docker#gemini#llm#mcp#openai
Bytebot is an open-source AI desktop agent that acts like a virtual employee with its own computer, able to use real applications, browse websites, handle passwords, and process documents automatically. You just describe tasks in plain English, and Bytebot completes them by clicking, typing, downloading files, organizing data, and running complex workflows across multiple programs. It runs locally on your own infrastructure, ensuring privacy and full control, and supports many AI models. This helps you save time by automating repetitive or complex tasks without scripting, improving efficiency and accuracy in business, research, or development work.
https://github.com/bytebot-ai/bytebot
Django Q on Windows
We're developing with Django Q and Mac OS and it runs on our Linux Servers. Now we hired external developers which work on Windows machines and we discovered that Django Q is not working on Windows due to missing fork implementation.
Does anyone use Django Q on Windows?
answer:
Use #Docker with local windows code directory mounted inside container,
run the docker container interactively and forward a port 8000 to host machine,
then run migrations, test server and other stuff inside the container.
https://github.com/4Catalyzer/pykubectl
A python bridge to kubectl providing additional functionalities useful for CD and #automation.
#machine_learning
🤖 Ever feel like Google takes forever to give you a straight answer?
Now with the new Gemini 2.5 model, Google has dropped a powerful new feature called AI Mode!
This super-smart mode gives you summarized, analytical, and accurate answers with source links — it’s like chatting directly with Google itself
🔍⚡️
🔥 Enabling this mode permanently is easier than you think:
1️⃣ Go to your browser settings
Settings → Search Engine → Manage Search Engines
2️⃣ Add a new option:
Name: Google AI Mode
URL: https://www.google.com/search?q=%s&udm=50
3️⃣ Click the three dots next to it → Set as default
✅ From now on, anything you search from the address bar will be powered by Google’s AI — fast, fun, and full of insights! 🧠✨
📱 On mobile? Just save this shortcut:
https://www.google.com/search?udm=50
and with one tap, you’re inside Google’s AI Mode 🚀
➖➖➖➖🔻
🧠 BOT: @Chatgpt_OfficialBOT
💎@Chatgpt_OfficialNews
#️⃣#AI#Gemini#Google
➖➖➖➖🔺
How do I find themes?
Android themes: You may use the app or search for: Telegram or Telegram X
The app has every theme divided by color/app (Telegram/Telegram X) and will always point you to the latest versiona of the selected theme.
—Sempiternal is missing because Google will probably send me a DMCA takedown because of the album cover—
Desktop themes: Use this telegraph page: https://telegra.ph/Amoled-Black-Theme-Hub-05-23 or search for #Desktop
More, unreleased, stuff: Beta testing group: https://t.me/joinchat/AwxPmUL72NOOJUIdfzXEVA
⚡️Google is sitting on a mountain of data and TPUs.
And it's finally paying off. Google has not only caught up, it is overtaking the competition. Admittedly: OpenAI has attracted attention with its image model. But Google should by no means be forgotten.
On the contrary: now that they have shown what they are capable of with their latest models and have also entered the field of robotics, I have high hopes that this will further intensify the competition.
➖➖➖➖🔻
💎@Chatgpt_OfficialNews – Stay Updated! ⚡️
🧠 BOT: @Chatgpt_OfficialBOT
#️⃣#OpenAI#AI#GPT#ChatGPT#Chatbot#GPT4O#Gemini#Google
➖➖➖➖🔺
https://gist.github.com/Yogendra0Sharma/5aa96ebfd0854623a5451c53672088d5
Guide on how to create and set up a Dockerized web app using #Django REST APIs and #React
#docker
http://robotframework.org/
#Robot#Framework is a generic test #automation framework for acceptance testing and acceptance test-driven development (ATDD). It has easy-to-use tabular test data syntax and it utilizes the keyword-driven testing approach. Its testing capabilities can be extended by test libraries implemented either with Python or Java, and users can create new higher-level keywords from existing ones using the same syntax that is used for creating test cases.
https://gist.github.com/genomics-geek/98929a9e7ba9602fed7bfa4a5a1c5c4e
Guide on how to create and set up a Dockerized web app using #Django_REST_APIs and #ReactJS
#Docker
Maid - Mobile Artificial Intelligence Distribution
Maid is a cross-platform free and an open-source application for interfacing with llama.cpp models locally, and remotely with Ollama, Mistral, Google Gemini and OpenAI models remotely.
-Choose from A wide range of models that runs LOCALLY and access remote models via api key!
-Text based output
-Image Generation (Selected Models only)
-No video or short clips generation yet
-Voice generation on selected models (Not tested)
-Setting model parameters
-Setting system prompt (Making the model behave/generate output in a certain way).
-And more.
Get it on
Github - https://github.com/Mobile-Artificial-Intelligence/maid/releases/latest
Fdroid - https://f-droid.org/packages/com.danemadsen.maid/
Spystore - https://play.google.com/store/apps/details?id=com.danemadsen.maid
*Don't clear CACHE OF THE APP AND EXCLUDE IT FROM SYSTEM'S AUTO CACHE CLEANING as app stores everything in device cache*
Follow @nogoolag and @libreware for more
#ai
Cherry Studio
Cherry Studio is a desktop client for Windows, Mac and Linux, which supports many LLM providers, including large cloud services and local models.
Among its main functions is the ability to work with more than 300 pre -designed #AI assistants, the creation of custom assistants, as well as support for various formats of documents, including text, images and office files.
The application offers tools for global search, top management and translating, which significantly improves interaction with the user thanks to the cross -platform and many settings options.
https://github.com/cherryhq/cherry-studio