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Show HN: Open-source API Key server written in Go by Ory

MiMo Code Is Now Released and Open-Source

Show HN: Workplane – collaborative files for agents (and humans) A friend and I built this as a side project to help us collaborate on files with our agents.<p>Claude &#x2F; Codex kept outputting .md and .html files which are great until we needed to share them, so we built this small website to help with that.<p>Agent can either use an HTTP + Skill or an MCP which also uses MCP Apps to add widgets to Claude Desktop &#x2F; Mobile chat.<p>Would love any feedback and hopefully this helps someone else as it did us!

More AI-generated code doesn't make your team faster. It might slow you

Lines of Code Got a Better Publicist

SIA is a Self Improving AI framework to autonomously improve the performance of any AI system (Model / Agent) on a benchmark task.

Local-first session intelligence and analytics for coding agents, supporting Claude Code, Codex, and more than 20 other agents. Also: 100x faster replacement for ccusage!

Fast, secure, efficient backup program

Security scanner for AI agent skills. Detect vulnerabilities, malicious patterns, and security risks.

Human migration has surged since 2000 – these maps reveal where people are going

Show HN: Claumon – forecasting Claude Code usage limits with a Gamma process Anthropic&#x27;s usage analytics dashboard is only available to Team and Enterprise org admins. On a Pro or Max plan all you get is &#x2F;usage and the claude.ai usage page, which show where you stand right now but not where you&#x27;re heading. I looked at various open-source projects but none quite matched what I had in mind: an all-round control panel for Claude Code that&#x27;s also a single binary, with no dependencies and no install steps.<p>The other thing I cared about was forecasting the usage limits. Existing tools do burn-rate projections (ccusage) or percentile heuristics (Claude-Code-Usage-Monitor), which felt too simplistic for what I wanted - I was after a calibrated statistical model with proper credible intervals.<p>I built claumon over the last few months in Go. It runs on Linux, macOS and Windows, with a Homebrew install. It has the usual consumption gauges, cost breakdowns and conversation history, plus two tabs for memory management: after a while I had memories scattered across several projects and wanted to see them in one place and prune the stale ones.<p>In the last few weeks I focused on the forecast model. I started from an empirical-Bayes linear regression with Brownian noise, but ended up with a Gamma process for the path noise: token usage can&#x27;t decrease over time, so Brownian motion, however mathematically convenient, was the wrong choice. The intervals are calibrated against your own recorded history, and there&#x27;s tooling that scores the forecasts out-of-sample, so the coverage is checked rather than assumed.<p>I wrote a formal, versioned spec for the model, and the implementation follows it: <a href="https:&#x2F;&#x2F;github.com&#x2F;fabioconcina&#x2F;claumon&#x2F;blob&#x2F;main&#x2F;internal&#x2F;forecast&#x2F;MODEL.pdf" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;fabioconcina&#x2F;claumon&#x2F;blob&#x2F;main&#x2F;internal&#x2F;f...</a><p>Everything runs locally - nothing leaves your machine. It&#x27;s open source, MIT. I&#x27;d welcome feedback on the model especially.

Web Browsers on Video Game Consoles

Show HN: I built a Red Flag Warning zone-check tool for the East Bay in 48h Hey HN. I&#x27;m a high schooler in Fremont, CA. Tuesday morning I got a county-wide AC Alert text telling everyone in Alameda County to prepare a go-bag for an East Bay Hills Red Flag Warning that starts tonight at 11 PM. The text went to ~half a million phones.<p>The actual NWS warning polygon only covers East Bay Hills (NWS zone CAZ515). Most people who got the text don&#x27;t need a go-bag tonight. Some in the hills don&#x27;t realize how close they are. So I built this tool - <a href="https:&#x2F;&#x2F;redflag-check.info&#x2F;" rel="nofollow">https:&#x2F;&#x2F;redflag-check.info&#x2F;</a> mit licensed public github - <a href="https:&#x2F;&#x2F;github.com&#x2F;vedant-f-is-ma&#x2F;redflag-check" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;vedant-f-is-ma&#x2F;redflag-check</a><p>It does a few things - tells people if they are in the flagged zone, and also provides a way to check if a buddy is in flagged zone and send them a text. Everything without installing an app.<p>I heard back from Oakland Firesafe Council director about a gap in my understanding (and the tool). To my surprise, and through feedback, I realized that you cannot assume that only the flagged area is at risk. Adjacent areas are at risk too! Fires do not follow zone boundaries! I fixed the tool.<p>I built this in 48 hours to close that specific gap: type your address, get a yes&#x2F;no on whether the NWS polygon covers it, your Genasys evacuation zone, tonight&#x27;s wind + humidity at your point, a plain-English action checklist, a per-school decision view for East Bay districts, and a one-tap iMessage buddy-check template for a hill-neighbor at 10:30 PM.

Are insecure code completions in PyCharm a vulnerability?

Deficient executive control in transformer attention

Show HN: Llmbuffer – Python library for cache-optimized LLM conversation history I was not getting good cache utilization when including dynamic context in agent threads. After a lot of experimentation, I found a good pattern that minimizes how often long lived conversation history gets modified while still supporting dynamic context. It has flexible hooks for doing things like truncating or summarizing tool outputs when transitioning messages to the long term history. And I&#x27;m seeing &gt;&gt;90% of tokens hitting the cache for my agents despite including a lot of dynamic user context.<p>There are a wide range of agent prompting strategies so I&#x27;d love to hear where this library works well and where there are patterns that don&#x27;t fit well into the current API!

Show HN: Magenta Real-Time Music Generation Locally on iPhone, Without the GPU Last Thursday, Deepmind released Magenta Realtime 2 , an open source music generation model. They said it could run on Mac, but not iPhone.<p>As a v̵i̵b̵e̵ ̵c̵o̵d̵i̵n̵g̵ ̵a̵d̵d̵i̵c̵t̵ agentic AI maxxi and person who has melted iPhones before (link at bottom), I took that as a personal challenge and made it my weekend project.<p>On Saturday, I got it to run for 10min straight on an iPhone 12 Pro from 2020 without melting the phone or - shockingly - touching the GPU.<p>How? I chopped the model up into 5 pieces and set them each to run on different parts of Apple&#x27;s system on a chip (SoC).<p>My past experience taught me that if you can actually leverage it, the iPhone&#x27;s NPU is incredibly powerful, and power efficient. If you&#x27;re doing sustained real-time generation for long periods of time on a device without a fan, you gotta use the neural engine or else you will melt the device.<p>See: <a href="https:&#x2F;&#x2F;accelerateordie.com&#x2F;p&#x2F;we-melted-iphones-for-science" rel="nofollow">https:&#x2F;&#x2F;accelerateordie.com&#x2F;p&#x2F;we-melted-iphones-for-science</a><p>The Apple Neural Engine has a ton of constraints, the main one being that it only accepts fixed shape inputs, and only supports some architectures -- which is why I chopped the model up into pieces.<p>But it works! And I wrote zero lines of code by hand. Back when I was running VC-backed companies, I would have needed a small team of grumpy greybeard engineers to do this and it would have taken 2-6 weeks. Now I can feed my own nerd fetish and do this stuff myself.<p>Next up: I&#x27;m building an iPhone app that ties into your heart rate, movement data, location etc to generate a real-time soundtrack to you life.<p>What a time to be alive!<p>update: Demo video of it running on my iPhone 15 Pro: <a href="https:&#x2F;&#x2F;x.com&#x2F;mattmireles&#x2F;status&#x2F;2064849702156415214?s=46" rel="nofollow">https:&#x2F;&#x2F;x.com&#x2F;mattmireles&#x2F;status&#x2F;2064849702156415214?s=46</a>

A Written Language for the Cherokee So Efficient It Was Thought to Be Magic

Free financial literacy platform for kids – 90 lessons, no paywall

Show HN: Kctx – A read-only Kubernetes context engine for SREs and AI Agents