Загрузка видео...

Не удалось загрузить видео

На главную

Yjs is the #1 library for collaborative editing on the web. Today we're announcing built-in Yjs support for Durable Streams. Use it to add multi-user and multi-agent collaboration to your AI apps and agentic systems. Links in the 🧵👇

ElectricSQL's profile picture

Electric

6,833 subscribers

20,177 просмотров • 4 месяцев назад •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

Комментарии: 0

Нет доступных комментариев

Здесь появятся комментарии из оригинального поста

Похожие видео

We built a collaborative editor with an AI agent as a real-time CRDT peer. It has its own cursor, streams edits into a Yjs rich text document, and resolves conflicts alongside human users automatically. Built with Durable Streams, Yjs, and TANSTACK AI. 🔗🧵
0:52

We built a collaborative editor with an AI agent as a real-time CRDT peer. It has its own cursor, streams edits into a Yjs rich text document, and resolves conflicts alongside human users automatically. Built with Durable Streams, Yjs, and TANSTACK AI. 🔗🧵

Electric

36,568 просмотров • 4 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

81,427 просмотров • 3 месяцев назад

New demo: collaborative AI CAD in the browser 🚀 Built with Electric + Durable Streams + TANSTACK DB+AI+Start - ElectricSQL + DB: data sync - Durable Streams: presence + AI + CAD (Yjs!) sync - TanStack AI: AI for cad modelling 🤯 - Coded with Cursor
0:30

New demo: collaborative AI CAD in the browser 🚀 Built with Electric + Durable Streams + TANSTACK DB+AI+Start - ElectricSQL + DB: data sync - Durable Streams: presence + AI + CAD (Yjs!) sync - TanStack AI: AI for cad modelling 🤯 - Coded with Cursor

Sam Willis

155,683 просмотров • 7 месяцев назад

Infrastructure for Multi-Agent Systems Pete Koomen Multi-agent systems are powerful but hard to build. Think agentic MapReduce with thousands of subagents running in parallel. We're looking for folks who've felt the pain of scaling these systems and want to make operating fleets of agents as easy as deploying a web service.
0:59

Infrastructure for Multi-Agent Systems Pete Koomen Multi-agent systems are powerful but hard to build. Think agentic MapReduce with thousands of subagents running in parallel. We're looking for folks who've felt the pain of scaling these systems and want to make operating fleets of agents as easy as deploying a web service.

Y Combinator

11,506 просмотров • 1 год назад

Introducing Durable Sessions — the key pattern for collaborative AI. As the world moves to getting things done through agents, the winners are going to be the products that combine AI with collaboration. Building AI apps on a Durable Session pattern is the best way to do that. The post linked in the 🧵below shows how you can build Durable Sessions into your existing stack, schema and AI SDK using Durable Streams from Electric and Tack And All That DB.
2:40

Introducing Durable Sessions — the key pattern for collaborative AI. As the world moves to getting things done through agents, the winners are going to be the products that combine AI with collaboration. Building AI apps on a Durable Session pattern is the best way to do that. The post linked in the 🧵below shows how you can build Durable Sessions into your existing stack, schema and AI SDK using Durable Streams from Electric and Tack And All That DB.

James Arthur

75,967 просмотров • 7 месяцев назад

Announcing Microsoft Agent Framework in Azure AI Foundry. As agentic AI adoption accelerates, managing multi-agent systems is harder than ever. The framework helps devs build, observe, and govern responsibly—at scale. Learn more:
1:02

Announcing Microsoft Agent Framework in Azure AI Foundry. As agentic AI adoption accelerates, managing multi-agent systems is harder than ever. The framework helps devs build, observe, and govern responsibly—at scale. Learn more:

Microsoft Azure

61,814 просмотров • 10 месяцев назад

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 просмотров • 2 лет 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 • 3 месяцев назад

New short course: Practical Multi AI Agents and Advanced Use Cases with crewAI. Learn to build and deploy advanced agent-based systems in real applications in this course, created with CrewAI and taught by its founder, João Moura! (Disclosure: I've made a small seed investment in CrewAI.) In this course, you’ll learn how to create advanced agent-based apps that use external tools, do performance testing, can be trained with human feedback, and perform multiple tasks with different large language models. You will build several practical agentic apps that provide real business value, such as an automated project planning system, lead scoring and engagement pipeline, customer support data analysis, and a robust content creation system. In detail, you will learn how to: - Create these multi-agent systems with the building blocks of tasks, agents, and crews, along with the different things that make them work, such as caching, memory, and guardrails. - Integrate your multi-agent application with internal and external systems. - Connect multiple agents in complex setups, including parallel, sequential, and hybrid configurations, and create flows involving multiple agentic applications working together. - Test your agentic workflow and train it using human feedback to optimize its performance for better and more consistent results. - Work with multiple LLMs in your multi-agent system, using the appropriate model sizes and providers to fit each agent’s specific task. - Start a project from scratch in your environment and prepare it for deployment. You’ll also learn from an interview between João and Jacob Wilson, the Commercial GenAI Principal at PwC , in which they discuss deploying agentic workflows in real industry use cases. By the end of this course, you will be equipped to start building custom multi-agentic systems for your work. Please sign up here!
2:52

New short course: Practical Multi AI Agents and Advanced Use Cases with crewAI. Learn to build and deploy advanced agent-based systems in real applications in this course, created with CrewAI and taught by its founder, João Moura! (Disclosure: I've made a small seed investment in CrewAI.) In this course, you’ll learn how to create advanced agent-based apps that use external tools, do performance testing, can be trained with human feedback, and perform multiple tasks with different large language models. You will build several practical agentic apps that provide real business value, such as an automated project planning system, lead scoring and engagement pipeline, customer support data analysis, and a robust content creation system. In detail, you will learn how to: - Create these multi-agent systems with the building blocks of tasks, agents, and crews, along with the different things that make them work, such as caching, memory, and guardrails. - Integrate your multi-agent application with internal and external systems. - Connect multiple agents in complex setups, including parallel, sequential, and hybrid configurations, and create flows involving multiple agentic applications working together. - Test your agentic workflow and train it using human feedback to optimize its performance for better and more consistent results. - Work with multiple LLMs in your multi-agent system, using the appropriate model sizes and providers to fit each agent’s specific task. - Start a project from scratch in your environment and prepare it for deployment. You’ll also learn from an interview between João and Jacob Wilson, the Commercial GenAI Principal at PwC , in which they discuss deploying agentic workflows in real industry use cases. By the end of this course, you will be equipped to start building custom multi-agentic systems for your work. Please sign up here!

Andrew Ng

341,204 просмотров • 1 год назад

StreamDB - a reactive database in a Durable Stream. Designed for AI apps and agentic session state. You give it a Standard Schema. You get type-safe, multiplexed data sync into TANSTACK DB. Links in the 🧵
1:41

StreamDB - a reactive database in a Durable Stream. Designed for AI apps and agentic session state. You give it a Standard Schema. You get type-safe, multiplexed data sync into TANSTACK DB. Links in the 🧵

Electric

21,644 просмотров • 4 месяцев назад

Don't spend 2 years learning AI agents the slow way. Andrew Ng just shared the complete 2-hour roadmap for becoming an agentic AI engineer in 2026. 00:00 - Learn the foundations of AI agents 12:12 - Design agentic workflows 53:27 - Build agents that work in practice 1:20:30 - Create self-improving loops 1:30:19 - Orchestrate multi-agent systems Most people are still learning how to prompt one model. Andrew Ng is teaching the full stack: Agents → Workflows → Loops → Multi-Agent Systems Prompting is the old workflow. Building autonomous systems is the new one. Anthropic pays top engineers up to $750K/year to understand this stack. Bookmark this and give it two hours today. Then read the full agent engineering guide below.
1:48:49

Don't spend 2 years learning AI agents the slow way. Andrew Ng just shared the complete 2-hour roadmap for becoming an agentic AI engineer in 2026. 00:00 - Learn the foundations of AI agents 12:12 - Design agentic workflows 53:27 - Build agents that work in practice 1:20:30 - Create self-improving loops 1:30:19 - Orchestrate multi-agent systems Most people are still learning how to prompt one model. Andrew Ng is teaching the full stack: Agents → Workflows → Loops → Multi-Agent Systems Prompting is the old workflow. Building autonomous systems is the new one. Anthropic pays top engineers up to $750K/year to understand this stack. Bookmark this and give it two hours today. Then read the full agent engineering guide below.

Lunar

43,669 просмотров • 4 дней назад

I'm excited to share my talk on building Agentic RAG systems at last week's event with Arize AI and Google! 🥳 My talk covered: 1. The differences between Vanilla RAG and Agentic RAG 2. The agent ecosystem and how you can build agents today 3. How Weaviate AI Database is building agents with Generative Feedback Loops (GFLs) This snippet presents the multi-agent paradigm for Agentic RAG. I hope you find this talk interesting and would love to know what you think! The slide deck and full video links are below.
2:37

I'm excited to share my talk on building Agentic RAG systems at last week's event with Arize AI and Google! 🥳 My talk covered: 1. The differences between Vanilla RAG and Agentic RAG 2. The agent ecosystem and how you can build agents today 3. How Weaviate AI Database is building agents with Generative Feedback Loops (GFLs) This snippet presents the multi-agent paradigm for Agentic RAG. I hope you find this talk interesting and would love to know what you think! The slide deck and full video links are below.

Erika Shorten

61,317 просмотров • 1 год назад

The best way to learn AI is to build with agents. To help with that, we've launched hands-on labs and a new series on Agentic Engineering. First topic: Agent Skills. Next in the pipeline: planning, context engineering, multi-agent systems, long-running agents,.. Go build!
9:09

The best way to learn AI is to build with agents. To help with that, we've launched hands-on labs and a new series on Agentic Engineering. First topic: Agent Skills. Next in the pipeline: planning, context engineering, multi-agent systems, long-running agents,.. Go build!

elvis

31,802 просмотров • 2 месяцев назад

How to use the Grok multi-image to video feature. Improved control over your settings, characters and more. Try it in the app and on web.
0:39

How to use the Grok multi-image to video feature. Improved control over your settings, characters and more. Try it in the app and on web.

Grok

10,851,375 просмотров • 4 месяцев 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 • 9 месяцев назад

Don't WASTE your time picking ONE AI and hoping it works. Use multi-agent mode to run 4 AIs at once on the SAME task: Claude Opus 4.5 → Built Neon Runner Gemini Pro 3 → Built Cube Dash Codex → Built Neon Dash Blackbox AI → Built the WINNER 🔥 One prompt. Four games. Best one wins. The best AI depends on the task. Multi-agent mode is a cheat code 💀
1:46

Don't WASTE your time picking ONE AI and hoping it works. Use multi-agent mode to run 4 AIs at once on the SAME task: Claude Opus 4.5 → Built Neon Runner Gemini Pro 3 → Built Cube Dash Codex → Built Neon Dash Blackbox AI → Built the WINNER 🔥 One prompt. Four games. Best one wins. The best AI depends on the task. Multi-agent mode is a cheat code 💀

BLACKBOX AI

15,949 просмотров • 6 месяцев назад

Google senior engineer just dropped a free 8-minute lesson on building AI agentic systems. This is the clearest explanation of multi-agent AI systems and loops you'll find on the internet. People still paying 500$ for agentic courses, while Google makes it for free. Agent Studio → Loops → Managed Agents → Antigravity → ADK 2.0 - thats the stack Watch it, then read the full guide on loop engineering below.
8:12

Google senior engineer just dropped a free 8-minute lesson on building AI agentic systems. This is the clearest explanation of multi-agent AI systems and loops you'll find on the internet. People still paying 500$ for agentic courses, while Google makes it for free. Agent Studio → Loops → Managed Agents → Antigravity → ADK 2.0 - thats the stack Watch it, then read the full guide on loop engineering below.

Codez

32,207 просмотров • 1 месяц 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

We're introducing a new set of primitives in the Responses API for long-running agentic work on computers. Server-side compaction • Enable multi-hour agent runs without hitting context limits. Containers with networking • Give OpenAI-hosted containers controlled internet access to install libraries and run scripts. Skills in the API • Native support for the Agent Skills standard and our first pre-built spreadsheets skill.
2:14

We're introducing a new set of primitives in the Responses API for long-running agentic work on computers. Server-side compaction • Enable multi-hour agent runs without hitting context limits. Containers with networking • Give OpenAI-hosted containers controlled internet access to install libraries and run scripts. Skills in the API • Native support for the Agent Skills standard and our first pre-built spreadsheets skill.

OpenAI Developers

322,722 просмотров • 6 месяцев назад