Video yükleniyor...

Video Yüklenemedi

Ana Sayfaya Dön

BREAKING 🚨: Google is working on an Agent import feature for Gemini Enterprise, to let users connect external agents into their own multi-agent workflows. Also, Agent evaluation tool, scheduled execution, new Connectors and more!

testingcatalog's profile picture

TestingCatalog News 🗞

42,197 subscribers

26,260 görüntüleme • 8 ay önce •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

0 Yorum

Yorum bulunmuyor

Orijinal gönderinin yorumları burada görünecek

Benzer Videolar

BREAKING 🚨: OpenAI is planning to announce Agent Builder on DevDay. Agent builder will let users build their agentic workflows, connect MCPs, ChatKit widgets and other tools. This is one of the smoothest Agent builder canvases I've used so far. The year of Agents 🤖
1:14

BREAKING 🚨: OpenAI is planning to announce Agent Builder on DevDay. Agent builder will let users build their agentic workflows, connect MCPs, ChatKit widgets and other tools. This is one of the smoothest Agent builder canvases I've used so far. The year of Agents 🤖

🚨 AI News | TestingCatalog

1,624,703 görüntüleme • 9 ay önce

BREAKING 🚨: Google introduced Gemini Enterprise with Agents, Connectors and Agent Builder! “It allows you to chat with your company’s documents, data and apps as well as build and deploy AI agents, all grounded in your information and context.“
0:37

BREAKING 🚨: Google introduced Gemini Enterprise with Agents, Connectors and Agent Builder! “It allows you to chat with your company’s documents, data and apps as well as build and deploy AI agents, all grounded in your information and context.“

TestingCatalog News 🗞

104,349 görüntüleme • 9 ay önce

BREAKING 🚨: Google is preparing to release Deep Think on Gemini in the coming weeks and working on a new Agent Mode! Deep Think on Gemini performs very close to the leaked "Kingfall" model. What's Agent Mode? Check below 👀
1:30

BREAKING 🚨: Google is preparing to release Deep Think on Gemini in the coming weeks and working on a new Agent Mode! Deep Think on Gemini performs very close to the leaked "Kingfall" model. What's Agent Mode? Check below 👀

TestingCatalog News 🗞

222,936 görüntüleme • 1 yıl önce

Big release here! AG-UI 🤝 Google A2A Embed A2A multi-agent meshes in your frontend, and build fullstack multi-agent apps with A2A and AG-UI. 🔍How it works: Simply drop-in A2A agent endpoints, and an A2A AG-UI orchestrator agent will bi-directionally stream events between your Agents & application. Includes: - UI for A2A Interactions - Generative UI for Agent Tool Calls - Human-in-the Loop Approvals - State Synchronization (agent mesh application state) - Frontend Tool Calls for A2A Agents Watch the demo below > LangGraph & Google ADK agents working together simultaneously inside an app Demo GitHub, docs, and more 👇
0:25

Big release here! AG-UI 🤝 Google A2A Embed A2A multi-agent meshes in your frontend, and build fullstack multi-agent apps with A2A and AG-UI. 🔍How it works: Simply drop-in A2A agent endpoints, and an A2A AG-UI orchestrator agent will bi-directionally stream events between your Agents & application. Includes: - UI for A2A Interactions - Generative UI for Agent Tool Calls - Human-in-the Loop Approvals - State Synchronization (agent mesh application state) - Frontend Tool Calls for A2A Agents Watch the demo below > LangGraph & Google ADK agents working together simultaneously inside an app Demo GitHub, docs, and more 👇

CopilotKit🪁

31,845 görüntüleme • 9 ay önce

Modern AI agents have evolved beyond a simple state graph and a few tool calls. Google Developer Expert Sam Witteveen shares 5 components you need to build world-class agents. Join Gemini Enterprise Agent Ready (GEAR) for the latest agent resources →
1:23

Modern AI agents have evolved beyond a simple state graph and a few tool calls. Google Developer Expert Sam Witteveen shares 5 components you need to build world-class agents. Join Gemini Enterprise Agent Ready (GEAR) for the latest agent resources →

Google Cloud Tech

11,047 görüntüleme • 1 ay önce

🚨 Breaking: Google just open-sourced the Agent Development Kit (ADK) a framework for building AI agents and multi-agent systems. - Build agents in under 100 lines. - Supports MCP More information and how to get started 👇 1/5
0:22

🚨 Breaking: Google just open-sourced the Agent Development Kit (ADK) a framework for building AI agents and multi-agent systems. - Build agents in under 100 lines. - Supports MCP More information and how to get started 👇 1/5

AshutoshShrivastava

130,272 görüntüleme • 1 yıl önce

I built a multimodal AI Coding Agent team with multi-agents. It has 3 AI agents working together as a team to generate and execute the code: 1. Coding Agent using o-3 mini 2. Vision Agent using Gemini 3. Code Execution Agent using o-3 mini and E2B 100% Opensource Code.
1:36

I built a multimodal AI Coding Agent team with multi-agents. It has 3 AI agents working together as a team to generate and execute the code: 1. Coding Agent using o-3 mini 2. Vision Agent using Gemini 3. Code Execution Agent using o-3 mini and E2B 100% Opensource Code.

Shubham Saboo

42,269 görüntüleme • 1 yıl önce

BREAKING 🚨: Google is working on multi-agent systems to help you refine ideas with tournament-like evaluation. Each run takes around 40 minutes and brings you 100 detailed ideas on a given research topic. 2 new multi-agents are being developed for Gemini Enterprise: - Idea Generation - "Create a multi-agent innovation session" - Co-Scientist - "Drive novel scientific discovery with Co-Scientist" Co-Scientist 3-step workflow 👀 - Tell Co-Scientist what you plan to research, point it to relevant data, and set your evaluation criteria. - A team of agents will generate ideas on your topic using their available data - The agents will evaluate the ideas against your criteria and rank them, tournament-style Google is not only automating research but also preparing a product that will enable others to do so. This is the next level 🤯
0:39

BREAKING 🚨: Google is working on multi-agent systems to help you refine ideas with tournament-like evaluation. Each run takes around 40 minutes and brings you 100 detailed ideas on a given research topic. 2 new multi-agents are being developed for Gemini Enterprise: - Idea Generation - "Create a multi-agent innovation session" - Co-Scientist - "Drive novel scientific discovery with Co-Scientist" Co-Scientist 3-step workflow 👀 - Tell Co-Scientist what you plan to research, point it to relevant data, and set your evaluation criteria. - A team of agents will generate ideas on your topic using their available data - The agents will evaluate the ideas against your criteria and rank them, tournament-style Google is not only automating research but also preparing a product that will enable others to do so. This is the next level 🤯

🚨 AI News | TestingCatalog

569,702 görüntüleme • 8 ay önce

🚨 Agent Swarms - Multi-Agents Delegate Complex Prompts To Sub-Agents Use Gemini 3.5 Flash, Opus 4.7 and GPT 5.5 xHIgh to create complex multi-agent system A master agent can orchestrate several worker agents to just do things Build full-stack apps, mobile apps and automate complex scheduled tasks Each agent can do different tasks including Q/A, monitoring and software development
1:05

🚨 Agent Swarms - Multi-Agents Delegate Complex Prompts To Sub-Agents Use Gemini 3.5 Flash, Opus 4.7 and GPT 5.5 xHIgh to create complex multi-agent system A master agent can orchestrate several worker agents to just do things Build full-stack apps, mobile apps and automate complex scheduled tasks Each agent can do different tasks including Q/A, monitoring and software development

Abacus.AI

82,820,949 görüntüleme • 1 ay önce

Multi-Agent workflows are the future of AI. OpenAI released new Agent APIs today, and Box built an Agent that combines documents from Box and web search tools to generate answers. Enterprise devs can grab sample code from our GitHub repo to customize with their data.
0:44

Multi-Agent workflows are the future of AI. OpenAI released new Agent APIs today, and Box built an Agent that combines documents from Box and web search tools to generate answers. Enterprise devs can grab sample code from our GitHub repo to customize with their data.

Aaron Levie

102,062 görüntüleme • 1 yıl önce

OPENAI 🚨: Early look at an upcoming Agent Studio for building and hosting configurable, always-on 24/7 agents on ChatGPT. The "Hermes" feature is tightly coupled with the existing Workflows builder on the OpenAI Platform, and you will also be able to open your Agents in the "Builder" tool. I hope users can assign these animated icons to their agents, too. AI Organizations are closer than you think 👀
0:21

OPENAI 🚨: Early look at an upcoming Agent Studio for building and hosting configurable, always-on 24/7 agents on ChatGPT. The "Hermes" feature is tightly coupled with the existing Workflows builder on the OpenAI Platform, and you will also be able to open your Agents in the "Builder" tool. I hope users can assign these animated icons to their agents, too. AI Organizations are closer than you think 👀

TestingCatalog News 🗞

171,238 görüntüleme • 2 ay önce

Announcing Agent Bricks: auto-optimize agents for your domain tasks. Provide a high-level description of the agent’s task, and connect your enterprise data — Agent Bricks handles the rest. Agent Bricks builds out an agent system that automatically optimizes against your goals and generates domain-specific synthetic datasets, accelerating agent development without relying on manual labeling or external sources.
0:24

Announcing Agent Bricks: auto-optimize agents for your domain tasks. Provide a high-level description of the agent’s task, and connect your enterprise data — Agent Bricks handles the rest. Agent Bricks builds out an agent system that automatically optimizes against your goals and generates domain-specific synthetic datasets, accelerating agent development without relying on manual labeling or external sources.

Databricks

47,044 görüntüleme • 1 yıl önce

It is now way easier to build multi-agent workflows in n8n with the new AI Agent Tool node. Instead of juggling sub workflows a parent AI Agent can now use other Agents as tools even several layers deep. Max shows how a cheap GPT 4.1 nano Agent handles heavy data and sends summaries to a parent Agent saving token costs and making debugging simpler. Watch the full walkthrough:
0:38

It is now way easier to build multi-agent workflows in n8n with the new AI Agent Tool node. Instead of juggling sub workflows a parent AI Agent can now use other Agents as tools even several layers deep. Max shows how a cheap GPT 4.1 nano Agent handles heavy data and sends summaries to a parent Agent saving token costs and making debugging simpler. Watch the full walkthrough:

n8n.io

27,766 görüntüleme • 11 ay önce

New course: Nvidia's NeMo Agent Toolkit: Making Agents Reliable, taught by Brian McBrayer 🐬 from NVIDIA. Many teams struggle to turn agent demos into reliable systems that are ready for production. This short course teaches you to harden agentic workflows into reliable systems using Nvidia's open-source NeMo Agent Toolkit (NAT). Whether you built your agent in raw Python or using a framework like LangGraph, or CrewAI, NAT provides building blocks for observability, evaluation, and deployment that turn proofs-of-concept into production-ready systems. NAT makes it easy to troubleshoot and optimize agent performance with execution traces, systematic evaluations, and CI/CD integration. Skills you'll gain: - Build configuration-driven agent workflows with REST APIs and minimal code - Add observability with tracing to visualize agent reasoning and debug performance bottlenecks - Create systematic evaluations using gold-standard datasets to measure and improve agent reliability - Deploy multi-agent systems with authentication, rate limiting, and professional web interfaces - Orchestrate agents from different frameworks to collaborate on complex tasks Join and learn how to turn agent demos into reliable systems!
2:01

New course: Nvidia's NeMo Agent Toolkit: Making Agents Reliable, taught by Brian McBrayer 🐬 from NVIDIA. Many teams struggle to turn agent demos into reliable systems that are ready for production. This short course teaches you to harden agentic workflows into reliable systems using Nvidia's open-source NeMo Agent Toolkit (NAT). Whether you built your agent in raw Python or using a framework like LangGraph, or CrewAI, NAT provides building blocks for observability, evaluation, and deployment that turn proofs-of-concept into production-ready systems. NAT makes it easy to troubleshoot and optimize agent performance with execution traces, systematic evaluations, and CI/CD integration. Skills you'll gain: - Build configuration-driven agent workflows with REST APIs and minimal code - Add observability with tracing to visualize agent reasoning and debug performance bottlenecks - Create systematic evaluations using gold-standard datasets to measure and improve agent reliability - Deploy multi-agent systems with authentication, rate limiting, and professional web interfaces - Orchestrate agents from different frameworks to collaborate on complex tasks Join and learn how to turn agent demos into reliable systems!

Andrew Ng

63,773 görüntüleme • 6 ay önce

BREAKING 🚨: Notion is working on a big set of new AI features for Notion Agents. - Custom MCP support - New agent integrations with Linear and Ramp - Notion Mail and Notion Calendar triggers for custom agents - Custom workers (tools) for agents - Custom Connectors - New Library and Feed tabs - AI Co-editor - And Computer Use for AI agents! 👀
0:33

BREAKING 🚨: Notion is working on a big set of new AI features for Notion Agents. - Custom MCP support - New agent integrations with Linear and Ramp - Notion Mail and Notion Calendar triggers for custom agents - Custom workers (tools) for agents - Custom Connectors - New Library and Feed tabs - AI Co-editor - And Computer Use for AI agents! 👀

TestingCatalog News 🗞

81,583 görüntüleme • 5 ay önce

Google has teased an upcoming Photoshoot feature for Pomelli Marketing Agent on Google Labs. Users will be able to upload product photo and generate photoshoot assets for their marketing campaigns. * Not available yet
0:38

Google has teased an upcoming Photoshoot feature for Pomelli Marketing Agent on Google Labs. Users will be able to upload product photo and generate photoshoot assets for their marketing campaigns. * Not available yet

TestingCatalog News 🗞

73,313 görüntüleme • 4 ay önce

New course: A2A: The Agent2Agent Protocol, built with Google Cloud Tech and IBM Research, and taught by Holt Skinner, Ivan Nardini, and Sandi Besen. Connecting agents built with different frameworks usually requires extensive custom integration. This short course teaches you A2A, the open protocol standardizing how agents discover each other and communicate. Since IBM’s ACP (Agent Communication Protocol) joined forces with A2A, A2A has emerged as the industry standard. In this course, you'll build a healthcare multi-agent system where agents built with different frameworks, such as Google ADK (Agent Development Kit) and LangGraph, collaborate through A2A. You'll wrap each agent as an A2A server, build A2A clients to connect to them, and orchestrate them into sequential and hierarchical workflows. Skills you'll gain: - Expose agents from different frameworks as A2A servers to make them discoverable and interoperable - Chain A2A agents sequentially using ADK, where one agent's output feeds into the next - Connect A2A agents to external data sources using MCP (Model Context Protocol) - Deploy A2A agents using Agent Stack, IBM's open-source infrastructure Join and learn the protocol standardizing agent collaboration!
3:06

New course: A2A: The Agent2Agent Protocol, built with Google Cloud Tech and IBM Research, and taught by Holt Skinner, Ivan Nardini, and Sandi Besen. Connecting agents built with different frameworks usually requires extensive custom integration. This short course teaches you A2A, the open protocol standardizing how agents discover each other and communicate. Since IBM’s ACP (Agent Communication Protocol) joined forces with A2A, A2A has emerged as the industry standard. In this course, you'll build a healthcare multi-agent system where agents built with different frameworks, such as Google ADK (Agent Development Kit) and LangGraph, collaborate through A2A. You'll wrap each agent as an A2A server, build A2A clients to connect to them, and orchestrate them into sequential and hierarchical workflows. Skills you'll gain: - Expose agents from different frameworks as A2A servers to make them discoverable and interoperable - Chain A2A agents sequentially using ADK, where one agent's output feeds into the next - Connect A2A agents to external data sources using MCP (Model Context Protocol) - Deploy A2A agents using Agent Stack, IBM's open-source infrastructure Join and learn the protocol standardizing agent collaboration!

Andrew Ng

85,595 görüntüleme • 5 ay önce

BREAKING 🚨: Google is testing Pitch Deck generation feature on Stitch design agent. Along with new export menu, prototype and heatmap options. Prompt to seed round? 👀
0:30

BREAKING 🚨: Google is testing Pitch Deck generation feature on Stitch design agent. Along with new export menu, prototype and heatmap options. Prompt to seed round? 👀

TestingCatalog News 🗞

19,100 görüntüleme • 8 ay önce

🤖 Agents SDK—our new open-source SDK for orchestrating multi-agent workflows, improving upon Swarm. Configure agents with built-in tools, hand off tasks, add safety guardrails, and visualize execution traces for debugging and optimizing performance.
0:32

🤖 Agents SDK—our new open-source SDK for orchestrating multi-agent workflows, improving upon Swarm. Configure agents with built-in tools, hand off tasks, add safety guardrails, and visualize execution traces for debugging and optimizing performance.

OpenAI Developers

164,359 görüntüleme • 1 yıl önce

BREAKING 🚨: OpenAI prepares to enable developers to publish their Apps and Workflows on ChatGPT via the OpenAI Platform. A new Apps directory (GPT Store v2?) will be added to ChatGPT as well. Other additions: - "Hermes" feature will let builders publish (and share?) workflows on ChatGPT - A new Apps dashboard for App creation will be added - Image generation tool will be added to Agent Builder
0:20

BREAKING 🚨: OpenAI prepares to enable developers to publish their Apps and Workflows on ChatGPT via the OpenAI Platform. A new Apps directory (GPT Store v2?) will be added to ChatGPT as well. Other additions: - "Hermes" feature will let builders publish (and share?) workflows on ChatGPT - A new Apps dashboard for App creation will be added - Image generation tool will be added to Agent Builder

TestingCatalog News 🗞

136,135 görüntüleme • 7 ay önce