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[Other] Show HN: Nallely – A Python signals/MIDI processing system inspired by Smalltalk Nallely is about experimenting with signals: routing, patching, or writing small neurons that process signals and eventually sink in MIDI devices or any application connected to Nallely.<p>I try to get inspired by the &quot;Systems as a Living Things&quot; philosophy and aim, step by step, to create an auto-adaptive, resilient, distributed system. Currently, neurons live in their own thread in a session (world), and send signals (messages) to each other through patches (channels). You can also connect to a network-bus neuron to register your own neurons written in any other technology and have them interact with the existing neurons inside the world. Nallely offers an API to easily code your own reactive neurons, and provides a mobile-friendly GUI for patching everything visually.<p>As anyone posting something based on Python, I can already hear: &quot;no, Python&#x27;s bad, think about the performances, think about the children&quot;.<p>We all know about Python performances (we&#x27;ve all seen the animation with the moving balls and stuff), but the focus here is on dynamic and emergent behaviors, extensibility, and run time adaptability over extreme performance. Even though Nallely is written in pure Python, it runs on a Raspberry Pi 5 (ok, a powerful one), consuming less than 10% CPU on a normal usage and around 40MB of memory.<p>And, as someone mentioning Smalltalk, I can already hear: &quot;Why didn&#x27;t you write it in Smalltalk&quot;? (replace Smalltalk by your prefered dialect)<p>I like Smalltalk, but I also like Python. Nailed it, perfect justification. Jokes aside, IMO Smalltalk is &quot;Systems as Living Things&quot; pushed at its extreme for designing a language, and I admire that. With Nallely, I want to explore the same philosophy: independent musical&#x2F;signal-processing neurons, without relying on Smalltalk, while benefiting from Python&#x27;s deployment and ecosystem advantages (compared to Smalltalk).

[Other] Show HN: Dyad, local, open-source Lovable alternative (Electron desktop app) Hi HN!<p>I left Google earlier this year and created Dyad, a local, open-source AI app builder made with Electron.<p>The motivation: I tried one of the popular cloud-based AI app builders, but when I pulled down the app to run locally and debug in Cursor, it just didn’t work. So I created Dyad, an app builder that runs fully on your computer, making it easy to switch between Dyad and coding tools like Cursor or Claude Code.<p>Source code: <a href="https:&#x2F;&#x2F;github.com&#x2F;dyad-sh&#x2F;dyad&#x2F;" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;dyad-sh&#x2F;dyad&#x2F;</a><p>Download (free, no sign-up): <a href="https:&#x2F;&#x2F;www.dyad.sh&#x2F;" rel="nofollow">https:&#x2F;&#x2F;www.dyad.sh&#x2F;</a><p>I&#x27;ve gotten questions about how it works under the hood so I wrote an architecture doc explaining how it does tool calling using XML tags, etc: <a href="https:&#x2F;&#x2F;github.com&#x2F;dyad-sh&#x2F;dyad&#x2F;blob&#x2F;main&#x2F;docs&#x2F;architecture.md" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;dyad-sh&#x2F;dyad&#x2F;blob&#x2F;main&#x2F;docs&#x2F;architecture....</a><p>Let me know what you think and happy to answer questions about building an Electron app, etc!

[Other] Show HN: I made AquaShell, a scripting and automation environment for Windows Being inspired by old third-party scripting environments such as AutoIt or AutoHotkey, I&#x27;ve developed my own scripting environment for Windows. I&#x27;ve always been fascinated by creating an own programming language and I made the syntax in a way it feels more like something that contains a personal flavor.<p>The language matured over the years and I both use it for administration and automation tasks, but also for fully scripted applications as well.<p>On the homepage, you&#x27;ll find various production scripts as well as links to scripted applications.<p>The scripting environment is free and open-source software, released under the MIT license.

[Other] Show HN: Nanobot – Turn MCP servers into full AI agents Today we&#x27;re releasing Nanobot an open-source framework for building AI agents on top of the Model Context Protocol (MCP).<p>MCP servers are a great way to expose structured tools, but they’re usually just that—collections of functions. Nanobot makes it simple to wrap any MCP server with reasoning, a system prompt, and orchestration so it behaves like a real agent. Even better, Nanobot fully supports MCP-UI, so agents can pass rich interactive components (forms, dashboards, even mini-apps) directly into chat.<p>A simple example: if you had a Blackjack MCP server with tools like deal, bet, and hit, you could wrap it with Nanobot to create a dealer agent that knows how to explain the game, guide a player, and render an interactive Blackjack table inside chat.<p>We built this because we wanted agents that go beyond text and function calls, into actual interactive experiences—something useful for everything from games to e-commerce to developer tools.<p>Code is on GitHub: <a href="https:&#x2F;&#x2F;github.com&#x2F;nanobot-ai&#x2F;nanobot" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;nanobot-ai&#x2F;nanobot</a><p>Live demo (Blackjack): <a href="https:&#x2F;&#x2F;blackjack.nanobot.ai" rel="nofollow">https:&#x2F;&#x2F;blackjack.nanobot.ai</a><p>We’d love feedback from this community—on the framework, the design, and what you’d like to see next.

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[Other] Show HN: I Parallelized RNN Training from O(T) to O(log T) Using CUDA

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[Other] Show HN: KSON, a love-letter to the humans maintaining computer configuration Hi friends, I&#x27;m really excited to introduce KSON, which just entered public beta!<p>Anywhere a human is reading or editing YAML&#x2F;JSON&#x2F;TOML, KSON may be used as a more effective interface on that data. If you are such a human, we invite you to participate in this beta.<p><i>tl;dr</i> Check out the website [1], play with the online playground [2], install the library for your programming language [3], edit in your favorite editor [4], discuss and give feedback [5], contribute to the project [6].<p>(A personal note about this project: I love software. Machines made of words! Such a wonder. KSON itself, as a collection of words that both make a machine <i>and</i> explain that machine, is an expression of a lot ideas I feel really passionately about around software and our relationship to it. I&#x27;ve put a lot of love into trying to make that expression eloquent and reliable. I hope some of that comes through clearly, and I look forward to discussing this more over time with anyone who&#x27;s interested)<p>One of the key things KSON wants to say is: let&#x27;s keep everything that&#x27;s great about YAML and JSON as &quot;Configuration User Interfaces&quot;, and let&#x27;s make those interfaces more toolable, robust, and fun. Here&#x27;s some of the ways we do that:<p>- KSON is a verified superset of JSON, has native JSON Schema support, transpiles cleanly to YAML (with comments preserved!), and is likely available wherever you want it—current supported platforms: JS&#x2F;TS, Python, Rust, JVM, and Kotlin Multiplatform.<p>- KSON is also widely available in developer tools, with support for VS Code, Jetbrains IDEs, and anywhere you can plug in an LSP.<p>- KSON is fully open source, licensed under Apache-2.0, and you are invited to meet its words and tinker with how they make its machine. A lot of care, craft, attention and joy went into making the KSON project understandable and approachable for developers. We hope to see you around.<p>PS. This is an HN-friendly version of the official announcement at &lt;<a href="https:&#x2F;&#x2F;kson.org&#x2F;docs&#x2F;blog&#x2F;2025&#x2F;09&#x2F;17&#x2F;introducing-kson&#x2F;" rel="nofollow">https:&#x2F;&#x2F;kson.org&#x2F;docs&#x2F;blog&#x2F;2025&#x2F;09&#x2F;17&#x2F;introducing-kson&#x2F;</a>&gt;.<p>[1]: <a href="https:&#x2F;&#x2F;kson.org&#x2F;" rel="nofollow">https:&#x2F;&#x2F;kson.org&#x2F;</a><p>[2]: <a href="https:&#x2F;&#x2F;kson.org&#x2F;playground&#x2F;" rel="nofollow">https:&#x2F;&#x2F;kson.org&#x2F;playground&#x2F;</a><p>[3]: <a href="https:&#x2F;&#x2F;kson.org&#x2F;docs&#x2F;install&#x2F;#languages" rel="nofollow">https:&#x2F;&#x2F;kson.org&#x2F;docs&#x2F;install&#x2F;#languages</a><p>[4]: <a href="https:&#x2F;&#x2F;kson.org&#x2F;docs&#x2F;install&#x2F;#editor-support" rel="nofollow">https:&#x2F;&#x2F;kson.org&#x2F;docs&#x2F;install&#x2F;#editor-support</a><p>[5]: <a href="https:&#x2F;&#x2F;kson-org.zulipchat.com&#x2F;" rel="nofollow">https:&#x2F;&#x2F;kson-org.zulipchat.com&#x2F;</a><p>[6]: <a href="https:&#x2F;&#x2F;github.com&#x2F;kson-org&#x2F;kson" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;kson-org&#x2F;kson</a>

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