Show HN: Hybro – an open interoperability engine for AI agents https://ift.tt/VTUl6YC

Show HN: Hybro – an open interoperability engine for AI agents I built an open interoperability engine for AI agents. Connect your favorite agents and harnesses. Work together. Appreciate for any feedback. https://ift.tt/uik6oKs October 18, 2026 at 08:41PM

Show HN: JSynth – Visual Programming Editor for Julia https://ift.tt/EjLp8cl

Show HN: JSynth – Visual Programming Editor for Julia https://ift.tt/uPwrlYz October 18, 2026 at 03:55AM

Show HN: 500 clocks in one 6.3 MB HTML file by Opus 5.5 https://ift.tt/xvh91aK

Show HN: 500 clocks in one 6.3 MB HTML file by Opus 5.5 Lately I've been testing frontier models by having them create self-contained web pages that display clocks--sort of my personal version of Simon Willison’s pelican-on-a-bicycle metric. I have been particularly impressed by the variety, interest, and quality of the clocks created by Claude Opus 5.5. Over the course of several sessions in the Claude chat interface, I had it build a total of 500 clocks. Claude’s summary of the prompting process and page design is here: https://ift.tt/TDOY7Kg https://ift.tt/PWyuNYK October 18, 2026 at 01:04AM

Show HN: Cosplay as a tech lead, using gVisor to sandbox agents https://ift.tt/Vv0bCI8

Show HN: Cosplay as a tech lead, using gVisor to sandbox agents Hi everyone, This started as an exploration into harnesses and locally hostable LLMs (the kind that uses less power than a small electric heater), and I used it as an opportunity to retool. I've tried popular ones like Cline, Claude Code, and Pi, but wanted a different UX and integrated sandboxes. The solution that I've landed on is a responsive web interface where I can quickly drive progress. It feels like a microcosm of my day job: define and delegate tasks, organize using kanban, then review deliverables. And it also feels like the time I used to spend coding is now spent in code review with the agent, so I tried to optimize the UX to make review feel nicer. One of my (maybe a bit niche) benchmark use-cases is how pleasant it is to make progress on hobby software projects while also out on a hike. This meant specifying low bandwidth usage and offline mode. Now I can jot down an idea, start the task, and at some point down the trail: get a notification* that either clarification is needed, a decision needs to be made, or the code is ready for review. I've been having a good time with this. To build MIKE, I exclusively used locally hostable LLMs (from Google, Meta, Qwen, Poolside, and DeepSeek) hosted with llama.cpp on my machines at home (Strix Halo and a 5090) to "compile" the code. The experience has gotten substantially better ever since DeepSeek’s release in July. Side note: I have a soft spot for llama.cpp since it was one of the first that made it possible to run this new tech at home, and its maintainers accepted a tiny improvement I made to error reporting. Oh the joys of having a PR get approved. I plan on maintaining this, at least until similar features are supported by better tools. Until then, hope you find this useful! 5 minute demo: https://youtu.be/jexzLkZ50FU p.s. I didn't mention details about the sandbox earlier since most people seem to find this a bit boring. It was one of my critical requirements, and I opted to use an existing battle-tested sandbox. I'm not an expert on how the Linux kernel works, but seeing all the VM escape exploits recently is a bit scary, and I liked gVisor’s approach to the problem. I'm also using Git worktrees to provision the agent’s workspace, as well as a read-only repository mount to provide relevant context when the agent looks for it. *off by default https://ift.tt/NotLnUl October 17, 2026 at 10:49PM

Show HN: Calcy – unit-aware, uncertainty-propagating math https://ift.tt/sSLukH0

Show HN: Calcy – unit-aware, uncertainty-propagating math Offline-first notepad calculator: unit-aware math, uncertainty propagation, and rate reasoning. https://ift.tt/79abzJm October 17, 2026 at 03:40AM

Show HN: Llmspeed – feel how fast a local LLM runs before you buy the hardware https://ift.tt/YAwxb7J

Show HN: Llmspeed – feel how fast a local LLM runs before you buy the hardware https://llmspeed.dev/ October 17, 2026 at 01:36AM

Show HN: Twain, a diff viewer like Meld, but for the age of AI https://ift.tt/Z59iCHI

Show HN: Twain, a diff viewer like Meld, but for the age of AI I love Meld, I've been using it for a while now, it's amazing how many diff viewers exist these days and how they are all awful compared to Meld. But Meld was missing some features that I thought were worth having: - all files from a Git diff shown in the same view, sequentially + a file tree on the side. - show either the full files or only the parts that changed. - tree-sitter-based syntax highlighting. - the ability to comment on sets of changes and lines, and AIs can read these comments. - the ability to search through the entire set of modified files. Twain is in Rust and based on GTK4. https://ift.tt/HRFLr71 October 16, 2026 at 11:03PM