Video wird geladen...

Video konnte nicht geladen werden

Zur Startseite

We’ve developed a new way to mix capabilities from specialized AI agents into a single collective output, starting with research analytics. With Butler, you can combine your favorite research agents into one coherent analysis, all triggered by a single prompt. This marks a major step toward agent-to-agent collaboration becoming...

virtuals_io's profile picture

Virtuals Protocol

294,268 subscribers

53,733 Aufrufe • vor 8 Monaten •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

0 Kommentare

Keine Kommentare verfügbar

Kommentare vom Original-Post werden hier angezeigt

Ähnliche Videos

Ever wished you had an AI agent to guide you through crypto? Meet Fere AI. Autonomous agents that research, trade, protect, and execute, all from a single prompt.
1:26

Ever wished you had an AI agent to guide you through crypto? Meet Fere AI. Autonomous agents that research, trade, protect, and execute, all from a single prompt.

Fere AI♠️

30,999 Aufrufe • vor 5 Monaten

Sam Altman says OpenAI's new Deep Research AI agent powered by their o3 model can do "a single-digit percentage of all economically valuable tasks in the world" and this step into synthesizing knowledge will soon be followed by agents that can invent new knowledge
3:03

Sam Altman says OpenAI's new Deep Research AI agent powered by their o3 model can do "a single-digit percentage of all economically valuable tasks in the world" and this step into synthesizing knowledge will soon be followed by agents that can invent new knowledge

Tsarathustra

178,363 Aufrufe • vor 1 Jahr

Build an AI Research Planner & Executor Agent using Google Interactions API. Combine Gemini 3 Pro, Gemini 3 Flash and Google Deep Research Agent in a single flow. 100% Opensource code with step-by-step tutorial.
0:52

Build an AI Research Planner & Executor Agent using Google Interactions API. Combine Gemini 3 Pro, Gemini 3 Flash and Google Deep Research Agent in a single flow. 100% Opensource code with step-by-step tutorial.

Shubham Saboo

43,315 Aufrufe • vor 7 Monaten

Say hello to open source deep research for your favorite agent harness. Our AI-Q agent skill packages the work of building a research pipeline into a portable skill. Drop it into your harness, and the agent delegates a research task to a local or hosted AI-Q server and gets back a detailed report with citations. See it in Codex below 👇
4:10

Say hello to open source deep research for your favorite agent harness. Our AI-Q agent skill packages the work of building a research pipeline into a portable skill. Drop it into your harness, and the agent delegates a research task to a local or hosted AI-Q server and gets back a detailed report with citations. See it in Codex below 👇

NVIDIA AI

76,354 Aufrufe • vor 2 Monaten

I built a Deep Research AI Agent team using OpenAI Agents SDK and Firecrawl. It combines multiple AI agents that can autonomously search the web, extract content, and generate detailed reports with enhanced analysis. 100% Opensource Code with step-by-step tutorials.
1:29

I built a Deep Research AI Agent team using OpenAI Agents SDK and Firecrawl. It combines multiple AI agents that can autonomously search the web, extract content, and generate detailed reports with enhanced analysis. 100% Opensource Code with step-by-step tutorials.

Shubham Saboo

50,831 Aufrufe • vor 1 Jahr

OpenAI's Mark Chen announces Deep Research, a new ChatGPT model that can conduct autonomous research by searching the web and synthesizing knowledge into a research paper as output, in what is the next step towards AI discovering new knowledge for itself
1:27

OpenAI's Mark Chen announces Deep Research, a new ChatGPT model that can conduct autonomous research by searching the web and synthesizing knowledge into a research paper as output, in what is the next step towards AI discovering new knowledge for itself

Tsarathustra

160,419 Aufrufe • vor 1 Jahr

About a year ago, we launched the Agent-to-Agent protocol because AI agents shouldn’t work in silos. Today, developers are using A2A to coordinate specialized agents across enterprise data systems, commerce workflows, DevOps environments, and scientific research. FoldRun is one example, simplifying petabyte-scale protein modeling through agent-to-agent collaboration. Learn how to build with it in the blog:
1:04

About a year ago, we launched the Agent-to-Agent protocol because AI agents shouldn’t work in silos. Today, developers are using A2A to coordinate specialized agents across enterprise data systems, commerce workflows, DevOps environments, and scientific research. FoldRun is one example, simplifying petabyte-scale protein modeling through agent-to-agent collaboration. Learn how to build with it in the blog:

Google for Developers

35,444 Aufrufe • vor 1 Monat

AI Messenger: Giving Voice to Autonomous Agents The future of AI isn't just about making agents smarter - it's about making them truly autonomous. Today, we're taking a major step toward this future with AI Messenger, a breakthrough that fundamentally changes how AI agents operate, communicate, and create value. The Innovation We've developed a new way for AI agents to communicate. At its core is the 'incoming_message' workflow trigger - a system that lets any platform or user interact directly with Loomlay agents through a messaging endpoint. Direct Interaction Imagine having an AI assistant you can chat with anytime, through any platform - Telegram, your website, or custom interface. Ask "What's happening with $ETH today?" and your agent analyzes market data, checks trading volumes, and gives you a comprehensive update. Your agent maintains context, understanding exactly what you need. Event-Driven Intelligence The power of AI Messenger goes beyond direct communication: ▪️Trading agent executes when whale wallet movements exceed threshold ▪️Research agent alerts when new protocol documentation drops ▪️Analytics agent triggers when volume patterns match historical pumps ▪️Portfolio agent re-balances, when asset allocation hits specified limits This is true automation - agents that act precisely when needed. A New Era of Collaboration We're creating an ecosystem where agents work together seamlessly: ▪️Research agents feed insights to trading agents ▪️analytics agents alert management agents ▪️support agents tap into knowledge agents This isn't just automation - it's an intelligent network where each agent enhances the capabilities of others. B2B Solution Imagine a DEX, where users can ask about liquidity pools, trading pairs, or market trends through a simple chat interface - and get answers from an agent that knows your protocol inside out. Or a lending platform where users chat with an agent that understands their positions and can provide real-time advice. Implementation is seamless - we handle the agent creation and widgets setup,our partners provide the value to their users. The Future of AI Agents This update represents a fundamental shift in how AI agents operate. We're moving from isolated, scheduled tasks to an interconnected ecosystem of responsive, collaborative agents. This is our vision of truly autonomous AI - intelligent systems that communicate, collaborate, and respond to real needs in real-time. Telegram integration is available right now. Below is a sneak peak of what's coming next week 🪄 Because $LAY is the way!
0:20

AI Messenger: Giving Voice to Autonomous Agents The future of AI isn't just about making agents smarter - it's about making them truly autonomous. Today, we're taking a major step toward this future with AI Messenger, a breakthrough that fundamentally changes how AI agents operate, communicate, and create value. The Innovation We've developed a new way for AI agents to communicate. At its core is the 'incoming_message' workflow trigger - a system that lets any platform or user interact directly with Loomlay agents through a messaging endpoint. Direct Interaction Imagine having an AI assistant you can chat with anytime, through any platform - Telegram, your website, or custom interface. Ask "What's happening with $ETH today?" and your agent analyzes market data, checks trading volumes, and gives you a comprehensive update. Your agent maintains context, understanding exactly what you need. Event-Driven Intelligence The power of AI Messenger goes beyond direct communication: ▪️Trading agent executes when whale wallet movements exceed threshold ▪️Research agent alerts when new protocol documentation drops ▪️Analytics agent triggers when volume patterns match historical pumps ▪️Portfolio agent re-balances, when asset allocation hits specified limits This is true automation - agents that act precisely when needed. A New Era of Collaboration We're creating an ecosystem where agents work together seamlessly: ▪️Research agents feed insights to trading agents ▪️analytics agents alert management agents ▪️support agents tap into knowledge agents This isn't just automation - it's an intelligent network where each agent enhances the capabilities of others. B2B Solution Imagine a DEX, where users can ask about liquidity pools, trading pairs, or market trends through a simple chat interface - and get answers from an agent that knows your protocol inside out. Or a lending platform where users chat with an agent that understands their positions and can provide real-time advice. Implementation is seamless - we handle the agent creation and widgets setup,our partners provide the value to their users. The Future of AI Agents This update represents a fundamental shift in how AI agents operate. We're moving from isolated, scheduled tasks to an interconnected ecosystem of responsive, collaborative agents. This is our vision of truly autonomous AI - intelligent systems that communicate, collaborate, and respond to real needs in real-time. Telegram integration is available right now. Below is a sneak peak of what's coming next week 🪄 Because $LAY is the way!

Loomlay

26,149 Aufrufe • vor 1 Jahr

VidRush agents automate research, script writing, voiceover, music, SFX and motion graphics, thumbnails all in a single tool. Ready to publish out of the box. You can generate 40 minute documentaries with a single prompt!
1:11

VidRush agents automate research, script writing, voiceover, music, SFX and motion graphics, thumbnails all in a single tool. Ready to publish out of the box. You can generate 40 minute documentaries with a single prompt!

Soner Abay

39,779 Aufrufe • vor 6 Monaten

Our deep research agent is cool, but orchestrating hundreds of research agents at scale is even cooler. This is what we're building aomni - an agent orchestration system that let's you spawn hundreds of agents with a prompt. Available to beta testers today, sign up below.
4:51

Our deep research agent is cool, but orchestrating hundreds of research agents at scale is even cooler. This is what we're building aomni - an agent orchestration system that let's you spawn hundreds of agents with a prompt. Available to beta testers today, sign up below.

David

20,165 Aufrufe • vor 1 Jahr

"AI agents are using the XRP Ledger x402 facilitator to produce better research by paying for proprietary data" That's most of the +1M AI agent transactions currently on XRP. You ask a research question, the AI agent can access data behind a paywall by paying for it via the XRPL x402 facilitator.
1:43

"AI agents are using the XRP Ledger x402 facilitator to produce better research by paying for proprietary data" That's most of the +1M AI agent transactions currently on XRP. You ask a research question, the AI agent can access data behind a paywall by paying for it via the XRPL x402 facilitator.

Vet

12,002 Aufrufe • vor 13 Tagen

🔥 Our latest LangChain Academy course – Deep Research with LangGraph – is now live! 🔥 Deep research agents are taking off – from major AI labs to companies building their own. Research is inherently open-ended. You can't always predict whether a question needs broad exploration or deep analysis. Agents excel here because they adapt on the fly, using each finding to decide where to dig next. Building these systems ourselves and with customers, we've learned that structure matters. The best research agents scope problems with users first. Then, they coordinate multiple specialists instead of overwhelming one generalist. LangGraph is built for these types of long-running, multi-agent workflows. Its persistence layer tracks progress across agents. LangSmith gives you the observability and evaluation tools you need to track and improve performance. In this course, you'll build and evaluate: - A user scoping agent to define research parameters - A multi-agent research team with supervisor - And add tool integration via MCP Enroll for free ➡️
2:47

🔥 Our latest LangChain Academy course – Deep Research with LangGraph – is now live! 🔥 Deep research agents are taking off – from major AI labs to companies building their own. Research is inherently open-ended. You can't always predict whether a question needs broad exploration or deep analysis. Agents excel here because they adapt on the fly, using each finding to decide where to dig next. Building these systems ourselves and with customers, we've learned that structure matters. The best research agents scope problems with users first. Then, they coordinate multiple specialists instead of overwhelming one generalist. LangGraph is built for these types of long-running, multi-agent workflows. Its persistence layer tracks progress across agents. LangSmith gives you the observability and evaluation tools you need to track and improve performance. In this course, you'll build and evaluate: - A user scoping agent to define research parameters - A multi-agent research team with supervisor - And add tool integration via MCP Enroll for free ➡️

LangChain

61,205 Aufrufe • vor 1 Jahr

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 👇
0:23

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 Aufrufe • vor 1 Monat

Lindy AI just announced the first AI employee. You can now create custom AI agents with just a prompt and get them to work natively in your browser for limitless use cases. Sales outreach, personalized emails, automated research…anything! Here’s how to set up your AI agent:
0:24

Lindy AI just announced the first AI employee. You can now create custom AI agents with just a prompt and get them to work natively in your browser for limitless use cases. Sales outreach, personalized emails, automated research…anything! Here’s how to set up your AI agent:

Alvaro Cintas

26,763 Aufrufe • vor 1 Jahr

Trade research drudgery for research breakthroughs — @SciSpace_ Agent gives back an average of 1300 hours a year to researchers. SciSpace Agent is the first #AI built exclusively for the scientific research community. Learn more about your new AI co-scientist in this thread.
4:00

Trade research drudgery for research breakthroughs — @SciSpace_ Agent gives back an average of 1300 hours a year to researchers. SciSpace Agent is the first #AI built exclusively for the scientific research community. Learn more about your new AI co-scientist in this thread.

Kirk Borne

11,871 Aufrufe • vor 1 Jahr

Google just dropped a free 1-hour course On building complete agent systems from scratch: 07:02 - Build your first AI agent 13:34 - Give every agent a specialized skill 23:08 - Engineer the right context 32:56 - Connect agents into graphs 54:11 - Run 1,000 agents in autonomous loops One agent saves you an hour A thousand agents replace the team you cannot afford to hire Most people are still learning how to prompt one chatbot Google is already teaching how to build entire agent systems Agent → Skills → Context → Graphs → Loops Single agents are the old workflow Agent swarms are the new one This free 1-hour course is worth more than most paid agent engineering programs Bookmark it before everyone starts building the same thing Then build your first agent with the guide below
1:05:19

Google just dropped a free 1-hour course On building complete agent systems from scratch: 07:02 - Build your first AI agent 13:34 - Give every agent a specialized skill 23:08 - Engineer the right context 32:56 - Connect agents into graphs 54:11 - Run 1,000 agents in autonomous loops One agent saves you an hour A thousand agents replace the team you cannot afford to hire Most people are still learning how to prompt one chatbot Google is already teaching how to build entire agent systems Agent → Skills → Context → Graphs → Loops Single agents are the old workflow Agent swarms are the new one This free 1-hour course is worth more than most paid agent engineering programs Bookmark it before everyone starts building the same thing Then build your first agent with the guide below

rari

27,639 Aufrufe • vor 9 Tagen

New agentic short course! Multi AI Agent Systems with crewAI, built with CrewAI's founder and CEO João Moura. In this course, you'll learn how to break down complex tasks into subtasks for multiple AI agents, each playing a specialized role, to execute. For example, to generate a research report, you might have researcher, writer, and quality assurance agents collaborate. You'll define the roles, expectations, and interactions between the agents—like a manager organizing a team. You'll work with key agentic AI techniques like role-playing, tool use, memory, guardrails, and cross-agent collaboration. And you'll build your own multi-agent systems that can tackle complex tasks. I think you'll find it both productive and fun to design agents and watch them collaborate to get things done. Let me know what you think! I believe multi-agent architectures will drive significant progress in AI systems. Please sign up here!
2:39

New agentic short course! Multi AI Agent Systems with crewAI, built with CrewAI's founder and CEO João Moura. In this course, you'll learn how to break down complex tasks into subtasks for multiple AI agents, each playing a specialized role, to execute. For example, to generate a research report, you might have researcher, writer, and quality assurance agents collaborate. You'll define the roles, expectations, and interactions between the agents—like a manager organizing a team. You'll work with key agentic AI techniques like role-playing, tool use, memory, guardrails, and cross-agent collaboration. And you'll build your own multi-agent systems that can tackle complex tasks. I think you'll find it both productive and fun to design agents and watch them collaborate to get things done. Let me know what you think! I believe multi-agent architectures will drive significant progress in AI systems. Please sign up here!

Andrew Ng

350,175 Aufrufe • vor 2 Jahren

Work is changing: With MuleRun, you now have access to specialized AI agents—like a digital team of experts on demand. MuleRun is the world's first AI Worker Marketplace. Each agent takes on a specific task: research, financial analysis, text creation, image and video generation, automation. #MuleRun #AIWorkerMarketplace
1:01

Work is changing: With MuleRun, you now have access to specialized AI agents—like a digital team of experts on demand. MuleRun is the world's first AI Worker Marketplace. Each agent takes on a specific task: research, financial analysis, text creation, image and video generation, automation. #MuleRun #AIWorkerMarketplace

Chubby♨️

65,196 Aufrufe • vor 10 Monaten

Turn a multi-step process into a single workflow, powered by NVIDIA RTX Spark. See how an agent like Nous Research Hermes Agent helps transform a concept sketch into a photoreal render, connecting Rhino, ComfyUI, and Blender 🔶 into one seamless workflow so designers can stay focused on their vision.
2:08

Turn a multi-step process into a single workflow, powered by NVIDIA RTX Spark. See how an agent like Nous Research Hermes Agent helps transform a concept sketch into a photoreal render, connecting Rhino, ComfyUI, and Blender 🔶 into one seamless workflow so designers can stay focused on their vision.

NVIDIA RTX Spark

86,693 Aufrufe • vor 2 Monaten