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마지막 업데이트: Mar 21, 09:30 PM
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- 1지멘스, 에이전틱AI 기반 반도체 설계 및 검증 솔루션 ‘퀘스타 원 에이전틱 툴킷’ 발표
trensee 편집팀:지멘스 디지털 인더스트리 소프트웨어(Siemens Digital Industries Software) EDA 사업부는 자사의 '퀘스타 원(Questa™ One) 스마트 검증 소프트웨어 포트폴리오에 에이전틱 인공지능(AI) 워크플로우를 적용하여 반도체 설계 검증 작업을 혁신하는 ‘퀘스타 원 에이전틱 툴킷(Questa One Agentic Toolkit)’을…
- 2브라우저‧파일 자동 조작을…무료 AI 에이전트 공개
trensee 편집팀:에이전트 제로(Agent Zero)는 사용자 지시에 따라 OS를 도구로 활용하고 정보 수집, 코드 실행, 다른 에이전트와의 협업 등을 통해 작업 달성을 목표로 하는 오픈소스 개인용 AI 에이전트 프레임워크다. 에이전트 제로는 특정 용도에 맞게 미리 고정된 에이전트가 아니라 범용 개인 비서로 설계됐다. 사용자가 작업을 부여하면 정보를 수집하고 명령이나 코드를…
- 3Codex 서브에이전트 136개 모음집: awesome-codex-subagents
trensee 편집팀:Codex에 바로 붙이는 136개짜리 서브에이전트 모음, 구글이 새로 꺼낸 AI 디자인 캔버스 Stitch, 그리고 Anthropic이 내부에서 수백 개의 스킬을 운용하며 쌓은 노하우까지. 범용 AI 하나에 모든 걸 맡기는 방식에서 구조화된 에이전트 팀으로 넘어가는 흐름을 이번 주 세 가지로 정리했습니다.
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
Launch HN: Canary (YC W26) – AI QA that understands your code
Hey HN! We're Aakash and Viswesh, and we're building Canary ( https://www.runcanary.ai ). We build AI agents that read your codebase, figure out what a pull request actually changed, and generate and execute tests for every affected user workflow. Aakash and I previously built AI
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
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: 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
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: Local Document Parsing for Agents
Meta is having trouble with rogue AI agents
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
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
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
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: LiteParse, a fast open-source document parser for AI agents
LiteParse is an open-source (Apache 2.0) document parser that provides high-quality spatial text parsing with bounding boxes. It does not depend on local or frontier VLMs. Because it does not require GPUs, liteparse can be run on any machine, and process a few hundred pages of documents in seconds.
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
GopherHole – A universal hub for AI agent-to-agent communication
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: 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: 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: 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
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: Syne – AI agent that remembers everything, built on PostgreSQL
I built Syne because I was tired of AI assistants that forget everything after each conversation. Syne is a self-hosted AI agent framework where memory is a first-class citizen — stored as semantic vectors in PostgreSQL, searchable across millions of entries, and persistent forever. Key features: -
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
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