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  • 2026-04-22 10:00
    A new app called Hermes Desktop makes Hermes Agent easier to use for people who do not want to stay in the terminal. If you have been looking for a cleaner way to install and use an agent on your own machine, this sits in the same wider conversation as how people run AI locally with lighter setup friction. This is not an official Nous Research desktop app. Hermes Desktop is a separate open-source project created by GitHub user fathah. It sits on top of Hermes Agent and gives it a native interface for setup, chat, and day-to-day management. It is a third-party desktop companion for Hermes Agent, not the upstream project itself. What Is Hermes Desktop? Hermes Desktop is a native app for installing, configuring, and chatting with Hermes Agent without doing everything by hand from the command line. According to the project's GitHub repo, it uses the official Hermes install script, stores Hermes under ~/.hermes , and provides screens for chat, sessions, profiles, memory, skills, tools, schedules, and messaging gateways. That makes it less of a simple wrapper and more of a desktop control panel for Hermes. What Can the App Do? Based on the repo and release notes, Hermes Desktop already goes well beyond a basic chat ..
  • 2026-04-12 13:00
    The open-source AI agent space got crowded fast in 2026, but two names kept showing up in the same conversations: OpenClaw and Hermes Agent . At first glance, they look like direct rivals. They're both open-source. They both run on your own hardware or a cheap VPS. They both promise a more useful kind of AI assistant than the usual chatbox. But after spending time with both, I don't think the real question is which one kills the other . That framing is lazy. The better question is this: what job do you want the agent to do? Because OpenClaw and Hermes Agent are built around different ideas. OpenClaw feels like a capable runtime for getting things done across apps, channels, and workflows. Hermes feels more like an agent that is trying to become better at being itself. That difference matters. The Short Version If you want a practical assistant that can live in Telegram, WhatsApp, Discord, email, the browser, and your shell, OpenClaw makes a lot of sense . If you want an agent with stronger memory, a built-in self-improvement loop, and a setup that invites experimentation with lots of models, Hermes Agent is the more interesting bet . And if you're deep enough into this space to care about both orchestration and ..
  • 2026-04-11 00:00
    Whenever a new technology shows up, the conversation quickly splits into camps. There are the people who reject it outright, and there are the people who seem to adopt it with religious enthusiasm. For more than a year now, no topic has been more polarising than AI coding agents. What I keep noticing is that a lot of the criticism directed at these tools is perfectly legitimate, but it often comes from people without a meaningful amount of direct experience with them. They are not necessarily wrong. In fact, many of them cite studies, polls and all kinds of sources that themselves spent time investigating and surveying. And quite legitimately they identified real issues: the output can be bad, the security implications are scary, the economics are strange and potentially unsustainable, there is an environmental impact, the social consequences are unclear, and the hype is exhausting. But there is something important missing from that criticism when it comes from a position of non-use: it is too abstract. There is a difference between saying "this looks flawed in principle" and saying "I used this enough to understand where it breaks, where it helps, and how it changes my work." The second type of criticism is expensive. It costs ..
  • 2026-04-10 13:00
    If you make product demos, tutorials, walkthroughs, or short social clips, there's a good chance you've looked at Screen Studio before. And for good reason. It's one of the nicest screen recording tools around if you care about presentation. You record your screen, and it handles a lot of the polish for you: cursor-following zooms, smooth motion, clean framing, and a result that looks far better than a raw screen capture usually has any right to. The problem, of course, is that it's not free. If you only make polished demos once in a while, another subscription can feel a bit ridiculous. That's exactly where OpenScreen comes into play. It aims at the same kind of workflow, but it's free, open source, and available across macOS, Windows, and Linux. That alone makes it worth a look. What Is OpenScreen? OpenScreen is an open-source desktop app built for turning ordinary screen recordings into cleaner, more watchable demos. It is positioned very clearly as an alternative to Screen Studio, and the overlap is obvious the moment you look at it. You can record your screen or a specific window, then refine the result with zooms, cursor effects, backgrounds, annotations, and timeline-based edits. In other words, it is not just ..
  • 2026-04-07 13:00
    If you have been watching the AI coding tool space, you know the story by now. OpenAI put Codex into ChatGPT. Anthropic shipped Claude Code . Both will write your code, debug your mess, refactor your spaghetti, and run agentic tasks while you grab coffee. But they price differently. And usage limits? That is where it gets interesting, and where a lot of comparisons fall apart. I spent time with both. Here is what I found. Pricing Both start at $20/month. That is where the similarity ends. Plan OpenAI Codex Cost Claude Code Cost Base ChatGPT Plus $20 Claude Pro $20 Mid ChatGPT Pro $200 Claude Max 5x $100 Heavy None – Claude Max 20x $200 Teams ChatGPT Business ~$25-30/user Claude Team Custom Prices updated at time of writing. A few things worth noting: Codex has no standalone pricing. It is bundled into ChatGPT plans. If you want it, you are on Plus ($20) or Pro ($200). Claude Code has a sweet mid-tier at $100. The Max 5x plan is genuinely compelling for power users who do not want to jump to $200. OpenAI also has a lighter ChatGPT Go tier around $8/month, casual users only, and Codex access is reduced there. On paper, $20 gets you ..
  • 2026-02-28 07:39
    In my previous post I walked through deploying an AI-generated Educates workshop on a local Kubernetes cluster. The workshop was up and running, accessible through the training portal, and ready to be used. But having a workshop that runs is only the first step. The next question is whether it's actually any good. Workshop review is traditionally a manual process. You open the workshop in a browser, click through each page, read the instructions, run the commands, check that everything works, and make notes on what could be improved. It's time-consuming and somewhat tedious, especially when you're the person who wrote the workshop in the first place and already know what it's supposed to do. Even this task, though, is one where AI can help. Reviewing the source vs the experience One option would be to point Claude at the workshop source files directly. Hand it the Markdown content and the YAML configuration and ask it to review the material. This works to a degree, but it only checks the content in isolation. It doesn't tell you anything about how the workshop actually feels when someone uses it. The real test of a workshop is the experience of navigating it as a learner. How do the instructions read when you're looking at ..
  • 2026-02-03 06:41
    Last year we relocated to Metro Manila , Philippines for the foreseeable future. Audrey 's mother is from here, and we wanted our daughter Uma to have the opportunity to spend time with her extended family and experience another line of her heritage. Where are you living? In Makati , a city that contains one of the major business districts in Metro Manila. Specifically we're in Salcedo village, a neighboorhood in the CBD , made of towering residential and business buildings with numerous shops, markets, and a few parks. This area allows for a walkable life, which is important to us coming from London. What about the USA? The USA is our homeland and we're US citizens. We still have family and friends there. We're hoping to visit the US at least once a year. What about the UK? We loved living in London, and have many good friends there. I really enjoyed working for Kraken Tech , but my time came to an end there so our visas were no longer valid. We hope to visit the UK (and the rest of Europe) as tourists, but without the family connection it's harder to justify than trips to the homeland. What about your daughter? Uma loves Manila and is in second grade at an international school here in walking distance of our residence. ..
  • 2025-12-17 00:00
    I've mentioned this a few times now, but when I started using Claude it was because Peter got me hooked on it. From the very beginning I became a religious user of what is colloquially called YOLO mode, which basically gives the agent all the permissions so I can just watch it do its stuff. One consequence of YOLO mode though is that it didn't work well together with the plan mode that Claude Code had. In the beginning it didn't inherit all the tool permissions, so in plan mode it actually asked for approval all the time. I found this annoying and as a result I never really used plan mode. Since I haven't been using it, I ended up with other approaches. I've talked about this before, but it's a version of iterating together with the agent on creating a form of handoff in the form of a markdown file. My approach has been getting the agent to ask me clarifying questions, taking these questions into an editor, answering them, and then doing a bunch of iterations until I'm decently happy with the end result. That has been my approach and I thought that this was pretty popular these days. For instance Mario's pi which I also use, does not have a plan mode and Amp is removing theirs . However today I had two interesting conversations ..
  • 2025-12-02 12:50
    Ubuntu Pro for WSL provides turnkey security maintenance and enterprise support for Ubuntu 24.04 LTS WSL instances in Windows. The subscription will also enable comprehensive management for system administrators.  Today, Canonical announced the general availability of Ubuntu Pro for WSL which can be installed from the Microsoft Store. Source and beta releases are also on GitHub . Canonical and Microsoft have a fantastic partnership, building out the WSL experience. This work will benefit enterprise developers who use WSL to build production Linux solutions. Craig Loewen, Product Manager for WSL at Microsoft Ubuntu Pro delivers enterprise-grade security maintenance and support across desktops, servers, and IoT devices. Now, that same proven value proposition comes to WSL, addressing the security and compliance needs of IT managers and paving the way for broader enterprise adoption. Power to developers, peace of mind for IT teams WSL provides developers, system administrators, and power users with a native Linux experience on Windows, without the overhead of a full virtual machine or dual boot. It allows users to run Linux command-line tools, utilities, and graphical Linux applications directly on Windows. In collaboration ..
  • 2025-12-01 09:02
    We have extended our webhooks capabilities to be able to trigger webhooks on successful and unsuccessful package uploads to Personal Package Archives (PPAs). When a new source package is uploaded to one of your PPAs, the system can now send an instant webhook notification to an endpoint you control. This will make it easier to build automations around package uploads and binary package builds in your PPAs. The webhook configuration includes scopes so you can configure to only trigger on successful use cases, or vice versa. Each webhook payload includes essential metadata about the upload – more details in the Webhooks page of our user documentation. To try it out, you can add a webhook to your archive via the API ( API reference ), or via the UI by going to “Manage Webhooks” in your archive's page. If you have ideas or feedback, reach out to us!
  • 2025-11-22 00:00
    The more I work with large language models through provider-exposed APIs, the more I feel like we have built ourselves into quite an unfortunate API surface area. It might not actually be the right abstraction for what's happening under the hood. The way I like to think about this problem now is that it's actually a distributed state synchronization problem. At its core, a large language model takes text, tokenizes it into numbers, and feeds those tokens through a stack of matrix multiplications and attention layers on the GPU. Using a large set of fixed weights, it produces activations and predicts the next token. If it weren't for temperature (randomization), you could think of it having the potential of being a much more deterministic system, at least in principle. As far as the core model is concerned, there's no magical distinction between "user text" and "assistant text"everything is just tokens. The only difference comes from special tokens and formatting that encode roles (system, user, assistant, tool), injected into the stream via the prompt template. You can look at the system prompt templates on Ollama for the different models to get an idea. The Basic Agent State Let's ignore for a second which APIs already exist ..
  • 2025-10-27 08:00
    How Anbox Cloud streamlines localization testing Wherever users are based, they expect apps to just work, whether in Japanese, Arabic, or Spanish. But anyone who's touched localization knows it's more than translation. Real quality comes from testing how your app behaves across languages, layouts, and regions – and doing it fast. If you're shipping apps for automotive or gaming, localization gets complex fast. It's never just about translation: you're adapting to different layouts, alphabet types, interaction models, and hardware quirks. You're aiming for pixel-perfect across every region, while teams are spread across time zones and builds keep coming. Anbox Cloud cuts through all of that: enabling real-time, browser-based localization testing at scale. No APK sharing. No device juggling. Enabling you to localize at speed, and at scale. A consistent experience, everywhere Let's examine a common use case: an automotive Tier 1 supplier building in-vehicle Infotainment (IVI) apps for multiple original equipment manufacturers (OEMs). One app, many markets. Each with different languages, reading directions, and screen resolutions. The traditional approach to testing means emailing builds to local quality assurance (QA) teams, ..
  • 2025-10-09 01:06
    The Xubuntu team is happy to announce the immediate release of Xubuntu 25.10. Xubuntu 25.10, codenamed Questing Quokka , is a regular release and will be supported for 9 months, until July 2026. Xubuntu 25.10, featuring the latest updates from Xfce 4.20 and GNOME 49. Xubuntu 25.10 features the latest Xfce 4.20 and GNOME 49 updates. Xfce 4.20 updates feature stability improvements and enhanced Wayland support, for those adventurous enough to use it. GNOME 49 apps have received further polish and are well-suited for Xubuntu. MATE 1.26 apps are still included to round out Xubuntu's office suite. The final release images for Xubuntu Desktop and Xubuntu Minimal are available as torrents and direct downloads from xubuntu.org/download/ . As the main server might be busy the first few days after the release, we recommend using the torrents if possible. We want to thank everybody who contributed to this release of Xubuntu! Highlights and Known Issues Highlights Xfce 4.20 components have received several stability improvements. Minor integration issues persist in Xubuntu 25.10 and will be addressed for 26.04, scheduled for release in April. GNOME 49 apps are further refined with new features and usability improvements. Known ..
  • 2025-10-08 16:31
    Oracle Kubernetes Engine now supports Ubuntu images for worker nodes natively, with no need for custom images 8 October 2025 – Today Canonical, the publisher of Ubuntu, announced that Ubuntu worker nodes for Oracle Kubernetes Engine (OKE) are now available in Limited Availability. This means that OKE now supports Ubuntu images for worker nodes natively, with no need for custom images. You can find more detail on how to start using these in our documentation . While applications on Kubernetes run within containers, the underlying operating system and kernel of the worker node still plays a critical role in performance, security, and management. Ubuntu provides a stable, widely-supported and securely-designed host environment that can optimize resource utilization for your Kubernetes workloads. Ubuntu's familiar tooling also simplifies debugging, maintenance, and integration with existing infrastructure across all the major public clouds, offering a consistent and reliable foundation for your containerized applications.  With the availability of Ubuntu worker nodes on OKE, developers can now enjoy a consistent Ubuntu experience across worker nodes on the managed Kubernetes offerings of Amazon AWS , Google Cloud Platform , IBM Cloud ..
  • 2025-10-03 19:50
    Django allauth Django allauth is a popular third party package that provides a lot of functionality for handling user authentication, with support for social authentication, email verification, multi-factor authentication, and more. It is a powerful library that greatly expands the built-in Django authentication system. It comes with its own basic forms and models for user registration, login, logout, and password management. I like using it because often I just wanted to get a new Django project up and running quickly without having to write up all the authentication-related views, forms, and templates myself. I’m using django-allauth in PyLadiesCon Portal , and in my personal project Secret Codes .
  • 2025-09-15 20:30
    Python's asyncio.gather function is great for I/O bound parallel processing. There's a simple utility function I like to use that I call gather_in_batches : async def gather_in_batches(tasks, batch_size=100, return_exceptions=False): for i in range(0, len(tasks), batch_size): batch = tasks :i+batch_size] for result in await asyncio.gather(*batch, return_exceptions=return_exceptions): yield result The way you use it is Generate a list of tasks Gather your results Here's some simple sample code to demonstrate: tasks = (obj) for obj in objects] return async for result in gather_in_batches(tasks)] objects could be all sorts of things: records from a database urls to scrape filenames to read And process_async is an async function that would just do whatever processing you need to do on that object. Assuming it is mostly I/O bound, then this is very simple and effective method to process data in parallel, without getting into threads, multi-processing, greenlets, or any other method. You'll need to experiment to figure out what the optimal batch_size is for your use case. And unless you don't care about errors, you should set return_exceptions=True , then check if isinstance(result, Exception) to do proper ..
  • 2025-08-19 19:08
    If you have ever found yourself rewriting the last line of a notebook cell repeatedly just to get an overview of your data, you're not alone. In VS Code the default output for Pandas DataFrames is a static, truncated HTML table and it often fails to answer essential questions, such as: Do we have rogue blank values somewhere we did not expect? Do the columns we plan on using as keys really contain unique values? Are the data types what I expect them to be? How many times does a specific value show up in the results? What are the last 10 items in this 30k items list? Check out how Data Wrangler integrates seamlessly with notebooks in VS Code to enable you to answer these questions quickly and easily, with just a few clicks. Seamless integration with notebooks The new experience seamlessly replaces the static HTML output for Pandas DataFrames, only where applicable, and without any additional actions. Just make sure the Data Wrangler extension is installed Column sorting and filtering There is no need to write code for sorting and filtering. You can just click around the interactive UI as you explore the data. Missing (blank) and distinct values are auto detected You can instantly know if a column contains ..