🛠️ All DevTools

[Other] Show HN: Cabinet – Kb+LLM (Like Paperclip+Obsidian) Hi HN,<p>for quite some time I&#x27;ve been thinking how LLMs are missing the knowledge base, where I can dump CSVs, PDFs, and most important, inline web app. running on Claude Code (bring your own agent) with agents with heartbeats and jobs<p><a href="https:&#x2F;&#x2F;runcabinet.com" rel="nofollow">https:&#x2F;&#x2F;runcabinet.com</a><p>It runs locally and is installable via npm. GitHub (open source): <a href="https:&#x2F;&#x2F;github.com&#x2F;hilash&#x2F;cabinet" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;hilash&#x2F;cabinet</a><p>This is still very early. I put the first version together quickly after seeing a post by Andrej Karpathy about LLM knowledge bases, which matched closely with what I’d been building. Some people have already started trying it and opening PRs, which has been encouraging (got 374 stars in 2 days :] )<p>If useful: Waitlist for a hosted version: <a href="https:&#x2F;&#x2F;runcabinet.com&#x2F;waitlist" rel="nofollow">https:&#x2F;&#x2F;runcabinet.com&#x2F;waitlist</a> Discord (small, but growing): <a href="https:&#x2F;&#x2F;discord.gg&#x2F;rxd8BYnN" rel="nofollow">https:&#x2F;&#x2F;discord.gg&#x2F;rxd8BYnN</a><p>Would really appreciate feedback: does this “KB + agents” model make sense? what would you expect from a system like this? where does this fall apart? Happy to answer anything.<p>Hila

[Other] AI agent toolkit: coding agent CLI, unified LLM API, TUI & web UI libraries, Slack bot, vLLM pods

[Other] Show HN: Bb – Windows API viewer for hackers, in the browser

[Other] Show HN: OsintRadar – Curated directory for osint tools A project which groups together curated open source intelligence tools, frameworks, and techniques.

[Other] Show HN: Dev Personality Test Was curious how a personality test would look for developers. So created this using FastAPI, HTMX, and AlpineJS.

[Other] Show HN: M. C. Escher spiral in WebGL inspired by 3Blue1Brown The latest 3Blue1Brown video [1] about the M. C. Escher print gallery effect inspired me to re-implement the effect as WebGL fragment shader on my own.<p>[1]: <a href="https:&#x2F;&#x2F;www.youtube.com&#x2F;watch?v=ldxFjLJ3rVY" rel="nofollow">https:&#x2F;&#x2F;www.youtube.com&#x2F;watch?v=ldxFjLJ3rVY</a>

[Other] Show HN: DocMason – Agent Knowledge Base for local complex office files I think everyone has already read Karpathy&#x27;s Post about LLM Knowledge Bases. Actually for recent weeks I am already working on agent-native knowledge base for complex research (DocMason). And it is purely running in Codex&#x2F;Claude Code. I call this paradigm is: The repo is the app. Codex is the runtime.<p>During my daily working life, I have tons of office documents with knowledge from all teams, and as an IT Architect, I need to combine them altogether to handle complex deep research (which normal LLM definitely could not help). That is the originally reason I built DocMason, and I am using it in everyday which support me on lots of complex topics.<p>I have already open-sourced this repo. And I think it takes Karpathy&#x27;s concept a step further for real-world usage in three ways: 1. It could handle most kinds of office docs (pptx, docx, excels, even .eml). And really extract multimodal information from all IT architecture diagram or excel sheets. 2. It is running as a Real APP but not a naive RAG tool. DocMason could run smoothly and intelligently to prepare environment, auto update, and auto incrementally sync Knowledge base. 3. Most importantly it is running in Native AI Agents, which could leverage powerful AI Agents engine (e.g. Codex or Claude Code)<p>View detail architecture diagram in DocMason Readme, and then download have a try :) You will find it could help a lot during daily work. Would love to hear your feedback and issues in Github!

[Other] Show HN: sllm – Split a GPU node with other developers, unlimited tokens Running DeepSeek V3 (685B) requires 8×H100 GPUs which is about $14k&#x2F;month. Most developers only need 15-25 tok&#x2F;s. sllm lets you join a cohort of developers sharing a dedicated node. You reserve a spot with your card, and nobody is charged until the cohort fills. Prices start at $5&#x2F;mo for smaller models.<p>The LLMs are completely private (we don&#x27;t log any traffic).<p>The API is OpenAI-compatible (we run vLLM), so you just swap the base URL. Currently offering a few models.

[Other] Show HN: I made open source, zero power PCB hackathon badges I love getting cool swag from hackathons and I also love designing PCB&#x27;s, so when my friend asked me if I would design hackathon badges for a large game jam in singapore, I was absolutely down!<p>The theme of overglade was a &quot;The game jam within a game&quot;, pretty cool concept right! High schoolers from around the world were flown out to the event by hackclub after they spent about 70 hours designing their own game.<p>These badges needed to be really cheap and simple, because we were going to manufacture about a hundred in a pretty limited amount of time. I went with a zero-power approach, which means sticking with e-inks, and I decided to include NFC if the organizers wanted to introduce it into the roleplay of the event, and so participants could add their website or github if they so choose!<p>I used an RP2040-based architecture because it&#x27;s really easy and cheap to get on the first try, and then added an ST25 passive NFC tag which was really simple to configure. The badge is in the shape of a ticket, because you got a &quot;ticket&quot; to the event after spending a lot of time designing games to qualify! 20 GPIO&#x27;s are broken out onto the edges if you&#x27;re ever in a pinch at a hackathon, and I wanted the badges to feel really fun so there&#x27;s a lot of art designed by various people in the community!<p>The badge worked really well and I learned quite a lot in the process. My takeaways are to manufacture a BUNCH of extra badges, because some will end up breaking; to think about your PCB in 3D, because one of the inductors was a bit tall and caused more badges to break; and to have a strong vision of your final product, because it really helped me to create something unique and beautiful :D<p>I like to journal about all my projects, so if you&#x27;d like to read my full design process, feel free to take a look at my journal (<a href="https:&#x2F;&#x2F;github.com&#x2F;KaiPereira&#x2F;Overglade-Badges&#x2F;blob&#x2F;master&#x2F;JOURNAL.md" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;KaiPereira&#x2F;Overglade-Badges&#x2F;blob&#x2F;master&#x2F;J...</a>). If you also have any questions or feedback, I&#x27;d be happy to answer them!

[Other] Show HN: Tokencap – Token budget enforcement across your AI agents I built this after hitting the same wall repeatedly — no good way to enforce token budgets in application code. Provider caps are account-level and tell you what happened, not what is happening.<p>Two ways to add it:<p><pre><code> # Direct client wrapper client = tokencap.wrap(anthropic.Anthropic(), limit=50_000) # LangChain, CrewAI, AutoGen, etc. tokencap.patch(limit=50_000) </code></pre> Four actions at configurable thresholds: WARN, DEGRADE (transparent model swap), BLOCK, and WEBHOOK. SQLite out of the box, Redis for multi-agent setups.<p>One design decision worth mentioning: tokencap tracks tokens, not dollars. Token counts come directly from the provider response and never drift with pricing changes.<p>Happy to answer any questions.

[Other] Components of a Coding Agent

[CLI Tool] Show HN: Ownscribe – local meeting transcription, summarization and search ownscribe is an open-source, python-based CLI tool to transcribe, summarize, and search meetings – fully locally on your machine.<p>As someone who hates taking notes, but also forgets things easily, I found the idea of transcribing and summarizing meetings automatically neat. However, all the existing tools out there store everything on their servers, don&#x27;t work with every type of meeting, and cost $30&#x2F;month or more.<p>I wanted a tool that just runs locally and uses a very simple format (like .md) to integrate with my other workflows – but there wasn&#x27;t anything like that. That&#x27;s why I started to build ownscribe over the past few months and continuously improved it. It started as just a tool for transcription and summarization, and now even allows you to search past meetings with natural language (and a local LLM).<p>At the moment, it is mainly optimised for macOS (although Linux should also partially work). I&#x27;d love to have some more feedback on how to make it more useful!

[Other] an open source, extensible AI agent that goes beyond code suggestions - install, execute, edit, and test with any LLM

[Other] Show HN: Pluck – Copy any UI from any website, paste it into AI coding tools

[Other] Embarrassingly simple self-distillation improves code generation

[Other] Claude Code Found a Linux Vulnerability Hidden for 23 Years

[Other] How to Write Unmaintainable Code (1999)

[Other] Run Linux containers on Android, no root required

[DevOps] Show HN: Run Claude Code autonomously inside your Docker Compose stack (OSS) Claude Code&#x27;s --dangerously-skip-permissions flag lets agents run without interruption, but it needs a sandboxed environment to be safe.<p>dangerously is an open source tool that spins up an isolated container and runs Claude Code inside it — file system changes are restricted to your project directory.<p>The new version detects your docker-compose.yml and spins up your full service stack alongside Claude Code, so the agent can test against real dependencies — databases, queues, whatever your app needs.<p>npm install -g dangerously

[Other] Show HN: Ismcpdead.com – Live dashboard tracking MCP adoption and sentiment Built this to track the ongoing debate around Model Context Protocol - whether it&#x27;s gaining real traction or just hype. Pulls live data from GitHub, HN, Reddit and a few other sources. Curious what the HN crowd thinks given how active the MCP discussion has been here.