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[Other] Show HN: Echo, an iOS SSH+mosh client built on Ghostty

[API/SDK] Show HN: Trust Protocols for Anthropic/OpenAI/Gemini Much of my work right now involves complex, long-running, multi-agentic teams of agents. I kept running into the same problem: “How do I keep these guys in line?” Rules weren’t cutting it, and we needed a scalable, agentic-native STANDARD I could count on. There wasn’t one. So I built one.<p>Here are two open-source protocols that extend A2A, granting AI agents behavioral contracts and runtime integrity monitoring:<p>- Agent Alignment Protocol (AAP): What an agent can do &#x2F; has done. - Agent Integrity Protocol (AIP): What an agent is thinking about doing &#x2F; is allowed to do.<p>The problem: AI agents make autonomous decisions but have no standard way to declare what they&#x27;re allowed to do, prove they&#x27;re doing it, or detect when they&#x27;ve drifted. Observability tools tell you what happened. These protocols tell you whether what happened was okay.<p>Here&#x27;s a concrete example. Say you have an agent who handles customer support tickets. Its Alignment Card declares:<p>{ &quot;permitted&quot;: [&quot;read_tickets&quot;, &quot;draft_responses&quot;, &quot;escalate_to_human&quot;], &quot;forbidden&quot;: [&quot;access_payment_data&quot;, &quot;issue_refunds&quot;, &quot;modify_account_settings&quot;], &quot;escalation_triggers&quot;: [&quot;billing_request_over_500&quot;], &quot;values&quot;: [&quot;accuracy&quot;, &quot;empathy&quot;, &quot;privacy&quot;] }<p>The agent gets a ticket: &quot;Can you refund my last three orders?&quot; The agent&#x27;s reasoning trace shows it considering a call to the payments API. AIP reads that thinking, compares it to the card, and produces an Integrity Checkpoint:<p>{ &quot;verdict&quot;: &quot;boundary_violation&quot;, &quot;concerns&quot;: [&quot;forbidden_action: access_payment_data&quot;], &quot;reasoning&quot;: &quot;Agent considered payments API access, which is explicitly forbidden. Should escalate to human.&quot;, &quot;confidence&quot;: 0.95 }<p>The agent gets nudged back before it acts. Not after. Not in a log you review during a 2:00 AM triage. Between this turn and the next.<p>That&#x27;s the core idea. AAP defines what agents should do (the contract). AIP watches what they&#x27;re actually thinking and flags when those diverge (the conscience). Over time, AIP builds a drift profile — if an agent that was cautious starts getting aggressive, the system notices.<p>When multiple agents work together, it gets more interesting. Agents exchange Alignment Cards and verify value compatibility before coordination begins. An agent that values &quot;move fast&quot; and one that values &quot;rollback safety&quot; registers low coherence, and the system surfaces that conflict before work starts. Live demo with four agents handling a production incident: <a href="https:&#x2F;&#x2F;mnemom.ai&#x2F;showcase" rel="nofollow">https:&#x2F;&#x2F;mnemom.ai&#x2F;showcase</a><p>The protocols are Apache-licensed, work with any Anthropic&#x2F;OpenAI&#x2F;Gemini agent, and ship as SDKs on npm and PyPI. A free gateway proxy (smoltbot) adds integrity checking to any agent with zero code changes.<p>GitHub: <a href="https:&#x2F;&#x2F;github.com&#x2F;mnemom" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;mnemom</a> Docs: docs.mnemom.ai Demo video: <a href="https:&#x2F;&#x2F;youtu.be&#x2F;fmUxVZH09So" rel="nofollow">https:&#x2F;&#x2F;youtu.be&#x2F;fmUxVZH09So</a>

[Build/Deploy] 1-click deploy for popular open-source apps Deploy WordPress, n8n, AnythingLLM, NocoDB, and more in seconds — at half the cost of major cloud providers. Hyp.app lets you install popular open-source applications with one click, including a freehyp.app subdomain, custom domains, and SSL.

[IDE/Editor] Show HN: VectorNest responsive web-based SVG editor I’ve just released VectorNest — an open-source, browser-based SVG editor.<p>If you have an SVG and need quick edits (paths, alignment, small fixes, animations, LLM assistance) without installing software, this is for you.<p>Try the demo: <a href="https:&#x2F;&#x2F;ekrsulov.github.io&#x2F;vectornest&#x2F;" rel="nofollow">https:&#x2F;&#x2F;ekrsulov.github.io&#x2F;vectornest&#x2F;</a> GitHub repo: <a href="https:&#x2F;&#x2F;github.com&#x2F;ekrsulov&#x2F;vectornest" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;ekrsulov&#x2F;vectornest</a><p>Feedback, issues and contributions are welcome.

[Other] An open-source AI agent that lives in your terminal.

[CLI Tool] Point at any URL/YouTube/Podcast or file. Get the gist. CLI and Chrome Extension.

[CLI Tool] Google Suite CLI: Gmail, GCal, GDrive, GContacts.

[Other] The most capable Sonnet model yet Claude Sonnet 4.6 is a full upgrade across coding, computer use, long-context reasoning, agent planning, knowledge work, and design. It also features a 1M token context window in beta. Sonnet 4.6 has improved on benchmarks across the board. It approaches Opus-level intelligence at a price point that makes it practical for far more tasks. It also shows a major improvement in computer use skills.

[Monitoring/Observability] Real-time observability dashboard for OpenClaw AI agents ClawMetry is a free, open-source observability dashboard for OpenClaw AI agents. Think Grafana, but purpose-built for AI. One command install (pip install clawmetry), zero config. Monitor token costs, sub-agent activity, cron jobs, memory changes, and session history. All in real-time with a beautiful live flow visualization. Works on macOS, Linux, Windows, even Raspberry Pi

[Other] Open-source skills system that wires your business into AI Baseline Core is an open-source skills system for AI agents. Run one command and your AI tools can research markets, write PRDs, plan sprints, and design user flows -- all grounded in your business context. 12 skills, 14 frameworks, 34 reference files. Works with Claude Code, Cursor, Codex, ChatGPT, Gemini, Windsurf, and GitHub Copilot. Free forever.

[Other] Cursor for technical project planning. Code is easy; context is hard! Motionode gives your dev team the ultimate blueprint. Paste raw requirements and in 60s, our engine maps dependencies, calculates timelines, and outputs a complete delivery plan. It’s the structured context layer devs (and future AI agents) need to write brilliant code without getting lost. First run is free!

[Other] All-in-One Free Tools to Simplify Your Digital Work. Murutools is an all-in-one free digital toolbox designed to simplify your workflow. Compress images, convert files, resize assets, and optimize documents instantly — all from your browser with no downloads required. Built for creators, marketers, developers, and founders who want fast, simple, and reliable tools. We're continuously adding new features as we move toward becoming the ultimate workspace for everyday digital tasks.

[Other] Sell by weight in WooCommerce — the way it should work WooCommerce was built for fixed-price products. If you sell meat, spices, gold, or anything priced per gram, you've been stuck creating dozens of variations as a workaround. By-Weight Pricing fixes this properly: customers type a weight, and the price updates live.

[Other] Visual CSS editor that ships code changes through Claude AI Designers love Claude Code for prototyping, but tweaking designs is still hard. Flare fixes this. Works with any web app: Add a script tag or Vite plugin. Edit CSS visually in the browser, copy as a prompt, paste into Claude Code to update your source.

[Other] Paste any URL. Get 150+ conversion fixes in seconds. Cindex audits any webpage against 150+ conversion benchmarks used by companies like Stripe, Apple, and Shopify, then tells you exactly what to fix and why. Paste a URL and get a prioritized breakdown of what's hurting your conversion rate, from copy and layout to trust signals and page speed. Every recommendation is backed by real A/B test data, not opinions. The patterns library includes over 40+ research-backed CRO examples with downloadable components you can implement immediately.

[Build/Deploy] Deploy AI chatbots on 8+ channels in under 1 minute EasyClawDeploy is the fastest way to launch AI-powered chatbots across 8 messaging platforms in under 60 seconds. No servers, Docker, webhooks, or coding required. Simply sign in with Google, choose Claude, GPT-4o, or Gemini, select from 40+ ready-made templates, pick your channel, paste your bot token, and deploy instantly. Perfect for indie hackers, agencies, startups, and businesses that want to build, test, and scale AI assistants fast. Free tier available, paid plans start at $5/month.

[Other] 50+ Essential Web Tools in One Place. Free & No Signup! Stop bookmarking 50 different websites for simple tasks. MicroToolsHub is a fast, secure, and completely free collection of 50+ essential tools for developers, designers, and students. From Image Optimizers (WebP/AVIF) and PDF Converters to JSON Formatters and SEO Tools—we’ve got everything under one roof. No login required, just pure utility!

[DevOps] Vercel For Private Apps Ambit creates private spaces where you build, deploy, and share web apps — and only the people you choose can reach them. Whether you're a solo developer building applets that use your private data, or a small team that needs everyone working inside a space where access to data is tightly controlled from the start, Ambit gives you a secure, isolated, private place to host your applet. You're able to deploy apps to custom domains (i.e. *.funstuff), which are only accessible via the Ambit VPN.

[Other] Show HN: Beautiful interactive explainers generated with Claude Code Hello HN,<p>Recently an amazingly beautiful explainer was shared on HN: <a href="https:&#x2F;&#x2F;explainers.blog&#x2F;posts&#x2F;why-is-the-sky-blue&#x2F;" rel="nofollow">https:&#x2F;&#x2F;explainers.blog&#x2F;posts&#x2F;why-is-the-sky-blue&#x2F;</a><p>I loved it so much that I wished more topics were explained that way. So, I decided to stress-test today&#x27;s frontier models (Opus 4.6 in Claude Code) to generate similar explainer on any given topic WITH (almost) one shot and minimal nudging.<p>I&#x27;m launching with four topics: Fourier transformation, scaling laws in bio, cellular automata and LLMs.<p>I would let you be the judge, but I&#x27;m quite liking them.<p>Some things I learned:<p>- Prompting CC to test what it builds using headless chromium is essential - There are subtle bugs in explanations (like in one animation human lifespan is 40 years) - Asking CC to verify its plan via codex works really well<p>I do want to reiterate that the pages generated were mostly one-shot, which amazed me given how detailed the pages + animations are.

[Other] Terminals should generate the 256-color palette