SecureNow
Agentic AI that takes care of your app security
What it does
Agentic AI security for Node.js & Next.js apps. SecureNow watches your traffic, investigates suspicious IPs, explains attacks in plain English, and prepares the right action — block, tune, or false-positive — so small teams don't babysit alerts. Start in 30s with firewall-only mode: node -r securenow/firewall-only app.js No telemetry setup. Add traces, logs & AI forensics when ready. 14 days unlimited. No card.
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- IBI built a firewall for agents because prompt engineering isn't securityJan 2026 · github.com · ▲7
Hi HN, I’m the creator of Cordum. I’ve been working in DevOps and infrastructure for years (currently in the fintech/security space), and as I started playing with AI agents, I noticed a scary pattern. Most "safety" mechanisms rely on system prompts ("Please don't do X") or flimsy Python logic inside the agent itself. If we treat agents as autonomous employees, giving them root access and hoping they listen to instructions felt insane to me. I wanted a way to enforce hard constraints that the LLM cannot override, no matter how "jailbroken" it gets. So I built Cordum. It’s an open-source…
- IDIsAgent – Detect agents like ChatGPT Agent on your website2025 · isagent.dev · ▲7
Hi HN! I’m Bobbie Chen, Product Manager for Fraud and Security at Stytch. Today we are launching IsAgent: a lightweight JavaScript SDK that tries to detect agentic traffic on the frontend, enabling you to build agent-friendly experiences. You can try it out on our site at IsAgent.dev or install it via: npm install @stytch/is-agent (requires registration to use) Try viewing IsAgent.dev as a human. Then try using ChatGPT Agent to view the page: "Visit IsAgent.dev, wait a few seconds, and then take a screenshot." (or, toggle the switcher at the top) We built this because we’ve had a lot…
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 18d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 19d ago · company-app.joinastute.com
Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com
Launched alongside, May 2026
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Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai
- NW
Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
Life & fun · May 2026 · github.com
- FM
Dev tools · May 2026 · github.com