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We just shipped the /agent node for n8n 🔥 Enriching data has never been this easy with our new endpoint. Just describe your goal and let /agent gather all of the data you need. See it in action 👇

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Firecrawl

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20,223 просмотров • 8 месяцев назад •via X (Twitter)

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We just shipped /agent support to the Firecrawl MCP 🚀 Now you can use /agent directly inside ChatGPT, Claude, Cursor, and more. Describe the data you need and watch it search the web, navigate, and return structured data without leaving your workflow. Try it out today 👇
0:19

We just shipped /agent support to the Firecrawl MCP 🚀 Now you can use /agent directly inside ChatGPT, Claude, Cursor, and more. Describe the data you need and watch it search the web, navigate, and return structured data without leaving your workflow. Try it out today 👇

Firecrawl

17,441 просмотров • 7 месяцев назад

/agent can now run thousands of queries simultaneously 🔥 With Parallel Agents, powered by our newest model Spark-1 Fast, you can batch enrich massive datasets in minutes. Just write your prompt, hit run, and watch as data populates in real-time in our playground.
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/agent can now run thousands of queries simultaneously 🔥 With Parallel Agents, powered by our newest model Spark-1 Fast, you can batch enrich massive datasets in minutes. Just write your prompt, hit run, and watch as data populates in real-time in our playground.

Firecrawl

20,731 просмотров • 6 месяцев назад

We're betting on the next 1B+ users being agents, so we're launching agent signups. Ask your agent to add Firecrawl, instantly claim your API key, then pull web data in seconds. Works with Codex, Claude Code & Grok Build, all powered by auth.md from WorkOS🔥
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We're betting on the next 1B+ users being agents, so we're launching agent signups. Ask your agent to add Firecrawl, instantly claim your API key, then pull web data in seconds. Works with Codex, Claude Code & Grok Build, all powered by auth.md from WorkOS🔥

Firecrawl

45,623 просмотров • 2 месяцев назад

Last week we shipped Agentic Wallets, our first ever wallet infrastructure built specifically for AI agents. Combined with our x402 Bazaar, your agent can search and pay for skills, APIs, and services using stablecoins. See it in action! 👇
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Last week we shipped Agentic Wallets, our first ever wallet infrastructure built specifically for AI agents. Combined with our x402 Bazaar, your agent can search and pay for skills, APIs, and services using stablecoins. See it in action! 👇

Coinbase Developer Platform🛡️

98,598 просмотров • 6 месяцев назад

Introducing our /parse endpoint 🔥 Convert any document into clean data for AI agents via API. - Turn PDF, DOCX, and XLSX files into Markdown or JSON - Preserves reading order and tables - Zero Data Retention support All powered by our 5x faster Rust-based parser.
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Introducing our /parse endpoint 🔥 Convert any document into clean data for AI agents via API. - Turn PDF, DOCX, and XLSX files into Markdown or JSON - Preserves reading order and tables - Zero Data Retention support All powered by our 5x faster Rust-based parser.

Firecrawl

150,043 просмотров • 4 месяцев назад

Excited to announce our n8n.io integration 🔥 Use our all of our endpoints with one of the leading AI workflow automation platforms! Watch how easy it is to connect Firecrawl to Github Issues with n8n:
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Excited to announce our n8n.io integration 🔥 Use our all of our endpoints with one of the leading AI workflow automation platforms! Watch how easy it is to connect Firecrawl to Github Issues with n8n:

Firecrawl

33,300 просмотров • 1 год назад

Made an updated version this weekend Here's how you do it (raw notes) > Grab Andrej Karpathy's latest gist (in the first comment) > Download Peter Steinberger 🦞 summarize CLI > Download yt-dlp > Download obsidian > Download tobi lutke qmd --> Setup a node or Golang CLI called "brain" --> Have it index all your youtube data, AI agent data (jsonl files) --> Get your X data by requesting an archive in your settings --> Setup vaults for each domain/topic area --> Ask questions with your agent and qmd
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Made an updated version this weekend Here's how you do it (raw notes) > Grab Andrej Karpathy's latest gist (in the first comment) > Download Peter Steinberger 🦞 summarize CLI > Download yt-dlp > Download obsidian > Download tobi lutke qmd --> Setup a node or Golang CLI called "brain" --> Have it index all your youtube data, AI agent data (jsonl files) --> Get your X data by requesting an archive in your settings --> Setup vaults for each domain/topic area --> Ask questions with your agent and qmd

Nick Spisak

598,967 просмотров • 4 месяцев назад

Behind every OptimAI Node is a mission far greater than rewards: 🔸To build a decentralized Reinforcement Data Network 🔸To unlock Agentic AI for everyone—not just a privileged few 👉OptimAI Edge Node: Our architecture is now in motion: 🔸OptimAI DePIN to power decentralized infrastructure 🔸OptimAI DeHIN to amplify collective intelligence 🔸Reinforcement Data Layer to train agents smarter, fairer 🔸Compute Layer to enable real-time AI at the edge 🔸OptimAI Chain to govern everything, transparently and efficiently OptimAI Agent Studio, Agent OS, Data Engine, Compute Engine: all part of what we’re building next. This is a network built by people, for people. And you’re not just early, you’re essential. Let’s keep mining, contributing, earning rewards in return, and rewriting the future of Decentralized AI. The future is Agentic. The fuel is your data. The power is decentralized. One Node. One Data. One Agent at a Time. #BUIDL with us!
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Behind every OptimAI Node is a mission far greater than rewards: 🔸To build a decentralized Reinforcement Data Network 🔸To unlock Agentic AI for everyone—not just a privileged few 👉OptimAI Edge Node: Our architecture is now in motion: 🔸OptimAI DePIN to power decentralized infrastructure 🔸OptimAI DeHIN to amplify collective intelligence 🔸Reinforcement Data Layer to train agents smarter, fairer 🔸Compute Layer to enable real-time AI at the edge 🔸OptimAI Chain to govern everything, transparently and efficiently OptimAI Agent Studio, Agent OS, Data Engine, Compute Engine: all part of what we’re building next. This is a network built by people, for people. And you’re not just early, you’re essential. Let’s keep mining, contributing, earning rewards in return, and rewriting the future of Decentralized AI. The future is Agentic. The fuel is your data. The power is decentralized. One Node. One Data. One Agent at a Time. #BUIDL with us!

OptimAI Network

60,334 просмотров • 1 год назад

🔥 We just shipped a full end-to-end character animation platform 🔥 Here's the full rundown: AI Auto-Rig your character meshes. Text-Generate new characters from your brain with our Luma Genie integration. Store your characters for easy access. Apply 1,000+ animations from our library to your characters. Upload and visualize your own motion data from any motion capture source Use your MoCap data on any character in any 3D program All on HEAT More below 👇
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🔥 We just shipped a full end-to-end character animation platform 🔥 Here's the full rundown: AI Auto-Rig your character meshes. Text-Generate new characters from your brain with our Luma Genie integration. Store your characters for easy access. Apply 1,000+ animations from our library to your characters. Upload and visualize your own motion data from any motion capture source Use your MoCap data on any character in any 3D program All on HEAT More below 👇

HEAT

24,954 просмотров • 2 лет назад

Agentic web scrapers are here! Firecrawl just launched FIRE-1, their new agent-powered web-scraper. This is really dope! It navigates complex websites, interacts with dynamic content, and fills forms to scrape the data you need.
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Agentic web scrapers are here! Firecrawl just launched FIRE-1, their new agent-powered web-scraper. This is really dope! It navigates complex websites, interacts with dynamic content, and fills forms to scrape the data you need.

elvis

80,087 просмотров • 1 год назад

Visualizer of our MultiAgentRouter 🤖 The MultiAgentRouter is an all-new multi-agent structure that leverages a hierarchical pattern to select the most specialized agent for your task. Here's how it works: Step 1. You give a task. Step 2. The Boss Agent Routes your task to the most specialized Agent Step 3. The selected agent returns your response! Get started with it now below ⬇️ Thanks to WE!SS for the visualizer!!
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Visualizer of our MultiAgentRouter 🤖 The MultiAgentRouter is an all-new multi-agent structure that leverages a hierarchical pattern to select the most specialized agent for your task. Here's how it works: Step 1. You give a task. Step 2. The Boss Agent Routes your task to the most specialized Agent Step 3. The selected agent returns your response! Get started with it now below ⬇️ Thanks to WE!SS for the visualizer!!

swarms

32,372 просмотров • 1 год назад

From Lite to Edge, from Data to Agent — We’re Just Getting Started. 📌 March: Launched OptimAI Lite Node (Browser + Telegram) 📌 April: Built the foundation for OptimAI DePIN & DeHIN 📌 May: Released OptimAI Edge Node for Android 📌 June: Brought OptimAI Edge Node to iOS 📌 July: Unveiled OptimAI Agent—your AI Copilot for social media, powered by real-time, community-driven data. So... what’s next? There’s still so much to BUIDL, and we want you to help shape it. 💬 Drop your ideas below! + Real value creates real rewards. + Real builders create real impact. Keep building & delivering!
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From Lite to Edge, from Data to Agent — We’re Just Getting Started. 📌 March: Launched OptimAI Lite Node (Browser + Telegram) 📌 April: Built the foundation for OptimAI DePIN & DeHIN 📌 May: Released OptimAI Edge Node for Android 📌 June: Brought OptimAI Edge Node to iOS 📌 July: Unveiled OptimAI Agent—your AI Copilot for social media, powered by real-time, community-driven data. So... what’s next? There’s still so much to BUIDL, and we want you to help shape it. 💬 Drop your ideas below! + Real value creates real rewards. + Real builders create real impact. Keep building & delivering!

OptimAI Network

44,785 просмотров • 1 год назад

OptimAI Lite Node v1.1: Built for Scale, Designed for You! 💕 In just 2 weeks since the launch, the OptimAI Network has seen explosive growth—130,000+ active node participants powering the future of decentralized AI. With this incredible momentum came a new challenge: ensuring our network could scale seamlessly to support massive concurrent connections and real-time participation. That’s why we’ve rolled out OptimAI Lite Node v1.1—a major upgrade focused on: + Stabilizing infrastructure to handle high traffic from a global community. + Enhancing performance for smoother data mining, validation, and edge compute participation. + Refining user experience with UI updates that make contributing effortless. Every line of code and infrastructure upgrade was made with one goal in mind: to support YOU—the builders, validators, and visionaries of the OptimAI ecosystem. Now’s the time to bring more friends into the journey. 🔥 The more we grow, the smarter and stronger the network becomes—and the greater the rewards. Let’s keep building, validating, scaling. Together we’re not just powering AI—we’re reshaping how it’s built. Join or revisit the node here: 🌐 Chrome Extension: 📱Telegram Mini-App: What’s Coming Next: OptimAI Edge Node & the Rise of Agentic AI 🔸OptimAI Edge Node (Mobile) We’re working hard on the next major release: the Edge Node for mobile, which will allow mining and AI tasks to run in the background—unlocking more earning opportunities and decentralized compute power from your smartphones. 🔸More Task Types & Missions Expect new types of contributions, from AI-enhanced data validation to edge inference and scraping automation—powered by autonomous mining agents. 🔸Expanded Rewards Program As we grow, more reward tiers, bonuses, and campaigns will be introduced. Your participation now paves the way for long-term benefits. Also, do not forget to checkout our article below and learn more about our latest Community Tips & Best Practices!👇 __________________ OptimAI Network #L2 #DePIN Reinforcement Data Network for #Agentic #AI Mine Data. Fuel AI. Earn Rewards. Turn Your Data into Tomorrow’s AI #Agent. Visit our website at:
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OptimAI Lite Node v1.1: Built for Scale, Designed for You! 💕 In just 2 weeks since the launch, the OptimAI Network has seen explosive growth—130,000+ active node participants powering the future of decentralized AI. With this incredible momentum came a new challenge: ensuring our network could scale seamlessly to support massive concurrent connections and real-time participation. That’s why we’ve rolled out OptimAI Lite Node v1.1—a major upgrade focused on: + Stabilizing infrastructure to handle high traffic from a global community. + Enhancing performance for smoother data mining, validation, and edge compute participation. + Refining user experience with UI updates that make contributing effortless. Every line of code and infrastructure upgrade was made with one goal in mind: to support YOU—the builders, validators, and visionaries of the OptimAI ecosystem. Now’s the time to bring more friends into the journey. 🔥 The more we grow, the smarter and stronger the network becomes—and the greater the rewards. Let’s keep building, validating, scaling. Together we’re not just powering AI—we’re reshaping how it’s built. Join or revisit the node here: 🌐 Chrome Extension: 📱Telegram Mini-App: What’s Coming Next: OptimAI Edge Node & the Rise of Agentic AI 🔸OptimAI Edge Node (Mobile) We’re working hard on the next major release: the Edge Node for mobile, which will allow mining and AI tasks to run in the background—unlocking more earning opportunities and decentralized compute power from your smartphones. 🔸More Task Types & Missions Expect new types of contributions, from AI-enhanced data validation to edge inference and scraping automation—powered by autonomous mining agents. 🔸Expanded Rewards Program As we grow, more reward tiers, bonuses, and campaigns will be introduced. Your participation now paves the way for long-term benefits. Also, do not forget to checkout our article below and learn more about our latest Community Tips & Best Practices!👇 __________________ OptimAI Network #L2 #DePIN Reinforcement Data Network for #Agentic #AI Mine Data. Fuel AI. Earn Rewards. Turn Your Data into Tomorrow’s AI #Agent. Visit our website at:

OptimAI Network

76,472 просмотров • 1 год назад

What if you could create your own AI agent? With Bluwhale Create Agent, anyone can: • Build an AI-powered strategy • Deploy it to the marketplace • Let others use your agent • Earn when your agent performs AI agents aren’t just tools anymore. They’re becoming economic participants. 🎥 See how it works ↓
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What if you could create your own AI agent? With Bluwhale Create Agent, anyone can: • Build an AI-powered strategy • Deploy it to the marketplace • Let others use your agent • Earn when your agent performs AI agents aren’t just tools anymore. They’re becoming economic participants. 🎥 See how it works ↓

Bluwhale

23,754 просмотров • 5 месяцев назад

Watch our new Rust-based parser turn a 200+ page PDF packed with text, charts, and graphs into clean Markdown in seconds. Earnings calls, whitepapers, market research - Firecrawl can handle them all, giving you structured data ready for your AI pipeline.
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Watch our new Rust-based parser turn a 200+ page PDF packed with text, charts, and graphs into clean Markdown in seconds. Earnings calls, whitepapers, market research - Firecrawl can handle them all, giving you structured data ready for your AI pipeline.

Firecrawl

63,953 просмотров • 5 месяцев назад

What if your model handled its own tuning? ⚙️ With NVIDIA TAO 7, just prompt your coding agent what you want in plain language and let it do the rest. • Agent skills plug into your coding agent and improve accuracy. • AutoML removes the guesswork from hyperparameters. LLM-guided tuning finds strong configs up to 2x faster. • Fine-tune any Hugging Face CV or VLM model on local NVIDIA GPUs. • Data enhanced fine-tuning helps your agent identify why the model fails, then fix it. Try TAO skills ➡️
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What if your model handled its own tuning? ⚙️ With NVIDIA TAO 7, just prompt your coding agent what you want in plain language and let it do the rest. • Agent skills plug into your coding agent and improve accuracy. • AutoML removes the guesswork from hyperparameters. LLM-guided tuning finds strong configs up to 2x faster. • Fine-tune any Hugging Face CV or VLM model on local NVIDIA GPUs. • Data enhanced fine-tuning helps your agent identify why the model fails, then fix it. Try TAO skills ➡️

NVIDIA AI

41,902 просмотров • 1 месяц назад

Introducing Branding Format v2 🎨 Our endpoint for extracting brand identities from the web just got a lot better. - Works with sites built on Wix, Framer, and other no-code builders - Fewer false positive logo extraction - Handles logos hidden in bg images Try it below 👇
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Introducing Branding Format v2 🎨 Our endpoint for extracting brand identities from the web just got a lot better. - Works with sites built on Wix, Framer, and other no-code builders - Fewer false positive logo extraction - Handles logos hidden in bg images Try it below 👇

Firecrawl

57,111 просмотров • 6 месяцев назад

LangGraph. CrewAI. Agno. Which one to pick? The good news is that this will not matter soon! Finally, we have a full picture of how the industry is solving this with just three open protocols that work across ALL frameworks. It's not about picking the best framework. Instead, it's about understanding how protocols create interoperability. The Agent Protocol Landscape shows how three complementary protocols are creating a universal language for Agents: > AG-UI (Agent-User Interaction): - The bi-directional connection between agentic backends and frontends. - This is how agents become truly interactive inside your apps, not just as chatbots, but collaborative co-workers. > MCP (Model Context Protocol): - The standard for how agents connect to tools, data, and workflows. > A2A (Agent-to-Agent): - The protocol for multi-agent coordination. - How agents delegate tasks and share intent across systems. These aren't competing standards. They're layers of the same stack and have handshakes with each other. So instead of building point-to-point integrations, you build to protocols. Moreover, you can integrate LangGraph, CrewAI, or Agno into the same frontend, without rewriting your UI logic. These protocols let everything work together. For instance: - Your LangGraph agent pulls data via MCP. - It delegates analysis to a CrewAI agent via A2A. - Results stream to your React app via AG-UI. - Users see real-time collaboration in your interface. This way, you can focus on building agent capabilities instead of integration mechanics. The protocols handle interoperability automatically. CopilotKit unifies this entire stack into one framework so you can build "Cursor for X" style apps without implementing each protocol from scratch. It gives you all three protocols, generative UI support, and production-ready infrastructure in one framework. I have shared this playbook in the replies! It breaks down handshakes, misconceptions, and real examples and shows exactly how to start building.
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LangGraph. CrewAI. Agno. Which one to pick? The good news is that this will not matter soon! Finally, we have a full picture of how the industry is solving this with just three open protocols that work across ALL frameworks. It's not about picking the best framework. Instead, it's about understanding how protocols create interoperability. The Agent Protocol Landscape shows how three complementary protocols are creating a universal language for Agents: > AG-UI (Agent-User Interaction): - The bi-directional connection between agentic backends and frontends. - This is how agents become truly interactive inside your apps, not just as chatbots, but collaborative co-workers. > MCP (Model Context Protocol): - The standard for how agents connect to tools, data, and workflows. > A2A (Agent-to-Agent): - The protocol for multi-agent coordination. - How agents delegate tasks and share intent across systems. These aren't competing standards. They're layers of the same stack and have handshakes with each other. So instead of building point-to-point integrations, you build to protocols. Moreover, you can integrate LangGraph, CrewAI, or Agno into the same frontend, without rewriting your UI logic. These protocols let everything work together. For instance: - Your LangGraph agent pulls data via MCP. - It delegates analysis to a CrewAI agent via A2A. - Results stream to your React app via AG-UI. - Users see real-time collaboration in your interface. This way, you can focus on building agent capabilities instead of integration mechanics. The protocols handle interoperability automatically. CopilotKit unifies this entire stack into one framework so you can build "Cursor for X" style apps without implementing each protocol from scratch. It gives you all three protocols, generative UI support, and production-ready infrastructure in one framework. I have shared this playbook in the replies! It breaks down handshakes, misconceptions, and real examples and shows exactly how to start building.

Avi Chawla

30,932 просмотров • 9 месяцев назад