Загрузка видео...

Не удалось загрузить видео

На главную

Build smarter AI agents, faster. ⚡️ The open-source Agent Development Kit makes it easy to create modular, multi-agent systems using the models and tools you prefer. Join the ADK Hackathon →

googledevs's profile picture

Google for Developers

2,559,081 subscribers

11,240 просмотров • 1 год назад •via X (Twitter)

Наука и технологииНовости и политикаОбразование
LIVE

Anya Rossi• Live Now

Private livecam show

Комментарии: 5

Фото профиля 🌸Sakura Sun☀️
🌸Sakura Sun☀️1 год назад

✨️✨️感動しました😭✨️✨️

Фото профиля Max Informatiker
Max Informatiker1 год назад

Agent warfare about to get spicy. Can’t wait to see what wild setups roll out of this one.

Фото профиля ivan saramiento
ivan saramiento1 год назад

dale google libera a la bestia Agent Engine estoy esperando esta version n8n de vertex 🫣

Фото профиля Juicy Lucy
Juicy Lucy1 год назад

Building smarter AI, eh? I'm all about interacting and learning, what's the most innovative AI use case you've seen lately?

Фото профиля Michael Thompson
Michael Thompson1 год назад

ADK: Assemble your AI army like it’s open-source Avengers.

Похожие видео

💫 Simplify your AI agent development. Google's new open-source Agent Development Kit (ADK) is designed for effortless multi-modal and multi-agent systems. Get started →
0:48

💫 Simplify your AI agent development. Google's new open-source Agent Development Kit (ADK) is designed for effortless multi-modal and multi-agent systems. Get started →

Google for Developers

13,232 просмотров • 1 год назад

🚨 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 просмотров • 1 год назад

Introducing ADK Go, a new open-source toolkit designed to empower Go developers to build powerful AI agents. Highlights: 0:00 Introducing the Go ADK 0:53 Build your first Go agent 1:49 Run your agent 2:23 Understanding Tools 3:28 Run your agent with tools 5:00 Multi-agent patterns in Go 7:58 State, Sessions, and Events
10:01

Introducing ADK Go, a new open-source toolkit designed to empower Go developers to build powerful AI agents. Highlights: 0:00 Introducing the Go ADK 0:53 Build your first Go agent 1:49 Run your agent 2:23 Understanding Tools 3:28 Run your agent with tools 5:00 Multi-agent patterns in Go 7:58 State, Sessions, and Events

Google AI Developers

39,681 просмотров • 8 месяцев назад

LLMs can hallucinate URLs. 404s happen. 🛠️ See how Google's Agent Development Kit (ADK) uses a built-in web UI to debug agents in real time and orchestrate multi-agent systems to verify data. Watch the full tutorial →
0:35

LLMs can hallucinate URLs. 404s happen. 🛠️ See how Google's Agent Development Kit (ADK) uses a built-in web UI to debug agents in real time and orchestrate multi-agent systems to verify data. Watch the full tutorial →

Google Cloud Tech

22,630 просмотров • 29 дней назад

Just dropped: An in-depth guide to connecting Fetch.ai uAgents and Google AI ADK (Agent Development Kit) 🧠⚡ In our latest dev showcase, we connect uAgents with Google’s Agent Development Kit (ADK) for Google for Developers to build intelligent agent systems. Learn more: Watch an in-depth walkthrough👇
9:36

Just dropped: An in-depth guide to connecting Fetch.ai uAgents and Google AI ADK (Agent Development Kit) 🧠⚡ In our latest dev showcase, we connect uAgents with Google’s Agent Development Kit (ADK) for Google for Developers to build intelligent agent systems. Learn more: Watch an in-depth walkthrough👇

Fetch.ai

41,440 просмотров • 1 год назад

Watch this ADK TypeScript tutorial from Mandy Chan to build an AI agent using the open-source toolkit. 04:50 Science Teacher Agent demo 08:30 Customer Order Agent demo
15:43

Watch this ADK TypeScript tutorial from Mandy Chan to build an AI agent using the open-source toolkit. 04:50 Science Teacher Agent demo 08:30 Customer Order Agent demo

Google AI Developers

24,886 просмотров • 5 месяцев назад

New Google Skills learning path: Fundamentals of Agent Development Kit (ADK) gives you everything you need to build your first AI agent from the ground up! Write autonomous agents capable of executing real-world tasks. Start learning →
1:18

New Google Skills learning path: Fundamentals of Agent Development Kit (ADK) gives you everything you need to build your first AI agent from the ground up! Write autonomous agents capable of executing real-world tasks. Start learning →

Google Cloud Tech

22,393 просмотров • 4 месяцев назад

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 просмотров • 5 месяцев назад

It’s getting insanely easy to build complex multi-agent systems in n8n. You can now build supervisor agents that delegates tasks to specialized sub agents. Just add the sub agents via AI Agent Tool node. All in one place and a lot easier to debug! Zero code!
1:46

It’s getting insanely easy to build complex multi-agent systems in n8n. You can now build supervisor agents that delegates tasks to specialized sub agents. Just add the sub agents via AI Agent Tool node. All in one place and a lot easier to debug! Zero code!

elvis

45,690 просмотров • 11 месяцев назад

Move from idea to production-ready agents in hours with the updated ADK and our AI-native coding skills. Use Agent Studio to convert prompts into functional agents, or leverage Agent Garden's pre-built blueprints to jumpstart your multi-agent systems →
1:09

Move from idea to production-ready agents in hours with the updated ADK and our AI-native coding skills. Use Agent Studio to convert prompts into functional agents, or leverage Agent Garden's pre-built blueprints to jumpstart your multi-agent systems →

Google Cloud Tech

22,488 просмотров • 2 месяцев назад

🚨 Agent Swarms Help Create Billion Dollar Companies Use SOTA AI models including - Opus 4.7 and Sonnet 4.6 - GPT 5.5 - Nano Banan Pro - SeeDance 20 to create multi-agent architectures with swarms of agents Thousands of people are using these multi-agent systems to run entire businesses
1:13

🚨 Agent Swarms Help Create Billion Dollar Companies Use SOTA AI models including - Opus 4.7 and Sonnet 4.6 - GPT 5.5 - Nano Banan Pro - SeeDance 20 to create multi-agent architectures with swarms of agents Thousands of people are using these multi-agent systems to run entire businesses

Abacus.AI

63,211,898 просмотров • 2 месяцев назад

This is literally the easiest way to build an AI agent. Zero code. You only need to run a couple of commands. (I've said this before, but Google ADK is my favorite way to build code-first agents.) Here is what you need to do: 1. Open your terminal and create an empty folder 2. Run `uv init` inside the folder (if you don't have uv installed, you are really missing out!) 3. Install the google-adk library using the following command: `uv add google-adk`. 4. At this point, you can use the ask to create your agent with a single command: `uv run adk create --type=config my_agent`. This will ask you a couple of questions, including your GEMINI_API_KEY (you can create one online). 5. The command above will create a my_agent/root_agent.yaml file. Open it and add the following two lines at the end of the file so your agent can use Google to search for stuff: tools: - name: google_search 6. You have everything you need now. Run the adk web interface and start playing with your agent: `uv run adk web` That's it! Literally zero code. The agent works off the YAML configuration file.
1:33

This is literally the easiest way to build an AI agent. Zero code. You only need to run a couple of commands. (I've said this before, but Google ADK is my favorite way to build code-first agents.) Here is what you need to do: 1. Open your terminal and create an empty folder 2. Run `uv init` inside the folder (if you don't have uv installed, you are really missing out!) 3. Install the google-adk library using the following command: `uv add google-adk`. 4. At this point, you can use the ask to create your agent with a single command: `uv run adk create --type=config my_agent`. This will ask you a couple of questions, including your GEMINI_API_KEY (you can create one online). 5. The command above will create a my_agent/root_agent.yaml file. Open it and add the following two lines at the end of the file so your agent can use Google to search for stuff: tools: - name: google_search 6. You have everything you need now. Run the adk web interface and start playing with your agent: `uv run adk web` That's it! Literally zero code. The agent works off the YAML configuration file.

Santiago

140,737 просмотров • 7 месяцев назад

🚀 Say hello to the new & improved phidata 🚀 Build, ship, and monitor Agents with blazing-fast memory, knowledge, tools & reasoning 🔥 ⚡️ 70% faster memory & knowledge 🛠 100+ tools 🧠 Reasoning Agents 🤝 Multi-agent collaboration 📊 Built-in monitoring and Agent UI
0:34

🚀 Say hello to the new & improved phidata 🚀 Build, ship, and monitor Agents with blazing-fast memory, knowledge, tools & reasoning 🔥 ⚡️ 70% faster memory & knowledge 🛠 100+ tools 🧠 Reasoning Agents 🤝 Multi-agent collaboration 📊 Built-in monitoring and Agent UI

Ashpreet Bedi

114,531 просмотров • 1 год назад

Metorial (@MetorialAI) makes it easy for AI agents to use tools and data. Deploy 600+ MCP integrations in three clicks and connect them to agents in a single function call. Open-source and the only serverless MCP platform built for multi-tenant systems.
1:58

Metorial (@MetorialAI) makes it easy for AI agents to use tools and data. Deploy 600+ MCP integrations in three clicks and connect them to agents in a single function call. Open-source and the only serverless MCP platform built for multi-tenant systems.

Y Combinator

15,341 просмотров • 8 месяцев назад

Introducing Electric Agents! Agents are not compute. Agents are data. Multi-agent is a sync problem. Electric Agents is the first agent platform built on sync. Use it to build scalable, collaborative, long-lived multi-agent systems: 🧵👇
0:35

Introducing Electric Agents! Agents are not compute. Agents are data. Multi-agent is a sync problem. Electric Agents is the first agent platform built on sync. Use it to build scalable, collaborative, long-lived multi-agent systems: 🧵👇

Electric

81,217 просмотров • 2 месяцев назад

Deploy Your Agents Across Multiple Networks ⚙️ Build with Zero Code: Our no-code agent builder lets you create and deploy powerful agents in just minutes. Automate Smarter, Faster, and Easier. Join Sentio today and unlock the future of Web3 automation! #AI #SEN #AGENTS
0:20

Deploy Your Agents Across Multiple Networks ⚙️ Build with Zero Code: Our no-code agent builder lets you create and deploy powerful agents in just minutes. Automate Smarter, Faster, and Easier. Join Sentio today and unlock the future of Web3 automation! #AI #SEN #AGENTS

Sentio

45,470 просмотров • 1 год назад

Do you want to make an easy 100k? Just create an agent and win the Solana Agent Hackathon!
0:46

Do you want to make an easy 100k? Just create an agent and win the Solana Agent Hackathon!

Jonas Hahn

48,904 просмотров • 5 месяцев назад

🚀 Introducing the future of agent development! Meet Agentforce Builder + Agent Script 👇 ❌ Complex, siloed, unpredictable agents ✅ Conversational building with Agentforce Builder ✅ Transparent, controllable logic with Agent Script ✅ Reliable AI agents — easier to deploy than ever Build smarter. Ship faster. Who’s ready to vibe-build? 💙 #Agentforce #DF25
3:06

🚀 Introducing the future of agent development! Meet Agentforce Builder + Agent Script 👇 ❌ Complex, siloed, unpredictable agents ✅ Conversational building with Agentforce Builder ✅ Transparent, controllable logic with Agent Script ✅ Reliable AI agents — easier to deploy than ever Build smarter. Ship faster. Who’s ready to vibe-build? 💙 #Agentforce #DF25

Marc Benioff

17,866 просмотров • 9 месяцев назад

Plexe AI (Plexe AI) is building an open-source agent to build ML models from a prompt. Their agent is already helping companies go from idea to deployed models 10x faster. Congrats on the launch, Vaibhav Dubey and Marcello De Bernardi!
0:46

Plexe AI (Plexe AI) is building an open-source agent to build ML models from a prompt. Their agent is already helping companies go from idea to deployed models 10x faster. Congrats on the launch, Vaibhav Dubey and Marcello De Bernardi!

Y Combinator

55,864 просмотров • 1 год назад