ExChek
Free export compliance engine for AI agents
What it does
ExChek gives AI agents export compliance superpowers — ECCN classification, denied-party screening, license determination, and export documentation. Built as installable skills for Claude, Cursor, Perplexity, and any MCP-compatible agent. Human-in-the-loop on every determination. Audit-ready memos with full regulatory citations. Live eCFR data. 100% free. No signup. No API key. Built for developers and small manufacturers who can't afford $50K/year compliance software.
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- WIWe instrumented Claude Agent SDK using a tiny Rust proxyDec 2025 · laminar.sh · ▲6
At Laminar (https://github.com/lmnr-ai/lmnr) we're building open source AI observability platform in Rust. We obsess over instrumentation DX for our Python and TS SDKs and in this new blog we outline how we made the most seamless way of instrumenting recently released claude agent sdk
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Hi HN, we're Kiran and Vijay! Over the past two years, we have built a columnar storage engine for observability: logs, metrics, and traces. Today, it's exciting for us to show what we've built on top of that foundation: LLM Agent Observability. Given how non-deterministic agents are, storing all traces without sampling was critical for us. But these traces tend to be in the MBs, sometimes GBs - we needed to store them inexpensively. We also needed the queries and analyses to be fast. To meet both these goals, we store them in S3 in our own parquet-like file format, and query them using AWS…
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Hi HN, I’m a solo founder, and I’ve been working on an AI tool that helps companies and organizations navigate and comply with EU regulations. The platform leverages AI to provide insights, research capabilities, and compliance assistance, aiming to reduce the complexity and time spent dealing with regulatory requirements. Compliance with EU regulations (like GDPR, labor laws, and industry-specific rules) can be overwhelming, especially for SMEs and startups. As someone passionate about tech and legal simplification, I saw an opportunity to create a tool that streamlines this process,…
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More ai this month
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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 · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d 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, March 2026
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Switch from ChatGPT to Claude with import memory feature
AI · Mar 2026 · claude.com
