🛠️ All DevTools

[Other] Beagle, a source code management system that stores AST trees

[CLI Tool] CLI RSS/Atom feed reader inspired by Taskwarrior, synced using Git

[API/SDK] Unofficial Python API for Google NotebookLM

[Package Manager] If It Quacks Like a Package Manager

[Other] PeppyOS: A simpler alternative to ROS 2 (now with containers support)

[IDE/Editor] Julia Snail – An Emacs Development Environment for Julia Like Clojure's Cider

[Other] Invoker Commands API

[Other] SWE-CI: Evaluating Agent Capabilities in Maintaining Codebases via CI

[Other] Sem – Semantic version control. Entity-level diffs on top of Git

[Other] MonoGame: A .NET framework for making cross-platform games

[Other] A New Version of Our Oracle Solaris Environment for Developers

[Other] A Decade of Docker Containers

[Other] Show HN: OpenGraviton – Run 500B+ parameter models on a consumer Mac Mini Hi HN,<p>I built OpenGraviton, an open-source AI inference engine designed to push the limits of running extremely large models on consumer hardware.<p>The system combines several techniques to drastically reduce memory and compute requirements:<p>• 1.58-bit ternary quantization ({-1, 0, +1}) for ~10x compression • dynamic sparsity with Top-K pruning and MoE routing • mmap-based layer streaming to load weights directly from NVMe SSDs • speculative decoding to improve generation throughput<p>These allow models far larger than system RAM to run locally.<p>In early benchmarks, OpenGraviton reduced TinyLlama-1.1B from ~2.05GB (FP16) to ~0.24GB using ternary quantization. Synthetic stress tests at the 140B scale show that models which would normally require ~280GB FP16 can fit within ~35GB when packed with the ternary format.<p>The project is optimized for Apple Silicon and currently uses custom Metal + C++ tensor unpacking.<p>Benchmarks, architecture, and details: <a href="https:&#x2F;&#x2F;opengraviton.github.io" rel="nofollow">https:&#x2F;&#x2F;opengraviton.github.io</a><p>GitHub: <a href="https:&#x2F;&#x2F;github.com&#x2F;opengraviton" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;opengraviton</a>

🤖 Autonomous agent framework for Elixir. Built for distributed, autonomous behavior and dynamic workflows.

[Other] Show HN: Bulk Image Generator – Create AI variations and remove bg in batch Hello HN,<p>I built Bulk Image Generator because I was frustrated with how slow it is to iterate on visual assets. Tools like Midjourney are great for single images, but when you need 50+ variations of a product shot or a game asset based on a specific reference, the manual process is a pain.<p>What it does:<p>Upload one reference image and generate 100+ AI variations while maintaining style&#x2F;structure.<p>Batch background removal (because once you generate 100 images, you usually need to clean them up).<p>Fast bulk download.<p>Why I’m sharing it here: I’m looking for feedback on the consistency of the output. I also want to know if there are specific &quot;batch&quot; workflows in your design or dev process that are still too manual.<p>I’ll be around to answer any questions about the implementation or future roadmap!

Claude Code deletes developers' production setup, including database

[Other] Show HN: Reviving a 20-year-old puzzle game Chromatron with Ghidra and AI Play: <a href="https:&#x2F;&#x2F;p.migdal.pl&#x2F;chromatron-oxide&#x2F;" rel="nofollow">https:&#x2F;&#x2F;p.migdal.pl&#x2F;chromatron-oxide&#x2F;</a> Repo: <a href="https:&#x2F;&#x2F;github.com&#x2F;stared&#x2F;chromatron-oxide&#x2F;" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;stared&#x2F;chromatron-oxide&#x2F;</a> (educational purpose only) The original: <a href="https:&#x2F;&#x2F;www.silverspaceship.com&#x2F;chromatron&#x2F;" rel="nofollow">https:&#x2F;&#x2F;www.silverspaceship.com&#x2F;chromatron&#x2F;</a><p>Full story in the blog post.

Show HN: µJS, a 5KB alternative to Htmx and Turbo with zero dependencies I built µJS because I wanted AJAX navigation without the verbosity of HTMX or the overhead of Turbo.<p>It intercepts links and form submissions, fetches pages via AJAX, and swaps fragments of the DOM. Single &lt;script&gt; tag, one call to `mu.init()`. No build step, no dependencies.<p>Key features: patch mode (update multiple fragments in one request), SSE support, DOM morphing via idiomorph, View Transitions, prefetch on hover, polling, and full HTTP verb support on any element.<p>At ~5KB gzipped, it&#x27;s smaller than HTMX (16KB) and Turbo (25KB), and works with any backend: PHP, Python, Go, Ruby, whatever.<p>Playground: <a href="https:&#x2F;&#x2F;mujs.org&#x2F;playground" rel="nofollow">https:&#x2F;&#x2F;mujs.org&#x2F;playground</a><p>Comparison with HTMX and Turbo: <a href="https:&#x2F;&#x2F;mujs.org&#x2F;comparison" rel="nofollow">https:&#x2F;&#x2F;mujs.org&#x2F;comparison</a><p>About the project creation, why and when: <a href="https:&#x2F;&#x2F;mujs.org&#x2F;about" rel="nofollow">https:&#x2F;&#x2F;mujs.org&#x2F;about</a><p>GitHub: <a href="https:&#x2F;&#x2F;github.com&#x2F;Digicreon&#x2F;muJS" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;Digicreon&#x2F;muJS</a><p>Happy to discuss the project.

Show HN: Git-lanes – Parallel isolation for AI coding agents using Git worktrees

Show HN: OculOS – Any desktop app as a JSON API via OS accessibility tree Single Rust binary (~3 MB) that reads the OS accessibility tree and gives every UI element a REST endpoint. Click buttons, type text, toggle checkboxes — all via JSON. Works as an MCP server too, so Claude&#x2F;Cursor&#x2F;Windsurf can control any desktop app out of the box.<p>Windows + Linux + macOS. MIT licensed.