正在加载视频...

视频加载失败

加载此视频时出现问题。这可能是由于临时网络问题，或视频可能不可用。

/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

9,071 subscribers

71,707 次观看 • 2 个月前 •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

0 条评论

暂无评论

原始帖子的评论将显示在这里

相关视频

Your agents suck when using the web because 85% of it doesn't have an API. Browserbase gives them everything they need to do work online. Leading AI companies like Ramp, Lovable, and Clay trust us to power agents that do real work on behalf of real people. With a single API key, your agent gets everything it needs to navigate the wild web: browsers, search, fetch, identity, a sandbox runtime, and model gateway. Stop waiting on integrations, build agents that can browse and interact with the web just like humans.

Your agents suck when using the web because 85% of it doesn't have an API. Browserbase gives them everything they need to do work online. Leading AI companies like Ramp, Lovable, and Clay trust us to power agents that do real work on behalf of real people. With a single API key, your agent gets everything it needs to navigate the wild web: browsers, search, fetch, identity, a sandbox runtime, and model gateway. Stop waiting on integrations, build agents that can browse and interact with the web just like humans.

Paul Klein IV

1,728,748 次观看 • 3 个月前

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. claude code, cursor, a browser agent, all of them skip the blind exploration and go straight to the task. Open source, powered by hyperbrowser ↓

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. claude code, cursor, a browser agent, all of them skip the blind exploration and go straight to the task. Open source, powered by hyperbrowser ↓

Hyperbrowser

15,439 次观看 • 29 天前

Introducing web-agent, an open framework for building web agents 🔥 Build AI agents that search, scrape, and interact with the web - powered by the same architecture behind our /agent endpoint. 100% open source. Bring any model. Anthropic, OpenAI, or your own.

Introducing web-agent, an open framework for building web agents 🔥 Build AI agents that search, scrape, and interact with the web - powered by the same architecture behind our /agent endpoint. 100% open source. Bring any model. Anthropic, OpenAI, or your own.

Firecrawl

123,675 次观看 • 3 个月前

Introducing Tidewave Web for Rails and Phoenix: a coding agent that runs in the browser alongside your web application, with full page and code context. Tidewave deeply integrates with your stack, from the database to the UI, making AI development more seamless and efficient.

Introducing Tidewave Web for Rails and Phoenix: a coding agent that runs in the browser alongside your web application, with full page and code context. Tidewave deeply integrates with your stack, from the database to the UI, making AI development more seamless and efficient.

José Valim

101,232 次观看 • 11 个月前

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 次观看 • 4 个月前

INTRODUCING Notte Building the agentic internet with the strongest web browser for LLM agents. We transform ANY webpage into structured text, enabling better web understanding and navigation. Plug any LLM to to build your own AI agent

INTRODUCING Notte Building the agentic internet with the strongest web browser for LLM agents. We transform ANY webpage into structured text, enabling better web understanding and navigation. Plug any LLM to to build your own AI agent

Notte

225,216 次观看 • 1 年前

What if AI agents could hunt for yield on the web? We built a small demo using the TinyFish Web Agent API The agent navigates websites, executes multi-step research workflows, completely autonomously. Exciting for the future of autonomous yield strategies. #TinyFishAccelerator #BuildInPublic

What if AI agents could hunt for yield on the web? We built a small demo using the TinyFish Web Agent API The agent navigates websites, executes multi-step research workflows, completely autonomously. Exciting for the future of autonomous yield strategies. #TinyFishAccelerator #BuildInPublic

YieldFi

10,901 次观看 • 5 个月前

🌊Introducing Flow, your personalized page, living on the web. You can visit a friend's page and create a customized email inbox. Let AI summarize your email and search the web in real time. Flow is coming soon. Join the waitlist →

🌊Introducing Flow, your personalized page, living on the web. You can visit a friend's page and create a customized email inbox. Let AI summarize your email and search the web in real time. Flow is coming soon. Join the waitlist →

Flow

21,939 次观看 • 3 年前

Your AI agents become far more powerful when they can scrape the web but most people don't know how to set it up properly... well, in this 23 min video, i teach you everything you need to know about web scraping

Your AI agents become far more powerful when they can scrape the web but most people don't know how to set it up properly... well, in this 23 min video, i teach you everything you need to know about web scraping

David Ondrej

80,841 次观看 • 6 个月前

StableBrowse is a new browser layer for AI agents. They enable agents to navigate the web with 70% fewer tokens and 3-4x faster execution. Congrats on the launch, Deepit Shah, Jay Mehta, Sarthak Awasthi, and Somansh Shah!

StableBrowse is a new browser layer for AI agents. They enable agents to navigate the web with 70% fewer tokens and 3-4x faster execution. Congrats on the launch, Deepit Shah, Jay Mehta, Sarthak Awasthi, and Somansh Shah!

Y Combinator

35,155 次观看 • 2 个月前

Give your AI agents access to the entire live web. Web Search, Fetch, Browser, and Agent. Four web primitives. One API key. Every layer built in-house. And we're just getting started! Sign up at and get 500 steps. No credit card.

Give your AI agents access to the entire live web. Web Search, Fetch, Browser, and Agent. Four web primitives. One API key. Every layer built in-house. And we're just getting started! Sign up at and get 500 steps. No credit card.

TinyFish

436,781 次观看 • 3 个月前

Your AI agents can now learn new skills from the web. And update them automatically. /learn stripe-payments Searches the docs. Scrapes the pages. No more outdated skills. Powered by Hyperbrowser, Setup Guide ↓

Your AI agents can now learn new skills from the web. And update them automatically. /learn stripe-payments Searches the docs. Scrapes the pages. No more outdated skills. Powered by Hyperbrowser, Setup Guide ↓

Hyperbrowser

788,026 次观看 • 6 个月前

Introducing the new Firecrawl CLI 🔥 The toolkit for agents to scrape, search, and browse the web. - Scrape clean data from any page - Search the web and get full results back - Spin up cloud browsers for interactive flows npx -y firecrawl-cli@latest init --all --browser

Introducing the new Firecrawl CLI 🔥 The toolkit for agents to scrape, search, and browse the web. - Scrape clean data from any page - Search the web and get full results back - Spin up cloud browsers for interactive flows npx -y firecrawl-cli@latest init --all --browser

Firecrawl

356,394 次观看 • 4 个月前

New Short Course: Building AI Browser Agents! Learn how to build AI agents that interact and take actions on websites in this course, created in partnership with and taught by and @namangarg0, Co-founders of AGI Inc. AI browser agents can log into websites, fill out forms, click through web pages, or even place orders online for you. They use both visual information, like screenshots, and structural data, like the HTML or Document Object Model (DOM) of a web page, to reason and take action. With the complexity of webpages and multiple possible actions at each step, it can be challenging for an AI browser agent to complete an assigned task. Because these agents run long action sequences, a single error—like clicking the wrong button or misreading a field—can lead to unexpected outcomes or errors that compound over time. In this course, you'll understand how autonomous web agents work, their current limitations, and how AgentQ enables them to improve through self-correction. In detail, you'll: - Learn what web agents are, how they automate tasks online, their architecture, key components, limitations, and an overview of their decision-making strategies. - Build a web agent that can scrape website and return course recommendations in a structured output format. - Build an autonomous web agent that can execute multiple tasks, such as finding and summarizing webpages, filling out a form, and signing up for a newsletter. - Explore AgentQ, a framework that enables agents to self-correct by combining Monte Carlo Tree Search (MCTS), a self-critique mechanism for continuous improvement, and Direct Preference Optimization (DPO). - Deep dive into MCTS, learn how it finds an effective path, illustrated by an example of Gridworld animation, and use AgentQ to complete web tasks. - Understand AI agents' current state and future directions—including key factors shaping their evolution, such as hardware, algorithm innovation, and data availability. By the end of this course, you will have hands-on experience building browser agents and a deeper understanding of how to make them more robust and reliable. Please sign up here:

New Short Course: Building AI Browser Agents! Learn how to build AI agents that interact and take actions on websites in this course, created in partnership with and taught by and @namangarg0, Co-founders of AGI Inc. AI browser agents can log into websites, fill out forms, click through web pages, or even place orders online for you. They use both visual information, like screenshots, and structural data, like the HTML or Document Object Model (DOM) of a web page, to reason and take action. With the complexity of webpages and multiple possible actions at each step, it can be challenging for an AI browser agent to complete an assigned task. Because these agents run long action sequences, a single error—like clicking the wrong button or misreading a field—can lead to unexpected outcomes or errors that compound over time. In this course, you'll understand how autonomous web agents work, their current limitations, and how AgentQ enables them to improve through self-correction. In detail, you'll: - Learn what web agents are, how they automate tasks online, their architecture, key components, limitations, and an overview of their decision-making strategies. - Build a web agent that can scrape website and return course recommendations in a structured output format. - Build an autonomous web agent that can execute multiple tasks, such as finding and summarizing webpages, filling out a form, and signing up for a newsletter. - Explore AgentQ, a framework that enables agents to self-correct by combining Monte Carlo Tree Search (MCTS), a self-critique mechanism for continuous improvement, and Direct Preference Optimization (DPO). - Deep dive into MCTS, learn how it finds an effective path, illustrated by an example of Gridworld animation, and use AgentQ to complete web tasks. - Understand AI agents' current state and future directions—including key factors shaping their evolution, such as hardware, algorithm innovation, and data availability. By the end of this course, you will have hands-on experience building browser agents and a deeper understanding of how to make them more robust and reliable. Please sign up here:

Andrew Ng

186,133 次观看 • 1 年前

pi-web-access is an extension that provides web search (and more) for Pi coding agent. The latest update introduces a new UX pattern: you can hit `Ctrl+S` to intercept agent searches mid-flight to inspect and curate exactly what makes it into the agent conversation. pi install npm:pi-web-access

pi-web-access is an extension that provides web search (and more) for Pi coding agent. The latest update introduces a new UX pattern: you can hit `Ctrl+S` to intercept agent searches mid-flight to inspect and curate exactly what makes it into the agent conversation. pi install npm:pi-web-access

Nico Bailon

29,352 次观看 • 5 个月前

Introducing Interact AI: a new interface for the web. Add it to your website, and it talks to every visitor, answers questions, and shows your product. Try it now ->

Introducing Interact AI: a new interface for the web. Add it to your website, and it talks to every visitor, answers questions, and shows your product. Try it now ->

Interact AI

2,229,570 次观看 • 3 个月前

You can now clone any website just by writing a prompt. Simply add the Firecrawl MCP server to your favorite AI coding tool for improved web data extraction, and let Claude code it for you. Here’s how:

You can now clone any website just by writing a prompt. Simply add the Firecrawl MCP server to your favorite AI coding tool for improved web data extraction, and let Claude code it for you. Here’s how:

Alvaro Cintas

83,031 次观看 • 1 年前

Here's Operator from OpenAI building a Due Diligence portal for an M&A transaction of TikTok on Box. The Agent creates a folder structure, the initial set of docs, and then researches on the web for data. In the future, AI Agents just do work for you in the background.

Here's Operator from OpenAI building a Due Diligence portal for an M&A transaction of TikTok on Box. The Agent creates a folder structure, the initial set of docs, and then researches on the web for data. In the future, AI Agents just do work for you in the background.

Aaron Levie

196,150 次观看 • 1 年前

Huge update live on Assisterr 🚀 First AI Agent templates are here: ⚡ Web Browser Agent — surf & interact with thousands of websites ⚡ Social Agent — build autoposting bots for your socials ⚡ API Agent — connect to any public or private API effortlessly Kickstart your agents today 👉

Huge update live on Assisterr 🚀 First AI Agent templates are here: ⚡ Web Browser Agent — surf & interact with thousands of websites ⚡ Social Agent — build autoposting bots for your socials ⚡ API Agent — connect to any public or private API effortlessly Kickstart your agents today 👉

assisterr

32,443 次观看 • 1 年前

You can now clone any website just by writing a prompt. Simply add the new Firecrawl MCP server to your favorite AI coding tool for improved web data extraction, and let Claude code it for you. Here’s how:

You can now clone any website just by writing a prompt. Simply add the new Firecrawl MCP server to your favorite AI coding tool for improved web data extraction, and let Claude code it for you. Here’s how:

Alvaro Cintas

539,649 次观看 • 1 年前