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Updated pi-web-access for Pi agent with video understanding. If you're signed into Gemini in Chrome, no API keys needed for web search or video analysis. Point it at any YouTube URL or local video file (mp4, mov, etc) and ask questions about the content. pi install npm:pi-web-access

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Nico Bailon

8,381 subscribers

18,367 просмотров • 7 месяцев назад •via X (Twitter)

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Комментарии: 4

Фото профиля Mario Zechner
Mario Zechner7 месяцев назад

Do you ever sleep?

Фото профиля Diabolo_8008
Diabolo_80087 месяцев назад

this screen is so beautiful! there is no reason to leave this terminal

Фото профиля Emre Coklar
Emre Coklar7 месяцев назад

NICE!!

Фото профиля Pi ⚗️
Pi ⚗️7 месяцев назад

Video understanding without API keys? Now that's what I call efficient alchemy. One less barrier between curiosity and insight. Keeping an eye on this.

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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
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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

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29,352 просмотров • 6 месяцев назад

If you need AI to do a search for you in the real world, ds4-agent is basically SOTA, because it can access the web sites without any limitations given that it uses your local Chrome browser (no, not in headless mode, that's the trick...), and DeepSeek v4 is great at search.
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If you need AI to do a search for you in the real world, ds4-agent is basically SOTA, because it can access the web sites without any limitations given that it uses your local Chrome browser (no, not in headless mode, that's the trick...), and DeepSeek v4 is great at search.

antirez

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Gemini in Chrome is unbeatable for learning new things You can turn a YouTube video into a full tutorial and ask follow-up questions. - Copy the video URL - Type “@ Gemini” in the URL bar and your prompt - Paste the video URL at the end The full tutorial is created in 2 sec!
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Gemini in Chrome is unbeatable for learning new things You can turn a YouTube video into a full tutorial and ask follow-up questions. - Copy the video URL - Type “@ Gemini” in the URL bar and your prompt - Paste the video URL at the end The full tutorial is created in 2 sec!

Paul Couvert

310,608 просмотров • 1 год назад

🚨 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.
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🚨 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 просмотров • 10 дней назад

OpenAI's Swarm Web Extractor This can autonomously search the web, map entire websites, and extract data. This is built on top of OpenAI’s new multi-agent framework Swarm, Serp AI and Firecrawl API. - Swarm is a lightweight and experimental framework introduced by OpenAI to develop multi-agent systems. - Serp API A is a real-time API that allows users to access Google search results. - Firecrawl API turns entire websites into clean, LLM-ready markdown or structured data. Scrape, crawl and extract the web with a single API. Video credits: Eric Ciarla #webextraction #llms #nlproc #swarm #multiagents
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OpenAI's Swarm Web Extractor This can autonomously search the web, map entire websites, and extract data. This is built on top of OpenAI’s new multi-agent framework Swarm, Serp AI and Firecrawl API. - Swarm is a lightweight and experimental framework introduced by OpenAI to develop multi-agent systems. - Serp API A is a real-time API that allows users to access Google search results. - Firecrawl API turns entire websites into clean, LLM-ready markdown or structured data. Scrape, crawl and extract the web with a single API. Video credits: Eric Ciarla #webextraction #llms #nlproc #swarm #multiagents

Kalyan KS

174,525 просмотров • 1 год назад

Stop paying $20–50/month for your AI agent to browse the web. i built the free version no API keys, no config, no rate limits😳 it's called Hound. An MCP server that does fetch, search, crawl, and screenshot — all keyless and now it ships a native Pi extension, so you get all 6 tools as first-class Pi tools, not through a generic MCP adapter what you get: → web_fetch — anti-bot fetch → clean markdown. PDFs get section maps + auto-OCR. Dead pages auto-recover from the Internet archive (honestly marked, never pretending it's live) → web_search — 10 keyless backends in parallel (DuckDuckGo, Brave, Mojeek, Yandex, Google…) + a local neural reranker → web_crawl — best-first same-domain walk. sitemap mode maps a whole site in one fetch → web_screenshot — anti-bot shots for multimodal models → cache_clear + hound_version what it replaces: -tavily — free tier -firecrawl — $16–50/mo -searXNG + browser + extractor glue — fragile -hound — $0, keyless, forever why it matters: >agent research needs web access, but everyone gates it behind a key or a limit >hound is honest about errors — a 404 says "Page doesn't exist" instead of dumping an error page as if it were content >archive recovery tags source= so the agent knows the content is historical, not live 2-minute setup: -pip install hound-mcp[all] -pi install npm: @houndmcp/hound-mcp-pi -/reload → tools are live. That's it Caveats (read): dataDome, Akamai, Cloudflare Turnstile — no free tool bypasses these hound tries the stealthy browser, then tells you to switch sources the [all] extra is ~100MB (onnxruntime + OCR). Works without it, but full install is recommended not a scraping-at-scale tool. Crawl caps at 100 pages by default — built for agent research Give your agent the web for free
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Stop paying $20–50/month for your AI agent to browse the web. i built the free version no API keys, no config, no rate limits😳 it's called Hound. An MCP server that does fetch, search, crawl, and screenshot — all keyless and now it ships a native Pi extension, so you get all 6 tools as first-class Pi tools, not through a generic MCP adapter what you get: → web_fetch — anti-bot fetch → clean markdown. PDFs get section maps + auto-OCR. Dead pages auto-recover from the Internet archive (honestly marked, never pretending it's live) → web_search — 10 keyless backends in parallel (DuckDuckGo, Brave, Mojeek, Yandex, Google…) + a local neural reranker → web_crawl — best-first same-domain walk. sitemap mode maps a whole site in one fetch → web_screenshot — anti-bot shots for multimodal models → cache_clear + hound_version what it replaces: -tavily — free tier -firecrawl — $16–50/mo -searXNG + browser + extractor glue — fragile -hound — $0, keyless, forever why it matters: >agent research needs web access, but everyone gates it behind a key or a limit >hound is honest about errors — a 404 says "Page doesn't exist" instead of dumping an error page as if it were content >archive recovery tags source= so the agent knows the content is historical, not live 2-minute setup: -pip install hound-mcp[all] -pi install npm: @houndmcp/hound-mcp-pi -/reload → tools are live. That's it Caveats (read): dataDome, Akamai, Cloudflare Turnstile — no free tool bypasses these hound tries the stealthy browser, then tells you to switch sources the [all] extra is ~100MB (onnxruntime + OCR). Works without it, but full install is recommended not a scraping-at-scale tool. Crawl caps at 100 pages by default — built for agent research Give your agent the web for free

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here's a under the hood look at something we're working on to enable an even easier sign-in experience for our new coinbase cli/mcp access from all major web and local agent harnesses sign-in-with-coinbase (instead of API keys) coming soon!
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here's a under the hood look at something we're working on to enable an even easier sign-in experience for our new coinbase cli/mcp access from all major web and local agent harnesses sign-in-with-coinbase (instead of API keys) coming soon!

lincoln.base.eth

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Paul Couvert

168,434 просмотров • 9 месяцев назад

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PSA ‼️🚨: Unsure if this is an actual exploit or whether these were already downloadable, but if you search “No Images Produced” on the DOJ site & then manually replace the pdf at the end of the URL w/ mp4, mov, jpeg, png, etc, you can pull the media! Web sleuths, get in here!

ParaPower Mapping

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New day, new #ChatGPT extension! 🤗 With the `ChatGPT for Search Engines` extension, you can view ChatGPT responses on Google and Bing! See my demo video below 👇 Install it from the Chrome web store: 🔗
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New day, new #ChatGPT extension! 🤗 With the `ChatGPT for Search Engines` extension, you can view ChatGPT responses on Google and Bing! See my demo video below 👇 Install it from the Chrome web store: 🔗

Chaz Wargnier ☄️

666,000 просмотров • 3 лет назад

🤯 YOUR AGENT NOW READS THE ENTIRE INTERNET WITHOUT A SINGLE API KEY someone open-sourced this repo. it replaces $300/mo in paid APIs Agent Reach. #1 Repository of the Day on GitHub trending. 63,165 stars install it - and your agent reads: - any web page → clean markdown - YouTube → captions and search, plus 1800+ video sites - GitHub → repos, issues, search - X → timeline, search, full posts - Reddit → threads and comments - LinkedIn, Instagram, Facebook - RSS and semantic search across the whole web no keys. no subscriptions. important: your cookies stay on your machine. they never leave your agent has been guessing about the internet this whole time. save this before your next research task ↓
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Granite

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Ollama now supports subagents and web search in Claude Code! Subagents can run tasks in parallel, such as file search, code exploration, and research, each in their own context. No MCP servers to configure or API keys required. Try it with any model on Ollama's cloud: ollama launch claude --model minimax-m2.5:cloud
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Ollama now supports subagents and web search in Claude Code! Subagents can run tasks in parallel, such as file search, code exploration, and research, each in their own context. No MCP servers to configure or API keys required. Try it with any model on Ollama's cloud: ollama launch claude --model minimax-m2.5:cloud

ollama

84,185 просмотров • 7 месяцев назад

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Good news for anyone with too many tabs: ChatGPT is getting better around the web. 🧩 Chrome extension: In Side Chat, ask about a YouTube video, reference your open tabs, or highlight text on a page and ask away. 💻 Desktop app: Get URL suggestions as you type, revisit your browser history, and choose how it’s managed. Rolling out today.

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974,757 просмотров • 1 месяц назад

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turned this into a web app you can use with your own obsidian vault! no install, just one html file: point it at your notes folder, it embeds everything with gemini, clusters by meaning, and renders the 3d network in your browser. available now for x/twitter subscribers <3

Kat ⊷ the Poet Engineer

106,855 просмотров • 6 месяцев назад

We've been testing Memory (short-term and long-term) on Perplexity for a while. The results are great, and we are rolling it out widely. You can ask personalized questions, questions about past chats, and use any model or search mode with personal context (both apps and web).
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We've been testing Memory (short-term and long-term) on Perplexity for a while. The results are great, and we are rolling it out widely. You can ask personalized questions, questions about past chats, and use any model or search mode with personal context (both apps and web).

Aravind Srinivas

96,497 просмотров • 9 месяцев назад

PROJECT HIGHLAND TERACASTING The case for a FULLY GIGACAST chassis and new Tesla Pi (M3 replacement) Video out now for Patrons. Will go public SATURDAY once Patreon Early Access is over - or watch it now here: 1/ #Tesla
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PROJECT HIGHLAND TERACASTING The case for a FULLY GIGACAST chassis and new Tesla Pi (M3 replacement) Video out now for Patrons. Will go public SATURDAY once Patreon Early Access is over - or watch it now here: 1/ #Tesla

Connecting The Dots (...To Disruptions)

13,313 просмотров • 3 лет назад

The most underutilized AI API is Gemini 2.5 pro with video input. This app is for our first ever intern, Kevin, who makes content. So I built an app that analyzes his videos before he posts. And it doesn’t just analyze the script. It literally “watches” the video in seconds and provides feedback on visuals + dialogue. Side note: The agent now searches the web, and implements any API just give it your key.
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The most underutilized AI API is Gemini 2.5 pro with video input. This app is for our first ever intern, Kevin, who makes content. So I built an app that analyzes his videos before he posts. And it doesn’t just analyze the script. It literally “watches” the video in seconds and provides feedback on visuals + dialogue. Side note: The agent now searches the web, and implements any API just give it your key.

Riley Brown

66,711 просмотров • 1 год назад

AgenC runs Grok 4.5 by default now. Sign in with SuperGrok or X Premium through X. No API key. Web search, X search, code tools, image and video, all in one agent session. Open Source, runs on your machine. curl -fsSL httpx://get.agenc.ag/install.sh | sh then /grok-login
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AgenC runs Grok 4.5 by default now. Sign in with SuperGrok or X Premium through X. No API key. Web search, X search, code tools, image and video, all in one agent session. Open Source, runs on your machine. curl -fsSL httpx://get.agenc.ag/install.sh | sh then /grok-login

tetsuo

42,191 просмотров • 2 месяцев назад