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We keep defaulting to the biggest model in the room every time we touch AI in our apps. Claude, GPT, Gemini. Cloud or nothing. But the browser is already more capable than most people realize: WebAI and WebMCP may change this. With WebAI you can run models client-side. With... show more

Maximiliano Firtman

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14,824 次观看 • 5 个月前 •via X (Twitter)

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Most AI agents force you into a new browser. Meet Composite, it isn't just a hosted browser session in the cloud, or a completely separate browser. Composite actually does the clicking, typing, and navigation inside your real tabs, in your existing browser. - Uses your existing browser, so there’s no migration, you keep your bookmarks, extensions, workflows - No lock-in. It works with any site, any AI model, you’re in control. - Composite does the clicks, types, and navigation for you. In your tabs. No migration. No lock-in. No learning curve. Download and start now:

Most AI agents force you into a new browser. Meet Composite, it isn't just a hosted browser session in the cloud, or a completely separate browser. Composite actually does the clicking, typing, and navigation inside your real tabs, in your existing browser. - Uses your existing browser, so there’s no migration, you keep your bookmarks, extensions, workflows - No lock-in. It works with any site, any AI model, you’re in control. - Composite does the clicks, types, and navigation for you. In your tabs. No migration. No lock-in. No learning curve. Download and start now:

The AI Colony

48,585 次观看 • 1 年前

Don't waste your time building an Agentic Browser We built an chrome extension that does everything gpt atlas does and more - Can take actions and do things for you right in your own browser - Use 500+ tools like Gmail, Slack, Notion and more - Can be easily accessed in your sidebar Built with Composio Tool Router, Google AI Developers Gemini 2.5 Computer Use and AI SDK Completely free and open source link to the code:

Don't waste your time building an Agentic Browser We built an chrome extension that does everything gpt atlas does and more - Can take actions and do things for you right in your own browser - Use 500+ tools like Gmail, Slack, Notion and more - Can be easily accessed in your sidebar Built with Composio Tool Router, Google AI Developers Gemini 2.5 Computer Use and AI SDK Completely free and open source link to the code:

Karan Vaidya

73,887 次观看 • 10 个月前

AI app builders are officially obsolete. Stop building static sites. Start building AI-Native Apps. Enter Pro doesn’t just code a page; it builds apps with 'Brains', integrating Claude, GPT, and Gemini directly into your workflow via AI All. designed for build ai native apps or agent One sentence in. A real, emphasis on "ai native app", enter can build ai app or agent, with llm integrated. including the latest image and video models like nano banana, seedance 2.0(ready to launch), veo3.1 etc. Auth. Database. Payments. Handled.

AI app builders are officially obsolete. Stop building static sites. Start building AI-Native Apps. Enter Pro doesn’t just code a page; it builds apps with 'Brains', integrating Claude, GPT, and Gemini directly into your workflow via AI All. designed for build ai native apps or agent One sentence in. A real, emphasis on "ai native app", enter can build ai app or agent, with llm integrated. including the latest image and video models like nano banana, seedance 2.0(ready to launch), veo3.1 etc. Auth. Database. Payments. Handled.

Darshal Jaitwar

40,362 次观看 • 7 个月前

"Agents can only go so far without the data and apps. And this is where Salesforce wins with AI. The data is more important than ever. Or your agents just can't perform at the level of accuracy We need them to." Marc Benioff

"Agents can only go so far without the data and apps. And this is where Salesforce wins with AI. The data is more important than ever. Or your agents just can't perform at the level of accuracy We need them to." Marc Benioff

Jason ✨👾SaaStr.Ai✨ Lemkin

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We just submitted our project to the OpenAI Developers WebMCP hackathon: The WebMCP Computer. WebMCP Computer is an operating system that lives inside the browser, with WebMCP as its native control layer. It is a computer that treats agents as first-class citizens, where files, processes, applications, windows, and the terminal are exposed directly through WebMCP. You can send anyone one URL that becomes a disposable computer for any agent task. We created a computer instance in ChatGPT Sites, open it with Codex’s in-app browser and try it here: Some examples of what you can do with WebMCP Computer: 1/ Give a coding agent a fresh computer to clone a repository, edit code, run tests, and preview the result. 2/ Let an agent inspect logs, manage processes, change configurations, and repair a broken system. 3/ Give a research agent its own workspace to browse, download files, analyze data, and create a report. 4/ Create reproducible environments for evaluating and comparing different agents. 5/ Let humans and agents work together in the same environment, with the agent using WebMCP and the human using the GUI. The list of applications is endless, with more examples in our GitHub. The project is fully open source under the MIT license. Created by our awesome founding engineer Ilay Alog.

We just submitted our project to the OpenAI Developers WebMCP hackathon: The WebMCP Computer. WebMCP Computer is an operating system that lives inside the browser, with WebMCP as its native control layer. It is a computer that treats agents as first-class citizens, where files, processes, applications, windows, and the terminal are exposed directly through WebMCP. You can send anyone one URL that becomes a disposable computer for any agent task. We created a computer instance in ChatGPT Sites, open it with Codex’s in-app browser and try it here: Some examples of what you can do with WebMCP Computer: 1/ Give a coding agent a fresh computer to clone a repository, edit code, run tests, and preview the result. 2/ Let an agent inspect logs, manage processes, change configurations, and repair a broken system. 3/ Give a research agent its own workspace to browse, download files, analyze data, and create a report. 4/ Create reproducible environments for evaluating and comparing different agents. 5/ Let humans and agents work together in the same environment, with the agent using WebMCP and the human using the GUI. The list of applications is endless, with more examples in our GitHub. The project is fully open source under the MIT license. Created by our awesome founding engineer Ilay Alog.

idan levin

28,113 次观看 • 17 天前

AI is creating a new kind of creator economy. One where anyone can launch complex apps, agents, trading systems, research tools, games, and community experiments in minutes. Not just content people consume. AI-native experiences people can use, share, and grow together. That is the bigger idea behind the AI Trading Arena: a live DeFAI environment where AI-created strategies compete on real crypto prices, with every trade, tick, P&L update, and leaderboard visible to everyone. The latest expansion makes it even more fascinating: AI is now designing new trading strategies and adding them into the Arena to compete with strategies from frontier models like GPT-5, Claude, Gemini, Grok, DeepSeek, and Llama. Just agents, markets, and performance in the open. And the Arena is only one example. On ChainOpera AI, creators can launch AI-native experiences in minutes, then grow them with the community that uses them. $COAI is the fuel for this creator economy: creators launch, users participate, and AI-native apps come alive through real community usage. What would you be built next?

AI is creating a new kind of creator economy. One where anyone can launch complex apps, agents, trading systems, research tools, games, and community experiments in minutes. Not just content people consume. AI-native experiences people can use, share, and grow together. That is the bigger idea behind the AI Trading Arena: a live DeFAI environment where AI-created strategies compete on real crypto prices, with every trade, tick, P&L update, and leaderboard visible to everyone. The latest expansion makes it even more fascinating: AI is now designing new trading strategies and adding them into the Arena to compete with strategies from frontier models like GPT-5, Claude, Gemini, Grok, DeepSeek, and Llama. Just agents, markets, and performance in the open. And the Arena is only one example. On ChainOpera AI, creators can launch AI-native experiences in minutes, then grow them with the community that uses them. $COAI is the fuel for this creator economy: creators launch, users participate, and AI-native apps come alive through real community usage. What would you be built next?

ChainOpera AI

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wtf is MCP? Paul Klein IV, CEO of explains "Model Context Protocol" (MCP) in plain terms: "There's this new way that people are exposing tools to AI & the 'Model Context Protocol' is one of those ways that you can standardize & give your AI a set of tools to call. BrowserBase has a way to expose the browser to your agent via MCP or MCP server. More & more developers are trying to find ways to integrate more functionalities to their AI agents & BrowserBase's browsers are one of those primitive functionalities, & the MCP is just one way to integrate it into your software." Paul Klein IV From 🅱️'s GitHub: Model Context Protocol (MCP) is an open protocol that enables seamless integration between LLM applications and external data sources and tools. Whether you’re building an AI-powered IDE, enhancing a chat interface, or creating custom AI workflows, MCP provides a standardized way to connect LLMs with the context they need. This server provides cloud browser automation capabilities using Browserbase and Stagehand. This server enables LLMs to interact with web pages, take screenshots, and execute JavaScript in a cloud browser environment.

wtf is MCP? Paul Klein IV, CEO of explains "Model Context Protocol" (MCP) in plain terms: "There's this new way that people are exposing tools to AI & the 'Model Context Protocol' is one of those ways that you can standardize & give your AI a set of tools to call. BrowserBase has a way to expose the browser to your agent via MCP or MCP server. More & more developers are trying to find ways to integrate more functionalities to their AI agents & BrowserBase's browsers are one of those primitive functionalities, & the MCP is just one way to integrate it into your software." Paul Klein IV From 🅱️'s GitHub: Model Context Protocol (MCP) is an open protocol that enables seamless integration between LLM applications and external data sources and tools. Whether you’re building an AI-powered IDE, enhancing a chat interface, or creating custom AI workflows, MCP provides a standardized way to connect LLMs with the context they need. This server provides cloud browser automation capabilities using Browserbase and Stagehand. This server enables LLMs to interact with web pages, take screenshots, and execute JavaScript in a cloud browser environment.

Molly O’Shea

20,408 次观看 • 1 年前

Web scraping is a critical skill, and yet nobody talks about it. How do you think companies are training their Large Language Models? Where do you think the data comes from? But web scraping goes beyond all of that. Imagine giving an AI agent access to any public online data in real time! I like to call this "web-scrapping on demand", and I'm pretty sure it's going to unlock unlimited power for AI applications. I recorded a quick video to show you how you can do this using Apify. I've talked about them before, and they are collaborating with me on this post. They have one of the best open-source web scraping and browser automation libraries out there: But it gets much better than this! You can use MCP to connect your AI Agents and applications to the Apify platform and use any specialized actor on demand to scrape and process online data. In the video, I used Cursor to scrape LinkedIn posts with the words "Machine Learning" in real time. Worked like a charm with no code needed! Here is a link to the platform: Think about this: You can now feed your AI applications with any public data on demand! We aren't ready for what's coming.

Web scraping is a critical skill, and yet nobody talks about it. How do you think companies are training their Large Language Models? Where do you think the data comes from? But web scraping goes beyond all of that. Imagine giving an AI agent access to any public online data in real time! I like to call this "web-scrapping on demand", and I'm pretty sure it's going to unlock unlimited power for AI applications. I recorded a quick video to show you how you can do this using Apify. I've talked about them before, and they are collaborating with me on this post. They have one of the best open-source web scraping and browser automation libraries out there: But it gets much better than this! You can use MCP to connect your AI Agents and applications to the Apify platform and use any specialized actor on demand to scrape and process online data. In the video, I used Cursor to scrape LinkedIn posts with the words "Machine Learning" in real time. Worked like a charm with no code needed! Here is a link to the platform: Think about this: You can now feed your AI applications with any public data on demand! We aren't ready for what's coming.

Santiago

101,473 次观看 • 1 年前

We're winning the AI browser wars, and we're not even trying. Our mission isn't to build a browser. We're an agent company, not a browser company. We've seen firsthand how teams struggle to get started with AI. The tools they tried are too complex and lack the context you need. We decided to build a browser since it's already the tool you work in. We all know how to use a browser. You can pick up Strawberry and start using AI agents from day one. By building a browser we are also positioning ourselves to build towards the internet of the future. An internet where trillions of agents will be communicating with each other. This is the biggest opportunity of our lifetime. But someone has to make sure it is safe, effective and accessible to teams across the world. That is our mission.

We're winning the AI browser wars, and we're not even trying. Our mission isn't to build a browser. We're an agent company, not a browser company. We've seen firsthand how teams struggle to get started with AI. The tools they tried are too complex and lack the context you need. We decided to build a browser since it's already the tool you work in. We all know how to use a browser. You can pick up Strawberry and start using AI agents from day one. By building a browser we are also positioning ourselves to build towards the internet of the future. An internet where trillions of agents will be communicating with each other. This is the biggest opportunity of our lifetime. But someone has to make sure it is safe, effective and accessible to teams across the world. That is our mission.

Charles Maddock

42,381 次观看 • 3 个月前

Hermes just made its in-app browser a whole lot more useful. You can now keep multiple browser tabs open inside Hermes Desktop instead of every new page replacing the one you were already using. And that matters more than it sounds. Because this is not just about “having tabs.” It means Hermes can work across multiple pages without forcing you to keep losing your place every time you open the next thing. Research one source, keep it open, open another tab, compare them side by side, and keep moving. Check a few products before buying something. Look at multiple hotel or travel options at once. Keep a YouTube tutorial open in one tab while Hermes looks through docs or another page in the next. And because this lives inside Hermes Desktop, you are not limited to one basic browser view either. You can keep multiple tabs open. You can view two pages side by side. You can stack them top and bottom. You can even run a four-panel view when you want several pages open at once. So the browser inside Hermes is starting to feel a lot more like a real workspace instead of one page you keep replacing. There is also some nice polish that comes with it. Browser tabs now label themselves based on the page, and the address bar behaves more cleanly while pages are loading. And remember, this is the same in-app browser Hermes can already read, click through, type in, scroll, and annotate. So this is not just a prettier browser. It is a more capable workspace for the browser Hermes is actually using. If Hermes is going to do more of your work on the web, this is exactly the kind of browser upgrade it needed.

Hermes just made its in-app browser a whole lot more useful. You can now keep multiple browser tabs open inside Hermes Desktop instead of every new page replacing the one you were already using. And that matters more than it sounds. Because this is not just about “having tabs.” It means Hermes can work across multiple pages without forcing you to keep losing your place every time you open the next thing. Research one source, keep it open, open another tab, compare them side by side, and keep moving. Check a few products before buying something. Look at multiple hotel or travel options at once. Keep a YouTube tutorial open in one tab while Hermes looks through docs or another page in the next. And because this lives inside Hermes Desktop, you are not limited to one basic browser view either. You can keep multiple tabs open. You can view two pages side by side. You can stack them top and bottom. You can even run a four-panel view when you want several pages open at once. So the browser inside Hermes is starting to feel a lot more like a real workspace instead of one page you keep replacing. There is also some nice polish that comes with it. Browser tabs now label themselves based on the page, and the address bar behaves more cleanly while pages are loading. And remember, this is the same in-app browser Hermes can already read, click through, type in, scroll, and annotate. So this is not just a prettier browser. It is a more capable workspace for the browser Hermes is actually using. If Hermes is going to do more of your work on the web, this is exactly the kind of browser upgrade it needed.

Hermes Release Watch

52,493 次观看 • 25 天前

Imagine an AI application that can type anywhere you can and use the full context of what's on your screen. This is the application we all deserve (at least if you have macOS.) Check out Omnipilot. It's an app that works with every other macOS application and uses Claude Sonet 3.5 in the background—it also supports Gemini and GPT-4o. Here is the idea: You can use the tool to ask questions about anything on your screen. Or you can use it to autocomplete the text you are typing. You don't need to copy and paste anymore or waste your time providing context to a model. It sees what you see. It works right where you are. That's pretty cool. Here are a couple of cool examples: • Use it to reply to an email • Use it in the terminal to autocomplete a command • Use it to finish a document • Use to send a message on Slack AI at the system level is bonkers. You can read a ton more on their Product Hunt launch page: Thanks to the Omnipilot team for collaborating with me on this post!

Imagine an AI application that can type anywhere you can and use the full context of what's on your screen. This is the application we all deserve (at least if you have macOS.) Check out Omnipilot. It's an app that works with every other macOS application and uses Claude Sonet 3.5 in the background—it also supports Gemini and GPT-4o. Here is the idea: You can use the tool to ask questions about anything on your screen. Or you can use it to autocomplete the text you are typing. You don't need to copy and paste anymore or waste your time providing context to a model. It sees what you see. It works right where you are. That's pretty cool. Here are a couple of cool examples: • Use it to reply to an email • Use it in the terminal to autocomplete a command • Use it to finish a document • Use to send a message on Slack AI at the system level is bonkers. You can read a ton more on their Product Hunt launch page: Thanks to the Omnipilot team for collaborating with me on this post!

Santiago

72,306 次观看 • 2 年前

🚨 THIS IS ACTUALLY INSANE Your AI agent can have access to the web. But if it can't reliably read what’s actually on the page, that access is almost useless. We looked at Firecrawl as the web layer for AI agents and the numbers are hard to ignore. The setup is simple: Give it a URL, search query, or website. Firecrawl handles the ugly part — crawling, scraping, rendering, extracting, and turning web content into something an AI model can actually use. The headline numbers: → 173,000+ GitHub stars → Search, scrape and interact with the web at scale → Supports web pages, PDFs, DOCX and other content → Structured data extraction for AI workflows → MCP support for connecting it directly to AI agents The workflow looks like this: Search → Scrape → Crawl → Extract → Feed the agent Three things stand out: 1. Scraping becomes an infrastructure layer Instead of maintaining your own pile of HTTP clients, parsers, browser automation and retry logic, you can treat web access as an API. 2. Agents get more than raw HTML The goal isn't just downloading a webpage. It's turning messy web content into clean context that an LLM can reason over. 3. The same layer works across different agent workflows Research agents. RAG pipelines. AI search. Competitive intelligence. Web-data extraction. The interesting shift: AI agents don't just need better models. They need better access to the information those models are supposed to reason about. Firecrawl is building that layer. Save this repo.

🚨 THIS IS ACTUALLY INSANE Your AI agent can have access to the web. But if it can't reliably read what’s actually on the page, that access is almost useless. We looked at Firecrawl as the web layer for AI agents and the numbers are hard to ignore. The setup is simple: Give it a URL, search query, or website. Firecrawl handles the ugly part — crawling, scraping, rendering, extracting, and turning web content into something an AI model can actually use. The headline numbers: → 173,000+ GitHub stars → Search, scrape and interact with the web at scale → Supports web pages, PDFs, DOCX and other content → Structured data extraction for AI workflows → MCP support for connecting it directly to AI agents The workflow looks like this: Search → Scrape → Crawl → Extract → Feed the agent Three things stand out: 1. Scraping becomes an infrastructure layer Instead of maintaining your own pile of HTTP clients, parsers, browser automation and retry logic, you can treat web access as an API. 2. Agents get more than raw HTML The goal isn't just downloading a webpage. It's turning messy web content into clean context that an LLM can reason over. 3. The same layer works across different agent workflows Research agents. RAG pipelines. AI search. Competitive intelligence. Web-data extraction. The interesting shift: AI agents don't just need better models. They need better access to the information those models are supposed to reason about. Firecrawl is building that layer. Save this repo.

Vikas gupta

18,053 次观看 • 15 天前

"The AI Doc: or How I Became an Apocaloptimist" is out in theaters across the US this Friday! Tristan Harris went on Real Time with Bill Maher with Bill Maher to talk about why this film will help create the clarity we desperately need to shift the direction of AI. You can watch the full episode here: Go see The AI Doc this weekend and bring your friends! We need everyone to understand the stakes of the challenge in front of us and the amazing world we can build — if we meet it. Buy your tix today:

"The AI Doc: or How I Became an Apocaloptimist" is out in theaters across the US this Friday! Tristan Harris went on Real Time with Bill Maher with Bill Maher to talk about why this film will help create the clarity we desperately need to shift the direction of AI. You can watch the full episode here: Go see The AI Doc this weekend and bring your friends! We need everyone to understand the stakes of the challenge in front of us and the amazing world we can build — if we meet it. Buy your tix today:

Center For Humane Technology

106,916 次观看 • 6 个月前

You’re already training Big Tech’s AI models. So why aren’t you getting compensated for it? With Action Model you can download our browser extension and train AI passively in the background or by completing ActionFi tasks, while earning rewards and ownership in the model itself. This is what the future of AI should look like. Ownership back in the hands of the people who help build it, not billionaire control.

You’re already training Big Tech’s AI models. So why aren’t you getting compensated for it? With Action Model you can download our browser extension and train AI passively in the background or by completing ActionFi tasks, while earning rewards and ownership in the model itself. This is what the future of AI should look like. Ownership back in the hands of the people who help build it, not billionaire control.

Action Model

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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

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David Ondrej

80,963 次观看 • 7 个月前

This is very true. AI integration is both hard and necessary for companies. And AI-native junior employees can drive this adoption. Earlier this year Aaron Levie explained with martin_casado on the a16z podcast how AI fluency is one of the most powerful skills a new grad can have. The real value comes from knowing how to make AI work inside an organization. Most companies, both large and small, are slow to adopt new technology. They need people who can explain what AI can do, show them how to use it, and help them move faster. If you are fluent in AI, you can be that person. You can walk into a company, spot the areas where AI can save time or create new opportunities, and make it happen. That is a wedge into your first job and a way to stand out from everyone else.

This is very true. AI integration is both hard and necessary for companies. And AI-native junior employees can drive this adoption. Earlier this year Aaron Levie explained with martin_casado on the a16z podcast how AI fluency is one of the most powerful skills a new grad can have. The real value comes from knowing how to make AI work inside an organization. Most companies, both large and small, are slow to adopt new technology. They need people who can explain what AI can do, show them how to use it, and help them move faster. If you are fluent in AI, you can be that person. You can walk into a company, spot the areas where AI can save time or create new opportunities, and make it happen. That is a wedge into your first job and a way to stand out from everyone else.

a16z

366,027 次观看 • 1 年前

We built the first open‑source AI glasses with a brain interface They use OmiGlass with an fNIRS chip by Telepathic Technologies They can record your entire day and track your focus or intent This is just the beginning => we will make it awesome All links below

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Nik Shevchenko

25,677 次观看 • 1 年前