Loading video...

Video Failed to Load

There was a problem loading this video. This could be due to a temporary network issue or the video might be unavailable.

Coding agents waste a lot of tokens just figuring out how a site is structured before they can touch it. Map it once instead. Agentmap crawls any site and turns it into a structured map, pages, flows, and the data on each, that any agent loads in one shot.... show more

Hyperbrowser

9,184 subscribers

15,439 views • 28 days ago •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

0 Comments

No comments available

Comments from the original post will appear here

Related Videos

/web Creates a web. md file for any website. Every page, action, flow, and interactive element your coding agent needs to navigate it. AI agents fail on websites because they don't know the structure. Web. md gives them the map before they start ↓

/web Creates a web. md file for any website. Every page, action, flow, and interactive element your coding agent needs to navigate it. AI agents fail on websites because they don't know the structure. Web. md gives them the map before they start ↓

Hyperbrowser

71,707 views • 2 months ago

Your AI agents can now learn entire skill trees from the web. Meet the new HyperSkill Give it a topic. It reads the docs and builds a skill tree your agent can navigate.Browse the graph. Download. Drop into your project. Open source. Powered by Hyperbrowser.

Your AI agents can now learn entire skill trees from the web. Meet the new HyperSkill Give it a topic. It reads the docs and builds a skill tree your agent can navigate.Browse the graph. Download. Drop into your project. Open source. Powered by Hyperbrowser.

Hyperbrowser

95,806 views • 4 months ago

We're building HyperPlex. An open-source research agent that does the work you don't want to do. Give it a goal. It spawns agents, browses, reads, extracts, and returns a cited answer. Schedule it on a cron. Let it run while you sleep. Powered by Hyperbrowser.

We're building HyperPlex. An open-source research agent that does the work you don't want to do. Give it a goal. It spawns agents, browses, reads, extracts, and returns a cited answer. Schedule it on a cron. Let it run while you sleep. Powered by Hyperbrowser.

Hyperbrowser

11,193 views • 5 months ago

Every frontend developer just stopped opening DevTools. Your AI coding agent can now reverse-engineer the entire design system of any website directly from the terminal. Just type: /design And it instantly extracts: • Brand colors • Fonts & typography • Spacing system • Buttons & UI components • Layout patterns • Design tokens Then saves everything into a structured DESIGN.md file your AI agent can understand and reuse. Powered by Hyperbrowser + Claude Code MCP. The crazy part? You can now study, replicate, and rebuild world-class UI systems in minutes instead of wasting hours manually inspecting websites. This changes how vibe coding works forever. Repo👇

divyansh tiwari

78,201 views • 2 months ago

Claude Code is already incredible. We gave it one more superpower. /docs fetch <url> Live docs from any site. Cached in your repo. Right in your terminal. No more coding against outdated docs. Powered by Hyperbrowser MCP.

Claude Code is already incredible. We gave it one more superpower. /docs fetch <url> Live docs from any site. Cached in your repo. Right in your terminal. No more coding against outdated docs. Powered by Hyperbrowser MCP.

Hyperbrowser

299,002 views • 7 months ago

We're excited to launch HyperBookLM. The open-source NotebookLM with web-agents. Simply drop URLs, PDFs & Txt files and, - Ask questions across all your sources - Create structured mind maps - Export to slides in one click - Generate audio summaries you can listen to Open-source & Powered by Hyperbrowser.

We're excited to launch HyperBookLM. The open-source NotebookLM with web-agents. Simply drop URLs, PDFs & Txt files and, - Ask questions across all your sources - Create structured mind maps - Export to slides in one click - Generate audio summaries you can listen to Open-source & Powered by Hyperbrowser.

Hyperbrowser

68,005 views • 7 months ago

We built a neat tool that lets you convert a directory of Powerpoint files into clean, structured markdown - that Claude Code / agent SDK / any generalized agent wrapper can easily understand. The pptx skill in Claude Code is quite basic and doesn’t have high-fidelity understanding over graphics/charts/tables. Our project Surreal Slides uses LlamaParse to convert presentations into clean structured data that you can put into a db (SurrealDB) for simple retrieval, without having to take screenshots of the data on the fly. Thanks to Clelia Bertelli (🦙/acc) for this project, check it out:

We built a neat tool that lets you convert a directory of Powerpoint files into clean, structured markdown - that Claude Code / agent SDK / any generalized agent wrapper can easily understand. The pptx skill in Claude Code is quite basic and doesn’t have high-fidelity understanding over graphics/charts/tables. Our project Surreal Slides uses LlamaParse to convert presentations into clean structured data that you can put into a db (SurrealDB) for simple retrieval, without having to take screenshots of the data on the fly. Thanks to Clelia Bertelli (🦙/acc) for this project, check it out:

Jerry Liu

39,872 views • 4 months ago

🚨 Someone just built a Claude Code skill that clones any website perfectly in one prompt. It uses the built-in Chrome MCP to go straight to the source. It pulls the exact fonts, colors, and layout directly from the browser. 100% Open Source.

🚨 Someone just built a Claude Code skill that clones any website perfectly in one prompt. It uses the built-in Chrome MCP to go straight to the source. It pulls the exact fonts, colors, and layout directly from the browser. 100% Open Source.

Oliver Prompts

473,746 views • 4 months ago

Your AI agents can now explore knowledge infinitely. The new HyperGraph. Type a topic. Get a skill graph. Click any node to go deeper. Watch new concepts bloom in real time. Start with one idea. End with a complete knowledge base. Open source. Powered by Hyperbrowser.

Your AI agents can now explore knowledge infinitely. The new HyperGraph. Type a topic. Get a skill graph. Click any node to go deeper. Watch new concepts bloom in real time. Start with one idea. End with a complete knowledge base. Open source. Powered by Hyperbrowser.

Hyperbrowser

11,243 views • 4 months ago

/harness A Claude Code plugin built for Fable 5. It runs your agent against your project, watches it break, and writes a CLAUDE. md from the actual failures. It catches wrong paths, missing scripts, and bad assumptions so your agent never hits the same wall twice ↓

/harness A Claude Code plugin built for Fable 5. It runs your agent against your project, watches it break, and writes a CLAUDE. md from the actual failures. It catches wrong paths, missing scripts, and bad assumptions so your agent never hits the same wall twice ↓

Hyperbrowser

77,831 views • 1 month ago

Someone built a new research page builder called HyperPages. It turns any topic into a complete article with sources, images, and interactive editing. It searches the web, gathers sources, generates structured sections, adds images, and formats everything automatically. Open source and built on top of Hyperbrowser.

Someone built a new research page builder called HyperPages. It turns any topic into a complete article with sources, images, and interactive editing. It searches the web, gathers sources, generates structured sections, adds images, and formats everything automatically. Open source and built on top of Hyperbrowser.

AshutoshShrivastava

23,585 views • 6 months ago

$THIS MIGHT BE THE #1 OPEN-SOURCE REPO FOR CLAUDE CODE RIGHT NOW. IT GIVES CLAUDE A MEMORY AND SLASHES YOUR TOKEN COST ON EVERY QUESTION The repo is safishamsi/graphify, a free open-source skill that turns any codebase into a knowledge graph Claude Code can read instantly. Instead of grepping through your files every session, Claude gets a map of how everything connects The problem it fixes: Every time you ask Claude Code about a big repo, it does the same thing, greps through dozens of files like a brute-force Ctrl+F, blows through your context window, and sometimes still misses the answer hiding in a file nobody searched. Claude Code has no memory of how your project is structured. Every session starts from zero What it does: It maps your entire codebase into a knowledge graph, capturing not just which files exist, but which functions depend on which, which modules are central, and which files cluster around the same concern. Claude queries the map instead of scanning files How it works, three passes: 1. Code structure, free and local. Tree-sitter parses your files and pulls out classes, functions, imports and call graphs. No LLM, no tokens, just your actual code mapped deterministically 2. Audio and video, if you have them. Transcribed locally and folded into the graph 3. Docs, papers, images. Here an LLM does semantic analysis, figuring out what each document means and where it fits. Only the meaning gets sent up, never your raw source It saves you money: Normally a question about a big repo makes Claude spawn explore agents that scan file after file, eating your context window and your token budget before you get an answer. With the graph already built, Claude queries the map instead of re-reading the codebase every time. Same answer, a fraction of the tokens. The graph only gets built once, then a hook rebuilds it after each commit for free, so you never pay that scanning cost again. The bigger the repo, the bigger the gap The best parts: it's a skill, so once installed Claude knows when to use it without you memorizing commands. It works on non-code folders too, point it at docs or notes and it can spin up an Obsidian vault How to add it to your Claude: 1. Install Claude Code if you haven't: npm install -g Paul Jankura-ai/claude-code 2. Add the skill: claude skill add safishamsi/graphify 3. Open your project folder and run /graphify . to build the graph 4. Optional, make it automatic: graphify hook install so the graph rebuilds after every commit That's it. Ask Claude about your repo and it reads the map instead of burning tokens on a file hunt Bookmark this$

THIS MIGHT BE THE #1 OPEN-SOURCE REPO FOR CLAUDE CODE RIGHT NOW. IT GIVES CLAUDE A MEMORY AND SLASHES YOUR TOKEN COST ON EVERY QUESTION The repo is safishamsi/graphify, a free open-source skill that turns any codebase into a knowledge graph Claude Code can read instantly. Instead of grepping through your files every session, Claude gets a map of how everything connects The problem it fixes: Every time you ask Claude Code about a big repo, it does the same thing, greps through dozens of files like a brute-force Ctrl+F, blows through your context window, and sometimes still misses the answer hiding in a file nobody searched. Claude Code has no memory of how your project is structured. Every session starts from zero What it does: It maps your entire codebase into a knowledge graph, capturing not just which files exist, but which functions depend on which, which modules are central, and which files cluster around the same concern. Claude queries the map instead of scanning files How it works, three passes: 1. Code structure, free and local. Tree-sitter parses your files and pulls out classes, functions, imports and call graphs. No LLM, no tokens, just your actual code mapped deterministically 2. Audio and video, if you have them. Transcribed locally and folded into the graph 3. Docs, papers, images. Here an LLM does semantic analysis, figuring out what each document means and where it fits. Only the meaning gets sent up, never your raw source It saves you money: Normally a question about a big repo makes Claude spawn explore agents that scan file after file, eating your context window and your token budget before you get an answer. With the graph already built, Claude queries the map instead of re-reading the codebase every time. Same answer, a fraction of the tokens. The graph only gets built once, then a hook rebuilds it after each commit for free, so you never pay that scanning cost again. The bigger the repo, the bigger the gap The best parts: it's a skill, so once installed Claude knows when to use it without you memorizing commands. It works on non-code folders too, point it at docs or notes and it can spin up an Obsidian vault How to add it to your Claude: 1. Install Claude Code if you haven't: npm install -g Paul Jankura-ai/claude-code 2. Add the skill: claude skill add safishamsi/graphify 3. Open your project folder and run /graphify . to build the graph 4. Optional, make it automatic: graphify hook install so the graph rebuilds after every commit That's it. Ask Claude about your repo and it reads the map instead of burning tokens on a file hunt Bookmark this

Yarchi

55,345 views • 1 month ago

Introducing --agent flag in CodeRabbit CLI 🎉 The new --agent flag turns CodeRabbit into a tool your AI agent can use, providing structured JSON output instead of terminal text. Your agent writes code, CodeRabbit reviews it, reads the JSON, and fixes what's flagged.

Introducing --agent flag in CodeRabbit CLI 🎉 The new --agent flag turns CodeRabbit into a tool your AI agent can use, providing structured JSON output instead of terminal text. Your agent writes code, CodeRabbit reviews it, reads the JSON, and fixes what's flagged.

CodeRabbit

22,404 views • 3 months ago

Bash is all you need! Which is why I'm introducing my holiday project: just-bash just-bash is a pretty complete implementation of bash in TypeScript designed to be used as a bash tool by AI agents. Because it turns out agents love exploring data via shell scripts, even beyond coding. It comes with grep, sed, awk and the 99th percentile features that an agent like Claude Code or Cursor would use. In fact, Claude Code can use it for secure bash execution. In the package - A bash-tool for AI SDK - A binary for use by yourself or your coding agents - An overlay filesystem to feed files to your agent securely - A Vercel Sandbox compatible API, so you can quickly upgrade to a real VM if you need to run binaries - An example AI agent that explores the just-bash code base using just-bash - I imported the Oils shell bash compatibility suite and just-bash passes a very good chunk What is interesting about this codebase: It was essentially entirely written by Opus 4.5. Coding agents love bash and they are good at reproducing it. They are also great at text-book recursive descent parsers and AST tweet-walk interpreters. That said, it is, like, a lot of code and I didn't read it all 😅. This is very much a hack, but it also seems to be _really_ useful. I haven't really found anything agents want to use that it doesn't support and it's fast and secure (caveats apply). It doesn't have write access to your computer and the filesystem is given a root that the agent cannot escape from. Find it at Related: Our recent blog post how we migrated our data analysis agent to bash tools and achieved incredible quality improvements The video shows the example agent investigating the just-bash code base

Bash is all you need! Which is why I'm introducing my holiday project: just-bash just-bash is a pretty complete implementation of bash in TypeScript designed to be used as a bash tool by AI agents. Because it turns out agents love exploring data via shell scripts, even beyond coding. It comes with grep, sed, awk and the 99th percentile features that an agent like Claude Code or Cursor would use. In fact, Claude Code can use it for secure bash execution. In the package - A bash-tool for AI SDK - A binary for use by yourself or your coding agents - An overlay filesystem to feed files to your agent securely - A Vercel Sandbox compatible API, so you can quickly upgrade to a real VM if you need to run binaries - An example AI agent that explores the just-bash code base using just-bash - I imported the Oils shell bash compatibility suite and just-bash passes a very good chunk What is interesting about this codebase: It was essentially entirely written by Opus 4.5. Coding agents love bash and they are good at reproducing it. They are also great at text-book recursive descent parsers and AST tweet-walk interpreters. That said, it is, like, a lot of code and I didn't read it all 😅. This is very much a hack, but it also seems to be _really_ useful. I haven't really found anything agents want to use that it doesn't support and it's fast and secure (caveats apply). It doesn't have write access to your computer and the filesystem is given a root that the agent cannot escape from. Find it at Related: Our recent blog post how we migrated our data analysis agent to bash tools and achieved incredible quality improvements The video shows the example agent investigating the just-bash code base

Malte Ubl

124,713 views • 7 months ago

I just found a web agent framework built specifically for LLMs. It turns any site into clean, agent-ready text. Any LLM can now act on the web. It’s called Notte, and it changes everything. Let me show you how:

I just found a web agent framework built specifically for LLMs. It turns any site into clean, agent-ready text. Any LLM can now act on the web. It’s called Notte, and it changes everything. Let me show you how:

Markandey Sharma

52,026 views • 1 year ago

You can now use TinyFish in Grok Build. Search, Fetch, Agent, and Browser all under one plugin inside SpaceXAI's coding agent. Give Grok Build a real connection to the live web and let it work across any site from your terminal.

You can now use TinyFish in Grok Build. Search, Fetch, Agent, and Browser all under one plugin inside SpaceXAI's coding agent. Give Grok Build a real connection to the live web and let it work across any site from your terminal.

TinyFish

193,384 views • 5 days ago

Introducing EvoSkill V1, an open-source toolkit that takes a benchmark and a coding agent, and evolves it into a state-of-the-art specialist in minutes. Here’s all you need to start evolving, starting with your Claude Code ↓

Introducing EvoSkill V1, an open-source toolkit that takes a benchmark and a coding agent, and evolves it into a state-of-the-art specialist in minutes. Here’s all you need to start evolving, starting with your Claude Code ↓

Sentient

30,007 views • 3 months ago

xAI open-sourced the algorithm that scores every tweet on X. 19 engagement signals. Replies 13.5x. Reposts 20x. Bookmarks 10x. We built PhoenixScore. Paste a tweet. It runs through the algorithm and shows you exactly how it scores. Open source. Powered by Hyperbrowser.

xAI open-sourced the algorithm that scores every tweet on X. 19 engagement signals. Replies 13.5x. Reposts 20x. Bookmarks 10x. We built PhoenixScore. Paste a tweet. It runs through the algorithm and shows you exactly how it scores. Open source. Powered by Hyperbrowser.

Hyperbrowser

55,796 views • 2 months ago

Built a small research playground with Nimble API. You enter a prompt: → Research OpenAI competitors → Find AI startups in (Any country of your choice) → Analyze the AI coding agent market The app turns it into a structured research report with summaries, findings, and source cards. Here's the workflow 👇

Built a small research playground with Nimble API. You enter a prompt: → Research OpenAI competitors → Find AI startups in (Any country of your choice) → Analyze the AI coding agent market The app turns it into a structured research report with summaries, findings, and source cards. Here's the workflow 👇

Kaitee

35,212 views • 1 month ago

Claude Code now supports agent teams (in research preview) Instead of a single agent working through a task sequentially, a lead agent can delegate to multiple teammates that work in parallel to research, debug, and build while coordinating with each other. Try it out today by enabling agent teams in your settings.json!

Claude Code now supports agent teams (in research preview) Instead of a single agent working through a task sequentially, a lead agent can delegate to multiple teammates that work in parallel to research, debug, and build while coordinating with each other. Try it out today by enabling agent teams in your settings.json!

Lydia Hallie ✨

1,443,017 views • 5 months ago