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Show HN: AgentRun – open-source, Self-improving Managed Agents

We (GREP.AI, YC F26) are open-sourcing AgentRun and turning it into a full managed agents platform. Read more about it in this post: <a href="https://agentrun.ai/blog/introducing-agentrun-run-smarter-agents-use-fewer-tokens" rel="nofollow">https://agentrun.ai/blog/introducing-agentrun-run-smarter-ag...</a>.<p>It includes what we originally built for our own agent harness:<p>- Self-improving agents - Web-grounded workflows - A range of sandboxes and computer environments - Thousands of tools and integrations - Detailed analytics on how your agents behave<p>You can bring your own agent. AgentRun works with Pi, Claude Agents, Codex, OpenCode, and any other harness that supports ACP.<p>You can self-host it (see 1-click install on Render) with an OpenRouter key, or try the hosted version at console.agentrun.ai.<p>We’d love feedback, especially on the architecture (see README), or anything we may be missing to make it useful to you.

Show HN: Klad, a paint app your coding agent can drive (source-available)

I've been developing applications for a long time and have turned to game development as well lately. One of the things that frustrated me the most was that using AI agents for game development is very annoying in the art department. Your only options right now are to either use an image genAI model and roll the dice every time you want to make an edit, or have your agent draw with something like vectors.<p>I was looking for an application that would allow me to ask an agent to make a first draft of whatever art I needed with actual brushes, and then be able to go in myself and edit every last stroke or layer that it created.<p>Klad is that application. Written in Rust, it can be fully controlled by an agent through the CLI, and every function is available in a nice UI as well: a brush engine, frame-by-frame animation (and bones/IK), vectors, text layers, colours, layer effects, infinite undo (even after re-opening the file!),…<p>Why I think it's useful for a wider audience: Adobe showed agents editing Photoshop files at MAX this week, with a private beta planned for early 2027.<p>Klad is built on the same core idea, with editable paint strokes as core architecture, and it works today.<p>Clone the repo to try it out: <a href="https://github.com/klad-app/klad" rel="nofollow">https://github.com/klad-app/klad</a><p>You can basically point Claude to the repo, ask it to build it, and pick up the drawing skills. Then ask it to make any drawing you want! (After that, you or the agent can change absolutely every brush stroke in the app again, which makes edits a breeze.)<p>The quality of the drawings really depends on the agent you use. I have tried it with Claude Fable 5.2 since it came out on Monday, and the drawings are already quite impressive. I'm confident that this will only improve.<p>I use it every day on Mac, so that definitely works well. It builds on Linux too (tablet pen pressure still needs some work there). Windows builds in CI, I haven't used it there myself yet but I have some reports that it works perfectly fine.<p>Coming up next is support for pixel art. I'm in the testing phase with this right now, and I expect it to go live in the repo sometime this weekend.<p>Klad is source-available rather than open source: free to build and use for individuals and small companies, and I plan to sell pre-built binaries later, the way Aseprite does. The file format, CLI reference and agent skill are MIT.<p>What I want to hear from people who try it: Can your agent work out the CLI without help, and where does it get confused? Can you go in and change one of its strokes easily?<p>The command reference and guides are available at <a href="https://klad.studio" rel="nofollow">https://klad.studio</a><p>I'll be here answering any questions about the technical side as well, as it's a pretty interesting challenge to build a performant engine with editable brush strokes that render as paint.

Show HN: Fable52.games – Play and inspect Fable 5.2 single-file HTML games

Show HN: Aircad – Professional drafting and 3D modeling in the browser

Aircad is a professional CAD system running in the browser with deep AI integration. It includes professional grade drafting and documentation tools, NURBS-based solid modeling, and a lot more. You can make professional quality design documents with it. It is all integrated behind a scripting API that can do anything you can do in the interface and also perform complex modeling operations efficiently. It reads and writes file formats like DXF, DWG, STEP, and 3DM.<p>I built Aircad because I was frustrated with what was out there. Current CAD tools are expensive and slow to improve. New features barely move the needle. With Aircad, you have fast, powerful geometry tools for just about anything, from conceptual models to your final design.<p>The newer generation of web-based CAD isn’t comprehensive enough to complete a project or is slower than existing desktop products because it sends performance-sensitive work to a server (OnShape), or isn’t designed to scale to real work in a collaborative setting (many "toy" CAD tools).<p>Current CAD collaboration workflows are fragile, costly, and complex. They’re file-based and separate the design artifacts (eg PDFs) from the source. Collaboration is often an expensive add-on that raises your subscription, is hard to learn, and feels unnatural. Aircad builds it in: version history, drawing comparison, forking, and realtime collaboration.<p>AI in most CAD tools is tacked on as a plug-in instead of being deeply integrated, and those plug-ins are often inefficient, hard to adopt, and costly. Aircad has a built-in AI agent and a comprehensive scripting API with a stage-and-commit workflow, so you know exactly what is happening during a complex change. You can use AI to write new scripts and commands that extend Aircad with repeatable, shareable workflows.

Show HN: My $300 embroidery machine needed a subscription, so I built my own app

Show HN: Godbolt-in-a-floating-window for Neovim (C, C++, Rust)

No internet connection needed. Uses a locally-installed compiler for assembly generation.

Show HN: Godbolt-in-a-floating-window for Neovim (C, C++, Rust)

No internet connection needed. Uses a locally-installed compiler for assembly generation.

Show HN: Black Ops II statically recompiled to native ARM64 macOS

I grew up with Black Ops 2 and wanted to see if I could make it work on my 2020 MacBook Pro. So I used Claude Opus 5.5 to create a tool that converts your copy of the game (from Steam) to a native ARM64 Mac app, with almost 60fps in all areas. The whole game is statically recompilated ahead-of-time (AOT) and does not use any emulator whatsoever, be it Wine, Crossover or Rosetta. The best thing is the performance, although some heat issues are still to fix. You get to play the whole Campaign, local Multiplayer (with bots) and local Zombies (all DLCs maps; you need to have them in your Steam library obviously) at about 60fps. Split-screen was not in the PC version, but I've been working on it lately; it's coming soon! LAN mode is on the roadmap for later too :)

Show HN: Black Ops II statically recompiled to native ARM64 macOS

I grew up with Black Ops 2 and wanted to see if I could make it work on my 2020 MacBook Pro. So I used Claude Opus 5.5 to create a tool that converts your copy of the game (from Steam) to a native ARM64 Mac app, with almost 60fps in all areas. The whole game is statically recompilated ahead-of-time (AOT) and does not use any emulator whatsoever, be it Wine, Crossover or Rosetta. The best thing is the performance, although some heat issues are still to fix. You get to play the whole Campaign, local Multiplayer (with bots) and local Zombies (all DLCs maps; you need to have them in your Steam library obviously) at about 60fps. Split-screen was not in the PC version, but I've been working on it lately; it's coming soon! LAN mode is on the roadmap for later too :)

Show HN: I recreated Papers Please but you're deciding which YC startups to fund

Show HN: I recreated Papers Please but you're deciding which YC startups to fund

Show HN: Yogurt – Free, private, open-source alternative to Granola

Hey HN, I’m Eric and I want to share an OSS project that I’ve been building in my free time. Yogurt is a free, MIT licensed desktop app that uses on-device AI models to transcribe, summarize, and chat with your meetings.<p>Here's a quick demo video: <a href="https://www.youtube.com/watch?v=BFfbXAwRq98" rel="nofollow">https://www.youtube.com/watch?v=BFfbXAwRq98</a><p>Similar to Granola, Yogurt runs in the background and does not join your calls. But unlike Granola, Yogurt is open-source, free to use, and private. Your meeting transcripts, call recordings, and summaries never leave your computer.<p>As small OSS models have gotten faster and more powerful, Yogurt seemed like a pretty obvious win for privacy and cost conscious folks. You do not need a frontier model to summarize meeting notes or answer questions about them. And if you want to make your notes available to a frontier model, you can just share it with Anthropic, OpenAI, etc. directly via Yogurt’s local MCP server. There’s no need to use a paid cloud service as a middleman.<p>I tried some of the most popular OSS note taking tools, and most were missing features like calendar integration, MCP server, etc. or required you to connect or create an account. And more than that, they didn’t feel polished enough for it to be something I actually wanted to use daily, and so I built Yogurt to scratch that itch. I spent a lot of time fine-tuning every UI interaction/animation and optimizing the model calls to get the most out of your hardware + make it snappy.<p>To support Windows/Mac/Linux, I decided to go with Electron. I use whisper.cpp for transcription and Apple’s on-device SpeechAnalyzer if your system supports it. For call summaries and questions, I use a local open weight LLM that automatically gets downloaded and set up based on what your hardware can handle without your cooling fans firing off like crazy (this part uses llama.cpp).<p>I’ve spent a lot of time working on details like echo detection/reduction, global/folder/local level search respectively, and auto-end recordings. Hope this is useful for any of you who have held out on using AI note tools for privacy or cost reasons, or for folks using cloud tools who want to switch to something free and open source that still feels great to use.<p>Would love to hear what you think about the onboarding and note taking experience :)

Show HN: Yogurt – Free, private, open-source alternative to Granola

Hey HN, I’m Eric and I want to share an OSS project that I’ve been building in my free time. Yogurt is a free, MIT licensed desktop app that uses on-device AI models to transcribe, summarize, and chat with your meetings.<p>Here's a quick demo video: <a href="https://www.youtube.com/watch?v=BFfbXAwRq98" rel="nofollow">https://www.youtube.com/watch?v=BFfbXAwRq98</a><p>Similar to Granola, Yogurt runs in the background and does not join your calls. But unlike Granola, Yogurt is open-source, free to use, and private. Your meeting transcripts, call recordings, and summaries never leave your computer.<p>As small OSS models have gotten faster and more powerful, Yogurt seemed like a pretty obvious win for privacy and cost conscious folks. You do not need a frontier model to summarize meeting notes or answer questions about them. And if you want to make your notes available to a frontier model, you can just share it with Anthropic, OpenAI, etc. directly via Yogurt’s local MCP server. There’s no need to use a paid cloud service as a middleman.<p>I tried some of the most popular OSS note taking tools, and most were missing features like calendar integration, MCP server, etc. or required you to connect or create an account. And more than that, they didn’t feel polished enough for it to be something I actually wanted to use daily, and so I built Yogurt to scratch that itch. I spent a lot of time fine-tuning every UI interaction/animation and optimizing the model calls to get the most out of your hardware + make it snappy.<p>To support Windows/Mac/Linux, I decided to go with Electron. I use whisper.cpp for transcription and Apple’s on-device SpeechAnalyzer if your system supports it. For call summaries and questions, I use a local open weight LLM that automatically gets downloaded and set up based on what your hardware can handle without your cooling fans firing off like crazy (this part uses llama.cpp).<p>I’ve spent a lot of time working on details like echo detection/reduction, global/folder/local level search respectively, and auto-end recordings. Hope this is useful for any of you who have held out on using AI note tools for privacy or cost reasons, or for folks using cloud tools who want to switch to something free and open source that still feels great to use.<p>Would love to hear what you think about the onboarding and note taking experience :)

Show HN: Ghanaian street games you can play in the browser

Show HN: Ghanaian street games you can play in the browser

Show HN: STE80 Humanizer – de-AI text by writing 80% of the way to ASD-STE100

Show HN: Valencia, Spain in Sim City/Isometric View

Show HN: Valencia, Spain in Sim City/Isometric View

Show HN: Valencia, Spain in Sim City/Isometric View

Show HN: A 15 MB self-hosted Netflix and Spotify for your media server

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