BlogViral

Show HN: Mesa – A collaborative canvas IDE built for agent-first development Hi HN - I'm Ryan a product designer who codes, and I built Mesa. Current IDEs feel wrong for the type of development being done now - the focus is still on files. Mesa puts the focus on the full workflow: your agent, terminal, browser, and files all live as equal nodes on a canvas with full multiplayer support. (think figma but for code) I was tired of the overhead of switching windows, tabs, and terminals across multiple projects. Inspired by TouchDesigner and Factorio, I wanted something more fluid and visual. Been using it as a total replacement for Cursor at work every day now. Being able to see multiple repos at once and control agents on each without navigating windows has freed up my headspace and increased productivity. It's free to try — would love to know what you think! https://ift.tt/9FYdUh5 March 13, 2026 at 10:17PM

Show HN: Turn your YouTube subscriptions into a retro TV guide I know, it's a very first-world problem. But in my house, we have a hard time deciding what to watch. Too many options! So I made this to recreate Cable TV for YouTube. I made it so it runs in the browser. Quickly import your subscriptions in the browser via a bookmarklet. No accounts, no sign-ins. Just quickly import your data locally. https://ift.tt/x7STuCj March 11, 2026 at 09:34PM

Show HN: Understudy – Teach a desktop agent by demonstrating a task once I built Understudy because a lot of real work still spans native desktop apps, browser tabs, terminals, and chat tools. Most current agents live in only one of those surfaces. Understudy is a local-first desktop agent runtime that can operate GUI apps, browsers, shell tools, files, and messaging in one session. The part I'm most interested in feedback on is teach-by-demonstration: you do a task once, the agent records screen video + semantic events, extracts the intent rather than coordinates, and turns it into a reusable skill. Demo video: https://www.youtube.com/watch?v=3d5cRGnlb_0 In the demo I teach it: Google Image search -> download a photo -> remove background in Pixelmator Pro -> export -> send via Telegram. Then I ask it to do the same for Elon Musk. The replay isn't a brittle macro: the published skill stores intent steps, route options, and GUI hints only as a fallback. In this examp...

Show HN: Verge Browser a self-hosted isolated browser sandbox for AI agents Built this because I wanted a better browser runtime for Openclaw, which can run on any server no only on Mac mini, emm. When it needs me to login or perform some operations, I can simply use noVNC to operate, and then leave everything else to it. https://ift.tt/03DbzAy March 12, 2026 at 11:57PM

Show HN: OneCLI – Vault for AI Agents in Rust We built OneCLI because AI agents are being given raw API keys. And it's going about as well as you'd expect. We figured the answer isn't "don't give agents access," it's "give them access without giving them secrets." OneCLI is an open-source gateway that sits between your AI agents and the services they call. You store your real credentials once in OneCLI's encrypted vault, and give your agents placeholder keys. When an agent makes an HTTP call through the proxy, OneCLI matches the request by host/path, verifies the agent should have access, swaps the placeholder for the real credential, and forwards the request. The agent never touches the actual secret. It just uses CLI or MCP tools as normal. Try it in one line: docker run --pull always -p 10254:10254 -p 10255:10255 -v onecli-data:/app/data ghcr.io/onecli/onecli The proxy is written in Rust, the dashboard is Next.js, and secrets are AES-256-G...

Show HN: A2Apex – Test, certify, and discover trusted A2A agents Hey HN, I built A2Apex ( https://a2apex.io ) — a testing and reputation platform for AI agents built on Google's A2A protocol. The problem: AI agents are everywhere, but there's no way to verify they actually work. No standard testing. No directory of trusted agents. No reputation system. What A2Apex does: - Test — Point it at any A2A agent URL. We run 50+ automated compliance checks: agent card validation, live endpoint testing, state machine verification, streaming, auth, error handling. - Certify — Get a 0-100 trust score with Gold/Silver/Bronze badges you can embed in your README or docs. - Get Listed — Every tested agent gets a public profile page in the Agent Directory with trust scores, skills, test history, and embeddable badges. Think of it as SSL Labs (testing) + npm (directory) + LinkedIn (profiles) — for AI agents. Stack: Python/FastAPI, vanilla JS, SQLite. No frameworks, no build tools. Runs on a Mac ...