AI Community

A rogue AI led to a serious security incident at Meta

I turned Markdown into a protocol for generative UI

There's a lot of work happening around both generative UI and code execution for AI agents. I kept wondering: how do you bring them together into a fully featured architecture? I built a prototype: - Markdown as protocol — one stream carrying text, executable code, and data - Streaming executio

Show HN: March Madness Bracket Challenge for AI Agents Only

I built a March Madness bracket challenge for AI agents, not humans. The human prompts their agent with the URL, and the agent reads the API docs, registers itself, picks all 63 games, and submits a bracket autonomously. A leaderboard tracks which AI picks the best bracket through the tournament. Th

Launch an autonomous AI agent with sandboxed execution in 2 lines of code

Show HN: Dumped Wix for an AI Edge agent so I never have to hire junior staff

I run a building design consultancy. I got tired of paying Wix $40/month for a brochure that couldn’t answer simple service questions, and me wasting hours on the same FAQs. So I killed it all and spent 4 months building a 'talker': https://axoworks.com The stack is complete

Launch HN: Sitefire (YC W26) – Automating actions to improve AI visibility

Hi HN! We're Vincent and Jochen from sitefire ( https://sitefire.ai ). Our platform makes it easy for brands to improve their visibility in AI search. We’ve been working together for years and have backgrounds in RL/optimization at Stanford and software engineering. We came to th

Show HN: I built a P2P network where AI agents publish formally verified science

I am Francisco, a researcher from Spain. My English is not great so please be patient with me. One year ago I had a simple frustration: every AI agent works alone. When one agent solves a problem, the next agent has to solve it again from zero. There is no way for agents to find each other, share re

Show HN: Soros – AI for geopolitical macro investing

Hi HN! We are Anshuman and Karén, the co-founders of Lookback Labs and the co-designers of Soros ( https://www.asksoros.com/ ). Soros is a compound AI system built carefully from the ground up to trace a path (multiple paths, really) from a description of a geopolitical event all the

Show HN: AI SDLC Scaffold, repo template for AI-assisted software development

I built an open-source repo template that brings structure to AI-assisted software development, starting from the pre-coding phases: objectives, user stories, requirements, architecture decisions. It's designed around Claude Code but the ideas are tool-agnostic. I've been a computer scienc

Are AI Agents like von Hammerstein's industrious and stupid?

"I divide my officers into four classes; the clever, the lazy, the industrious, and the stupid. Each officer possesses at least two of these qualities. Those who are clever and industrious are fitted for the highest staff appointments. Use can be made of those who are stupid and lazy. The man w

Ask HN: Have you cancelled any software subscriptions because AI replaced them?

I went through all my subscriptions recently and haven't cancelled a single one because of AI - neither has my girlfriend. I built some small tools and browser extensions for myself that I use daily. But honestly, I wouldn't have paid for those anyway — maybe a one-time small purchase, but

Show HN: Altimate Code – Open-Source Agentic Data Engineering Harness

I'm Anand, co-founder and CTO of Altimate AI. My co-founder Pradnesh and I are open-sourcing Altimate Code. AMA. Why we built this: Pradnesh and I have been building tooling for data engineers for three years: dbt Power User and Datamates vscode extensions with combined 750k+ installs, running

Show HN: Hopsule – Persistent memory and decision layer for AI development

Hi HN! I'm building Hopsule. If you use AI coding tools like Cursor, Copilot, or Claude, you’ve probably seen this happen: The AI writes good code - but it ignores your architecture. It doesn’t know: - why you chose a specific pattern - which conventions your team agreed on - which decisions ar

Ask HN: The new wave of AI agent sandboxes?

In the last couple of months, several new solutions for sandboxing AI agents have launched (microVMs, WASM runtimes, browser isolation, hardened tool containers, etc.). Curious to hear from people using them in production. Are they working as advertised, or are there still major tradeoffs around sec

We Have 700 AI Agents Playing a Game We Don't Understand

Show HN: Rover – turn any web interface into an AI agent with one script tag

Show HN: MCP Isn't Dead. You're Just Using It Wrong

Everyone and their gran have been saying that MCP is dead. But could it be that MCP's saving grace has been with us all along - hiding in plain sight? A feature buried in Claude Code's Jan 2026 release may have marked the most powerful development in MCP since its inception - and almost no

Ask HN: How are you doing technical interviews in the age of Claude/ChatGPT?

I’m a founder/dev trying to figure out a better way to do technical interviews, because the current state is a nightmare. Right now, every standard take-home or HackerRank/LeetCode test is easily solved by LLMs. As a result, companies are accidentally hiring what we call vibe coders, candi

If you drive clock wise along the beach on an island

Is the ocean to your left or to you right? I asked this question to multiple LLM. ChatGPT: Wrong but reasoned itself back to being correct. Gemini: Correct. Grok: Using expert it got the right answer after 35s. Claude Sonnet 4.6: Confidently incorrect. Screenshots: https://imgur.com/a

Show HN: We built AI agents that reduce mortgage processing from 18 days to 3–5

Most mortgage processing delays aren’t due to risk — they’re due to manual workflows. We’ve been working on SimplAI, an AI-driven system designed for banking and financial services, starting with mortgage operations. The problem we kept seeing: 15–22 day processing timelines Heavy manual document ha

Show HN: Agentic Copilot – Bring Claude Code, OpenCode, Gemini CLI into Obsidian

Obsidian plugin that connects to CLI agents you already have installed. No built-in LLM integration, no API keys to configure in the plugin. It spawns your tool as a child process, pipes vault context into each prompt, and streams responses into a chat panel. Supports Claude Code, Opencode, and any

Show HN: Unsloth Studio - Local Fine-tuning, Chat UI

Hey HN! We're excited to release Unsloth Studio - a culmination of many things we wanted to provide to the community - it includes: 1. A Chat UI which has auto healing tool calling, Python & bash code execution, web search, image, docs input + more! 2. Finetuning of audio, vision, LLMs with

Show HN: Budibase Agents Beta – model-agnostic AI agents for internal workflows

Hi there, Mike here from Budibase. We’ve recently launched AI Agents into Beta, alongside our existing open-source app-building and automation tools. We built Budibase Agents for teams that want to leverage AI within real-world workflows, using their own LLMs, data, and APIs. Because of this, our Ag

Show HN: N0x – LLM inference, agents, RAG, Python exec in browser, no back end

Built this because I was tired of every AI tool shipping my data to someone else server n0x runs the full stack LLM inference via WebGPU, autonomous ReAct agents, RAG over your own docs, sandboxed Python execution via Pyodide all inside a single browser tab. No account No keys No backend Models down

Show HN: Dump – easily share context with AI

I wanted a very simple way to dump prompts, links, and todo lists into my claude code and codex agents. And to work outside of the context window. This works particularly well for sharing "Projects" between Claude/ChatGPT etc. It's open source here; https://github.com&#

Show HN: We Built Kaggle for AI Agents

Humans compete to improve their AI agents on benchmarks. But what if agents could collaborate and compete on their own? We built Hive, a crowdsourced platform where agents can evolve solutions together. One agent begins to tackle a task, iteratively improving its code. Then other agents join. They r

Show HN: Xybrid – run LLM and speech locally in your app (no back end, Rust)

Hi HN, We built Xybrid, a Rust library for running LLM + speech pipelines directly inside your app, no server, no daemon, just one binary. We started building it while working on a privacy-focused LLM app with Tauri and realized there wasn’t a straightforward way to embed models directly into shippe

Show HN: Own your AI's context and memories across every model and device

Hey HN, I pay for ChatGPT, Claude, Cursor, and use Gemini through work. Four vendors, four separate conversation histories, four profiles of how I think. None of them talk to each other. Switch providers and you start over. So I built a system where the memory is mine. I run a knowledge graph in Pos

Show HN: Agent Use Interface (AUI) – let users bring their own AI agent

As I started building AI integrations, I came to realize that for many projects, the the best agentic experience is one that simply enables the user's personal agent to take actions within your app. The existing options like MCP or A2A are quite involved and for simple apps that are already URL

The more I work with AI (LLMs) the more disillusioned I become

Image / Video / Audio Gen. AI is absolutetly impressive but I fail to see how anyone can still believe that LLMs are going to replace every other white-collar job ... let alone lead to AGI. Its 2026 and we have yet to have a LLM complete something as simple as beating Pokemon Blue seems li

Show HN: QCCBot – Android in a browser tab, with AI agent control

Eight months ago I watched a friend manage three walls of phones for his cross-border e-commerce operation — charging, swapping IPs, constantly worrying about bans. I asked myself: do people actually want the boxes, or just the Android environment inside? We built QCCBot to answer that. Full Android

Sexual Harassment by Japan Railways Staff and Japan's Accessibility Barriers

Hello, my name is Hiro. I am working on a concept a platform called “Lemurian Resonance,” which visualizes unfair experiences in daily life as case cards and compiles them into a database, while also helping to heal emotional wounds through AI. While working on this concept, I encountered a serious

TrustAgentAI – Cryptographic receipts for MCP tool calls (non-repudiation layer)

MCP solves connectivity between agents and tools. It doesn't solve accountability. When an AI agent calls execute_wire_transfer today, there's no cryptographic proof it happened, no proof who authorized it, and no tamper-evident record of the outcome. Editable logs and unverified timestamp