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Running a full desktop environment in a microVM, and accessing it remotely over LAN (Omarchy, ping DHH and vaxry 😊) QVM now supports ultra low latency desktop streaming, for purposes such as VDI / Virtual Desktop Infrastructure, RBI / Remote Browser Isolation and agent sandboxes Supported host-OS:es and hypervisors... show more

Joel Eriksson

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Introducing Unsloth Desktop 🦥 The first desktop app to run and train models locally. • Open-source. Runs on Mac, Windows and Linux • Supports MLX, diffusion image/video, audio, GGUF • Connect Claude Code and Codex to local LLMs • 50% more accurate, self-healing tool calls + sandboxed code exec • Works for CPU + multiGPU setups - NVIDIA, AMD, Intel, Mac • Train models 2× faster with 70% less VRAM • Private web search, deep research, RAG, MCP and exports (NVFP4, GGUF) • Use Unsloth’s OpenAI-compatible API and cloud models • Securely deploy LLMs remotely and access anywhere Unsloth Desktop is now available on and GitHub. GitHub: Blog and Guide:

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Unsloth AI

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SPECEXAI 🚨: Grok Build, xAI's new coding desktop app, is being prepared for release on macOS, Windows, and Linux! > It will support planning mode, Plugins, Skills, and MCPs. > Will be able to work with the Git tree, spawn dev servers, and work with a built-in browser. SOON!? 👀

SPECEXAI 🚨: Grok Build, xAI's new coding desktop app, is being prepared for release on macOS, Windows, and Linux! > It will support planning mode, Plugins, Skills, and MCPs. > Will be able to work with the Git tree, spawn dev servers, and work with a built-in browser. SOON!? 👀

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HERMES AGENT JUST LAUNCHED A NATIVE DESKTOP APP. macOS. WINDOWS. LINUX. DOWNLOAD, OPEN, START. Hermes Desktop is now in public preview. first demoed at Jensen's GTC keynote. native app with: → side-by-side preview pane → built-in file browser → integrated voice and TTS → image generation built in → multi-model reasoning → same data directory as CLI → switch between Desktop and CLI anytime what your agent can do from the app: → persistent memory across sessions → natural-language cron jobs → isolated subagents with zero-context-cost → browser automation and web search → 27+ messaging platforms from one gateway → 5 sandbox backends with container hardening (local, Docker, SSH, Singularity, Modal) open source. MIT license. v0.15.2. download link in the comments. full Hermes setup guide in the article 👇

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HeyOz

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GeoLibre v0.9.0 is out. GeoLibre is a lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data across desktop and web environments, with a responsive layout for mobile screens. This release turns GeoLibre into a far more complete analysis environment. Highlights: - New cloud data panels for Microsoft Planetary Computer and Google Earth Engine, plus an Overture Maps plugin and federal Web Services plugins, including NASA Earthdata, USGS National Map, EPA EnviroAtlas, FEMA NFHL - Accessing 1000+ NASA Earthdata layers with a few simple clicks - Time Slider plugin for animating time series raster and vector data - SQL Workspace: run DuckDB Spatial SQL directly against loaded layers, local files, and remote URLs, with query history and one-click "add results to map" - Conversion tools: Vector to GeoParquet, CSV to GeoParquet, and Raster to COG, running in the browser with DuckDB-WASM - Controls menu with Measure, Bookmark, Minimap, View State, and Print Everything is open source. Try it in your browser, install the desktop app, or self-host it. Live demo: GitHub: Feedback and contributions are welcome. #GIS #Geospatial #OpenSource #MapLibre #DuckDB #WebGIS #GeoLibre

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This is a very nice description of the problem. I think the first part of the solution is to not give into the hyper productivity hype: running a gazillion things in parallel. There's likely only a handful of humans that have the mental make-up to survive the permanent context switches. You can train your brain to become better at it, but there's a limit to that, and I found that it will lead to much worse outcomes in terms of output quality of both you and your clanker. I'm no neuroscientist, but I would assume there's a hard limit on how many things your brain can juggle at a time, probably made worse by the complexity that is code. I generally don't do more than 2-3 things in parallel. I use virtual desktops as "bundle of things that belong to a task", so terminals + editor + browser. Works fine, doesn't need any special OS support, expose on the virtual desktop let's me quickly switch to the task specific app I need. I also have a little pi extension that shows me what GH issue/PR the clanker session is about, with a link I can click to open the issue/PR in the browser. Plus 1 virtual desktop for entertainment, so the brain can get some rest. (better alternative: get up and walk a bit every 45 minutes) Video: - First desktop: pi session for a PR, extension shows me what PR I work on, can click to open in browser, aux terminal for random BS, editor, browser. Yes, I could split instead of having two terminal windows. I'm old. - Second desktop: clawdbot pi session, aux terminal for testing, editor, browser - Third desktop: entertainment booth

This is a very nice description of the problem. I think the first part of the solution is to not give into the hyper productivity hype: running a gazillion things in parallel. There's likely only a handful of humans that have the mental make-up to survive the permanent context switches. You can train your brain to become better at it, but there's a limit to that, and I found that it will lead to much worse outcomes in terms of output quality of both you and your clanker. I'm no neuroscientist, but I would assume there's a hard limit on how many things your brain can juggle at a time, probably made worse by the complexity that is code. I generally don't do more than 2-3 things in parallel. I use virtual desktops as "bundle of things that belong to a task", so terminals + editor + browser. Works fine, doesn't need any special OS support, expose on the virtual desktop let's me quickly switch to the task specific app I need. I also have a little pi extension that shows me what GH issue/PR the clanker session is about, with a link I can click to open the issue/PR in the browser. Plus 1 virtual desktop for entertainment, so the brain can get some rest. (better alternative: get up and walk a bit every 45 minutes) Video: - First desktop: pi session for a PR, extension shows me what PR I work on, can click to open in browser, aux terminal for random BS, editor, browser. Yes, I could split instead of having two terminal windows. I'm old. - Second desktop: clawdbot pi session, aux terminal for testing, editor, browser - Third desktop: entertainment booth

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GeoLibre v0.5.0 is out! This update significantly expands data format support, making it easier to work with a wide range of geospatial datasets in a lightweight, modern GIS environment. Newly supported formats and services include: GeoJSON, Shapefile, GeoPackage, GeoParquet, KML/KMZ, FlatGeobuf, PMTiles MBTiles, GeoTIFF, Zarr, LiDAR point clouds, Gaussian Splatting, and ArcGIS services. GeoLibre is a lightweight, cloud-native GIS built with MapLibre and Tauri. It runs directly in the browser and is also available as a standalone cross-platform desktop application at only ~30 MB. GitHub: Website: Live demo: Feedback, ideas, and contributions are welcome. #geospatial #opensource #maplibre

GeoLibre v0.5.0 is out! This update significantly expands data format support, making it easier to work with a wide range of geospatial datasets in a lightweight, modern GIS environment. Newly supported formats and services include: GeoJSON, Shapefile, GeoPackage, GeoParquet, KML/KMZ, FlatGeobuf, PMTiles MBTiles, GeoTIFF, Zarr, LiDAR point clouds, Gaussian Splatting, and ArcGIS services. GeoLibre is a lightweight, cloud-native GIS built with MapLibre and Tauri. It runs directly in the browser and is also available as a standalone cross-platform desktop application at only ~30 MB. GitHub: Website: Live demo: Feedback, ideas, and contributions are welcome. #geospatial #opensource #maplibre

Qiusheng Wu

19,106 görüntüleme • 2 ay önce

I tested Rust vs Javascript for games 🎮 I had this question recently and decided to port my Three.js game to Rust Desktop I'm still not able to reproduce the same look on both games but I believe that codewise they are very similar With both games running, the Rust version averages 37FPS while the Three.js version averages around 20FPS If I'm running one game at a time the FPS goes up considerably (60 FPS on both with power on) So the Rust version for Desktop has 85% increase in performance on my Macbook Pro M4 This comparision is basically comparing Browser vs Native, which is not completely fair So that's why I want to port the Rust version to WASM on the browser and benchmark again soon

I tested Rust vs Javascript for games 🎮 I had this question recently and decided to port my Three.js game to Rust Desktop I'm still not able to reproduce the same look on both games but I believe that codewise they are very similar With both games running, the Rust version averages 37FPS while the Three.js version averages around 20FPS If I'm running one game at a time the FPS goes up considerably (60 FPS on both with power on) So the Rust version for Desktop has 85% increase in performance on my Macbook Pro M4 This comparision is basically comparing Browser vs Native, which is not completely fair So that's why I want to port the Rust version to WASM on the browser and benchmark again soon

André → andreelias.dev

93,523 görüntüleme • 2 ay önce

Basic native desktop UI integration on Linux (file pickers etc.), + "immediate-mode program installation". It is important to me that distribution of RAD Debugger binaries is as simple as possible, so I keep everything packaged as a single standalone executable. But some systems, like the default Ubuntu environment, require extra files in order to "install" an application (e.g. so that they show up when searching in the program launcher, or to show their icons in the desktop environment UIs). Other similar "installation" steps exist on Windows, for example. Installation and uninstallation has always felt to me like a bunch of unnecessary work, which is why on Windows, people package "installers" and "uninstallers" as extra utilities, which wrangle all of the extra crap that a program needs to be "installed". But the important thing to the user is, obviously, just a single boolean: is the program "installed", or is it not? So it seemed to me that the simplest way to offer this functionality was to expose a checkbox as a regular program setting, found in the regular program UI. When it is checked, RADDBG ensures all of the appropriate configuration files are written. When it is unchecked, it ensures all of those files are deleted. Thus, you just get the single binary, run it, and optionally check the box if you want extra integration into your desktop environment.

Basic native desktop UI integration on Linux (file pickers etc.), + "immediate-mode program installation". It is important to me that distribution of RAD Debugger binaries is as simple as possible, so I keep everything packaged as a single standalone executable. But some systems, like the default Ubuntu environment, require extra files in order to "install" an application (e.g. so that they show up when searching in the program launcher, or to show their icons in the desktop environment UIs). Other similar "installation" steps exist on Windows, for example. Installation and uninstallation has always felt to me like a bunch of unnecessary work, which is why on Windows, people package "installers" and "uninstallers" as extra utilities, which wrangle all of the extra crap that a program needs to be "installed". But the important thing to the user is, obviously, just a single boolean: is the program "installed", or is it not? So it seemed to me that the simplest way to offer this functionality was to expose a checkbox as a regular program setting, found in the regular program UI. When it is checked, RADDBG ensures all of the appropriate configuration files are written. When it is unchecked, it ensures all of those files are deleted. Thus, you just get the single binary, run it, and optionally check the box if you want extra integration into your desktop environment.

Ryan Fleury

84,760 görüntüleme • 15 gün önce

This is Scene Editor. Running on Flutter 3.47 stable. Flutter is excellent for building serious 3D desktop apps. Powered entirely by Flutter's built-in graphics stack, Flutter GPU and Impeller. No forks, no platform views, no external rendering contexts. Scene Editor is just a vanilla Flutter application. Build 3D apps for macOS, Linux, Windows, iOS, Android, Web, and custom embedders. Non-destructive importing, overrides on nested prefabs, live material and shader editing, custom gizmos, and component inspectors you define with property annotations. It watches the filesystem, and custom components you write become instantly available in the editor upon saving. Configure, build, and run your live app without leaving it. Flutter is now 3D.

This is Scene Editor. Running on Flutter 3.47 stable. Flutter is excellent for building serious 3D desktop apps. Powered entirely by Flutter's built-in graphics stack, Flutter GPU and Impeller. No forks, no platform views, no external rendering contexts. Scene Editor is just a vanilla Flutter application. Build 3D apps for macOS, Linux, Windows, iOS, Android, Web, and custom embedders. Non-destructive importing, overrides on nested prefabs, live material and shader editing, custom gizmos, and component inspectors you define with property annotations. It watches the filesystem, and custom components you write become instantly available in the editor upon saving. Configure, build, and run your live app without leaving it. Flutter is now 3D.

Brandon DeRosier

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ANTHROPIC 🔥: Early look at Claude Science, a new app designed for scientific research. > "Artifacts traced to their code, environments managed on demand, and 60+ optional scientific databases that you can connect." Claude Science was named "Operon" during development and is now being distributed as a desktop app. Interestingly, the app acts as a local web server, and its UI runs in your browser. Some unique features include the ability to create dedicated "Categories" in Memory and custom agents called "Specialists". We need this on consumer version too 👀

ANTHROPIC 🔥: Early look at Claude Science, a new app designed for scientific research. > "Artifacts traced to their code, environments managed on demand, and 60+ optional scientific databases that you can connect." Claude Science was named "Operon" during development and is now being distributed as a desktop app. Interestingly, the app acts as a local web server, and its UI runs in your browser. Some unique features include the ability to create dedicated "Categories" in Memory and custom agents called "Specialists". We need this on consumer version too 👀

🚨 AI News | TestingCatalog

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QVAC SDK 0.13.0 is live, and this version brings a lot of exciting updates! Local AI now plugs into your coding agent, ships as a desktop app in one command, and runs even more models. Highlights: NEW INTEGRATIONS - OpenCode and coding agents: the new @qvac/ai-sdk-provider makes QVAC a local provider. Less setup, same-model requests queue cleanly, and managed mode starts and supervises qvac serve for you. - Broader OpenAI-compatible API, validated across supported flows so covered capabilities stay consistent and testable. - Turn your QVAC project into a real desktop app for Mac, Windows, or Linux with a single command. The new Electron plugin handles the packaging and keeps the app small by including only what it needs. NEW MODELS - New pi0.5 model support - run a vision-language "robot brain" on a single ordinary graphics card, at full accuracy. - Image-to-video, fully local, via the Wan2.1 model in the Diffusion addon. - New BCI add-on: brain-computer interface transcription, fully local. Decode recorded neural signals into text on-device via the Whisper.cpp-based BCI model. IMPROVEMENTS - Whisper GPU transcription on Android, auto-picking the best backend (OpenCL on Adreno 700+, Vulkan elsewhere), unified on one ggml engine. - Parakeet steadier on mobile, with real end-of-utterance detection for streaming. - Supertonic TTS now runs full GPU across Metal, Vulkan, and OpenCL, with native streaming.

QVAC SDK 0.13.0 is live, and this version brings a lot of exciting updates! Local AI now plugs into your coding agent, ships as a desktop app in one command, and runs even more models. Highlights: NEW INTEGRATIONS - OpenCode and coding agents: the new @qvac/ai-sdk-provider makes QVAC a local provider. Less setup, same-model requests queue cleanly, and managed mode starts and supervises qvac serve for you. - Broader OpenAI-compatible API, validated across supported flows so covered capabilities stay consistent and testable. - Turn your QVAC project into a real desktop app for Mac, Windows, or Linux with a single command. The new Electron plugin handles the packaging and keeps the app small by including only what it needs. NEW MODELS - New pi0.5 model support - run a vision-language "robot brain" on a single ordinary graphics card, at full accuracy. - Image-to-video, fully local, via the Wan2.1 model in the Diffusion addon. - New BCI add-on: brain-computer interface transcription, fully local. Decode recorded neural signals into text on-device via the Whisper.cpp-based BCI model. IMPROVEMENTS - Whisper GPU transcription on Android, auto-picking the best backend (OpenCL on Adreno 700+, Vulkan elsewhere), unified on one ggml engine. - Parakeet steadier on mobile, with real end-of-utterance detection for streaming. - Supertonic TTS now runs full GPU across Metal, Vulkan, and OpenCL, with native streaming.

QVAC

20,931,912 görüntüleme • 2 ay önce

BREAKING: OpenAI has officially released Agent Mode, allowing users to spin up a virtual desktop and take action. I got early access to ChatGPT Agent Mode and want to share my thoughts. Agent Mode lets you delegate tasks like searching or browsing to an agent inside a virtual desktop inside ChatGPT. You can spin up multiple little “workers” to fire off tasks and keep tabs as they chug through your to-do list AT THE SAME TIME. If it gets stuck or goes off track, you can take over manually. The UI is friendly and keeps the reasoning transparent, so you’re not left guessing what it’s doing or why. It’s not perfect and doesn’t give you as many artifacts as other players in the space, but a strong platform for “let’s see how much I can hand off and supervise”, and a first step toward managing fleets of AI workers instead of pinging a single chatbot for answers. If you’re on ChatGPT Pro, Plus, or Team, look for Agent Mode in the tools dropdown.

BREAKING: OpenAI has officially released Agent Mode, allowing users to spin up a virtual desktop and take action. I got early access to ChatGPT Agent Mode and want to share my thoughts. Agent Mode lets you delegate tasks like searching or browsing to an agent inside a virtual desktop inside ChatGPT. You can spin up multiple little “workers” to fire off tasks and keep tabs as they chug through your to-do list AT THE SAME TIME. If it gets stuck or goes off track, you can take over manually. The UI is friendly and keeps the reasoning transparent, so you’re not left guessing what it’s doing or why. It’s not perfect and doesn’t give you as many artifacts as other players in the space, but a strong platform for “let’s see how much I can hand off and supervise”, and a first step toward managing fleets of AI workers instead of pinging a single chatbot for answers. If you’re on ChatGPT Pro, Plus, or Team, look for Agent Mode in the tools dropdown.

Allie K. Miller

155,943 görüntüleme • 1 yıl önce

Vysor kept annoying me with ads and paywalls just to mirror my Android screen, so I built my own. Introducing Another: a free, open-source app for mirroring and controlling your Android phone from your desktop. The thing is insanely fast. Near-zero latency screen mirroring over USB. It feels like your phone screen is native to your computer. No lag, no frame drops, just raw performance. 🚀 Built with Tauri, React, and Rust. Uses scrcpy under the hood, which streams your phone's display as raw H.264 over ADB. No cloud, no relay servers, everything stays local. macOS available now. Windows and Linux experimental.

Vysor kept annoying me with ads and paywalls just to mirror my Android screen, so I built my own. Introducing Another: a free, open-source app for mirroring and controlling your Android phone from your desktop. The thing is insanely fast. Near-zero latency screen mirroring over USB. It feels like your phone screen is native to your computer. No lag, no frame drops, just raw performance. 🚀 Built with Tauri, React, and Rust. Uses scrcpy under the hood, which streams your phone's display as raw H.264 over ADB. No cloud, no relay servers, everything stays local. macOS available now. Windows and Linux experimental.

Chizi

92,404 görüntüleme • 4 ay önce

Introducing Workshop: cloud + on-device agentic AI. And to celebrate, we're giving away $250k in Google Gemini AI credits. (details below). The future of AI work is neither cloud-based nor local. It's both. In Workshop Cloud, you can use agents powered by frontier models like Claude and/or open source models like Z.ai's GLM-5 to build internal tools, dashboards, and AI web apps. Or, breeze through tasks like managing your Google and Meta Ads. In Workshop Desktop, you can do all the same right on your computer, plus make desktop apps, mobile apps, and 3D creations. Our favorite part? You can power the full agent experience with local models like Qwen 3.5 family on your computer. Fully offline. 2026 is the year in which local models for agentic tasks will become viable for mainstream use. But the setup for tools like OpenClaw is like setting up Linux from scratch on your computer. Workshop Desktop is one-click to install on Windows, Mac, and Linux. It recommends which open source model you should use for your hardware and lets you download and run it right in the app. And its agent harness allows you to chat, create websites, build personal utilities, and analyze data. 100% offline. Or multitask with AI models in the cloud while running other agent threads locally. Start in Workshop Cloud when you want flexibility and speed. Download your project and continue in Workshop Desktop when you want local files, privacy, and/or better performance on large code bases. Publish from either. The agent tooling space is maturing and discerning users have come to expect a lot from their tools. We've packed Workshop with features to help you 10x your productivity. - Native support for skills - Autocompaction for seamless context management - Built-in AI for your apps - Dozens of connectors, like Google Drive, Big Query, and Supabase - dbt integration to ground your dashboards in your semantic layer - Native Github integration - Private app deployment - ... and more (+ we're shipping super fast) To access the free credit offer, RT this post and reply with "Workshop". Make sure you are following us so we can DM you the instructions to redeem. - First 100 to RT + comment get $500 in credits. - Everyone else gets up to $250 And thanks to our partners Modal, Google Gemini, and Z.ai!

Introducing Workshop: cloud + on-device agentic AI. And to celebrate, we're giving away $250k in Google Gemini AI credits. (details below). The future of AI work is neither cloud-based nor local. It's both. In Workshop Cloud, you can use agents powered by frontier models like Claude and/or open source models like Z.ai's GLM-5 to build internal tools, dashboards, and AI web apps. Or, breeze through tasks like managing your Google and Meta Ads. In Workshop Desktop, you can do all the same right on your computer, plus make desktop apps, mobile apps, and 3D creations. Our favorite part? You can power the full agent experience with local models like Qwen 3.5 family on your computer. Fully offline. 2026 is the year in which local models for agentic tasks will become viable for mainstream use. But the setup for tools like OpenClaw is like setting up Linux from scratch on your computer. Workshop Desktop is one-click to install on Windows, Mac, and Linux. It recommends which open source model you should use for your hardware and lets you download and run it right in the app. And its agent harness allows you to chat, create websites, build personal utilities, and analyze data. 100% offline. Or multitask with AI models in the cloud while running other agent threads locally. Start in Workshop Cloud when you want flexibility and speed. Download your project and continue in Workshop Desktop when you want local files, privacy, and/or better performance on large code bases. Publish from either. The agent tooling space is maturing and discerning users have come to expect a lot from their tools. We've packed Workshop with features to help you 10x your productivity. - Native support for skills - Autocompaction for seamless context management - Built-in AI for your apps - Dozens of connectors, like Google Drive, Big Query, and Supabase - dbt integration to ground your dashboards in your semantic layer - Native Github integration - Private app deployment - ... and more (+ we're shipping super fast) To access the free credit offer, RT this post and reply with "Workshop". Make sure you are following us so we can DM you the instructions to redeem. - First 100 to RT + comment get $500 in credits. - Everyone else gets up to $250 And thanks to our partners Modal, Google Gemini, and Z.ai!

Workshop AI

28,962 görüntüleme • 5 ay önce

This is Eliza The fastest, most powerful, most consumer friendly, most open source agent you’ve ever used Coming to iPhone, Android, browser, desktop and as a full operating system on funky devices like this one (LightPhone 3) You can get this from our GitHub right now, and in app stores everywhere very soon By the way, we’re raising and we’re looking for passionate builders who want to make sure the future is private, in our hands, open source and owned by us

This is Eliza The fastest, most powerful, most consumer friendly, most open source agent you’ve ever used Coming to iPhone, Android, browser, desktop and as a full operating system on funky devices like this one (LightPhone 3) You can get this from our GitHub right now, and in app stores everywhere very soon By the way, we’re raising and we’re looking for passionate builders who want to make sure the future is private, in our hands, open source and owned by us

Shaw (spirit/acc)

60,972 görüntüleme • 18 gün önce

HERMES DESKTOP APP JUST GOT A NEW ULTRA MODE FOR DEEPSEEK V4 PRO – AND IT COSTS ABOUT $1 A DAY TO RUN If you're using Hermes desktop app, you're probably already running DeepSeek – it's one of the top models available. The update: → DeepSeek V4 Pro now has thinking mode, fast mode, and a brand new ultra mode → There's also an extra high mode, but the real upgrade is ultra The actual cost: roughly $1/day for a normal workflow. That's about $20-25/month – basically the same as before, just with a significantly faster mode unlocked. The verdict after a full day of testing: it flies through tool calling. Noticeably faster, same price range. If you're already paying for DeepSeek through Hermes, this is a free upgrade sitting in your settings right now. Update Hermes, grab the DeepSeek API if you don't have it yet, and try V4 Pro on ultra. Bookmark this, you'll want to come back to it later.

SCOTTY BEAM

24,032 görüntüleme • 1 ay önce

Holy CRAP! jnmartin gave me access to his private Sonic R decompilation repo, which will serve as the basis for the Sega Dreamcast port. I was able to build Sonic R NATIVELY for my x86_64 desktop, running Ubuntu 24.04, and immediately begin playing after just typing "make" and then passing the binary the location of my ripped (yet legally purchased) PC assets. ...but while he's at it, jnmartin has decided to make the base decompilation codebase platform-independent, so this should theoretically work on any platform that supports SDL2 and very basic OpenGL--no shaders required--with very low system requirements. jnmartin already has it running fine on the latest MacOS version on Apple silicon, and now we can confirm it works fine on Debian Linux distros, no problem. Next up we'll test for Windows. Oh, and by the way, to everyone freaking out over the fact that the decomp is starting from the PC version and not the Saturn version, lamenting the less vibrant coloring... Your voices have been heard! CHECK IT OUT NOW!!! ...just imagine 4p netplay between Windows, Mac, Linux, and the Sega Dreamcast! 🤯

Holy CRAP! jnmartin gave me access to his private Sonic R decompilation repo, which will serve as the basis for the Sega Dreamcast port. I was able to build Sonic R NATIVELY for my x86_64 desktop, running Ubuntu 24.04, and immediately begin playing after just typing "make" and then passing the binary the location of my ripped (yet legally purchased) PC assets. ...but while he's at it, jnmartin has decided to make the base decompilation codebase platform-independent, so this should theoretically work on any platform that supports SDL2 and very basic OpenGL--no shaders required--with very low system requirements. jnmartin already has it running fine on the latest MacOS version on Apple silicon, and now we can confirm it works fine on Debian Linux distros, no problem. Next up we'll test for Windows. Oh, and by the way, to everyone freaking out over the fact that the decomp is starting from the PC version and not the Saturn version, lamenting the less vibrant coloring... Your voices have been heard! CHECK IT OUT NOW!!! ...just imagine 4p netplay between Windows, Mac, Linux, and the Sega Dreamcast! 🤯

Falco Girgis

71,617 görüntüleme • 3 ay önce