Argus
Static analysis for every package an AI agent installs
What it does
Argus is an open-source static-analysis CLI that inspects every package an AI agent or MCP server tries to install. It runs SAST on the actual source code and blocks malicious payloads before they touch your machine.
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ArgusAI Jul 2026 · argusai-tau.vercel.app · ▲7AI firewall for LLM calls, MCP tools, and agentic workflows

Argus, agentic QA for teams whose coding agents move faster than QA19d ago · github.com · ▲8Open-source AI QA agent. Argus tests web apps like a human tester would: visual navigation, real workflows, evidence-backed reports. - argus-testing/argus
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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.
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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…
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Today, I’m proud to announce Homebrew 6.0.0. The most significant changes since 5.1.0 are a new tap trust security mechanism, the new faster, smaller, default internal Homebrew JSON API, sandboxing on Linux, better defaults informed by our user survey, many brew bundle improvements, improved performance and initial support for macOS 27 (Golden Gate). Happy to discuss any questions here!
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