Tools Bench.

Product launches and open-source repos with enough signal to earn a second look.

Last Brew Time: Jul 2, 2026, 5:29 AM PT

Insight

This run rewards agents that master one high-stakes lane instead of chatting

Featured

GitHub244.0K

An agentic skills framework & software development methodology that works.

Market Signal

Why It Has Market Pull

Superpowers is a platform-agnostic agentic skills-and-methodology framework for Claude Code (and Cursor, Codex, Gemini CLI, and more), created by a well-known open-source developer. It is one of the most-starred projects in the Claude Code ecosystem and was accepted into Anthropic's official plugin marketplace.

  • Around 244,000 GitHub stars and 21,000 forks (verified), among the most-starred projects in the Claude Code ecosystem.
  • Created October 2025 and still highly active, with a v6.1.0 release in June 2026.
  • Accepted into Anthropic's official Claude Code plugin marketplace.
  • Bundles about 14 skills (brainstorming, spec and plan writing, TDD, systematic debugging) and works across Claude Code, Cursor, Codex, and Gemini CLI.
  • Broad third-party coverage, including multiple tutorial write-ups and demo videos.
  • Opinion is split: many report large productivity gains, while some find it adds mistakes or over-structures the workflow.

feedbacks

What People Are Saying

  • "Using Claude Code with Superpowers is so much more productive, and the features it builds are more correct"blog

  • "It uses subagents to adversarially review its own spec and plan; that has caught things I'd have missed"HN comment

  • "The brainstorming skill is great for fleshing out a rough early idea"HN comment

  • "I personally don't like it; I think Claude makes more mistakes with it than without"HN comment

  • "I don't like the separation of spec and plan; models are good enough to get straight to coding"HN comment

  • "The single biggest productivity change to my Claude Code workflow since the agent shipped"blog

GitHub44.9K

Chrome DevTools for coding agents

Market Signal

Why It Has Market Pull

chrome-devtools-mcp is Google's official Chrome DevTools team project that lets coding agents drive and inspect a real Chrome through the Model Context Protocol. It reached roughly 45,000 GitHub stars within its first year and ships on a steady release cadence, making it one of the most-adopted agent browser bridges available.

  • Around 45,000 GitHub stars and 2,900 forks, accrued in roughly ten months since its September 2025 launch.
  • Owned by the official ChromeDevTools org (Google's Chrome team) under an Apache-2.0 license.
  • About 99 contributors and roughly 55 releases, reaching a stable 1.x line (latest v1.4.0).
  • Actively developed, with commits landing the same week it was reviewed.
  • Built on Puppeteer and CDP, giving agents a first-party bridge to inspect JS-rendered pages, console, and network.
  • A well-noted caveat: it is a heavy context consumer (thousands of tokens per page) and setup requires launching Chrome with debug flags.

feedbacks

What People Are Saying

  • "Chrome DevTools is an extremely high-value MCP for me"HN comment

  • "Full mode uses about 18,000 tokens before the agent writes a line of code"HN comment

  • "Genuinely useful having an assistant that can look at your screen and debug live pages"blog

  • "It's powerful, but expensive on tokens"blog

  • "Perfect in theory, brutal in practice"Dev.to article

  • "Best when you need to debug performance issues, console errors, or network requests"blog

  • "Relaunching Chrome with special flags every session is a chore"Dev.to article

GitHub30.9K

Open-source AI penetration testing tool to find and fix your app’s vulnerabilities.

Market Signal

Why It Has Market Pull

Strix is a fast-rising open-source AI penetration-testing agent from a funded startup, pairing a large open-source community with a paid enterprise platform. It sits in the differentiated autonomous-AI-hacker category and is actively maintained.

  • 31k+ GitHub stars with 3.3k forks under an Apache-2.0 license, a large community for a security tool launched in 2025.
  • Actively maintained, with a v1.0.4 release in June 2026 and ongoing versioned releases.
  • Backed by a startup (strix.ai) with an enterprise platform layered on the open-source core.
  • Covered by trade press and multiple independent demo videos and write-ups.
  • Show HN reached around 100 points; the Product Hunt launch earned 191 upvotes at 4.5/5.
  • Independent, hands-on validation beyond vendor-adjacent blogs is still moderate, and some adoption claims are self-reported.

feedbacks

What People Are Saying

  • "It feels like having an AI pentester built into your workflow"Product Hunt comment

  • "Report took about an hour overall for me, and it was pretty complete and accurate"Product Hunt comment

  • "This is a neat project with a huge amount of potential"HN comment

  • "It requires a higher burden of proof that it actually works beyond toy problems"HN comment

  • "Confirmed a blind SQL injection with timing-based confirmation on a test app"review blog

  • "Average scan costs a few dollars in API calls versus $500/month SaaS tools"review blog

  • "An AI-written codebase this size would've needed much less testing"HN comment

Market Signal

Why It Has Market Pull

video-use is an open-source project from browser-use (a YC-backed, venture-funded team) that turns a coding agent into a natural-language video editor. Instead of watching raw frames, the agent reads word-level transcripts plus composite images at cut points, a novel design that sharply cuts token cost. It is growing fast, though independent hands-on reviews are still early.

  • 13.5k+ GitHub stars and 1.7k forks in under three months since an April 2026 launch.
  • From browser-use (YC W25), which raised a $17M seed led by Felicis and reached around 50k stars on its flagship project.
  • Reads about 12KB of transcript text plus a few composite images instead of processing millions of raw-frame tokens.
  • Integrates HyperFrames, Remotion, Manim, and PIL for overlays and rendering, all driven by prompts.
  • Early evidence: independent hands-on reviews are still thin, it rides heavily on its parent's name, and there are no tagged releases yet.

feedbacks

What People Are Saying

  • "The single biggest obstacle to AI-driven video editing is that models can't watch video"blog

  • "It uses about 12KB of transcript text plus a handful of images for dramatic token savings"blog

  • "An AI agent controlling FFmpeg, subtitle burners, and animation renderers, all from natural language"blog

  • "Drop raw footage in a folder, let the agent edit it, and get a polished final video with no timeline"blog

  • "The entire edit was just files, with nothing locked inside an app; super cool"news article

  • "It won't replace professional editors tomorrow; it still takes someone who knows the tools"news article

Product Hunt369

Give /automate a task in plain English and it drives a real browser to do it: navigate a site, click through a multi-step flow, fill a form, reach a page that only renders after interaction. The result streams back in one API call. It's an API you call, not a framework you install. Browser and LLM included, nothing to host, no concurrency ceiling. Accessibility-tree automation spends 60 to 80% fewer tokens than screenshot-based agents. Built by Mozilla. Ephemeral, no training on your data.

Market Signal

Why It Has Market Pull

Tabstack is a Mozilla-incubated web-execution API for AI agents: describe a browser task in plain English and it runs the browser and model server-side, returning structured results in one call. It has real momentum across a strong Product Hunt launch, two Show HN threads, and an open-source engine, with a privacy stance of no training on your data.

  • Launched on Product Hunt to roughly 370 upvotes, finishing #3 Product of the Day.
  • Built inside Mozilla's AI incubator (the team behind llamafile), with an official Mozilla product page and repos under the Mozilla GitHub org.
  • Two separate Show HN threads, the main one reaching around 130 points with active maker replies.
  • Ships an open-source automation engine plus a CLI and Python SDK, all public.
  • Usage-based pricing with a 50,000-credit monthly free tier; accessibility-tree automation claims 60-80% fewer tokens than screenshot-based agents.
  • Worth a closer look, though independent long-term usage evidence is still early and some builders question how its robots.txt stance limits scraping.

feedbacks

What People Are Saying

  • "Great tool for structured data extraction, and knowing my data isn't used for training is reassuring"Product Hunt comment

  • "If the task has five steps and it gets stuck on step three, does the response tell you where it stopped?"Product Hunt comment

  • "We used it for our developer adoption score and for enriching user profiles"Product Hunt comment

  • "The escalation logic is a nice optimization"HN comment

  • "Pricing page is hidden behind a registration form. Why?"HN comment

  • "Respecting robots.txt makes this effectively DoA for some use cases"HN comment

  • "What's the difference between mass scraping and an automated tool?"HN comment

Sources

GitHub

224.9K

The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.

Langflow is a powerful tool for building and deploying AI-powered agents and workflows.

A complete AI agency at your fingertips - From frontend wizards to Reddit community ninjas, from whimsy injectors to reality checkers. Each agent is a specialized expert with personality, processes, and proven deliverables.

🪨 why use many token when few token do trick — Claude Code skill that cuts 65% of tokens by talking like caveman

AI-powered job search system built on Claude Code. 14 skill modes, Go dashboard, PDF generation, batch processing.

Product Hunt

534

Type what you need. Hold Acti Bar. Acti understands your intent and brings back the right result, link, or action - right where you are. Use Acti for live sports schedules, nearby restaurants, Notion docs, LinkedIn profiles, Meet links, Calendar actions, and custom workflows - without leaving the conversation.

Today's models are capable enough. Smart enough. Fast enough. But we still feel they don’t fit in the room. Humalike is building the behavioral infrastructure for humanlike AI agents. The social skills & proactiveness your agents have been missing. APIs, models, benchmarks.

Our most agentic Sonnet yet, with top-tier intelligence for coding and everyday professional work.

Adam brings AI CAD assistance into the tools mechanical engineers already use. Create & edit parts with prompts, reference selected geometry, clean up feature trees, and keep everything editable. All natively inside Onshape and Autodesk Fusion.

Email deliverability on autopilot. A subscription-based, AI-native email deliverability service where AI agents and human experts work as an extension of your team to audit your infrastructure, fix issues, monitor email health daily, and improve inbox placement with weekly reporting.

Now Modelence App Builder has support for creating native mobile apps. Just like web apps, describe what you want and get a fully working mobile app, working in sync with your Modelence auth and backend.

Hacker News

A month ago there was a wave of posts and tweets about engineers walking around cafes and parks with their MacBooks propped half-open, as fully closing the lid forces sleep that stops their AI agents. Some people made snarky comments about using tmux or Amphetamine, and some defended their choice with “but I only need it sometimes, and forgetting to disable Amphetamine and finding my laptop discharged in my bag is worse.” This is a solution to this problem. Unlike caffeinate, it will prevent you... (124 points, 79 comments).

Hi HN, I'm Ahmad from the Intuned ( https://intunedhq.com ) team. Today, we're releasing and open-sourcing Selector Forge ( https://selectorforge.ai/ ), a browser extension that generates reliable CSS/XPath selectors using AI. You can use it to create a selector for a single element or for an array of elements. The selectors it creates are meant to be "semantic" and more resilient to page changes than what Chrome DevTool’s “Copy Selector” (and other similar extensions) give you. Those tend to ha... (38 points, 2 comments).

The most common failures for production agents are behavioral: looping, reasoning leakage, user frustration, and more. Using a frontier model like GPT or Sonnet to judge every turn is too expensive and slow to run at scale. To solve this, we built Reflexes: semantic signals from agent traces, served fast and cheap over API. Built on custom kernels and a custom inference engine forked from vLLM. Under the hood, it is a small LLM architected around multi-head inference. Small models need to be tra... (13 points, 2 comments).

We just open-sourced the internal system we built at Assembled for running coding agents as a team. Coding agents worked well for individual engineers, but the surrounding workflow was a bit of a mess. We generally found that many engineers had different MCP connections and context for their agents, personal automations running that other people couldn’t access, and very little introspection for what a human’s input into the coding agent looked like. So we built an internal system that converted... (12 points, 3 comments).

We're a team of three friends who have been working with forms and Open Source for a decade, and we joined forces together to create something where we can apply all of our experience. We recently released GolemUI, an Open Source library to generate forms dynamically from JSON definitions, with a typed layer to simplify authoring. This library has a lot to offer. These are the main characteristics: 1. A JSON engine. The form is governed by a JSON definition that you can store in a DB, version, d... (44 points, 65 comments).

Kshitij and Rahul here. We're building Playground, an open-source sandbox that lets your non-technical teams prototype directly on production codebases, without bugging you (developers) to spin up and maintain another repo. The repo is here: https://github.com/B1u3B01t/design-playground . We've been working together for six years. Last year we built an AI design agent because we thought designers were the biggest bottleneck. But we were wrong. After talking to teams, we realised designers, PMs,... (15 points, 14 comments).

HF Spaces

16.6K likes

Generate any application by Vibe Coding it DeepSite is a Vibe Coding Platform designed to make coding smarter and more efficient. Tailored for developers, data scientists, and AI engineers, it integrates generative AI into your coding projects to enhance creativity and productivity. DeepSite v4 is a Hugging Face Space tagged with docker, region:us. It has 16617 likes on Hugging Face.

5.1K likes

AudioCraft is a PyTorch library for deep learning research on audio generation. AudioCraft contains inference and training code for two state-of-the-art AI generative models producing high-quality audio: AudioGen and MusicGen. Installation AudioCraft requires Python 3.9, PyTorch 2.0.0. To install AudioCraft, you can run the following: We also recommend having ffmpeg installed, either through your system or Anaconda: At the moment, AudioCraft contains the training code and inference code for: MusicGen: A state-of-the-art controllable text-to-music model. AudioGen: A state-of-the-art text-to-sound model. EnCodec: A state-of-the-art high fidelity neural audio codec. Multi Band Diffusion: An EnC...

3.5K likes

Z Image Turbo is a Hugging Face Space tagged with gradio, mcp-server, region:us. It has 3482 likes on Hugging Face.

3.3K likes

Text-to-3D and Image-to-3D Generation > Join our Wechat and Discord group to discuss and find help from us. “ Living out everyone’s imagination on creating and manipulating 3D assets.” Jan 21, 2025: 💬 Enjoy exciting 3D generation on our website Hunyuan3D Studio! Jan 21, 2025: 💬 Release inference code and pretrained models of Hunyuan3D 2.0. Jan 21, 2025: 💬 Release Hunyuan3D 2.0. Please give it a try via huggingface space our official site! We present Hunyuan3D 2.0, an advanced large-scale 3D synthesis system for generating high-resolution textured 3D assets. This system includes two foundation components: a large-scale shape generation model - Hunyuan3D-DiT, and a large-scale texture synthesi...

Track, rank and evaluate open LLMs and chatbots Modern React interface for comparing Large Language Models (LLMs) in an open and reproducible way. 📊 Interactive table with advanced sorting and filtering 🔍 Semantic model search 📌 Pin models for comparison 📱 Responsive and modern interface 🎨 Dark/Light mode ⚡️ Optimized performance with virtualization The project is split into two main parts: React Material-UI TanStack Table & Virtual Express.js FastAPI Hugging Face API Docker The application is containerized using Docker and can be run using: Open LLM Leaderboard is a Hugging Face Space tagged with docker, leaderboard, modality:text, submission:automatic, test:public. It has 14035 likes on Hu...

11.2K likes

Create your own AI comic with a single prompt Last release: AI Comic Factory 1.2 The AI Comic Factory has an official website: aicomicfactory.app For more information about my other projects please check linktr.ee/FLNGR. If you like the AI Comic Factory, let me know! I am always creating new spaces and exploring new ideas for demos, meaning I don't have much time to take care of all of them (I wish I could clone myself or ask robots to do it). If you appreciate the AI Comic Factory and would like to leave a tip, that would be very kind 🫶 First, I would like to highlight that everything is open-source (see here, here, here, here). However the project isn't a monolithic Space that can be dupli...

AI Tools — July 2, 2026 Edition | Agentic Brew